Mar 8, 2017 · Abstract: Existing resource allocation approaches for nowadays stochastic networks are challenged to meet fast convergence and tolerable ...

Abstract—Existing resource allocation approaches for nowadays stochastic networks are challenged to meet fast convergence and tolerable delay requirements.

Analysis and simulated tests demonstrate that the proposed data-driven approach improves the delay and convergence performance of existing resource allocation ...

Analysis and simulated tests demonstrate that the proposed data-driven approach improves the delay and convergence performance of existing resource allocation ...

Journal Name: IEEE Transactions on Signal Processing ; Volume: 65 ; Issue: 12 ; ISSN: 1053-587X ; Page Range / eLocation ID: 3078 to 3093.

Leveraging stochastic optimization toolboxes, we have tackled online resource management problems (in different forms) for data centers, smart grids, and next- ...

Stochastic Averaging for Constrained Optimization with Application to Online Resource Allocation [pdf] ... A Dual Stochastic DFP algorithm for Optimal Resource ...

applications is decentralized resource allocation for a multi-agent system, where the network agents collectively solve an optimization problem in the ...

Mar 6, 2023 · This paper studies the online stochastic resource allocation prob- lem (RAP) with chance constraints. The online RAP is a 0-1 integer linear ...

Oct 12, 2020 · This paper deals with online resource allocation problems whereby buyers with a limited total budget want to purchase items which become ...