云计算性能优化中的延迟减少方法综述

Sonam Srivastava, S. Singh
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引用次数: 11

摘要

云计算是一种按需提供资源的新范例。云假设的地位不断提高和联邦云计算概念的兴起,激发了对智能云服务选择的研究。随着云计算技术的发展,越来越多的企业开始使用云计算环境。近年来,云在不同的组织中获得了推动力,因此云性能评估和适当的分析至关重要,可以帮助用户做出正确的决策。云中的某些关键性能因素包括延迟、带宽、恢复、可用性、可伸缩性、安全性和存储。云中的延迟是由于网络拥塞造成的延迟。如果应用程序花费较长时间等待来自数据中心的响应,则由于缺乏适当的带宽利用,性能将受到影响。因此,在本文中,我们提出了对其他主要云性能因素的看法,并讨论了云性能对这些因素的依赖性。我们还讨论了在云计算中减少性能优化延迟的不同方法。
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A Survey on Latency Reduction Approaches for Performance Optimization in Cloud Computing
Cloud computing is a novel paradigm where resources are provisioned on demand. The ever-increasing status of cloud hypothesis and the budding concept of federated cloud computing have enthused research efforts towards intellectual cloud service selection. Due to the improving status of cloud computing there are a deluge of enterprises that are using cloud environment. In the recent years cloud has acquired impetus in different organizations, therefore cloud performance evaluation and its proper analysis is of utmost importance and can help users make right decisions. Certain key performance factors in cloud include latency, bandwidth, recovery, availability, scalability, security and storage. Latency occurs in cloud due to delay in network because of congestion. If an application takes a larger amount of time to wait for a response from a data centre, performance will suffer due lack of proper bandwidth utilization. Thus, in this paper we present a view on the other major cloud performance factors and also discuss the dependency of cloud performance on these factors. We also discuss different approaches for reducing latency for performance optimization in cloud computing.
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