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The efficient scheduling of independent computational jobs in a heterogeneous computing (HC) environment is an important problem in domains such as grid computing. Finding optimal schedules for such an environment is (in general) an NP-hard problem, and so heuristic approaches must be used. The goal of grid task scheduling is to achieve high system throughput and to allocate various computing resources...
With the increase of air transportation demand, the problem of air traffic congestion has become more and more serious, so the study of flow optimization management is of urgent need and great importance. Ground-holding policy (GHP) is regarded as one of the most effective methods of short-term air flow management to ease the air traffic congestion and improve the air safety. The essence of the GHP...
Today a growing number of applications that operate in dynamic environments use distributed systems. Often, one or more constrained resources need to be allocated across such systems. In addition, for a number of important applications, the resources to be allocated are discrete quantities and the demand profile is intrinsically location and time dependent (thus pre-computating the resource allocation...
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