Sakshi Kaushal

Work place: University Institute of Engineering and Technology, Panjab University, Chandigarh, India



Research Interests: Computer systems and computational processes, Computer Architecture and Organization, Computer Networks, Data Structures and Algorithms


Sakshi Kaushal is currently an Associate Professor at Department of Computer Science and Engineering in UIET, Panjab University, Chandigarh, India. She received her PhD in Computer Science and Engineering from Thapar University, Patiala, India in 2009. Her research interests include computer networks and cloud computing. She has published various papers in the field of mobility in wireless networks, analysis and implementation of mechanisms to optimise network performance in high speed networks and cloud environment.

Author Articles
Cost Minimized PSO based Workflow Scheduling Plan for Cloud Computing

By Amandeep Verma Sakshi Kaushal

DOI:, Pub. Date: 8 Jul. 2015

Cloud computing is a collection of heterogeneous virtualized resources that can be accessed on-demand to service applications. Scheduling large and complex workflows becomes a challenging issue in cloud computing with a requirement that the execution time as well as cost incurred by using a set of heterogeneous cloud resources should be minimizes simultaneously. In this paper, we have extended our previously proposed Bi-Criteria Priority based Particle Swarm Optimization (BPSO) algorithm to schedule workflow tasks over the available cloud resources under given the deadline and budget constraints while considering the confirmed reservation of the resources. The extended heuristic is simulated and comparison is done with state-of-art algorithms. The simulation results show that extended BPSO algorithm also decreases the execution cost of schedule as compared to state-of-art algorithms under the same deadline and budget constraint while considering the exiting load of the resources too.

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