Big Data and cloud computing: innovation opportunities and challenges
暂无分享,去创建一个
Zhenlong Li | Qunying Huang | Kai Liu | Chaowei Phil Yang | Fei Hu | Zhenlong Li | C. Yang | Qunying Huang | F. Hu | Kai Liu
[1] Kagermann Henning. Recommendations for implementing the strategic initiative INDUSTRIE 4.0 , 2013 .
[2] Michael Eisenstein,et al. Big data: The power of petabytes , 2015, Nature.
[3] Reagan Moore,et al. Data-intensive computing and digital libraries , 1998, CACM.
[4] Amin Vahdat,et al. Themis: an I/O-efficient MapReduce , 2012, SoCC '12.
[5] Shashi Shekhar,et al. Spatial big-data challenges intersecting mobility and cloud computing , 2012, MobiDE '12.
[6] Tao Zhu,et al. Green Scheduling: A Scheduling Policy for Improving the Energy Efficiency of Fair Scheduler , 2011, 2011 12th International Conference on Parallel and Distributed Computing, Applications and Technologies.
[7] P. O'Donovan,et al. Big data in manufacturing: a systematic mapping study , 2015, Journal of Big Data.
[8] Zhenlong Li,et al. Contemporary Computing Technologies for Processing Big Spatiotemporal Data , 2015 .
[9] Rajkumar Buyya,et al. Cloud-Based Augmentation for Mobile Devices: Motivation, Taxonomies, and Open Challenges , 2013, IEEE Communications Surveys & Tutorials.
[10] Günther Sagl,et al. A Visual Analytics Approach for Extracting Spatio-Temporal Urban Mobility Information from Mobile Network Traffic , 2012, ISPRS Int. J. Geo Inf..
[11] Michele Colajanni,et al. Adaptive, scalable and reliable monitoring of big data on clouds , 2015, J. Parallel Distributed Comput..
[12] Yann Pollet,et al. The G.O.A.L. Approach - A Goal-Oriented Algebraic Language , 2013, ENASE.
[13] James M. Tien,et al. Big Data: Unleashing information , 2013, 2013 10th International Conference on Service Systems and Service Management.
[14] Qunying Huang,et al. A Web-Based Geovisual Analytical System for Climate Studies , 2012, Future Internet.
[15] Rabi Prasad Padhy,et al. RDBMS to NoSQL: Reviewing Some Next-Generation Non-Relational Database's , 2011 .
[16] Wil M. P. van der Aalst,et al. Workflow Patterns , 2003, Distributed and Parallel Databases.
[17] Kapil Aggarwala,et al. Of Spatial Data , 2006 .
[18] David W. S. Wong,et al. An interoperable spatiotemporal weather radar data dissemination system , 2009 .
[19] Peter Baumann,et al. Big Data Analytics for Earth Sciences: the EarthServer approach , 2016, Int. J. Digit. Earth.
[20] Ming-Hsiang Tsou,et al. Design and implementation strategy of a parallel agent-based Schelling model , 2015, Comput. Environ. Urban Syst..
[21] Divesh Srivastava,et al. Big data integration , 2013, 2013 IEEE 29th International Conference on Data Engineering (ICDE).
[22] Nicolas P. Terry,et al. Protecting Patient Privacy in the Age of Big Data , 2012 .
[23] Florin Pop,et al. Asymptotic scheduling for many task computing in Big Data platforms , 2015, Inf. Sci..
[24] Qunying Huang,et al. A data-driven framework for archiving and exploring social media data , 2014, Ann. GIS.
[25] Cong Wang,et al. Enabling Public Verifiability and Data Dynamics for Storage Security in Cloud Computing , 2009, ESORICS.
[26] Naphtali Rishe,et al. TerraFly GeoCloud , 2015, ACM Trans. Intell. Syst. Technol..
[27] Eui-nam Huh,et al. CTaG: An Innovative Approach for Optimizing Recovery Time in Cloud Environment , 2015, KSII Trans. Internet Inf. Syst..
[28] Zhang Min,et al. Study on Cloud Computing Security , 2011 .
[29] ChooKim-Kwang Raymond,et al. Geographical information system parallelization for spatial big data processing , 2016 .
[30] Ajith Abraham,et al. Significance of steganography on data security , 2004, International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004..
[31] Patrick Th. Eugster,et al. From the Cloud to the Atmosphere: Running MapReduce across Data Centers , 2014, IEEE Transactions on Computers.
[32] P. N. Edwards. A Vast Machine: Computer Models, Climate Data, and the Politics of Global Warming , 2010 .
[33] Muhammad Shiraz,et al. Big Data: Survey, Technologies, Opportunities, and Challenges , 2014, TheScientificWorldJournal.
[34] Ranga Raju Vatsavai,et al. Spatiotemporal data mining in the era of big spatial data: algorithms and applications , 2012, BigSpatial '12.
[35] Wenwen Li,et al. Constructing gazetteers from volunteered Big Geo-Data based on Hadoop , 2013, Comput. Environ. Urban Syst..
[36] Zhenlong Li,et al. A spatiotemporal indexing approach for efficient processing of big array-based climate data with MapReduce , 2017, Int. J. Geogr. Inf. Sci..
[37] Jon Atli Benediktsson,et al. Advances in Very-High-Resolution Remote Sensing [Scanning the Issue] , 2013, Proc. IEEE.
[38] Shaowen Wang,et al. A scalable framework for spatiotemporal analysis of location-based social media data , 2014, Comput. Environ. Urban Syst..
[39] Francisco Herrera,et al. Data Preprocessing in Data Mining , 2014, Intelligent Systems Reference Library.
[40] Zhenlong Li,et al. Cloud computing research for geosciences and applications , 2013 .
[41] Keith W. Miller,et al. Big Data: New Opportunities and New Challenges [Guest editors' introduction] , 2013, Computer.
