In this work we present a market based resource allocation framework which combines the advantages of leasing reservation and auction proportional share mechanisms. The rationale behind the hybrid allocation policy is to have an efficient and flexible resource sharing envi-ronment that fulfill the conflicting user/provider requirements by exploiting the heterogeneity of client demand. Our solution builds on current advances of Virtualization and Grid technolo-gies. The main contributions are: (I) A market-based framework that combines advantages of leasing and auction resource allocation models; (II) An analysis of a hybrid market based resource allocation policy, where users can choose between paying more to have a low-risk resource reserv...
Recently, user-oriented QoS requirements have attracted more and more attentions, and the resource c...
The accelerated development in Peer-to-Peer (P2P) and Grid computing has positioned them as promisin...
International audienceCommercial cloud providers are used to allocate computing resources to request...
Abstract — We believe that a market-based resource allocation will be effective in a cloud computing...
The Grid provides access to distributed computational capabilities such as processors or storage spa...
In this work we describe a market based approach to conduct resource allocation problems in computat...
Resource allocation is one of the most widely addressed topics in computer science. Its importance l...
AbstractThe ‘Pay-as-per-use’ model of cloud computing requires a user to rent cloud resources or ser...
In Grid environments, where virtual organization resources are allocated to users using mechanisms a...
Sharing and optimized usage of resources utilities are one of the most essential goals in Grid syste...
Service providers of the future could dynamically negotiate for, and create their infrastructure on ...
The concept of coupling internet-wide computational resources (high-end computers and low-end person...
In this paper, we implemented an auction–based framework for user and resource provider matchmaking ...
Market mechanisms are deemed promising for distributed resource allocation settings by explicitly in...
For decades markets have been proposed for allocating computer resources in distributed systems like...
Recently, user-oriented QoS requirements have attracted more and more attentions, and the resource c...
The accelerated development in Peer-to-Peer (P2P) and Grid computing has positioned them as promisin...
International audienceCommercial cloud providers are used to allocate computing resources to request...
Abstract — We believe that a market-based resource allocation will be effective in a cloud computing...
The Grid provides access to distributed computational capabilities such as processors or storage spa...
In this work we describe a market based approach to conduct resource allocation problems in computat...
Resource allocation is one of the most widely addressed topics in computer science. Its importance l...
AbstractThe ‘Pay-as-per-use’ model of cloud computing requires a user to rent cloud resources or ser...
In Grid environments, where virtual organization resources are allocated to users using mechanisms a...
Sharing and optimized usage of resources utilities are one of the most essential goals in Grid syste...
Service providers of the future could dynamically negotiate for, and create their infrastructure on ...
The concept of coupling internet-wide computational resources (high-end computers and low-end person...
In this paper, we implemented an auction–based framework for user and resource provider matchmaking ...
Market mechanisms are deemed promising for distributed resource allocation settings by explicitly in...
For decades markets have been proposed for allocating computer resources in distributed systems like...
Recently, user-oriented QoS requirements have attracted more and more attentions, and the resource c...
The accelerated development in Peer-to-Peer (P2P) and Grid computing has positioned them as promisin...
International audienceCommercial cloud providers are used to allocate computing resources to request...