Time and cost efficient cloud resource allocation for real-time data-intensive smart systems

Qureshi, Muhammad Shuaib and Qureshi, Muhammad Bilal and Fayaz, Muhammad and Zakarya, Muhammad and Aslam, Sheraz and Shah, Asadullah (2020) Time and cost efficient cloud resource allocation for real-time data-intensive smart systems. Energies, 13 (5706). pp. 1-25. ISSN 1996-1073

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Abstract

Cloud computing is the de facto platform for deploying resource- and data-intensive real-time applications due to the collaboration of large scale resources operating in cross-administrative domains. For example, real-time systems are generated by smart devices (e.g., sensors in smart homes that monitor surroundings in real-time, security cameras that produce video streams in real-time, cloud gaming, social media streams, etc.). Such low-end devices form a microgrid which has low computational and storage capacity and hence offload data unto the cloud for processing. Cloud computing still lacks mature time-oriented scheduling and resource allocation strategies which thoroughly deliberate stringent QoS. Traditional approaches are sufficient only when applications have real-time and data constraints, and cloud storage resources are located with computational resources where the data are locally available for task execution. Such approaches mainly focus on resource provision and latency, and are prone to missing deadlines during tasks execution due to the urgency of the tasks and limited user budget constraints. The timing and data requirements exacerbate the efficient task scheduling and resource allocation problems. To cope with the aforementioned gaps, we propose a time- and cost-efficient resource allocation strategy for smart systems that periodically offload computational and data-intensive load to the cloud. The proposed strategy minimizes the data files transfer overhead to computing resources by selecting appropriate pairs of computing and storage resources. The celebrated results show the effectiveness of the proposed technique in terms of resource selection and tasks processing within time and budget constraints when compared with the other counterparts.

Item Type:	Article (Journal)
Additional Information:	6566/84214
Uncontrolled Keywords:	data-intensive smart application; cloud computing; resource allocation; real-time systems; smart grid
Subjects:	T Technology > T Technology (General) > T10.5 Communication of technical information
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Prof Asadullah Shah
Date Deposited:	04 Nov 2020 09:15
Last Modified:	04 Nov 2020 09:15
URI:	http://irep.iium.edu.my/id/eprint/84214

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