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Energy-efficiency is becoming one of the most critical issues in embedded system design. In Network-on-Chip (NoC) based heterogeneous Multiprocessor Systems, the energy consumption is influenced dramatically by task allocation schemes. Although various approaches are proposed to allocate tasks in an energy-efficient way, existing work does not well explore the tradeoff between the two major power...
The resource management system is the 'brain' of a Grid. It manages the shared resource of the Grid and maps user jobs to the resources. Grid resource allocation is one of the critical functions affecting the performance of a Grid, because the number of jobs and amount of required resources are massive and quick responses to users are necessary in a real Grid computing environment. Many methods have...
Application-Specific Instruction set Processor (ASIP) has become an increasingly popular platform for embedded systems because of its high performance and flexibility. Energy efficiency is critical for portable and embedded devices, and should be addressed separately from performance consideration. The hardware extension in ASIPs can speed-up program execution, but also incurs area overhead and static...
Resource co-allocation problem is one of the challenging problems in grid and cloud environments. In this paper, we propose an auction based mathematical model for providing economically efficient allocations of resources in these environments. Our model improves our earlier multi-unit nondiscriminatory combinatorial auction model by introducing a penalty cost mechanism which results in better utilization...
In this paper, we focus on scheduling jobs on computing grids. In our model, a grid job is made of a large collection of input data sets, which must all be processed by the same task graph or workflow, thus resulting in a collection of task graphs problem. We are looking for a competitive scheduling algorithm not requiring complex control. We thus only consider single-allocation strategies. In addition...
In this paper, we focus on scheduling jobs on computing Grids. In our model, a Grid job is made of a large collection of input data sets, which must all be processed by the same task graph or workflow, thus resulting in a series of workflow problem. We are looking for an efficient solution with regard to throughput and latency, while avoiding solutions requiring complex control. We thus only consider...
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