QoS Aware Social Spider Cloud Web Algorithm: Analysis of Resource Placement Approach

7 Pages Posted: 11 Oct 2019

See all articles by Preeti Abrol

Preeti Abrol

CDAC, Mohali; UIET

Savita Gupta

Panjab University

Sukhwinder Singh

Panjab University

Date Written: October 5, 2019

Abstract

Cloud resource management is a challenging job based on quality of service requirements. Due to the heterogeneous resources, this challenge is required to be addressed by the existing resource management policies. The resources must be arranged and scheduled as per QoS requirements in order to satisfy cloud client. So resource management policies must include QoS requirements before implementing to the resource placement. In this paper, a resource placement technique, QoS disabled social spider cloud web algorithm (SSCWA) is enhanced with QoS aware SSCWA which caters to place resources as per QoS. Finally, performance evaluation of proposed QoS aware SSCWA is done in CloudSim. Results prove that proposed algorithm outperforms in execution time, response time, throughput and execution cost as QoS parameters.

Keywords: Cloud Computing, Social Spider Cloud Web Algorithm (SSCWA), Resource placement, Quality of Service, Virtual machines

Suggested Citation

Abrol, Preeti and Gupta, Savita and Singh, Sukhwinder, QoS Aware Social Spider Cloud Web Algorithm: Analysis of Resource Placement Approach (October 5, 2019). Proceedings of International Conference on Advancements in Computing & Management (ICACM) 2019. Available at SSRN: https://ssrn.com/abstract=3464927 or http://dx.doi.org/10.2139/ssrn.3464927

Preeti Abrol (Contact Author)

CDAC, Mohali ( email )

Mohali

UIET ( email )

Sector 14
Chandigarh, Chandigarh
India

Savita Gupta

Panjab University ( email )

Sector 14
Sector 14
Chandigarh, 160014
India

Sukhwinder Singh

Panjab University ( email )

Sector 14
Sector 14
Chandigarh, 160014
India

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