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ICAC
2006
IEEE
13 years 12 months ago
A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation
— Reinforcement Learning (RL) provides a promising new approach to systems performance management that differs radically from standard queuing-theoretic approaches making use of ...
Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mo...
IJCAI
2003
13 years 7 months ago
Towards Cooperative Negotiation for Decentralized Resource Allocation in Autonomic Computing Systems
Resource allocation is a key problem in autonomic computing. In this paper we use a data center scenario to motivate the need for decentralization and cooperative negotiation, and...
Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart,...
ASPLOS
2012
ACM
12 years 1 months ago
DejaVu: accelerating resource allocation in virtualized environments
Effective resource management of virtualized environments is a challenging task. State-of-the-art management systems either rely on analytical models or evaluate resource allocati...
Nedeljko Vasic, Dejan M. Novakovic, Svetozar Miuci...
CLUSTER
2008
IEEE
14 years 8 days ago
Active CoordinaTion (ACT) - toward effectively managing virtualized multicore clouds
—A key benefit of utility data centers and cloud computing infrastructures is the level of consolidation they can offer to arbitrary guest applications, and the substantial savi...
Mukil Kesavan, Adit Ranadive, Ada Gavrilovska, Kar...
CLOUD
2010
ACM
13 years 11 months ago
Virtual machine power metering and provisioning
Virtualization is often used in cloud computing platforms for its several advantages in efficiently managing resources. However, virtualization raises certain additional challeng...
Aman Kansal, Feng Zhao, Jie Liu, Nupur Kothari, Ar...