Multiagent Resource Allocation for Dynamic Task Arrivals with Preemption

2016 ◽  
Vol 8 (1) ◽  
pp. 1-27 ◽  
Author(s):  
John A. Doucette ◽  
Graham Pinhey ◽  
Robin Cohen
Keyword(s):  
Resource Allocation ◽  
Dynamic Task ◽  
Multiagent Resource Allocation

Dynamic Task Offloading and Resource Allocation for Mobile-Edge Computing in Dense Cloud RAN

2020 ◽  
Vol 7 (4) ◽  
pp. 3282-3299 ◽  
Author(s):  
Qi Zhang ◽  
Lin Gui ◽  
Fen Hou ◽  
Jiacheng Chen ◽  
Shichao Zhu ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Edge Computing ◽  
Mobile Edge Computing ◽  
Dynamic Task ◽  
Dense Cloud ◽  
Cloud Ran ◽  
Task Offloading

Computational complexity and approximability of social welfare optimization in multiagent resource allocation

2013 ◽  
Vol 28 (2) ◽  
pp. 256-289 ◽  
Author(s):  
Nhan-Tam Nguyen ◽  
Trung Thanh Nguyen ◽  
Magnus Roos ◽  
Jörg Rothe
Keyword(s):  
Resource Allocation ◽  
Computational Complexity ◽  
Social Welfare ◽  
Multiagent Resource Allocation ◽  
Social Welfare Optimization

Multiagent Resource Allocation: Aufteilung unteilbarer Ressourcen

2012 ◽  
pp. 323-340
Author(s):  
Jörg Rothe ◽  
Dorothea Baumeister ◽  
Claudia Lindner ◽  
Irene Rothe
Keyword(s):  
Resource Allocation ◽  
Multiagent Resource Allocation

scholarly journals Randomized distributed access to mutually exclusive resources

2005 ◽  
Vol 2005 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Moshe Dror ◽  
Bruce Hartman ◽  
Gary Knotts ◽  
Daniel Zeng
Keyword(s):  
Decision Making ◽  
Resource Allocation ◽  
Access To Resources ◽  
Computational Overhead ◽  
Multiagent Resource Allocation ◽  
Decentralized Decision Making ◽  
Resource Requirements ◽  
Allocation Decisions ◽  
Resource Allocation Decisions

Many systems consist of a set of agents which must acquire exclusive access to resources from a shared pool. Coordination of agents in such systems is often implemented in the form of a centralized mechanism. The intervention of this type of mechanism, however, typically introduces significant computational overhead and reduces the amount of concurrent activity. Alternatives to centralized mechanisms exist, but they generally suffer from the need for extensive interagent communication. In this paper, we develop a randomized approach to make multiagent resource-allocation decisions with the objective of maximizing expected concurrency measured by the number of the active agents. This approach does not assume a centralized mechanism and has no need for interagent communication. Compared to existing autonomous-decentralized-decision-making (ADDM)-based approaches for resource-allocation, our work emphasizes achieving the highest degree of agent autonomy and is able to handle more general resource requirements.

scholarly journals Heuristics for the stochastic dynamic task-resource allocation problem with retry opportunities

2018 ◽  
Vol 266 (1) ◽  
pp. 291-303 ◽  
Author(s):  
Nalan Gülpınar ◽  
Ethem Çanakoğlu ◽  
Juergen Branke
Keyword(s):  
Resource Allocation ◽  
Allocation Problem ◽  
Stochastic Dynamic ◽  
Resource Allocation Problem ◽  
Dynamic Task

scholarly journals An improved evidence theory-based trust model for multiagent resource allocation

2020 ◽  
Author(s):  
Ningkui Wang ◽  
Hayfa Zgaya-biau ◽  
Philippe Mathieu ◽  
Slim Hammadi
Keyword(s):  
Resource Allocation ◽  
Evidence Theory ◽  
Trust Model ◽  
Multiagent Resource Allocation

Dynamic Task Offloading and Resource Allocation for Heterogeneous MEC-enable IoT

2020 ◽  
Author(s):  
Shichao Xia ◽  
Xingxing Wen ◽  
Zhixiu Yao ◽  
Yun Li ◽  
Guoyin Wang
Keyword(s):  
Resource Allocation ◽  
Dynamic Task ◽  
Task Offloading
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