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4篇 您的检索式:作者名="Peter DINDA"
    题名 作者 年代 出处 被引量
1嵌入虚拟机监视器的高性能虚拟网络显示文摘由虚拟机和虚拟覆盖网相结合而构成的虚拟计算环境,在云计算和绿色计算中发挥非常重要的作用,然而,现有的虚拟计算环境在性能上难以满足高性能分布式计算的要求。设计和实现了一种高性能虚拟网络:VNET/P。基于网络第2层建立虚拟机互连模型,对一组虚拟机进行抽象,使其位于同一局域网中。与早期的用户层虚拟网络系统不同,VNET/P嵌入于可扩展、高性能的Palacios虚拟机监视器中。试验结果表明,VNET/P具有高带宽的特点,其性能接近于实际硬件的性能。唐源 夏磊 崔峥 John Lange Peter Dinda Patrick Bridges 李建平 2012仪器仪表学报2012,33,5:3
2DelayD roid: an instrumented approach to reducing tail-time energy of Android apps显示文摘Mobile devices with 3G/4G networking often waste energy in the so-called 'tail time' during which the radio is kept on even though no communication is occurring. Prior work has proposed policies to reduce this energy waste by batching network requests. However, this work is challenging to apply in practice due to a lack of mechanisms. In response, we have developed DelayD roid, a framework that allows a developer to add the needed policy to existing, unmodified Android applications(apps) with no human effort as well as no SDK/OS changes. This allows such prior work(as well as our own policies) to be readily deployed and evaluated. The DelayD roid compile-time uses static analysis and bytecode refactoring to identify method calls that send network requests and modify such calls to detour them to the DelayD roid run-time. The run-time then applies a policy to batch them, avoiding the tail time energy waste. DelayD roid also includes a cross-app communication mechanism that supports policies that optimize across multiple apps running together, and we propose a policy that does so. We evaluated the correctness and universality of the DelayD roid mechanisms on14 popular Android apps chosen from the Google App Store. To evaluate our proposed policy, we studied three DelayD roid-enabled apps(weather forecasting, email client, and news client) running together, finding that the DelayD roid mechanisms combined with our policy can reduce 3G/4G tail time energy waste by 36%.Gang HUANG Huaqian CAI Maciej SWIECH Ying ZHANG Xuanzhe LIU Peter DINDA 2017Science China(Information Sciences)2017,60,1:2
3The statistical properties of host load显示文摘Peter A Dinda 1999Scientific Programming1999,7,34:1
4Host load prediction using linear models 显示文摘Peter A Dinda David R O'Hall- aron 2000Cluster Com- puting2000,3,4:1
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