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In this paper, we propose a new algorithm for job interchange in Computational Grids that consist of autonomous and equitable HPC sites, called Shaking-G. Originally developed for balancing the sharing of video files in P2P networks, we conceptually transfer and adapt the algorithm to the domain of job scheduling in Grids, building an integrated, load-adaptive two-tier job exchange strategy. We evaluate...
In this paper, we study the impact of tasks reallocation onto a multi-cluster environment where clusters are heterogeneous and use different resources management policies. In this context, we propose a reallocation mechanism that migrates waiting jobs from one cluster to another. We performed simulations using real traces to study benefits of reallocations. We compared two algorithms providing the...
Today's data centers consume vast amounts of energy, leading to high operational costs, excessive water consumption, and significant greenhouse gas emissions. With the approach of micro grids, an opportunity exists to reduce the environmental impact and cost of power in data centers. To realize this, demand side power consumption needs to be understood and co-managed from the perspectives of both...
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