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The DSS integrates a dynamic model for scenario simulations, the computation of several indicators for sustainability analysis and an optimization model for optimal resource allocation.
Sharing intermediate sensing and computing results among these tasks is critical for optimal resource utilization.
Modeling human dynamics is crucial for optimal resource allocation and designing effective human machine systems.
In this paper, we propose a resource manager for optimal resource selection.
This paper provides a systematic approach for optimal resource allocation, unit manipulation, and waste reduction using integrated component-less design.
This paper proposes an Active Grid Information Server AGISS) that is a resource manager for optimal resource selection and fault tolerant service using a database management system that supports event condition action (ECA) rules.
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The problem of optimal resource allocation for satisfying QoS for multiple classes of SUs is a challenging problem in the design of our network.
Although an evaluation of optimal resource usage for VL care and other services was not within the scope of this study, there were clear indications that for example the hospital in Bazora was under-staffed compared with its patient load.
The proposed algorithm is numerically faster than the general mathematical optimization methods used for solving optimal resource allocation problems.
As for GSO, group members are always hunting for the optimal resource which is definitely scarce.
While many studies address independently these parameters (most of the time performance and power or energy), we show in this paper the necessity to tackle all these aspects for an optimal resource management of the computing resources.
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