To overcome the disadvantages of existing algorithms in scheduling distributed real-time tasks, this paper proposes a post-scheduling optimization algorithm (PSO) based on a novel structure called Scheduled Clusters T...
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We propose a simple distributed hash table called ReCord, which is a generalized version of Randomized-Chord and offers improved tradeoffs in performance and topology maintenance over existing P2P systems. ReCord is s...
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Fast Fourier Transform(FFT) represents a common communication pattern shared by a large class of scientific and engineering problems and wavelength assignment is a key issue to increase efficiency and reduce cost in W...
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this paper proposes JSGrid, as a software framework to build up computer clusters running on various operating systems. JSGrid makes good use of idle computational resources without installing any software. JSGrid the...
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We present an efficient and incremental (un)marshaling framework designed for distributedapplications. A marshaler/ unmarshaler pair converts arbitrary structured data between its host and network representations. th...
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We present an efficient and incremental (un)marshaling framework designed for distributedapplications. A marshaler/ unmarshaler pair converts arbitrary structured data between its host and network representations. this technology can also be used for persistent storage. Our framework simplifies the design of efficient and flexible marshalers. the network latency is reduced by concurrent execution of (un)marshaling and network operations. the framework is actually used in Mozart, a distributed programming system that implements Oz, a multi-paradigm concurrent language. (c) 2004 Elsevier B.V. All rights reserved.
In this paper a new partitioning algorithm for parallelization of post-placement VLSI procedures is presented. the partitioning technique divides problem tasks into multiple sessions of parallel processes, so that int...
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Scheduling divisible workloads in distributed systems has been one of the interesting research problems over the last few years. Most of the scheduling algorithms previously introduced are based on the master-worker m...
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Message passing based parallel programming paradigm and associated libraries such as MPI and PVM have proven its novelty and efficiency by successful applications in many diverse areas ranging from scientific computat...
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the overall computing power available today has mado possible tor small enterprises and laboratories to develop applicationsthat need big amounts of storage. this storage has traditionally been expensive, using propi...
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the Data Grid enables the sharing, selection, and connection of a wide variety of geographically distributed computational and storage resources for solving large-scale data intensive scientific applications. Such tec...
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