Applying queue theory formodeling of cloud computing: A systematic review

摘要

The cloud computing paradigm is an important service in the Internet for sharing and providingresources in a cost-efficient way. Modeling of a cloud system is not an easy task becauseof the complexity and large scale of such systems. Cloud reliability could be improved bymodeling the various aspects of cloud systems, including scheduling, service time, wait time,and hardware and software failures. The aim of this study is to survey research studies doneon the modeling of cloud computing using the queuing system in order to identify where moreemphasis should be placed in both current and future research directions. This paper followsthe goal by investigating the articles published between 2008 and January 2017 in journals andconferences. A systematic mapping study combined with a systematic literature review wasperformed to find the related literature, and 71 articles were selected as primary studies thatwere classified in relation to the focus, research type, and contribution type. We classified themodeling techniques of cloud computing using the queuing theory in seven categories basedon their focus area: (1) performance, (2) quality of service, (3) workflow scheduling, (4) energysavings, (5) resource management, (6) priority-based servicing, and (7) reliability. A majority ofthe primary articles focus on performance (37%), 15% of them focus on resource management,14% of them focus on quality of service, 13% of them focus on workflow scheduling, 13%of them focus on energy savings, 4% of them focus on priority-based servicing for requests,and 4% of them focus on reliability. This work summarizes and classifies the research effortsconducted on applying queue theory for modeling of cloud computing (AQTMCC), providing agood starting point for further research in this area.