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The efficiency of reputation system depends on the quality of feedbacks. However current reputation models in peer-to-peer systems can not process such strategic feedbacks as correlative and collusive ratings. Furthermore in them there exists unfairness to blameless peers. We propose a new reputation management mechanism to restrain false feedbacks. Our(More)
Data prefetching has been a successful technique in high-performance computing platforms. However, the conventional wisdom is that they significantly increase energy consumption, and thus not suitable for embedded mobile systems. On the other hand, as modern mobile applications pose an increasing demand for high performance, it becomes essential to(More)
Although virtualization technologies bring many benefits to cloud computing environments, as the virtual machines provide more features, the middleware layer has become bloated, introducing a high overhead. Our ultimate goal is to provide hardware-assisted solutions to improve the middleware performance in cloud computing environments. As a starting point,(More)
Nowadays, we are heading towards integrating hundreds to thousands of cores on a single chip. However, traditional system software and middleware are not well suited to manage and provide services at such large scale. To improve the scalability and adaptability of operating system and middleware services on future many-core platform, we propose the pinned(More)
As Extensible Markup Language (XML) becomes prevalent in cloud computing environments, it also introduces significant performance overheads. In this paper, we analyze the performance of XML parsing, identify that a significant fraction of the performance overhead is indeed incurred by memory data loading. To address this problem, we propose implementing(More)