TY - GEN
T1 - Learning fairness under constraints
T2 - 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016
AU - Zhu, Qinyun
AU - Oh, Jae C.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/31
Y1 - 2017/1/31
N2 - We study multi-type resource allocation in multiagent system, where some constraints are enforced upon resource providers and users. These constraints are limitations of resource types and connection availabilities, which may make the collaboration between agents infeasible. We discuss the notion of distributed resource fairness under these constraints. Then we propose a game theory and reinforcement learning based solution for collaborative resource allocation, so that resources are assigned to users fairly and tasks are assigned to resource agents efficiently. We utilize data from Google data center as our input to simulations. Results show that our learning approach outperforms a greedy and random explorations in terms of resource utilization and fairness.
AB - We study multi-type resource allocation in multiagent system, where some constraints are enforced upon resource providers and users. These constraints are limitations of resource types and connection availabilities, which may make the collaboration between agents infeasible. We discuss the notion of distributed resource fairness under these constraints. Then we propose a game theory and reinforcement learning based solution for collaborative resource allocation, so that resources are assigned to users fairly and tasks are assigned to resource agents efficiently. We utilize data from Google data center as our input to simulations. Results show that our learning approach outperforms a greedy and random explorations in terms of resource utilization and fairness.
UR - http://www.scopus.com/inward/record.url?scp=85015420051&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85015420051&partnerID=8YFLogxK
U2 - 10.1109/ICMLA.2016.122
DO - 10.1109/ICMLA.2016.122
M3 - Conference contribution
AN - SCOPUS:85015420051
T3 - Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016
SP - 214
EP - 221
BT - Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 18 December 2016 through 20 December 2016
ER -