Authors: M. Jeyakarthic; N. Subalakshmi
Addresses: Department of Computer and Information Science, Annamalai University, Annamalai Nagar, Tamil Nadu, India ' Computer Science and Engineering Wing, Directorate of Distance Education, Annamalai University, Annamalai Nagar, Tamil Nadu, India
Abstract: Many techniques of cloud computing are affected by surge load and time issues. This proposed method for virtual cloud planning utilise simple protocols in a single or multiple data centres. A new load balanced amortised multi-scheduling algorithm (LBAM) is proposed for assigning the task to cloud based on active load in the cloud environment. The proposed system calculates the multiple attribute weight for each workplace and introduces an application source that changes in application virtualisation environment. The system calculates the cloud data weight based upon the allocation of data and its consequence based on the processing efficiency of the cloud machine. This approach works effectively in most configurations, also virtual machines hold the ability to process load with high pace and efficient memory management. A detailed comparative analysis is made with the existing methods namely SLA, FPGGA and DJS algorithms. The obtained results indicated that the LBAM model is superior to compared methods under several aspects.
Keywords: cloud computing; cloud services; data centre; distributed system; parallel processing; load balancing; scheduling and virtual machine.
International Journal of Cloud Computing, 2023 Vol.12 No.2/3/4, pp.148 - 162
Received: 19 Mar 2020
Accepted: 03 May 2020
Published online: 14 May 2023 *