Big Data for Smart Infrastructure Design: Opportunities and Challenges
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Rashid Mehmood | Iyad Katib | Sardar Usman | Yasir Arfat | Iyad A. Katib | Yasir Arfat | Rashid Mehmood | Sardar Usman
[1] Rashid Mehmood,et al. Autonomic Transport Management Systems—Enabler for Smart Cities, Personalized Medicine, Participation and Industry Grid/Industry 4.0 , 2016 .
[2] Rashid Mehmood,et al. Enabling Smarter Societies through Mobile Big Data Fogs and Clouds , 2017, ANT/SEIT.
[3] Rashid Mehmood,et al. UTiLearn: A Personalised Ubiquitous Teaching and Learning System for Smart Societies , 2017, IEEE Access.
[4] Fei Wang,et al. A MapReduce Task Scheduling Algorithm for Deadline-Constraint in Homogeneous Environment , 2014 .
[5] Ching-Hsien Hsu,et al. Locality and loading aware virtual machine mapping techniques for optimizing communications in MapReduce applications , 2015, Future Gener. Comput. Syst..
[6] Indranil Palit,et al. Scalable and Parallel Boosting with MapReduce , 2012, IEEE Transactions on Knowledge and Data Engineering.
[7] Rashid Mehmood,et al. Location Privacy in Smart Cities Era , 2017 .
[8] Scott Shenker,et al. Shark: fast data analysis using coarse-grained distributed memory , 2012, SIGMOD Conference.
[9] Rashid Mehmood,et al. Data Fusion and IoT for Smart Ubiquitous Environments: A Survey , 2017, IEEE Access.
[10] Zongben Xu,et al. Exploring Big Data Analysis: Fundamental Scientific Problems , 2015 .
[11] Maozhen Li,et al. Data locality in Hadoop cluster systems , 2014, 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).
[12] Yasin N. Silva,et al. Exploiting MapReduce-based similarity joins , 2012, SIGMOD Conference.
[13] Chitra Babu,et al. CoHadoop++: A load balanced data co-location in Hadoop Distributed File System , 2013, 2013 Fifth International Conference on Advanced Computing (ICoAC).
[14] K. Radha,et al. Slot Utilization and Performance Improvement in Hadoop Cluster , 2016 .
[15] Michael Lang,et al. Optimizing load balancing and data-locality with data-aware scheduling , 2014, 2014 IEEE International Conference on Big Data (Big Data).
[16] C. Kruse,et al. Challenges and Opportunities of Big Data in Health Care: A Systematic Review , 2016, JMIR medical informatics.
[17] Yang Yang,et al. A load balance algorithm based on nodes performance in Hadoop cluster , 2014, The 16th Asia-Pacific Network Operations and Management Symposium.
[18] Murat Ali Bayir,et al. Improving the performance of Hadoop Hive by sharing scan and computation tasks , 2014, Journal of Cloud Computing.
[19] Dan Li,et al. Dependency-Aware Data Locality for MapReduce , 2014, 2014 IEEE 7th International Conference on Cloud Computing.
[20] Rashid Mehmood,et al. A Framework for Faster Porting of Scientific Applications Between Heterogeneous Clouds , 2017 .
[21] Bo Hong,et al. Grouping Blocks for MapReduce Co-Locality , 2015, 2015 IEEE International Parallel and Distributed Processing Symposium.
[22] Jo Saunders,et al. The effects of age on remembering and knowing misinformation , 2010, Memory.
[23] Dan Suciu,et al. Distributed query evaluation on semistructured data , 2002, TODS.
[24] Horacio González-Vélez,et al. Novel Data-Distribution Technique for Hadoop in Heterogeneous Cloud Environments , 2015, 2015 Ninth International Conference on Complex, Intelligent, and Software Intensive Systems.
[25] Rashid Mehmood,et al. Big Data Enabled Healthcare Supply Chain Management: Opportunities and Challenges , 2017 .
[26] Rashid Mehmood,et al. Big data logistics: a health-care transport capacity sharing model , 2015 .
[27] Z. Irani,et al. Critical analysis of Big Data challenges and analytical methods , 2017 .
[28] Jun Wang,et al. Optimize Parallel Data Access in Big Data Processing , 2015, 2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing.
[29] Xin Huang,et al. Novel heuristic speculative execution strategies in heterogeneous distributed environments , 2016, Comput. Electr. Eng..
[30] Lu Wang,et al. Load Balancing in MapReduce Based on Data Locality , 2014, ICA3PP.
[31] Vikrant Bhateja,et al. Information Systems Design and Intelligent Applications , 2019, Advances in Intelligent Systems and Computing.
