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An intelligent job scheduling and real-time resource optimization for edge-cloud continuum in next generation networks. [PDF]
Naeem AB +4 more
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Using reinforcement algorithms to improve the collaboration efficiency of entrepreneurial teams. [PDF]
Wang J, Jiang L.
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A multi-objective optimization framework integrating ICSL deep learning for forecasting and scheduling emergency medical supply demand in public health emergencies. [PDF]
Pang Y +10 more
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Dynamics in scheduled networks
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2009When studying real or virtual systems through complex networks theories, usually time restrictions are neglected, and a static structure is defined to characterize which node is connected to which other. However, this approach is oversimplified, as real networks are indeed dynamically modified by external mechanisms. In order to bridge the gap, in this
Massimiliano, Zanin +2 more
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Dynamic scheduling with incomplete information
Proceedings of the tenth annual ACM symposium on Parallel algorithms and architectures - SPAA '98, 1998We consider the following scheduling problem: Our goal is to execute a given amount of arbitrarily decomposable work on a distributed machine as quickly as possible. The work is maintained by a central scheduler that can assign chunks of work of an arbitrary size to idle processors. The difficulty is that the processing time required for a chunk is not
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