Cloud-based emerging services systems

The emerging services and analytics advocate the service delivery in a polymorphic view that successfully serves a variety of audience. The amalgamation of numerous modern technologies such as cloud computing, Internet of Things (IoT) and Big Data is the potential support behind the emerging services Systems. Today, IoT, also dubbed as ubiquitous sensing is taking the center stage over the traditional paradigm. The evolution of IoT necessitates the expansion of cloud horizon to deal with emerging challenges. In this paper, we study the cloud-based emerging services, useful in IoT paradigm, that support the effective data analytics. Also, we conceive a new classification called CNNC {Clouda, NNClouda) for cloud data models; further, some important case studies are also discussed to further strengthen the classification.

[1]  Keqiu Li,et al.  Big Data Processing in Cloud Computing Environments , 2012, 2012 12th International Symposium on Pervasive Systems, Algorithms and Networks.

[2]  Patrick Martin,et al.  Towards Cloud-Based Analytics-as-a-Service (CLAaaS) for Big Data Analytics in the Cloud , 2013, 2013 IEEE International Congress on Big Data.

[3]  Rita Cucchiara,et al.  Intelligent Video Surveillance as a Service , 2013, Intelligent Multimedia Surveillance.

[4]  Victor Chang,et al.  Business Integration as a Service: Computational risk analysis for small and medium enterprises adopting SAP , 2013, Int. J. Next Gener. Comput..

[5]  Johnny S. Wong,et al.  A Brief Review on Leading Big Data Models , 2014, Data Sci. J..

[6]  Srinivas Aluru,et al.  A Special Issue of Journal of Parallel and Distributed Computing: Scalable Systems for Big Data Management and Analytics , 2013 .

[7]  Victor Chang,et al.  TEMPORARY REMOVAL: An overview, examples and impacts offered by Emerging Services and Analytics in Cloud Computing , 2015 .

[8]  Ion Stoica,et al.  Failure as a Service (FaaS): A Cloud Service for Large- Scale, Online Failure Drills , 2011 .

[9]  Victor I. Chang,et al.  The development that leads to the Cloud Computing Business Framework , 2013, Int. J. Inf. Manag..

[10]  Domenico Talia,et al.  Clouds for Scalable Big Data Analytics , 2013, Computer.

[11]  Jinhui Yao,et al.  DIaaS: Data Integrity as a Service in the Cloud , 2011, 2011 IEEE 4th International Conference on Cloud Computing.

[12]  Antonio Puliafito,et al.  Enabling the Cloud of Things , 2012, 2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing.

[13]  Hassan Takabi,et al.  Policy Management as a Service: An Approach to Manage Policy Heterogeneity in Cloud Computing Environment , 2012, 2012 45th Hawaii International Conference on System Sciences.

[14]  Muthu Dayalan,et al.  MapReduce : Simplified Data Processing on Large Cluster , 2018 .

[15]  Schahram Dustdar,et al.  DEMODS: A Description Model for Data-as-a-Service , 2012, 2012 IEEE 26th International Conference on Advanced Information Networking and Applications.

[16]  Dirk DeRoos,et al.  Hadoop For Dummies , 2014 .

[17]  Muthu Ramachandran,et al.  Cloud Computing Adoption Framework – a security framework for business clouds , 2015 .

[18]  Surya Nepal,et al.  An autonomic framework for enhancing the quality of data grid services , 2012, Future Gener. Comput. Syst..

[19]  Dursun Delen,et al.  Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud , 2013, Decis. Support Syst..

[20]  Minghua Chen,et al.  Moving big data to the cloud , 2013, 2013 Proceedings IEEE INFOCOM.

[21]  J. Manyika.  Big data: The next frontier for innovation, competition, and productivity , 2011 .

[22]  Eero Vainikko,et al.  Adapting scientific computing problems to clouds using MapReduce , 2012, Future Gener. Comput. Syst..

[23]  David W. Chadwick,et al.  Security-as-a-Service in Multi-cloud and Federated Cloud Environments , 2015, IFIPTM.

[24]  Mo M. Jamshidi,et al.  System of Systems and Big Data analytics - Bridging the gap , 2014, Comput. Electr. Eng..

[25]  Judith Hurwitz,et al.  Big Data For Dummies , 2013 .

[26]  Srikanta Patnaik,et al.  Leading NoSQL models for handling Big Data: a brief review , 2016, Int. J. Bus. Inf. Syst..

[27]  Sneha A. Dalvi,et al.  Internet of Things for Smart Cities , 2017 .

[28]  Artemis Moroni,et al.  Vision and Challenges for Realising the Internet of Things , 2010 .

[29]  Kevin Ashton,et al.  That ‘Internet of Things’ Thing , 1999 .

[30]  Yen-Kuang Chen,et al.  Challenges and opportunities of internet of things , 2012, 17th Asia and South Pacific Design Automation Conference.

[31]  Bongsik Shin,et al.  Data quality management, data usage experience and acquisition intention of big data analytics , 2014, Int. J. Inf. Manag..

