{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T00:44:17Z","timestamp":1725497057711},"edition-number":"1","reference-count":18,"publisher":"Wiley","isbn-type":[{"type":"print","value":"9780471383932"},{"type":"electronic","value":"9780470050118"}],"license":[{"start":{"date-parts":[[2009,3,16]],"date-time":"2009-03-16T00:00:00Z","timestamp":1237161600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Resource allocation in heterogeneous parallel and distributed computing is the process of assigning tasks to computers for execution such that some performance objective is optimized. 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J.Siegel andA. A.Maciejewski A stochastic approach to measuring the robustness of resource allocations in distributed systems Proc. of the 2006 International Conference on Parallel Processing (ICPP 2006) 2006pp.6\u201312.","DOI":"10.1109\/ICPP.2006.14"},{"volume-title":"Probability & Random Processes for Electrical Engineering","year":"1989","author":"Leon\u2010Garcia A.","key":"e_1_2_8_14_1"},{"key":"e_1_2_8_15_1","unstructured":"V.Shestak J.Smith R.Umland J.Hale P.Moranville A. A.Maciejewski andH. 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