[42] Sanjay Ghemawat,et al. MapReduce: simplified data processing on large clusters , 2008, CACM.
[43] Ariel Cary,et al. Scaling geospatial searches in large spatial databases , 2011 .
[44] Busra Ozdenizci,et al. A Survey on Near Field Communication (NFC) Technology , 2012, Wireless Personal Communications.
[45] Don Coppersmith,et al. The Data Encryption Standard (DES) and its strength against attacks , 1994, IBM J. Res. Dev..
[46] Jan Westerholm,et al. Generating Heat Maps of Popular Routes Online from Massive Mobile Sports Tracking Application Data in Milliseconds While Respecting Privacy , 2015, ISPRS Int. J. Geo Inf..
[47] Ching-Hsien Hsu,et al. An Adaptive and Memory Efficient Sampling Mechanism for Partitioning in MapReduce , 2015, International Journal of Parallel Programming.
[48] Luming Fang,et al. An Idea of Special Cloud Computing in Forest Pests' Control , 2009, CloudCom.
[49] Dawn J. Wright,et al. The emergence of spatial cyberinfrastructure , 2011, Proceedings of the National Academy of Sciences.
[50] Gagan Agrawal,et al. Time and Cost Sensitive Data-Intensive Computing on Hybrid Clouds , 2012, 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012).
[51] Arash Jalali,et al. Leveraging Cloud Computing to Address Public Health Disparities: An Analysis of the SPHPS , 2012, Online journal of public health informatics.
[52] Latifur Khan,et al. Implementation and performance evaluation of a scheduling algorithm for divisible load parallel applications in a cloud computing environment , 2015, Softw. Pract. Exp..
[53] José Antonio Lozano,et al. A Review of Auto-scaling Techniques for Elastic Applications in Cloud Environments , 2014, Journal of Grid Computing.
[54] Christophe Lefèvre,et al. Exposing HPC and sequential applications as services through the development and deployment of a SaaS cloud , 2015, Future Gener. Comput. Syst..
[55] Mark Gahegan,et al. Geospatial Cyberinfrastructure: Past, present and future , 2010, Comput. Environ. Urban Syst..
[56] Ling Liu,et al. Computing infrastructure for big data processing , 2013, Frontiers of Computer Science.
[57] Zhiwei Xu. How much power is needed for a billion-thread high-throughput server? , 2012, Frontiers of Computer Science.
[58] M.Y. Javed,et al. A Performance Comparison of Data Encryption Algorithms , 2005, 2005 International Conference on Information and Communication Technologies.
[59] C. L. Philip Chen,et al. Data-intensive applications, challenges, techniques and technologies: A survey on Big Data , 2014, Inf. Sci..
[60] Xiaoyong Du,et al. Big data challenge: a data management perspective , 2013, Frontiers of Computer Science.
[61] Yi Li,et al. A Trusted-based Cloud Computing Virtual Storage System and Key Technologies , 2015, Int. J. Comput. Commun. Control.
[62] Aaron K. Baughman,et al. Predictive Cloud Computing with Big Data: Professional Golf and Tennis Forecasting [Application Notes] , 2015, IEEE Computational Intelligence Magazine.
[63] Sanjay Ghemawat,et al. MapReduce: Simplified Data Processing on Large Clusters , 2004, OSDI.
[64] Albert Y. Zomaya,et al. Big Data Privacy in the Internet of Things Era , 2014, IT Professional.
[65] P. Mell,et al. The NIST Definition of Cloud Computing , 2011 .
[66] Ck Cheng,et al. The Age of Big Data , 2015 .
[67] David Alan Hanson,et al. Data security , 1979, ACM-SE 17.
[68] John L. Schnase,et al. MERRA Analytic Services: Meeting the Big Data challenges of climate science through cloud-enabled Climate Analytics-as-a-Service , 2013, Comput. Environ. Urban Syst..
[69] Chaowei Phil Yang,et al. Monitoring and evaluating the quality of Web Map Service resources for optimizing map composition over the internet to support decision making , 2011, Comput. Geosci..
[70] M. Goodchild. Citizens as sensors: the world of volunteered geography , 2007 .
[71] Kannan Govindarajan,et al. CDM Server: A Data Management Framework for Data Intensive Application in Internal Private Cloud Infrastructure , 2012, 2012 Seventh International Conference on P2P, Parallel, Grid, Cloud and Internet Computing.
[72] Shaowen Wang,et al. FluMapper: an interactive CyberGIS environment for massive location-based social media data analysis , 2013, XSEDE.
[73] Xiang Ju Liu. Research of Big Data Processing Platform , 2014 .
[74] John Gantz,et al. The Digital Universe in 2020: Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East , 2012 .
[75] Elisa Bertino,et al. Big Data - Security and Privacy , 2015, 2015 IEEE International Congress on Big Data.
[76] Raghunath Othayoth Nambiar,et al. Data Management - A Look Back and a Look Ahead , 2012, WBDB.
[77] Lida Xu,et al. An Integrated System for Regional Environmental Monitoring and Management Based on Internet of Things , 2014, IEEE Transactions on Industrial Informatics.
[78] Duoduo Liao,et al. On clusterization of "big data" streams , 2012, COM.Geo '12.
[79] Hong Zhao,et al. Data Security and Privacy Protection Issues in Cloud Computing , 2012, 2012 International Conference on Computer Science and Electronics Engineering.
[80] Constantinos Evangelinos,et al. Cloud Computing for parallel Scientific HPC Applications: Feasibility of Running Coupled Atmosphere- , 2008 .
[81] Han Liu,et al. Statistical analysis of big data on pharmacogenomics. , 2013, Advanced drug delivery reviews.
[82] Mattia Monga,et al. MaRDiGraS: Simplified Building of Reachability Graphs on Large Clusters , 2013, RP.
