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Desktop grids have evolved to combine Peer-to-Peer and Grid computing techniques to improve the robustness, reliability and scalability of job execution infrastructures. However, efficiently matching incoming jobs to available system resources and achieving good load balance in a fully decentralized and heterogeneous computing environment is a challenging(More)
Desktop grids use opportunistic sharing to exploit large collections of personal computers and workstations across the Internet, achieving tremendous computing power at low cost. Traditional desktop grid systems are typically based on a clientserver architecture, which has inherent shortcomings with respect to robustness, reliability and scalability. In(More)
The goal of the work described in this paper is to design and build a scalable infrastructure for executing grid applications on a widely distributed set of resources. Such grid infrastructure must be decentralized, robust, highly available, and scalable, while efficiently mapping application instances to available resources in the system. However, current(More)
Desktop grids can achieve tremendous computing power at low cost through opportunistic sharing of resources. However, traditional client–server Grid architectures do not deal with all types of failures, and do not always cope well with very dynamic environments. This paper describes the design of a desktop grid implemented over a modified Peer-to-Peer (P2P)(More)
We present the HTCaaS (High-Throughput Computing as a Service) system which aims to provide researchers with ease of exploring large-scale and complex HTC problems by leveraging Supercomputers, Grids, and Cloud. HTCaaS can hide heterogeneity and complexity of harnessing different types of computing infrastructures from users, and efficiently submit a large(More)
Recent cloud computing enables numerous scientists to earn advantages by serving on-demand and elastic resources whenever they desire computing resources. This science cloud paradigm has been actively developed and investigated to satisfy requirements of the scientists such as performance, feasibility and so on. However, effective allocation and(More)
Recent emerging applications from a wide range of scientific domains often require a very large number of loosely coupled tasks to be efficiently processed. To support such applications effectively, all the available resources from different types of computing platforms such as supercomputers, grids, and clouds need to be utilized. However, exploiting(More)
Desktop grids use opportunistic sharing to exploit large collections of personal computers and workstations across the Internet and can achieve tremendous computing power with low cost. However, current systems are typically based on a traditional client-server architecture, which has inherent shortcomings with respect to robustness, reliability and(More)
We describe and evaluate a set of protocols that implement a distributed, decentralized desktop grid. Incoming jobs are matched with system nodes through proximity in an N-dimensional resource space. This work improves on prior work by (1) efficiently accommodating node and job characterizations that include both continuous and categorical resource types,(More)