The Design of a Service-Level Architecture for Handling Big Data Using Mobile Cloud Computing and the Internet of Things -AOS


Authors : Muhire Eraston; Dr. Bugingo Emmanuel

Volume/Issue : Volume 10 - 2025, Issue 3 - March

Google Scholar : https://tinyurl.com/3k4azsxu

Scribd : https://tinyurl.com/29ypdzxd

DOI : https://doi.org/10.38124/ijisrt/25mar983

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Abstract : The rapid and continuous expansion of interconnected devices equipped with sensors and actuators, utilizing diverse technologies, has led to an exponential increase in data generation. Effectively storing and processing this vast amount of data necessitates advanced computational resources, which can be provided by mobile cloud computing systems. The evolution of the Internet of Things (IoT) has facilitated machine-to-machine communication, allowing extensive data collection and prolonged storage for processing using robust cloud-based applications and big data analytics. However, there is currently no established method for managing the enormous volume of data generated by IoT devices in a way that enables seamless communication in both real-time and non-real-time contexts. This results in challenges related to heterogeneity and interoperability. Addressing this issue requires the development of a reference architecture that integrates big data, mobile cloud computing, and IoT, fostering device interoperability and heterogeneity. The proposed service-level architecture aims to unify these technologies, demonstrating their interaction and facilitating scalability, integration, and interoperability across various services. Ultimately, this architecture will provide an innovative approach to handling big data within mobile cloud computing and IoT environments, ensuring seamless communication among devices from different manufacturers.

References :

  1. (n.d.), S. (2020). biggest-cloud-security-concerns. Retrieved from www.statista.com: https://www.statista.com/statistics/1172265/biggest-cloud-security-concerns-in-2020
  2. AEPONA. (2010). Mobile Cloud Computing Solution Brief. white paper.
  3. Al Amin, M. &. (2020). The Examination System in Bangladesh and Its Impact. Creative Education, Language Testing in Asia, 8, 4.
  4. Amazon. (2015). Cloud Provider.
  5. Analytics, I. B. (2016, May 10). 356. Retrieved from www-01.ibm.com: http://www-01.ibm.com/software/data/infosphere/bigdataanalytics.html
  6. (2013). Big Data & Analytics Reference Architecture. september: Oracle white paper.
  7. Cavelty, M. D. (2002). Study of the information revolution and a changing operating environment. Wenger, Andreas: Forschungsstelle für Sicherheitspolitik und Konfliktanalyse, ETH Zürich.
  8. Creswell, J. W. (2018). Qualitative, Quantitative, and Mixed Methods Approaches. Sage Publications, 5th ed.
  9. D.A Reed, D. G. (2012). Imagining the Future: Thoughts on Computing. Computer, vol. 45, no. 1, pp. 25-30.
  10. Daniel, P. a. (2017). Reference Architecture and Classification of Technologies. stanford article publisher.
  11. Darton, J. (2011). NIST cloud computing Reference Architecture. NIST Special Publication, 500-292.
  12. Doe, S. &. (2017). Several Architectures and Frameworks.
  13. Federal. (2021, September 19). Cloud Computing Strategy. Retrieved from cio.gov: https://www.cio.gov/documents/Federal-Cloud-ComputingStrategy.pdf
  14. Forum. (2016, March 26). mobile cloud computing available. Retrieved from mobilecloudcomputingforum: http://www.mobilecloudcomputingforum.com/
  15. G., B. A. (2016). ELEMENTARY STATISTICS. Community College of Allegheny County, 14.
  16. Grove, B. a. (2003). Research design. Unisa Institutional Repository, Parahoo 1997:142.
  17. Hayles, W. (2016, March 16). why big data and internet of things are perfect. Retrieved from datamation.com: http://www.datamation.com/applications/why-big-data-and-the-internetof-things-are-a-perfect-match.html
  18. Heale, R. a. (2015). Reliability in Quantitative Studies. Retrieved from ebn.bmj.com: https://ebn.bmj.com/content/ebnurs/18/3/66.full.pdf
  19. JA, N. P. (2018). The interview reports from members of BoM. Greener Journal of Educational Research.
  20. Laney, D. (2012, January). Application Delivery Strategie. Retrieved from blogs. gartner. Com: http: // blogs. gartner. Com / douglaney /files /2012/01/ ad949-3D Data-Management-Controlling-Data-Volume-Velocity-andVariety.pdf
  21. Manz, E. &. (2017). Exploratory Study. In T. W. Edgar, Research Methods for Cyber Security (pp. 95-130). vancouver: 10.1016/B978-0-12-805349-2.00004-2.
  22. Mell, P. a. (2019). Energy Aware Processor Architecture for Effective Scheduling and Power Management in Cloud Using Inclusive Power-Cognizant Processor Controller. Ibtissam Sabbah: National Institute of Standards and Technology Special Publication. MINICT. (2017).
  23. NIST cloud computing Reference Architecture. (2011). NIST Special Publication 500-292.
  24. NIST. (n.d.). NIST Cloud Computing Synopsis and Recommendation. Retrieved from csrc.nist.gov: http://csrc.nist.gov/publications/drafts/800-146/Draft-NIST-SP800-146.pdf
  25. (2021). Open Data Center Alliance. Information as a Service Rev. 1.0.
  26. Punch, K. F. (2013). Introduction to Social Research. Sage Publications, 3rd ed.
  27. R, K. C. (2004). Research Methodology, 2nd Ed. New Delhi: New Age. New Delhi: New Age Publisher.
  28. Rajaan, T. &. (2020). The use of the cloud increased dramatically. OpenStack Foundation.
  29. RDB. (2022). data hosting facility for private and public sector entities.
  30. SEKARAN, U. (2009). A Skill-Building Approach. Research Methods for Business, 329.
  31. Sqrrl‟s Take on the Big Data Ecosystem. (2016, April 15). Retrieved from sqrrl.com: https://sqrrl.com/sqrrls-take-on-the-bigdata-ecosystem/
  32. The Open Group, r. a. (2016, March 23). www.opengroup.org/content. Retrieved from opengroup: http://www.opengroup.org/content/reference-architecture-big-data- ecosystem
  33. Turner, S. E. (2021). Strategies for Enhancing Small-Business Owners’ Success Rates. International Journal of Applied Management and Technology, Vol.9 No.4.
  34. Vaus, D. A. (2001). Research Design in Social Research. SAGE Publications. (2015). World Economic Forum. Global Index.

The rapid and continuous expansion of interconnected devices equipped with sensors and actuators, utilizing diverse technologies, has led to an exponential increase in data generation. Effectively storing and processing this vast amount of data necessitates advanced computational resources, which can be provided by mobile cloud computing systems. The evolution of the Internet of Things (IoT) has facilitated machine-to-machine communication, allowing extensive data collection and prolonged storage for processing using robust cloud-based applications and big data analytics. However, there is currently no established method for managing the enormous volume of data generated by IoT devices in a way that enables seamless communication in both real-time and non-real-time contexts. This results in challenges related to heterogeneity and interoperability. Addressing this issue requires the development of a reference architecture that integrates big data, mobile cloud computing, and IoT, fostering device interoperability and heterogeneity. The proposed service-level architecture aims to unify these technologies, demonstrating their interaction and facilitating scalability, integration, and interoperability across various services. Ultimately, this architecture will provide an innovative approach to handling big data within mobile cloud computing and IoT environments, ensuring seamless communication among devices from different manufacturers.

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