[83] Joel H. Saltz,et al. Hadoop-GIS: A High Performance Spatial Data Warehousing System over MapReduce , 2013, Proc. VLDB Endow..
[84] Qunying Huang,et al. Developing Subdomain Allocation Algorithms Based on Spatial and Communicational Constraints to Accelerate Dust Storm Simulation , 2016, PloS one.
[85] Eui-nam Huh,et al. A solution of thin-thick client collaboration for data distribution and resource allocation in cloud computing , 2013, The International Conference on Information Networking 2013 (ICOIN).
[86] Jin Wang,et al. Privacy-Preserving Smart Similarity Search Based on Simhash over Encrypted Data in Cloud Computing , 2015 .
[87] Mei-Hua Hsu,et al. A personalized English learning recommender system for ESL students , 2008, Expert Syst. Appl..
[88] Jun Zhang,et al. Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches , 2015, ACM Comput. Surv..
[89] John M. Carroll,et al. HBLAST: Parallelised sequence similarity - A Hadoop MapReducable basic local alignment search tool , 2015, J. Biomed. Informatics.
[90] H. K. Ramapriyan,et al. The Role and Evolution of NASA's Earth Science Data Systems , 2015 .
[91] Yijie Wang,et al. A General Scalable and Elastic Content-Based Publish/Subscribe Service , 2015, IEEE Transactions on Parallel and Distributed Systems.
[92] Xiaorong Li,et al. Automatic VM Allocation for Scientific Application , 2012, 2012 IEEE 18th International Conference on Parallel and Distributed Systems.
[93] Ciprian Dobre,et al. Parallel Programming Paradigms and Frameworks in Big Data Era , 2013, International Journal of Parallel Programming.
[94] Qunying Huang,et al. A Service Brokering and Recommendation Mechanism for Better Selecting Cloud Services , 2014, PloS one.
[95] Marta C. González,et al. The path most traveled: Travel demand estimation using big data resources , 2015, Transportation Research Part C: Emerging Technologies.
[96] William H. Dutton,et al. Clouds, big data, and smart assets: Ten tech-enabled business trends to watch , 2010 .
[97] Helmut Krcmar,et al. Big Data , 2014, Wirtschaftsinf..
[98] Lavanya Ramakrishnan,et al. Performance and energy efficiency of big data applications in cloud environments: A Hadoop case study , 2014, J. Parallel Distributed Comput..
[99] Feng Xu,et al. Survey of Research on Big Data Storage , 2013, 2013 12th International Symposium on Distributed Computing and Applications to Business, Engineering & Science.
[100] Yijie Wang,et al. Scalable and elastic total order in content-based publish/subscribe systems , 2015, Comput. Networks.
[101] Gary N. Geller,et al. The model web: a concept for ecological forecasting , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.
[102] Jaroslav Pokorny. NoSQL databases: a step to database scalability in web environment , 2011, iiWAS '11.
[103] Chaogui Kang,et al. Incorporating spatial interaction patterns in classifying and understanding urban land use , 2016, Int. J. Geogr. Inf. Sci..
[104] Betul Karakus,et al. Architecture and Implementation of a Scalable Sensor Data Storage and Analysis System Using Cloud Computing and Big Data Technologies , 2015, J. Sensors.
[105] Hui Zhao,et al. The Data Allocation Strategy Based on Load in NoSQL Database , 2014 .
[106] Albert Y. Zomaya,et al. CloudFlow: A data-aware programming model for cloud workflow applications on modern HPC systems , 2015, Future Gener. Comput. Syst..
[107] Ching-Hsien Hsu,et al. Locality and loading aware virtual machine mapping techniques for optimizing communications in MapReduce applications , 2015, Future Gener. Comput. Syst..
[108] Bin Zhou,et al. High-performance computing for the simulation of dust storms , 2010, Comput. Environ. Urban Syst..
[109] Rini T. Kaushik,et al. GreenHDFS: towards an energy-conserving, storage-efficient, hybrid Hadoop compute cluster , 2010 .
[110] Keqin Li,et al. A task-level adaptive MapReduce framework for real-time streaming data in healthcare applications , 2015, Future Gener. Comput. Syst..
[111] I. Bird. Computing for the Large Hadron Collider , 2011 .
[112] Miriam A. M. Capretz,et al. Knowledge as a Service Framework for Disaster Data Management , 2013, 2013 Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises.
[113] Wang Weihong,et al. Secure big data storage and sharing scheme for cloud tenants , 2015, China Communications.
[114] Qunying Huang,et al. Utilize cloud computing to support dust storm forecasting , 2013, Int. J. Digit. Earth.
[115] Taghi M. Khoshgoftaar,et al. Deep learning applications and challenges in big data analytics , 2015, Journal of Big Data.
[116] Chaowei Phil Yang,et al. Redefining the possibility of digital Earth and geosciences with spatial cloud computing , 2013, Int. J. Digit. Earth.
[117] Mateo Valero,et al. New Benchmarking Methodology and Programming Model for Big Data Processing , 2015, Int. J. Distributed Sens. Networks.
[118] Rong Gu,et al. SHadoop: Improving MapReduce performance by optimizing job execution mechanism in Hadoop clusters , 2014, J. Parallel Distributed Comput..
[119] HuangQunying,et al. Activity patterns, socioeconomic status and urban spatial structure , 2016 .
[120] Francisco Herrera,et al. MRPR: A MapReduce solution for prototype reduction in big data classification , 2015, Neurocomputing.
[121] Chih-Wei Huang,et al. CloudDOE: A User-Friendly Tool for Deploying Hadoop Clouds and Analyzing High-Throughput Sequencing Data with MapReduce , 2014, PloS one.
[122] Nello Cristianini,et al. Tracking the flu pandemic by monitoring the social web , 2010, 2010 2nd International Workshop on Cognitive Information Processing.
