بررسی زمانبندی پویا غیر متمرکز برای شبکه ها و ابرها با استفاده از الگوریتم زمان بندی جامعه آگاه

In this work, we introduce a decentralized dynamic scheduling approach entitled the community-aware scheduling algorithm (CASA). The CASA is a two-phase scheduling solution comprised of a set of heuristic sub-algorithms to achieve optimized scheduling performance over the scope of overall grid or cloud, instead of individual participating nodes. The extensive experimental evaluation with a real grid workload trace dataset shows that, when compared to the centralized scheduling scheme with BestFit as the metascheduling policy, the use of CASA can lead to a 30%–61% better average job slowdown, and a 68%–86% shorter average job waiting time in a decentralized scheduling manner without requiring detailed real-time processing information from participating nodes.