[32] Wei-Kuan Shih,et al. LaSA: A locality-aware scheduling algorithm for Hadoop-MapReduce resource assignment , 2013, 2013 International Conference on Collaboration Technologies and Systems (CTS).
[33] Rashid Mehmood,et al. Analysis of Tweets in Arabic Language for Detection of Road Traffic Conditions , 2017 .
[34] Yongxuan Lai,et al. SALA: A Skew-Avoiding and Locality-Aware Algorithm for MapReduce-Based Join , 2015, WAIM.
[35] Scott Shenker,et al. Spark: Cluster Computing with Working Sets , 2010, HotCloud.
[36] Ravinder Kaur,et al. Hadoop: Addressing challenges of Big Data , 2014, 2014 IEEE International Advance Computing Conference (IACC).
[37] Geoffrey C. Fox,et al. Investigation of Data Locality in MapReduce , 2012, 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012).
[38] Vincent W. Freeh,et al. Dynamically Controlling Node-Level Parallelism in Hadoop , 2015, 2015 IEEE 8th International Conference on Cloud Computing.
[39] Scott Shenker,et al. Delay scheduling: a simple technique for achieving locality and fairness in cluster scheduling , 2010, EuroSys '10.
[40] Rashid Mehmood,et al. Enabling Next Generation Logistics and Planning for Smarter Societies , 2017, ANT/SEIT.
[41] Shicong Meng,et al. Improving ReduceTask data locality for sequential MapReduce jobs , 2013, 2013 Proceedings IEEE INFOCOM.
[42] Jun Wang,et al. DRAW: A new Data-gRouping-AWare data placement scheme for data intensive applications with interest locality , 2012 .
[43] Rashid Mehmood,et al. A Smart Pain Management System Using Big Data Computing , 2017 .
[44] Guoping Wang,et al. Multi-Query Optimization in MapReduce Framework , 2013, Proc. VLDB Endow..
[45] Rajiv Ranjan,et al. G-Hadoop: MapReduce across distributed data centers for data-intensive computing , 2013, Future Gener. Comput. Syst..
[46] Rashid Mehmood,et al. Towards a Semantically Enriched Computational Intelligence (SECI) Framework for Smart Farming , 2017 .
[47] S. Chauhan,et al. Addressing big data challenges in smart cities: a systematic literature review , 2016 .
[48] Xuehai Zhou,et al. Scheduling algorithm based on prefetching in MapReduce clusters , 2016, Appl. Soft Comput..
[49] Rabi Prasad Padhy. Big Data Processing with Hadoop-MapReduce in Cloud Systems , 2012, CloudCom 2012.
[50] Yang Wang,et al. Smart Shuffling in MapReduce: A Solution to Balance Network Traffic and Workloads , 2015, 2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (UCC).
[51] Hashem Omrani,et al. An integrated multi-objective Markowitz-DEA cross-efficiency model with fuzzy returns for portfolio selection problem , 2016, Appl. Soft Comput..
[52] Shrideep Pallickara,et al. A Survey of Load Balancing Techniques for Data Intensive Computing , 2011 .
[53] Rashid Mehmood,et al. Future Networked Healthcare Systems: A Review and Case Study , 2016 .
[54] Adnan Yazici,et al. Improving Hadoop Hive Query Response Times Through Efficient Virtual Resource Allocation , 2015, FQAS.
[55] Madhusudhan Govindaraju,et al. MARLA: MapReduce for Heterogeneous Clusters , 2012, 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012).
[56] Reema Rhine,et al. Locality Aware MapReduce , 2015, IBICA.
[57] Walid G. Aref,et al. Kangaroo: Workload-Aware Processing of Range Data and Range Queries in Hadoop , 2016, WSDM '16.
[58] Rashid Mehmood,et al. Disaster Management in Smart Cities by Forecasting Traffic Plan Using Deep Learning and GPUs , 2017 .
[59] Ruini Xue,et al. BOLAS: Bipartite-Graph Oriented Locality-Aware Scheduling for MapReduce Tasks , 2015, 2015 14th International Symposium on Parallel and Distributed Computing.
[60] Sun-Yuan Hsieh,et al. A Dynamic Data Placement Strategy for Hadoop in Heterogeneous Environments , 2014, Big Data Res..
[61] Yuhong Feng,et al. An effective data locality aware task scheduling method for MapReduce framework in heterogeneous environments , 2011, 2011 International Conference on Cloud and Service Computing.
[62] Zhenjiang Hu,et al. Efficient query evaluation on distributed graphs with Hadoop environment , 2013, SoICT '13.
[63] Seung Ryoul Maeng,et al. Locality-aware dynamic VM reconfiguration on MapReduce clouds , 2012, HPDC '12.
[64] Liu Yang,et al. New improvement of the Hadoop relevant data locality scheduling algorithm based on LATE , 2011, 2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC).