[123] Jian Pei,et al. A spatiotemporal compression based approach for efficient big data processing on Cloud , 2014, J. Comput. Syst. Sci..
[124] Yang Yang,et al. K-Means Method for Grouping in Hybrid MapReduce Cluster , 2013, J. Comput..
[125] Jennifer Widom,et al. Challenges and Opportunities with Big Data 2011-1 , 2011 .
[126] E. K. Karuppiah,et al. Evaluation of virtual machine scalability on distributed multi/many-core processors for big data analytics , 2012, 2012 IEEE Conference on Open Systems.
[127] Rajinder Sandhu,et al. A commercial, benefit driven and secure framework for elearning in cloud computing , 2015, Comput. Appl. Eng. Educ..
[128] Putchong Uthayopas,et al. Economical and efficient big data sharing with i-Cloud , 2014, 2014 International Conference on Big Data and Smart Computing (BIGCOMP).
[129] Kalina Bontcheva,et al. GATECloud.net: a platform for large-scale, open-source text processing on the cloud , 2013, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[130] David Maier,et al. When big data leads to lost data , 2012, PIKM '12.
[131] N. B. Anuar,et al. The rise of "big data" on cloud computing: Review and open research issues , 2015, Inf. Syst..
[132] Guihai Chen,et al. Towards Parallel Spatial Query Processing for Big Spatial Data , 2012, 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum.
[133] Xiaohua Tong,et al. Rapid three-dimensional detection approach for building damage due to earthquakes by the use of parallel processing of unmanned aerial vehicle imagery , 2015 .
[134] Gang Lu,et al. CloudRank-D: benchmarking and ranking cloud computing systems for data processing applications , 2012, Frontiers of Computer Science.
[135] William J. Kettinger,et al. Data Monetization: Lessons from a Retailer's Journey , 2013, MIS Q. Executive.
[136] Chulyun Kim. Theoretical analysis of constructing wavelet synopsis on partitioned data sets , 2014, Multimedia Tools and Applications.
[137] Asunción Gómez-Pérez,et al. Six challenges for the Semantic Web , 2002, KR 2002.
[138] Mitsuyoshi Horl,et al. Application of Cloud Computing to Agriculture and Prospects in Other Fields , 2010 .
[139] J. Manyika. Big data: The next frontier for innovation, competition, and productivity , 2011 .
[140] Kees M. van Hee,et al. Workflow Management: Models, Methods, and Systems , 2002, Cooperative information systems.
[141] A-Xing Zhu,et al. Interactive visual cluster detection in large geospatial datasets based on dynamic density volume visualization , 2016 .
[142] Michelle Cheatham,et al. Privacy in the age of big data , 2015, 2015 International Conference on Collaboration Technologies and Systems (CTS).
[143] Wenwen Li,et al. The GEOSS clearinghouse high performance search engine , 2011, 2011 19th International Conference on Geoinformatics.
[144] Hairong Kuang,et al. The Hadoop Distributed File System , 2010, 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST).
[145] Mauro Iacono,et al. Modeling performances of concurrent big data applications , 2015, Softw. Pract. Exp..
[146] Mohammad Hammoud,et al. Locality-Aware Reduce Task Scheduling for MapReduce , 2011, 2011 IEEE Third International Conference on Cloud Computing Technology and Science.
[147] Bernard Marr,et al. Big Data: Using SMART Big Data, Analytics and Metrics To Make Better Decisions and Improve Performance , 2015 .
[148] Hui Zhao,et al. MapReduce model-based optimization of range queries , 2012, 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery.
[149] Yong Wang,et al. Improving the performance of GIS polygon overlay computation with MapReduce for spatial big data processing , 2015, Cluster Computing.
[150] Zhikui Chen,et al. Distributed fuzzy c-means algorithms for big sensor data based on cloud computing , 2015, Int. J. Sens. Networks.
[151] Xuyun Zhang,et al. Privacy Preservation over Big Data in Cloud Systems , 2014 .
[152] Ying Wah Teh,et al. Time-series clustering - A decade review , 2015, Inf. Syst..
[153] Rajiv Ranjan,et al. Geographical information system parallelization for spatial big data processing: a review , 2016, Cluster Computing.
[154] Eunmi Choi,et al. An analysis of performance factors on Esper-based stream big data processing in a virtualized environment , 2014, Int. J. Commun. Syst..
[155] Chaowei Yang. Thinking and computing spatiotemporally to enable cloud computing and science discoveries , 2011, 2011 19th International Conference on Geoinformatics.
[156] Hongli Zhang,et al. Mobile cloud sensing, big data, and 5G networks make an intelligent and smart world , 2015, IEEE Network.
[157] Mitchell M. Tseng,et al. Design Considerations for Building Distributed Supply Chain Management Systems Based on Cloud Computing , 2015 .
[158] Siti Hafizah Ab Hamid,et al. Mobile storage augmentation in mobile cloud computing: Taxonomy, approaches, and open issues , 2015, Simul. Model. Pract. Theory.
[159] David Meyre,et al. From big data analysis to personalized medicine for all: challenges and opportunities , 2015, BMC Medical Genomics.
[160] Elisa Bertino,et al. Big Data for Open Digital Innovation - A Research Roadmap , 2015, Big Data Res..
[161] Mohamed Nassar,et al. RPig: A scalable framework for machine learning and advanced statistical functionalities , 2012, 4th IEEE International Conference on Cloud Computing Technology and Science Proceedings.
[162] Raja Lavanya,et al. Fog Computing and Its Role in the Internet of Things , 2019, Advances in Computer and Electrical Engineering.
[163] Michael Amberg,et al. Data Processing Requirements of Industry 4.0 - Use Cases for Big Data Applications , 2015, ECIS.
[164] D. Boyd,et al. CRITICAL QUESTIONS FOR BIG DATA , 2012 .
