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Users and developers of grid applications have access to increasing numbers of resources. While more resources generally mean higher capabilities for an application, they also rai...
Efficient task scheduling is essential for obtaining high performance in heterogeneous distributed computing systems (or HeDCSs). Because of its key importance, several scheduling...
In this letter we develop an expression for the approximate throughput guarantee violation probability (TGVP) for users in time-slotted networks for any scheduling algorithm with ...
This paper investigates real-time scheduling in a system whose energy reservoir is replenished by an environmental power source. The execution of tasks is deemed primarily energy-...
Clemens Moser, Lothar Thiele, Luca Benini, Davide ...
We consider schemes for enacting task share changes—a process called reweighting—on real-time multiprocessor platforms. Our particular focus is reweighting schemes that are de...
Aaron Block, James H. Anderson, UmaMaheswari C. De...
Optimizing energy consumption has become a major concern in designing economical clusters. Scheduling precedence-constrained parallel tasks on clusters is challenging because of h...
Ziliang Zong, Adam Manzanares, Brian Stinar, Xiao ...
Security-sensitive applications that access and generate large data sets are emerging in various areas such as bioinformatics and high energy physics. Data grids provide data-inte...
The performance of many scientific applications for distributed memory platforms can be increased by utilizing multiprocessor-task programming. To obtain the minimum parallel runt...
— Increasing demand for high data-rate multimedia services has led to the emergence of high-speed data transfer features such as High-Speed Downlink Packet Access (HSDPA) for WCD...
Joseph S. Gomes, Mira Yun, Hyeong-Ah Choi, Jae-Hoo...
Recent years have seen the emergence of wireless sensor network systems that must support high data rate and realtime queries of physical environments. This paper proposes Real-Ti...