Recent advances delivered by Mobile Cloud Computing and Internet of Things for Big Data applications: a survey
Christos Stergiou
Department of Applied Informatics, School of Information Sciences, University of Macedonia, Thessaloniki, Greece
Search for more papers by this authorCorresponding Author
Kostas E. Psannis
Department of Applied Informatics, School of Information Sciences, University of Macedonia, Thessaloniki, Greece
Correspondence to: Kostas E. Psannis, Department of Applied Informatics, School of Information Sciences, University of Macedonia, Thessaloniki, Greece.
E-mail: [email protected]
Search for more papers by this authorChristos Stergiou
Department of Applied Informatics, School of Information Sciences, University of Macedonia, Thessaloniki, Greece
Search for more papers by this authorCorresponding Author
Kostas E. Psannis
Department of Applied Informatics, School of Information Sciences, University of Macedonia, Thessaloniki, Greece
Correspondence to: Kostas E. Psannis, Department of Applied Informatics, School of Information Sciences, University of Macedonia, Thessaloniki, Greece.
E-mail: [email protected]
Search for more papers by this authorSummary
The Internet of Things (IoT) is a new technology that is growing rapidly in the field of telecommunications and especially in the modern field of wireless telecommunications. The main goal of the interaction and cooperation between things and objects sent through the wireless networks is to fulfill the objective set to them as a combined entity. In addition, based on the technology of wireless networks, both the technologies of Mobile Cloud Computing (MCC) and IoT develop rapidly. In this paper, we combine the two aforementioned technologies (i.e., MCC and IoT) with the technology of the Big Data in order to examine the common features and tο discover which of the MCC and IoT benefits improve the use of the Big Data applications. Finally, we present the contribution of MCC and IoT individually to the technology of Big Data. Copyright © 2016 John Wiley & Sons, Ltd.
References
- 1 D Giusto, A Iera, G Morabito, L Atzori (eds.). The Internet of Things. Springer: London, 2010. ISBN:978-1-4419-1673-0.
- 2Swan M. Sensor mania! The Internet of Things, wearable computing, objective metrics, and the quantified self 2.0. Journal of Sensor and Actuator Networks 2012; 1(3): 217–253. DOI:10.3390/jsan1030217.
10.3390/jsan1030217 Google Scholar
- 3Mongay Batalla J, Krawiec P. Conception of ID layer performance at the network level for Internet of Things. Journal Personal and Ubiquitous Computing (Springer) 2014; 18(2): 465–480.
- 4Y Kryftis, G Mastorakis, C Mavromoustakis, J Mongay Batalla, E Pallis and G Kormentzas. Efficient entertainment services provision over a novel network architecture. To be published in IEEE Wireless Communications Magazine, 2016.
- 5Hilbert M, López P. The world's technological capacity to store, communicate, and compute information. Science 2011; 332(6025): 60–65. DOI:10.1126/science.1200970.
- 6 The NIST definition of cloud computing, National Institute of Standards and Technology, Retrieved 24 July 2015.
- 7Huang D. Mobile Cloud Computing. IEEE COMSOC Multimedia Communications Technical Committee (MMTC) E-Letter 2011; 6(10): 27–31.
- 8Cloud data storage services. IEEE Network 2010; 24(4): 19–24.
- 9Sakr S, Liu A, Batista DM, Alomari M. A survey of large scale data management approaches in cloud environments. IEEE Communications Surveys & Tutorials 2011; 13(3): 311–336.
- 10Bahl P, Han YR, Erran LL, Satyanarayanan M, Advancing the state of Mobile Cloud Computing, ResearchGate, January 2012, Microsoft Research, University of Colorado at Boulder, Bell Labs, CMU, USA.
- 11Bahl P, Han YR, Li LE, Satyanarayanan M, Advancing the state of Mobile Cloud Computing, MCS'12, 25-06-2012, Low Wood Bay, Lake District, UK, Microsoft Research, University of Colorado at Boulder, Bell Labs, CMU, USA.
- 12Buyya R, Shin Yeo C, Venugopal S, Broberg J, Brandic I. Cloud computing and emerging IT platforms: vision, hype, and reality for delivering computing as the 5th utility, Future Generation Computer Systems, 25, 2009, p.599-616, Grid Computing and Distributed Systems (GRIDS) Laboratory, Department of Computer Science and Software Engineering, The University of Melbourne, Manjrasoft Pty Ltd, Melbourne, Australia, Institute of Information Systems, Vienna University of Technology, Argentinierstraÿe 8, 1040 Vienna, Austria.
- 13Prajapat B, Shrivastava M. Mobile Cloud Computing through J2ME application: cloud enabled web services, International Journal of Advanced Computer Research Volume-2 Number-4 Issue-6 December-2012, Department of Information Technology, Laxmi Narain College of Technology, Bhopal, India.
- 14D Sohini, D Suddhasil. Uncoupling in Services of Mobile Cloud Computing using tuple space model: design and formal specifications, MobileCloud'13, 29-07-2013, Department of Computer Applications, Siliguri Institute of Technology, West Begnal, Department of Computer Science and Engg., Indian Institute of Technology Guwahati, Assam, India.