[165] Kevin Li,et al. Faceted metadata for image search and browsing , 2003, CHI '03.
[166] Erik Brynjolfsson,et al. Big data: the management revolution. , 2012, Harvard business review.
[167] J. Alberto Espinosa,et al. Big Data: Issues and Challenges Moving Forward , 2013, 2013 46th Hawaii International Conference on System Sciences.
[168] Rob van den Dam. Internet of Things: The Foundational Infrastructure for a Smarter Planet , 2013, NEW2AN.
[169] Ivor W. Tsang,et al. The Emerging "Big Dimensionality" , 2014, IEEE Computational Intelligence Magazine.
[170] Jignesh M. Patel,et al. Big data and its technical challenges , 2014, CACM.
[171] Ming-Hsiang Tsou. Big data: techniques and technologies in geoinformatics , 2014, Ann. GIS.
[172] Roberto De Virgilio,et al. Implementing BFS-based Traversals of RDF Graphs over MapReduce Efficiently , 2013, 2013 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing.
[173] Naphtali Rishe,et al. Leveraging Cloud Computing in Geodatabase Management , 2010, 2010 IEEE International Conference on Granular Computing.
[174] Omer Tene,et al. Privacy: The New Generations , 2011 .
[175] Qingquan Li,et al. Spatiotemporal data model for network time geographic analysis in the era of big data , 2016, Int. J. Geogr. Inf. Sci..
[176] Mohammad Kazem Akbari,et al. Survey on improved Autoscaling in Hadoop into cloud environments , 2013, The 5th Conference on Information and Knowledge Technology.
[177] Ahmad Ghafarian,et al. A Computer Forensics Approach Based on Autonomous Intelligent Multi-Agent System , 2013 .
[178] Philip S. Yeager. A DISTRIBUTED FILE SYSTEM FOR DISTRIBUTED CONFERENCING SYSTEM , 2003 .
[179] Bartha Maria Knoppers,et al. Human genetic research: emerging trends in ethics , 2006, Nature Reviews Genetics.
[180] Minghua Chen,et al. Moving Big Data to The Cloud: An Online Cost-Minimizing Approach , 2013, IEEE Journal on Selected Areas in Communications.
[181] M. H. Padgavankar,et al. Big Data Storage and Challenges , 2014 .
[182] Michael F. Goodchild,et al. Spatial cloud computing: how can the geospatial sciences use and help shape cloud computing? , 2011, Int. J. Digit. Earth.
[183] Gilles Fedak,et al. The Computational and Storage Potential of Volunteer Computing , 2006, Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06).
[184] Rui Li,et al. Adopting cloud computing to optimize spatial web portals for better performance to support Digital Earth and other global geospatial initiatives , 2015, Int. J. Digit. Earth.
[185] Loo Hay Lee,et al. Simulation Optimization: A Review and Exploration in the New Era of Cloud Computing and Big Data , 2015, Asia Pac. J. Oper. Res..
[186] Marty Humphrey,et al. Auto-scaling to minimize cost and meet application deadlines in cloud workflows , 2011, 2011 International Conference for High Performance Computing, Networking, Storage and Analysis (SC).
[187] Junho Choi,et al. Ontology-based access control model for security policy reasoning in cloud computing , 2013, The Journal of Supercomputing.
[188] Athanasios V. Vasilakos,et al. Big data: From beginning to future , 2016, Int. J. Inf. Manag..
[189] Stefan Edlich,et al. Future mobile access for open-data platforms and the BBC-DaaS system , 2013, Electronic Imaging.
[190] Zhenlong Li,et al. Automatic Scaling Hadoop in the Cloud for Efficient Process of Big Geospatial Data , 2016, ISPRS Int. J. Geo Inf..
[191] Chunming Rong,et al. Distributed Systems Combined with Advanced Network: Evolution, Applications and Challenges , 2012, 2012 8th International Conference on Wireless Communications, Networking and Mobile Computing.
[192] Nrusimham Ammu,et al. Big Data Challenges , 2013 .
[193] Milton Halem,et al. A MapReduce workflow system for architecting scientific data intensive applications , 2011, SECLOUD '11.
[194] Michael E. Papka,et al. Visualizing Large, Heterogeneous Data in Hybrid-Reality Environments , 2013, IEEE Computer Graphics and Applications.
[195] Michel Krämer,et al. A modular software architecture for processing of big geospatial data in the cloud , 2015, Comput. Graph..
[196] Abraham Silberschatz,et al. HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads , 2009, Proc. VLDB Endow..
[197] Shaowen Wang,et al. Parallel cartographic modeling: a methodology for parallelizing spatial data processing , 2016, Int. J. Geogr. Inf. Sci..
[198] Qunying Huang,et al. Optimizing grid computing configuration and scheduling for geospatial analysis: An example with interpolating DEM , 2011, Comput. Geosci..
[199] Fabrice Dupros,et al. Collaborative simulation and scientific big data analysis: Illustration for sustainability in natural hazards management and chemical process engineering , 2014, Comput. Ind..
[200] Yadira Espinal. Viktor Mayer-Schonberger and Kenneth Cukier, Big Data: A Revolution That Will Transform How We Live, Work and Think , 2013 .
[201] Xiaohong Jiang,et al. vHadoop: A Scalable Hadoop Virtual Cluster Platform for MapReduce-Based Parallel Machine Learning with Performance Consideration , 2012, 2012 IEEE International Conference on Cluster Computing Workshops.
[202] Peter Fox,et al. Changing the Equation on Scientific Data Visualization , 2011, Science.
[203] Feng-Cheng Lin,et al. The Framework of Cloud Computing Platform for Massive Remote Sensing Images , 2013, 2013 IEEE 27th International Conference on Advanced Information Networking and Applications (AINA).
[204] Sangsoo Kim,et al. Smart-Contents Visualization of Publishing Big Data Using NFC Technology , 2012, FGIT-GDC/IESH/CGAG.
