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Distributing Unit Size Workload Packages in ...
Journal of Graph Algorithms and Applications
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由 R Elsässer 著作2006被引用 29 次 — Diffusion based schemes, which belong to the class of nearest neighbor load balancing algorithms, are a popular way to address this problem.
Distributing Unit Size Workload Packages in ...
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由 REB Monien 著作被引用 29 次 — Abstract. The task of balancing dynamically generated work load occurs in a wide range of parallel and distributed applications. Diffusion based.
Distributing unit size workload packages in heterogeneous ...
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Distributing unit size workload packages in heterogeneous networks. Elsässer, Robert; Monien, Burkhard; Schamberger, Stefan.
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Journal of Graph Algorithms and Applications
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Journal of Graph Algorithms and Applications
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由 R Elsässer 著作2006被引用 29 次 — Originally createdto equalize the amount of arbitrarily divisible load among the nodes of astatic and homogeneous network, they have been generalized to hetero- ...
Journal of Graph Algorithms and Applications Distributing Unit ...
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By modifying a randomized strategy invented for homogeneous systems, this paper can achieve an asymptotically minimal expected overload in l1, ...
Journal of Graph Algorithms and Applications
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Distributing Unit Size Workload Packages in Heterogeneous Networks · Robert Elsässer, Burkhard Monien, and Stefan Schamberger. Vol. 10, no. 1, pp. 51-68, 2006 ...
(PDF) Optimizing workload allocation in a network of ...
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2024年10月22日 — A new workload allocation model based on Generalized Exponential (GE) distribution is proposed for user-level performance measures. The ...
Heterogeneous parallel and distributed computing
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由 VS Sunderam 著作1999被引用 43 次 — In this paper, we discuss the evolution of heterogeneous concurrent computing, in the context of the parallel virtual machine (PVM) system.
Evaluation of work distribution schedulers for ...
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由 M Gonzalez Tallada 著作2024 — This article explores and evaluates variants of state-of-the-art work distribution schemes adapted for scientific applications running on ...
Workload Distribution on Heterogeneous Platforms
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We evaluate an alternative load management scheme for heterogeneous, shared-disk clusters. Our scheme directly tunes hash-based randomized load placement using ...