[65] Rashid Mehmood,et al. Parallel Sparse Matrix Vector Multiplication on Intel MIC: Performance Analysis , 2017 .
[66] S. Sujitha,et al. Aggrandizing Hadoop in terms of node Heterogeneity & Data Locality , 2013, INTERNATIONAL CONFERENCE ON SMART STRUCTURES AND SYSTEMS - ICSSS'13.
[67] Dharavath Ramesh,et al. Delay Scheduling with Reduced Workload on JobTracker in Hadoop , 2015, IBICA.
[68] Takashi Gojobori,et al. DNA Profiling Methods and Tools: A Review , 2017 .
[69] Yun Tian,et al. Improving MapReduce performance through data placement in heterogeneous Hadoop clusters , 2010, 2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW).
[70] Hai Jin,et al. LEEN: Locality/Fairness-Aware Key Partitioning for MapReduce in the Cloud , 2010, 2010 IEEE Second International Conference on Cloud Computing Technology and Science.
[71] Michael J. Franklin,et al. Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing , 2012, NSDI.
[72] Rashid Mehmood,et al. UbeHealth: A Personalized Ubiquitous Cloud and Edge-Enabled Networked Healthcare System for Smart Cities , 2018, IEEE Access.
[73] Wei Tang,et al. FlexAnalytics: A Flexible Data Analytics Framework for Big Data Applications with I/O Performance Improvement , 2014, Big Data Res..
[74] Scott Shenker,et al. Shark: SQL and rich analytics at scale , 2012, SIGMOD '13.
[75] Zhiwei Xu,et al. RCFile: A fast and space-efficient data placement structure in MapReduce-based warehouse systems , 2011, 2011 IEEE 27th International Conference on Data Engineering.
[76] Rajashekhar M. Arasanal,et al. Improving MapReduce Performance through Complexity and Performance Based Data Placement in Heterogeneous Hadoop Clusters , 2013, ICDCIT.
[77] Rashid Mehmood,et al. Big Data and HPC Convergence: The Cutting Edge and Outlook , 2017 .
[78] Cherif A. A. BISSIRIOU,et al. Big data analysis and query optimization improve HadoopDB performance , 2014, SEM '14.
[79] Zhiyang Li,et al. Balancing reducer workload for skewed data using sampling-based partitioning , 2014, Comput. Electr. Eng..
[80] Rashid Mehmood,et al. Automatic Event Detection in Smart Cities Using Big Data Analytics , 2017 .
[81] Rashid Mehmood,et al. D2TFRS: An Object Recognition Method for Autonomous Vehicles Based on RGB and Spatial Values of Pixels , 2017 .
[82] S GuruPrasadM,et al. Performance Analysis of Schedulers to Handle Multi Jobs in Hadoop Cluster , 2015 .
[83] G. Sudha Sadasivam,et al. A novel parallel hybrid PSO-GA using MapReduce to schedule jobs in Hadoop data grids , 2010, 2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC).
[84] Rong Gu,et al. SHadoop: Improving MapReduce performance by optimizing job execution mechanism in Hadoop clusters , 2014, J. Parallel Distributed Comput..
[85] Rashid Mehmood,et al. Parallel Shortest Path Graph Computations of United States Road Network Data on Apache Spark , 2017 .
[86] N. B. Anuar,et al. The rise of "big data" on cloud computing: Review and open research issues , 2015, Inf. Syst..
[87] Sang-goo Lee,et al. Handling data skew in join algorithms using MapReduce , 2016, Expert Syst. Appl..
[88] Fang Dong,et al. Multi-Q: Multiple Queries Optimization Based on MapReduce in Cloud , 2014 .
[89] Rashid Mehmood,et al. Enabling Reliable and Resilient IoT Based Smart City Applications , 2017 .
[90] Qiaoyan Wen,et al. Load balancing solution based on AHP for Hadoop , 2014, 2014 IEEE Workshop on Electronics, Computer and Applications.
[91] Wahiba Bahsoun,et al. An Exploratory Study on Using Social Information Networks for Flexible Literature Access , 2009, FQAS.
[92] Yuanyuan Tian,et al. CoHadoop: Flexible Data Placement and Its Exploitation in Hadoop , 2011, Proc. VLDB Endow..
[93] Yunhao Liu,et al. Big Data: A Survey , 2014, Mob. Networks Appl..
[94] D. Ramesh,et al. Improved Task Graph-based Parallel Data Processing for Dynamic Resource Allocation in Cloud , 2012 .
[95] Zheng Shao,et al. Hive - a petabyte scale data warehouse using Hadoop , 2010, 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010).
[96] Cong Xu,et al. Virtual Shuffling for Efficient Data Movement in MapReduce , 2015, IEEE Transactions on Computers.