[205] Zhenlong Li,et al. Optimizing Geospatial Cyberinfrastructure to Improve the Computing Capability for Climate Studies , 2015 .
[206] Jin Xing,et al. A land use/land cover change geospatial cyberinfrastructure to integrate big data and temporal topology , 2016, Int. J. Geogr. Inf. Sci..
[207] Steven Woolf,et al. Holistics 3.0 for Health , 2014, ISPRS Int. J. Geo Inf..
[208] Guan Le,et al. Survey on NoSQL database , 2011, 2011 6th International Conference on Pervasive Computing and Applications.
[209] S Rabindranath,et al. A Time Efficient Approach for Detecting Errors in Big Sensor Data on Cloud , 2018 .
[210] Ahmed Eldawy,et al. A Demonstration of SpatialHadoop: An Efficient MapReduce Framework for Spatial Data , 2013, Proc. VLDB Endow..
[211] Pieter Abbeel,et al. Image Object Label 3 D CAD Model Candidate Grasps Google Object Recognition Engine Google Cloud Storage Select Feasible Grasp with Highest Success Probability Pose EstimationCamera Robots Cloud 3 D Sensor , 2014 .
[212] Matthew Zook,et al. Social Media and the City: Rethinking Urban Socio-Spatial Inequality Using User-Generated Geographic Information , 2015 .
[213] Xiao Xue,et al. Reliable Web service composition based on QoS dynamic prediction , 2015, Soft Comput..
[214] Xiaohui Gu,et al. CloudScale: elastic resource scaling for multi-tenant cloud systems , 2011, SoCC.
[215] Gunaseelan Arivarignan,et al. Mathematics in business management , 2015, Ann. Oper. Res..
[216] Keqin Li,et al. Re-Stream: Real-time and energy-efficient resource scheduling in big data stream computing environments , 2015, Inf. Sci..
[217] Alexandros Labrinidis,et al. Challenges and Opportunities with Big Data , 2012, Proc. VLDB Endow..
[218] Minoru Uehara,et al. Proposal for Cloud Search Engine as a Service , 2012, 2012 15th International Conference on Network-Based Information Systems.
[219] Qunying Huang,et al. DisasterMapper: A CyberGIS framework for disaster management using social media data , 2015, BigSpatial@SIGSPATIAL.
[220] Wolfgang Lehner,et al. SAP HANA database: data management for modern business applications , 2012, SGMD.
[221] Laurence T. Yang,et al. A nodes scheduling model based on Markov chain prediction for big streaming data analysis , 2015, Int. J. Commun. Syst..
[222] Ioannis Chatzigiannakis,et al. Developing an IoT Smart City framework , 2013, IISA 2013.
[223] Ciprian Dobre,et al. Deadline scheduling for aperiodic tasks in inter-Cloud environments: a new approach to resource management , 2015, The Journal of Supercomputing.
[224] Hai Jiang,et al. Scaling up MapReduce-based Big Data Processing on Multi-GPU systems , 2014, Cluster Computing.
[225] Yongtae Shin,et al. Cloud Computing Availability: Multi-clouds for Big Data Service , 2012, ICHIT.
[226] Peter Christen. Privacy Aspects in Big Data Integration: Challenges and Opportunities , 2014, PSBD '14.
[227] Paul Zikopoulos,et al. Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data , 2011 .
[228] Vivekanand Gopalkrishnan,et al. Big data, big business: bridging the gap , 2012, BigMine '12.
[229] Luis M. Camarinha-Matos,et al. Technological Innovation for the Internet of Things , 2013, IFIP Advances in Information and Communication Technology.
[230] Xuyun Zhang,et al. Using arced axes in parallel coordinates geometry for high dimensional BigData visual analytics in cloud computing , 2014, Computing.
[231] Kenli Li,et al. A self-adaptive scheduling algorithm for reduce start time , 2015, Future Gener. Comput. Syst..
[232] Jérôme Dantan,et al. The G.O.A.L. Approach , 2013, ENASE 2013.
[233] Srinivasan Parthasarathy,et al. Anomaly detection and spatio-temporal analysis of global climate system , 2009, SensorKDD '09.
[234] Giancarlo Fortino,et al. Managing Data and Processes in Cloud-Enabled Large-Scale Sensor Networks: State-of-the-Art and Future Research Directions , 2013, 2013 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing.
[235] Syed Akhter Hossain,et al. NoSQL Database: New Era of Databases for Big data Analytics - Classification, Characteristics and Comparison , 2013, ArXiv.
[236] Jose María Álvarez Rodríguez,et al. Semantic-based QoS management in cloud systems: Current status and future challenges , 2014, Future Gener. Comput. Syst..
[237] A. Oguntimilehin,et al. A Review of Big Data Management, Benefits and Challenges , 2014 .
[238] Valentin Cristea,et al. Resource-aware hybrid scheduling algorithm in heterogeneous distributed computing , 2015, Future Gener. Comput. Syst..
[239] Zhenlong Li,et al. An optimized framework for seamlessly integrating OGC Web Services to support geospatial sciences , 2011, Int. J. Geogr. Inf. Sci..
[240] Eric Gossett,et al. Big Data: A Revolution That Will Transform How We Live, Work, and Think , 2015 .
[241] Silvana Trimi,et al. Big-data applications in the government sector , 2014, Commun. ACM.
[242] Advances in Very-High-Resolution Remote Sensing , .
[243] Ryosuke Shibasaki,et al. The Design of Large Scale Data Management for Spatial Analysis on Mobile Phone Dataset , 2013 .
[244] D. K. Branstad,et al. Data Encryption Standard: past and future , 1988, Proc. IEEE.
[245] Simon Wilson,et al. weather@home—development and validation of a very large ensemble modelling system for probabilistic event attribution , 2015 .
