In this report we demonstrate the potential utility of resource allocation management systems that use virtual machine technology for sharing parallel computing resources among competing jobs. We formalize the resource allocation problem with a number of underlying assumptions, determine its complexity, propose several heuristic algorithms to find near-optimal solutions, and evaluate these algorithms in simulation. We find that among our algorithms one is very efficient and also leads to the best resource allocations. We then describe how our approach can be made more general by removing several of the underlying assumptions.Dans ce rapport nous montrons l’utilité potentielle des systèmes de gestion de ressources qui utilisent la technologi...
International audienceWe propose algorithms for allocating multiple resources to competing services ...
International audienceWe propose algorithms for allocating multiple resources to competing services ...
International audienceWe propose algorithms for allocating multiple resources to competing services ...
In this report we demonstrate the potential utility of resource allocation management systems that u...
(ENG) In this report we demonstrate the potential utility of resource allocation management systems ...
International audienceWe propose a novel approach for sharing cluster resources among competing jobs...
International audienceWe propose a novel approach for sharing cluster resources among competing jobs...
In this report we demonstrate the potential utility of re-source allocation management systems that ...
International audienceCommodity clusters are used routinely for deploying service hosting platforms....
Commodity clusters are used routinely for deploying service hosting platforms. Due to hardware and ...
International audienceWe propose algorithms for allocating multiple resources to competing services ...
We propose algorithms for allocating multiple resources to competing services running in virtual mac...
This thesis studies resource management for on-demand computing services through a shared cluster. I...
This thesis studies resource management for on-demand computing services through a shared cluster. I...
This thesis studies resource management for on-demand computing services through a shared cluster. I...
International audienceWe propose algorithms for allocating multiple resources to competing services ...
International audienceWe propose algorithms for allocating multiple resources to competing services ...
International audienceWe propose algorithms for allocating multiple resources to competing services ...
In this report we demonstrate the potential utility of resource allocation management systems that u...
(ENG) In this report we demonstrate the potential utility of resource allocation management systems ...
International audienceWe propose a novel approach for sharing cluster resources among competing jobs...
International audienceWe propose a novel approach for sharing cluster resources among competing jobs...
In this report we demonstrate the potential utility of re-source allocation management systems that ...
International audienceCommodity clusters are used routinely for deploying service hosting platforms....
Commodity clusters are used routinely for deploying service hosting platforms. Due to hardware and ...
International audienceWe propose algorithms for allocating multiple resources to competing services ...
We propose algorithms for allocating multiple resources to competing services running in virtual mac...
This thesis studies resource management for on-demand computing services through a shared cluster. I...
This thesis studies resource management for on-demand computing services through a shared cluster. I...
This thesis studies resource management for on-demand computing services through a shared cluster. I...
International audienceWe propose algorithms for allocating multiple resources to competing services ...
International audienceWe propose algorithms for allocating multiple resources to competing services ...
International audienceWe propose algorithms for allocating multiple resources to competing services ...