Title: Dynamic changes of QoS parameters in cloud computing service level agreement

Authors: Abdel-Rahman Al-Ghuwairi; Mohammad Khalaf; Zaher Salah; Ayoub Alsarhan

Addresses: Prince Al Hussein Bin Abdullah II for Information Technology, Hashemite University, P.O. Box 150459, Zarqa 13115, Jordan ' Prince Al Hussein Bin Abdullah II for Information Technology, Hashemite University, P.O. Box 150459, Zarqa 13115, Jordan ' Prince Al Hussein Bin Abdullah II for Information Technology, Hashemite University, P.O. Box 150459, Zarqa 13115, Jordan ' Prince Al Hussein Bin Abdullah II for Information Technology, Hashemite University, P.O. Box 150459, Zarqa 13115, Jordan

Abstract: Service level agreement (SLA) in cloud computing can be defined as a contractual agreement signed between cloud user and cloud provider in order to manage the quality of service (QoS) parameters which are the fundamental part of SLAs. The current dynamic SLA monitoring approaches have considered the cloud provider's perspective only. To take into consideration the user's perspective; this research proposes a dynamic SLA monitoring approach by generating new SLA terms based on analysing the SLA penalties. A new proposed trade-off mechanism is applied between monthly cost and QoS guarantee values. Thus; we propose a dynamic model for updating QoS parameters of SLA in cloud environment. Java language is used with a QoS measurement dataset to experiment the proposed approach. The current Static SLA (SSLA) approaches are compared with the proposed Dynamic SLA (DSLA) approach. The results of this experimental study show that the number of SLA violations in DSLA are less than the number of SLA violations in SSLA.

Keywords: cloud computing; quality of service; QoS; service level agreement; SLA; static service level agreement; SSLA; dynamic service level agreement; DSLA.

DOI: 10.1504/IJBIS.2019.10024359

International Journal of Business Information Systems, 2019 Vol.32 No.1, pp.73 - 90

Received: 21 Apr 2017
Accepted: 19 Nov 2017

Published online: 02 Oct 2019 *

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