[246] Chitra Balakrishna,et al. Enabling Technologies for Smart City Services and Applications , 2012, 2012 Sixth International Conference on Next Generation Mobile Applications, Services and Technologies.
[247] Hans Schaffers,et al. Smart Cities and the Future Internet: Towards Cooperation Frameworks for Open Innovation , 2011, Future Internet Assembly.
[248] Kai Liu,et al. Using Semantic Search and Knowledge Reasoning to Improve the Discovery of Earth Science Records: An Example with the ESIP Semantic Testbed , 2014, Int. J. Appl. Geospat. Res..
[249] Hans-Ulrich Prokosch,et al. A scoping review of cloud computing in healthcare , 2015, BMC Medical Informatics and Decision Making.
[250] N. Tapus,et al. Practical application and evaluation of no-SQL databases in Cloud Computing , 2012, 2012 IEEE International Systems Conference SysCon 2012.
[251] Dursun Delen,et al. Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud , 2013, Decis. Support Syst..
[252] Massimo Torquati,et al. Parallel patterns for heterogeneous CPU/GPU architectures: Structured parallelism from cluster to cloud , 2014, Future Gener. Comput. Syst..
[253] Ching-Hsien Hsu,et al. An improved partitioning mechanism for optimizing massive data analysis using MapReduce , 2013, The Journal of Supercomputing.
[254] Qunying Huang,et al. Using adaptively coupled models and high-performance computing for enabling the computability of dust storm forecasting , 2013, Int. J. Geogr. Inf. Sci..
[255] Dong Chen,et al. Profiling, Quantifying, Modeling and Evaluating Green Service Level Objectives in Cloud Computing Environments: Profiling, Quantifying, Modeling and Evaluating Green Service Level Objectives in Cloud Computing Environments , 2014 .
[256] Zhenlong Li,et al. Building Model as a Service to support geosciences , 2017, Comput. Environ. Urban Syst..
[257] David R. O'Hallaron,et al. Tashi: location-aware cluster management , 2009, ACDC '09.
[258] Joseph M. Hellerstein. Datalog redux: experience and conjecture , 2010, PODS '10.
[259] Veda C. Storey,et al. Business Intelligence and Analytics: From Big Data to Big Impact , 2012, MIS Q..
[260] Marimuthu Palaniswami,et al. An Information Framework for Creating a Smart City Through Internet of Things , 2014, IEEE Internet of Things Journal.
[261] Qichang Chen,et al. MRGIS: A MapReduce-Enabled High Performance Workflow System for GIS , 2008, 2008 IEEE Fourth International Conference on eScience.
[262] Yoshinobu Tamura,et al. Reliability Analysis Based on a Jump Diffusion Model with Two Wiener Processes for Cloud Computing with Big Data , 2015, Entropy.
[263] Divyakant Agrawal,et al. Big data and cloud computing: current state and future opportunities , 2011, EDBT/ICDT '11.
[264] William Nick Street,et al. Healthcare information systems: data mining methods in the creation of a clinical recommender system , 2011, Enterp. Inf. Syst..
[265] Stefano Nativi,et al. Big Data challenges in building the Global Earth Observation System of Systems , 2015, Environ. Model. Softw..
[266] Peng Yue,et al. An SDI Approach for Big Data Analytics: The Case on Sensor Web Event Detection and Geoprocessing Workflow , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[267] Bryan C. Pijanowski,et al. A big data urban growth simulation at a national scale: Configuring the GIS and neural network based Land Transformation Model to run in a High Performance Computing (HPC) environment , 2014, Environ. Model. Softw..
[268] Bruno Simões,et al. Big data through cross-platform interest-based interactivity , 2014, 2014 International Conference on Big Data and Smart Computing (BIGCOMP).
[269] Elisa Bertino,et al. WORKSHOP REPORT BIG DATA SECURITY AND PRIVACY Sponsored by the National Science Foundation , 2014 .
[270] Marcos K. Aguilera,et al. Consistency-based service level agreements for cloud storage , 2013, SOSP.
[271] Klara Nahrstedt,et al. Evaluation and Analysis of GreenHDFS: A Self-Adaptive, Energy-Conserving Variant of the Hadoop Distributed File System , 2010, 2010 IEEE Second International Conference on Cloud Computing Technology and Science.
[272] Samee Ullah Khan,et al. Future Generation Computer Systems ( ) – Future Generation Computer Systems a Cloud Based Health Insurance Plan Recommendation System: a User Centered Approach , 2022 .
[273] Kishor S. Trivedi,et al. Combining Cloud and sensors in a smart city environment , 2012, EURASIP J. Wirel. Commun. Netw..
[274] Åke Grönlund,et al. Cloud computing: The beliefs and perceptions of Swedish school principals , 2015, Comput. Educ..
[275] C. Dobre,et al. A SLA-based method for big-data transfers with multi-criteria optimization constraints for IaaS , 2013, 2013 11th RoEduNet International Conference.
[276] Jinjun Chen,et al. A security framework in G-Hadoop for big data computing across distributed Cloud data centres , 2014, J. Comput. Syst. Sci..
[277] Paulo Carreira,et al. Energy Cloud: Real-Time Cloud-Native Energy Management System to Monitor and Analyze Energy Consumption in Multiple Industrial Sites , 2014, 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing.
[278] Madhusudhan Govindaraju,et al. Configuring a MapReduce Framework for Dynamic and Efficient Energy Adaptation , 2012, 2012 IEEE Fifth International Conference on Cloud Computing.
[279] Dongwoo Kang,et al. Burstiness-aware I/O scheduler for MapReduce framework on virtualized environments , 2014, 2014 International Conference on Big Data and Smart Computing (BIGCOMP).
[280] Xiaoyi Zhou,et al. A Research on Smart Tourism Service Mechanism Based on Context Awareness , 2014, CIT 2014.