- 15Abolfazli S, Sanaei Z, Ahmed E, Gani A, Buyya R. Cloud-based augmentation for mobile devices: motivation, taxonomies, and open challenges, IEEE COMMUNICATIONS SURVEYS & TUTORIALS, June 2013, University of Malaya.
- 16Shiraz M, Ahmed E, Gani A, Han Q. Investigation on runtime partitioning of elastic mobile applications for Mobile Cloud Computing, J. Supercomput, 2014, 67, p.84-103, Mobile Cloud Computing Research Lab, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia.
- 17Ananthanarayanan G, Menache I. Big Data Analytics Systems. Microsoft Research: Redmond WA, USA.
- 18Mishra N, Lin C-C, Chang H-T. A cognitive adopted framework for IoT Big-data management and knowledge discovery prospective, Department of Computer Science and Information Engineering, Chang Gung University, 259Wen-Hwa 1st Road, Kwei-Shan, Tao-Yuan 333, Taiwan, 2014.
- 19Niggemann O, Kinnebrew JS, Khorasgani H, Volgmann S, Bunte A, Biswas G. Data-driven monitoring of cyber–physical systems leveraging on Big Data and the Internet-of-Things for diagnosis and control, Vanderbilt University and Institute for Software Integrated Systems, Nashville, TN, USA, Fraunhofer Application Center Industrial Automation, Institute Industrial IT, Lemgo, Germany, 2015.
- 20Minch RP. Location privacy in the Era of the Internet of Things and Big Data analytics, 48th Hawaii International Conference on System Sciences, 2015, Boise State University.
- 21Strohbach M, Ziekow H, Gazis V, Akiva N. Towards a Big Data Analytics Framework for IoT and Smart City Applications. AGT International: Darmstadt, Germany, 2015.
10.1007/978-3-319-09177-8_11 Google Scholar
- 22Suciu G, Suciu V, Martian A, Craciunescu R, Vulpe A, Marcu I, Halunga S, Fratu O. Big Data, Internet of Things and Cloud convergence – an architecture for secure e-health applications, Patient Facing Systems, 2015, DOI 10.107, Journal of Medical Systems 39:141, Polytechnic University of Bucharest.
- 23 Internet of Things global standards initiative. ITU. Retrieved 26 June 2015.
- 24Höller J, Tsiatsis V, Mulligan C, Karnouskos S, Avesand S, Boyle D. From Machine-to-machine to the Internet of Things: Introduction to a New Age of Intelligence. Elsevier: Oxford, 2014. ISBN:978-0-12-407684-6.
- 25Mongay Batalla J. Advanced multimedia service provisioning based on efficient interoperability of adaptive streaming protocol and high efficient video coding. Journal of Real-Time Image Processing-Springer 2015. DOI:10.1007/s11554-015-0496-4link.
10.1007/s11554-015-0496-4link Google Scholar
- 26P Viswanathan. Mobile devices expert, cloud computing – Is it really all that beneficial?, Advantages and Disadvantages of cloud computing, [Online], retrieved: 24/01/2015, Available: http://mobiledevices.about.com/od/additionalresources/a/Cloud-Computing-Is-It-Really-All-That-Beneficial.htm
- 27E Almort & S Andersson. A study of the advantages & disadvantages of Mobile Cloud Computing versus native environment, School of Computing, Blekinge Institute of Technology, Sweden, May 2013.
- 28 Blog: follow what's happening at Get Cloud Services, Mobile Cloud Computing – Pros and Cons, [Online], Posted: 23/12/2014, retrieved: 24/01/2015, Available: https://www.getcloudservices.com/blog/mobile-cloud-computing-pros-and-cons
- 29P Murray. Enterprise grade cloud computing, in Proc. Third Workshop on Dependable Distributed Data Management. ACM, 2009, pp. 1–1.
- 30 Council of July 2002: Directive 2002/58/ec concerning the processing of personal data and the protection of privacy in the electronic communications sector. European Parliament. Accessed November 20th, 2011. [Online]. Available: http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=CELEX:32002L0058:EN:NOT
- 31L Youseff, M Butrico, and D Da Silva. Toward a unified ontology of cloud computing, in Grid Computing Environments Workshop, 2008. GCE'08. IEEE, 2008, pp. 1–10.
- 32E Shi, Y Niu, M Jakobsson, and R Chow, Implicit authentication through learning user behavior, in Information Security. Springer, 2011, pp. 99–113.
- 33 Data, data everywhere. The Economist. 25 February 2010. Retrieved 26 September 2015.
- 34Hilbert M, López P. The World's technological capacity to store, communicate, and compute information. Science 2011; 332(6025): 60–65. DOI:10.1126/science.1200970.PMID21310967.
- 35L Borovick & RL Villars. The critical role of the network in Big Data applications IDC Analyze th Future, pp. 1-12, 1 4 2012.
- 36Haque MN, Chowdhury MRK, Gani A, Whaiduzzaman M. A study on strategic provision of cloud computing services. The Scientific World Journal 2014; 15(6): 1–8.
- 37Garg SK, Versteeg S, Buyya R. A framework for ranking of cloud computing services. Future Generation Computer Systems 2013; 29(4): 1012–1023.