A Robust IOT-Cloud IaaS for Data Availability within Minimum Latency

Sarra Hammoudi, Saad Harous and Zibouda Aliouat
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Sarra Hammoudi: Ferhat Abbas University, Computer Science Department, Laboratory LRSD, Sétif, Algeria
Saad Harous: College of Information Technology, United Arab Emirates University, Al Ain, UAE
Zibouda Aliouat: Laboratory LRSD, University of Ferhat Abbas, Algeria

International Journal of Strategic Information Technology and Applications (IJSITA), 2019, vol. 10, issue 4, 16-32

Abstract: Sensors in Internet of Things generate a huge amount of data. The massive volume of the captured data is stored on cloud servers. Over time, the unbalanced load servers prevent better resource utilization. It also increases the input and the output response time. Hence, applying load balancing techniques is very important to achieve efficient system performance. Ensuring the critical data availability in such dynamic systems is very essential. In this article, the authors propose ROBUST for ensuring data availability mechanism and a fault-tolerance architecture. ROBUST also realises load balancing among servers within minimum latency, by avoiding the problem of the overloaded sites and unbalanced use of the resources on the servers. Comparing the response time using the ROBUST and Load Balancing in the Cloud Using Specialization (LBCS), ROBUST architecture has given satisfactory results in terms of critical data latency. Compared with LBCS, ROBUST gains 42% critical data recovery from a primary server and 45% when searching for duplicated critical data. The authors implemented the system using the JADE platform.

Date: 2019
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