[281] D. Butler. Data, data everywhere... , 2005, Nature Structural &Molecular Biology.
[282] Joseph M. Hellerstein,et al. Boom analytics: exploring data-centric, declarative programming for the cloud , 2010, EuroSys '10.
[283] Qunying Huang,et al. Using spatial principles to optimize distributed computing for enabling the physical science discoveries , 2011, Proceedings of the National Academy of Sciences.
[284] Ying Jiang,et al. A Data Localization Algorithm for Distributing Column Storage System of Big Data , 2013 .
[285] Yifan Bo,et al. The Application of Cloud Computing and the Internet of Things in Agriculture and Forestry , 2011, 2011 International Joint Conference on Service Sciences.
[286] Paul D. Manuel,et al. A trust model of cloud computing based on Quality of Service , 2015, Ann. Oper. Res..
[287] Lori M. Kaufman,et al. Data Security in the World of Cloud Computing , 2009, IEEE Security & Privacy.
[288] Brian David Johnson,et al. Entertainment in the Age of Big Data , 2012, Proceedings of the IEEE.
[289] Surya Nepal,et al. An autonomic framework for enhancing the quality of data grid services , 2012, Future Gener. Comput. Syst..
[290] Justin Grimmer,et al. We Are All Social Scientists Now: How Big Data, Machine Learning, and Causal Inference Work Together , 2014, PS: Political Science & Politics.
[291] Sun Da. Profiling,Quantifying,Modeling and Evaluating Green Service Level Objectives in Cloud Computing Environments , 2013 .
[292] Qunying Huang,et al. Activity patterns, socioeconomic status and urban spatial structure: what can social media data tell us? , 2016, Int. J. Geogr. Inf. Sci..
[293] Wendi Heinzelman,et al. COMBAT: mobile-Cloud-based cOmpute/coMmunications infrastructure for BATtlefield applications , 2012, Defense, Security, and Sensing.
[294] Rion Dooley,et al. Life science data analysis workflow development using the bioextract server leveraging the iPlant collaborative cyberinfrastructure , 2015, Concurr. Comput. Pract. Exp..
[295] Keqiu Li,et al. Big Data Processing in Cloud Computing Environments , 2012, 2012 12th International Symposium on Pervasive Systems, Algorithms and Networks.
[296] Young-Kuk Kim,et al. An Intrusive Analyzer for Hadoop Systems Based on Wireless Sensor Networks , 2014, Int. J. Distributed Sens. Networks.
[297] Yongzhao Zhan,et al. Maximum Neighborhood Margin Discriminant Projection for Classification , 2014, TheScientificWorldJournal.
[298] Taku A. Tokuyasu,et al. Hypergraph visualization and enrichment statistics: how the EGAN paradigm facilitates organic discovery from big data , 2011, Electronic Imaging.
[299] Jinjun Chen,et al. A Time Efficient Approach for Detecting Errors in Big Sensor Data on Cloud , 2015, IEEE Transactions on Parallel and Distributed Systems.
[300] Chaowei Yang,et al. Enabling Big Geoscience Data Analytics with a Cloud-Based, MapReduce-Enabled and Service-Oriented Workflow Framework , 2015, PloS one.
[301] Hilo,et al. THE ELEVENTH AND TWELFTH DATA RELEASES OF THE SLOAN DIGITAL SKY SURVEY: FINAL DATA FROM SDSS-III , 2015, 1501.00963.
[302] Sandeep K. Sood,et al. Scheduling of big data applications on distributed cloud based on QoS parameters , 2014, Cluster Computing.
[303] Thomas S. Huang,et al. Reconstructing Sessions from Data Discovery and Access Logs to Build a Semantic Knowledge Base for Improving Data Discovery , 2016, ISPRS Int. J. Geo Inf..
[304] Kai Liu,et al. Optimizing an index with spatiotemporal patterns to support GEOSS Clearinghouse , 2014, Int. J. Geogr. Inf. Sci..
[305] Parijat Dube,et al. Autoscaling for Hadoop Clusters , 2016, 2016 IEEE International Conference on Cloud Engineering (IC2E).
[306] C. Kesselman,et al. A Metadata Catalog Service for Data Intensive Applications , 2003, ACM/IEEE SC 2003 Conference (SC'03).
[307] Pat Doody,et al. Mining network relationships in the internet of things , 2012, Self-IoT '12.
[308] Nabil Sultan,et al. loud computing for education : A new dawn ? , 2009 .
[309] Rajkumar Buyya,et al. Big Data computing and clouds: Trends and future directions , 2013, J. Parallel Distributed Comput..
[310] Marimuthu Palaniswami,et al. Internet of Things (IoT): A vision, architectural elements, and future directions , 2012, Future Gener. Comput. Syst..
[311] Dengguo Feng,et al. Study on Cloud Computing Security: Study on Cloud Computing Security , 2011 .
[312] Erik G. Hoel,et al. Spatial indexing and analytics on Hadoop , 2014, SIGSPATIAL/GIS.
[313] Kai Liu,et al. Forming a global monitoring mechanism and a spatiotemporal performance model for geospatial services , 2015, Int. J. Geogr. Inf. Sci..
[314] Jordi Torres,et al. GreenHadoop: leveraging green energy in data-processing frameworks , 2012, EuroSys '12.
[315] Bin Zhou,et al. Performance improvement techniques for geospatial web services in a cyberinfrastructure environment - A case study with a disaster management portal , 2015, Comput. Environ. Urban Syst..
[316] Edd Dumbill,et al. A Revolution That Will Transform How We Live, Work, and Think: An Interview with the Authors of Big Data , 2013, Big Data.
[317] R. Rust,et al. IT-Related Service , 2013 .
[318] Angappa Gunasekaran,et al. Education and training for successful career in Big Data and Business Analytics , 2015 .