Abstract
The resources in cloud environment have features such as large-scale, diversity, and heterogeneity. Moreover, the user requirements for cloud computing resources are commonly characterized by uncertainty and imprecision. Hereby, to improve the quality of cloud computing service, not merely should the traditional standards such as cost and bandwidth be satisfied, but also particular emphasis should be laid on some extended standards such as system friendliness. This paper proposes a dynamic resource scheduling method based on fuzzy control theory. Firstly, the resource requirements prediction model is established. Then the relationships between resource availability and the resource requirements are concluded. Afterwards fuzzy control theory is adopted to realize a friendly match between user needs and resources availability. Results show that this approach improves the resources scheduling efficiency and the quality of service (QoS) of cloud computing.
Highlights
Cloud computing is an Internet-based computing service mode which makes it possible to obtain the configurable shared resources on demand
User A weighs video animation playing against mathematics computing, while user B weighs mathematics computing against video animation playing
We present a dynamic resource scheduling method in data centre based on fuzzy control theory
Summary
Cloud computing is an Internet-based computing service mode which makes it possible to obtain the configurable shared resources (network server storage applications and services, etc.) on demand. Users are not skilled in submitting precise and proper CPU, bandwidth, or memory requirements, but they can have fuzzy requirements based on the task attitude How to satisfy these requirements gives expression to cloud computing friendliness, which means. Journal of Control Science and Engineering the ability to understand and satisfy various users’ imprecise requirements and enables system to understand users’ fuzzy demands It is an important standard of the QoS of cloud computing. The virtualization technology enables hardware resources including CPU, memory, and GPU to be shared by multiusers simultaneously This characteristic needs resource scheduling method to consider resource allocation overall. We present a dynamic resource scheduling method in data centre based on fuzzy control theory. We conclude the whole paper and list the future works
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