效用计算中以应用为中心的自主BW控制

K. Kant
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引用次数: 2

摘要

在效用计算环境中,QoS和拥塞性能对良好的应用程序性能至关重要。不幸的是,正确的IP QoS设置非常复杂,要么被完全忽略,要么设置得相当简单。众所周知,如果没有精心设计的端到端QoS设置,TCP连接在拥塞情况下只是在它们之间平均分配可用的多余带宽。在本文中,我们提出了一种自治机制,可以确定应用程序的各种流的BW需求,并在拥塞期间保持适当的比例。评估是动态完成的,因此可以很容易地跟踪不断变化的应用程序需求。研究表明,该方案不仅能获得接近预期的带宽分配,而且能显著降低丢包率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application centric autonomic BW control in utility computing
QoS and congestion performance are crucial to good application performance in a utility computing environment. Unfortunately, proper IP QoS setup is very complex and is either ignored completely or set rather simplistically. It is well known that without an elaborate end to end QoS setup, TCP connections simply divide up the available excess bandwidth equally among themselves under congestion. In this paper we propose autonomic mechanisms that determine BW requirements of various flows of an application and maintain them in appropriate proportion even during congestion. The estimations are done dynamically and thus can easily track changing application requirements. The paper shows that the scheme not only yields close to desired bandwidth allocation, but also significantly reduces packet losses.
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