Journal of Theoretical & Computational Science
Open Access

Department of Information Technology, University of Noorul Islam Centre for Higher Education, Kanyakumari, Tamilnadu, India

Publications

• Research   
  A Multi-Objective Clustered Input Oriented Salp Swarm Algorithm in Cloud Computing
  Author(s): Juliet A Murali* and Brindha T
  
  The Infrastructure as a Service (IaaS) cloud computing service model facilitates on-demand sharing of computing resources over the internet. The scheduling of these resources is the main dispute that has to be handled. Recently, different swarm-based algorithms have been implemented for scheduling. The main intention of the cloud scheduling problem is to satisfy user requirements by allocating resources. This paper proposed a two-phase task scheduling algorithm named Clustered Input Oriented Salp Swarm Algorithm (CIOSSA). In the first phase, named Task Splitting Agglomerative Clustering (TSAC), the tasks are categorized based on the deadline and the output generated by TSAC becomes the input to the next phase. The Input Oriented Salp Swarm Algorithm (IOSSA) is used for the scheduling process. It is a multi-objective version of the fundamental Salp Swarm Algorithm (SSA) which experienc.. View More»
  

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