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A boundle of on-line algorithms for scheduling computational tasks
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Evolution and industry trend of 5G key technologies
Published 2022-05-01Subjects: “…5G-Advanced;multi-buffer scheduling;computing force network…”
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Bidirectional Collaborative Optimization Scheduling of Adjustable Resources in Computing Node and Power Node
Published 2025-02-01“…Considering the matching and real-time adjustment characteristics between computing tasks and resources, a dual-layer two-stage collaborative optimization scheduling model is proposed by scheduling computing tasks under the computing node and adjustable loads under the power node. …”
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Resource management in blockchain-enabled heterogeneous edge computing system
Published 2020-10-01“…In blockchain-enabled mobile edge computing (BMEC) systems,a new class of blockchain application related computation tasks was introduced to the system.Due to the differences of parallelism among computation tasks,heterogenous computing framework was introduced to suitably split various computation tasks on processors with vastly different processing power to achieve efficient task execution.Under the limited computation and communication resources,a system-wide utility maximization problem by jointly considering heterogeneous processor scheduling,computation and bandwidth resource allocation was formulated as a mixed-integer nonlinear programming problem.To solve the problem efficiently,the formulated problem was transformed into two sub-problems,namely application-driven heterogeneous processor scheduling and joint resource allocation,and a Lagrange-dual based algorithm was proposed.Simulation results show that the proposed scheme can effectively improve the system-wide utility of the BMEC system.…”
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Resource management in blockchain-enabled heterogeneous edge computing system
Published 2020-10-01“…In blockchain-enabled mobile edge computing (BMEC) systems,a new class of blockchain application related computation tasks was introduced to the system.Due to the differences of parallelism among computation tasks,heterogenous computing framework was introduced to suitably split various computation tasks on processors with vastly different processing power to achieve efficient task execution.Under the limited computation and communication resources,a system-wide utility maximization problem by jointly considering heterogeneous processor scheduling,computation and bandwidth resource allocation was formulated as a mixed-integer nonlinear programming problem.To solve the problem efficiently,the formulated problem was transformed into two sub-problems,namely application-driven heterogeneous processor scheduling and joint resource allocation,and a Lagrange-dual based algorithm was proposed.Simulation results show that the proposed scheme can effectively improve the system-wide utility of the BMEC system.…”
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Wireless rechargeable sensor networks with separable charger array
Published 2018-04-01“…In addition, our simulations indicate that the revised earliest deadline first scheduling algorithm does improve the earliest deadline first scheduling algorithm significantly with only minor overhead in scheduling computation time and very few extra chargers. Some modified variations of the proposed revised earliest deadline first algorithm will also be discussed and evaluated.…”
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Dynamic resource provisioning in containerized edge systems with reconfigurable edge servers
Published 2025-04-01“…The adaptive controller schedules computational resources on a time slot basis in an adaptive manner, while continuing to receive updates to plan future resource provisioning. …”
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Cloud-edge cooperative optimization scheduling strategy of metro integrated supervision and control system based on edge computing
Published 2025-06-01“…Simulation results show that the method proposed in this paper, the method proposed in this paper has ideal timeliness, is better than other methods in achieving the efficiency of scheduling computational tasks, effectively improves the operational performance of MISCS, and helps to enhance the stability of metro operation.…”
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