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At present, power management in High-Performance Computing (HPC) environment is becoming a hot topic owning to its high operation cost, low reliability and environmental impact. In this paper, we investigate energy minimization scheduling algorithm of data dependent tasks in DVS-Enabled cluster system. Considering the data-intensive characteristics, the proposed EOTD (Energy Optimization scheduling...
Complicated method and technology have been introduced into business workflow to solve their cooperation and load balancing. However, as combination of data management and flow management, scientific workflow's load balancing is less researched. So the phenomena of conflicting scheduling and load unbalance often occur. In this paper, we analyze functional framework and load consumption of scientific...
At present, energy-efficient scheduling algorithm in High-Performance Computing (HPC) environment is becoming a research hotspot owning to its high operation cost and low reliability. In this paper, we investigate energy-efficient scheduling algorithm of data dependent tasks in DVS-Unable cluster system. The proposed ESTD algorithm efficiently integrates task clustering with task duplication technologies...
One of the important issues in the design of future generation high-speed networks is to provide differentiated services to different types of traffic with/without various time constraints and priorities. In this paper, we study the problem of providing differentiated services in passive star coupled wavelength division multiplexing (WDM) optical networks. We suggest a simple static priority based...
In this paper, a local optimization framework is proposed, which is able to include system constraints, i.e., channel availability, receiver availability and tuning overhead, by linear mathematical formulations so that it is sufficient to obtain the optimal performance in terms of message loss rate. A mixed integer linear programming (MILP) based optimal scheduling scheme has been proposed. Based...
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