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41#
發(fā)表于 2025-3-28 15:53:20 | 只看該作者
42#
發(fā)表于 2025-3-28 21:51:17 | 只看該作者
A Unified Peer-to-Peer Database Framework for Scalable Service and Resource Discovery In this paper, we devise the ., which allows to express specific applications for arbitrary query languages (e.g. XQuery, SQL) and node topologies, and a wide range of data types, query response modes (e.g. Routed, Direct and Referral Response), neighbor selection policies, pipelining characteristi
43#
發(fā)表于 2025-3-29 01:55:44 | 只看該作者
44#
發(fā)表于 2025-3-29 04:09:50 | 只看該作者
45#
發(fā)表于 2025-3-29 09:37:20 | 只看該作者
https://doi.org/10.1007/978-3-476-05685-6 minimizing the average parallel execution time of a target task is discussed. The approach of which validity has been verified through simulation considers temporal and spatial heterogeneities in addition to the average computing power on each computer.
46#
發(fā)表于 2025-3-29 15:01:18 | 只看該作者
47#
發(fā)表于 2025-3-29 17:42:07 | 只看該作者
Parag Shukla,Sofia Devi Shamurailatpamlts utilizing the random number generator already in use in the Monte Carlo application. All these techniques lead to a high-performance gridcomputing infrastructure that is capable of providing trustworthy Monte Carlo computation services.
48#
發(fā)表于 2025-3-29 23:46:46 | 只看該作者
https://doi.org/10.1007/978-3-476-04215-6is paper describes a first study of GridCCM, an extension to the CORBA Component Model to support parallel components. The feasibility of the model is evaluated thanks to its implementation on top of two CCM prototypes. Preliminary performance results show that bandwidth is efficiently aggregated.
49#
發(fā)表于 2025-3-30 01:43:05 | 只看該作者
50#
發(fā)表于 2025-3-30 05:07:58 | 只看該作者
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