Abstract
A classic information processing has been replaced by cloud computing in more studies where cloud computing becomes more popular and growing than other computing models. Cloud computing works for providing on-demand services for users. Reliability and energy consumption are two hot challenges and tradeoffs problem in the cloud computing environment that requires accurate attention and research. This paper proposes an Auto Resource Management (ARM) scheme to enhance reliability by reducing the Service Level Agreement (SLA) violation and reduce energy consumed by cloud computing servers. In this context, the ARM consists of three compounds, they are static/dynamic threshold, virtual machine selection policy, and short prediction resource utilization method. The Minimum Utilization Non-Negative (MUN) virtual machine selection policy and Rate of Change (RoC) dynamic threshold present in this paper. Also, a method of choosing a value as the static threshold is proposed. To improve ARM performance, the paper proposes a Short Prediction Resource Utilization (SPRU) that aims to improve the process of decision making by including the resources utilization of future time and the current time. The output results show that SPRU enhanced the decision-making process for managing cloud computing resources and reduced energy consumption and the SLA violation. The proposed scheme tested under real workload data over the Cloud Sim simulator.
Highlights
An emerged innovative paradigm for delivering applications, platforms, and computing resources is named cloud computing
The auto resource management (ARM)-Short Prediction Resource Utilization (SPRU) will be discussed in the same manner of previous experiments to show the effect of the performance as SPRU on our proposed auto resources management
The second class will be evaluated under energy consumption, the number of Virtual Machines (VMs) migration, average Service Level Agreement (SLA) volition, and a number of the active host during simulation lifetime
Summary
An emerged innovative paradigm for delivering applications, platforms, and computing resources (processing power/bandwidth/storage) is named cloud computing. This new paradigm uses a PayAs-You- Go (PAYG) model to the delivery application to customers [1]. Clouds are presented as a platform for various types of applications with various Quality of Service (QoS) features, like performance, availability, and reliability. A Service Level Agreement (SLA) is a contract between cloud providers and customers that have the previous features. The failure to comply with QoS features can reduce the reliability of applications and incur SLA violations, resulting in fines to the cloud provider [2]
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