Cloud service quality: a research roadmap. (5th June 2023)

• Record Type: Journal Article
• Authors: Zheng, Xianrong
• Is Part Of: International journal of data science. Volume 8:Number 2(2023)
• Page Start: 124
• Page End: 137
• Publication Date: 2023-06-05
• Subjects: cloud computing -- QoS -- cloud benchmark -- resource allocation; Big data -- Periodicals; Data mining -- Periodicals; Information storage and retrieval systems -- Periodicals; Decision making -- Data processing -- Periodicals; 005.7
• Languages: English
• ISSNs: 2053-0811

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.