Title: Cloud service quality: a research roadmap

Authors: Xianrong Zheng

Addresses: Information Technology and Decision Sciences Department, Old Dominion University, Norfolk, VA 23529, USA; Department of Statistics and Finance, University of Science and Technology of China, Hefei, Anhui, 230026, China

Abstract: As cloud services become increasingly popular, cloud providers compete to offer the same or similar services over the internet. Quality of Service (QoS), which describes how well a cloud service is performed, will be more important. QoS refers to nonfunctional properties of cloud services, and is an important differentiator among functionally equivalent cloud services. As a result, how to evaluate and assure QoS becomes important in both IT and business disciplines. This paper argues for QoS evaluation and assurance in cloud services. It reviews the state-of-the-art, reports our latest work, and discusses future research directions and challenges on the two topics. The paper proposes a new benchmark suite for measuring cloud services and a new economic method for allocating cloud resources. The benchmark suite can provide comparable QoS data for cloud services. The economic method can meet users' QoS needs while minimising resources consumed for cloud services.

Keywords: cloud computing; QoS; cloud benchmark; resource allocation.

DOI: 10.1504/IJDS.2023.131428

International Journal of Data Science, 2023 Vol.8 No.2, pp.124 - 137

Received: 17 Feb 2022
Accepted: 20 Oct 2022
Published online: 12 Jun 2023 *

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