[32]  Raouf Boutaba,et al.  Cloud computing: state-of-the-art and research challenges , 2010, Journal of Internet Services and Applications.

[33]  Yacine Ghamri-Doudane,et al.  The “Object-as-a-Service” paradigm , 2014, 2014 Global Information Infrastructure and Networking Symposium (GIIS).

[34]  Marco Di Sano,et al.  Business Intelligence as a Service: A New Approach to Manage Business Processes in the Cloud , 2014, 2014 IEEE 23rd International WETICE Conference.

[35]  Dhiren R. Patel,et al.  Tradeoffs between performance and security of cryptographic primitives used in storage as a service for cloud computing , 2012, CUBE.

[36]  Yongtae Shin,et al.  Cloud Computing Availability: Multi-clouds for Big Data Service , 2012, ICHIT.

[37]  Victor I. Chang,et al.  Business Integration as a Service , 2012, Int. J. Cloud Appl. Comput..

[38]  C. L. Philip Chen,et al.  Data-intensive applications, challenges, techniques and technologies: A survey on Big Data , 2014, Inf. Sci..

[39]  Sanjay Ghemawat,et al.  MapReduce: Simplified Data Processing on Large Clusters , 2004, OSDI.

[40]  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..

[41]  Weizhong Yan,et al.  p-PIC: Parallel power iteration clustering for big data , 2013, J. Parallel Distributed Comput..

[42]  Victor I. Chang,et al.  Emerging Software as a Service and Analytics , 2015, Open J. Cloud Comput..

[43]  Arati Baliga,et al.  VPMN: virtual private mobile network towards mobility-as-a-service , 2011, MCS '11.

[44]  Sateesh K. Peddoju,et al.  Classification and comparison of NoSQL big data models , 2015, Int. J. Big Data Intell..

[45]  Wendy Hui Wang,et al.  AUDIO: An Integrity Auditing Framework of Outlier-Mining-as-a-Service Systems , 2012, ECML/PKDD.

[46]  Jeff Z. Pan,et al.  Resource Description Framework , 2020, Definitions.

[47]  Verena Kantere,et al.  ESaaSA 2015 - Proceedings of the International Workshop on Emerging Software as a Service and Analytics, Lisbon, Portugal, May 20-22, 2015 , 2015 .

[48]  Lorenzo Moneta,et al.  ROOT - A C++ framework for petabyte data storage, statistical analysis and visualization , 2009, Comput. Phys. Commun..

[49]  Sharath Chandra Guntuku,et al.  Big Data Analytics framework for Peer-to-Peer Botnet detection using Random Forests , 2014, Inf. Sci..

[50]  Jian Tang,et al.  Sensing as a Service: Challenges, Solutions and Future Directions , 2013, IEEE Sensors Journal.

[51]  G. Nolan,et al.  Cloud and heterogeneous computing solutions exist today for the emerging big data problems in biology , 2011, Nature Reviews Genetics.

[52]  Daniel E. O'Leary,et al.  Artificial Intelligence and Big Data , 2013, IEEE Intelligent Systems.

[53]  Dave Evans,et al.  How the Next Evolution of the Internet Is Changing Everything , 2011 .

[54]  Muhammad Waseem,et al.  A Critical Analysis on the Security Concerns of Internet of Things (IoT) , 2015 .

[55]  Victor I. Chang,et al.  A model to compare cloud and non-cloud storage of Big Data , 2016, Future Gener. Comput. Syst..

[56]  Alfons Kemper,et al.  Database as a Service , 2011, Datenbank-Spektrum.

[57]  Shaun Hipgrave.  Smarter fraud investigations with big data analytics , 2013, Netw. Secur..

[58]  Maurizio Talamo,et al.  On the Move to Meaningful Internet Systems: OTM 2008 , 2008, Lecture Notes in Computer Science.

[59]  Felix Wortmann,et al.  Internet of Things , 2015, Business & Information Systems Engineering.

[60]  Ruy J. G. B. de Queiroz,et al.  Forensics as a Service , 2013 .

[61]  Victor I. Chang,et al.  The Business Intelligence as a Service in the Cloud , 2014, Future Gener. Comput. Syst..

[62]  Holmes E. Miller,et al.  Big-data in cloud computing: a taxonomy of risks , 2013, Inf. Res..

[63]  Arkady B. Zaslavsky,et al.  Sensing as a Service and Big Data , 2013, ArXiv.

[64]  Maurizio Tomasella,et al.  Vision and Challenges for Realising the Internet of Things , 2010 .

[65]  Antonio Puliafito,et al.  Sensing and Actuation as a Service: A New Development for Clouds , 2012, 2012 IEEE 11th International Symposium on Network Computing and Applications.

[66]  Martin Hilbert,et al.  The World’s Technological Capacity to Store, Communicate, and Compute Information , 2011, Science.

[67]  John Elder,et al.  Handbook of Statistical Analysis and Data Mining Applications , 2009 .

[68]  Sanjay Madria,et al.  Sensor Cloud: A Cloud of Virtual Sensors , 2014, IEEE Software.