Dynamic Resource Allocation Method for Load Balance Scheduling Over Cloud Data Center Networks


  • Sakshi Chhabra National Institute of Technology Kurukshetra Haryana, India https://orcid.org/0000-0002-2447-1611
  • Ashutosh Kumar Singh National Institute of Technology Kurukshetra Haryana, India




Cloud Computing, Resource configuration, Dynamic Allocation, Optimization.


The cloud datacenter has numerous hosts as well as application requests where resources are dynamic. The demands placed on the resource allocation are diverse. These factors could lead to load imbalances, which affect scheduling efficiency and resource utilization. A scheduling method called Dynamic Resource Allocation for Load Balancing (DRALB) is proposed. The proposed solution constitutes two steps: First, the load manager analyzes the resource requirements such as CPU, Memory, Energy and Bandwidth usage and allocates an appropriate number of VMs for each application. Second, the resource information is collected and updated where resources are sorted into four queues according to the loads of resources i.e. CPU intensive, Memory intensive, Energy intensive and Bandwidth intensive. We demonstarate that SLA-aware scheduling not only facilitates the cloud consumers by resources availability and improves throughput, response time etc. but also maximizes the cloud profits with less resource utilization and SLA (Service Level Agreement) violation penalties. This method is based on diversity of client’s applications and searching the optimal resources for the particular deployment. Experiments were carried out based on following parameters i.e. average response time; resource utilization, SLA violation rate and load balancing. The experimental results demonstrate that this method can reduce the wastage of resources and reduces the traffic upto 44.89% and 58.49% in the network.


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Author Biographies

Sakshi Chhabra, National Institute of Technology Kurukshetra Haryana, India

Sakshi Chhabra. She received the BCA degree in Computer Applications from the Punjab University, Chandigarh in 2012, and the MCA degree in Computer Applications in 2015 (INDIA). She just completed her Ph.D degree in 2020 from National Institute of Technology, Kurukshetra in Department of Computer Applications. Currently, she is working as an Assistant Professor in the above institute. Her main research interests include Cloud Computing, Load Balancing and Information Security. She has published the research papers in SCI, Scopus journals and International Conferences.

Ashutosh Kumar Singh, National Institute of Technology Kurukshetra Haryana, India

Ashutosh Kumar Singh. He is working as a Professor in National Institute of Technology, Kurukshetra, India. He has more than 15 years research and teaching experience in various Universities of India, UK, and Malaysia. Prior to this appointment, he has worked as an Associate Professor and Head of Department Electrical and Computer Engineering in School of Engineering Curtin University Australia offshore Campus Malaysia, Sr. Lecturer and Deputy Dean (Research and Graduate Studies) in Faculty of Information Technology, University Tun Abdul Razak Kuala Lumpur Malaysia, Post Doc RA in the Department of Computer Science, University of Bristol, Faculty of Information Science and Technology, Multimedia University Malaysia and Sr. Lecturer in Electronics and Communication Department at NIST, India. His research area includes Web Technology, Big Data, Verification, Synthesis, Design and Testing of Digital Circuits. He has published more than 300 research papers now in different journals, conferences and news magazines.


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