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According to the organization's mission statement, "The Open Compute Project Foundation is a rapidly growing community of engineers around the world whose mission is to design and enable the delivery of the most efficient server, storage and data center hardware designs for scalable computing".
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This occurs as the proposed scheme assigns tasks to the most efficient servers and no new servers are assigned unless the number of servers may not be enough to serve tasks on time or else, the server capacity is reached.
For this, it is considered that the central scheduler sorts the servers based on their energy efficiency, and assigns tasks to the most energy-efficient servers first and it then continues to allocate tasks to the second most efficient servers on the list, and so on, until no task remains or else, servers' queues are full.
The most-efficient server first scheme section introduces the MESF task-scheduling scheme.
Dong et al. [7] proposed most-efficient-server-first (MESF) task-scheduling algorithm for cloud computing data center.
Most-efficient-server-first schedules tasks to a minimum number of servers while keeping the data-center response time within a maximum constraint.
We proposed a greedy task-scheduling scheme, the most-efficient-server-first scheduling, to reduce energy consumption of data center servers.
As a practical approach, we propose the most-efficient-server-first task-scheduling scheme to minimize energy consumption of servers in a data center.
We also prove the stability of most-efficient-server-first scheme for tasks with exponentially distributed, independent, and identically distributed arrivals.
As a practical solution, we propose the most-efficient-server-first (MESF) task-scheduling scheme to minimize the energy consumption while keeping the response within a constrained time.
Simulation results show that the server energy consumption of the proposed most-efficient-server-first scheduling scheme is 70 times lower than that of a random-based task-scheduling scheme.
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