Harvesting idle CPU resources for desktop grid computing while limiting the slowdown generated to end-users.
Eduardo RosalesGerman SoteloAntonio de la VegaCesar O. DiazCarlos E. GómezHarold E. CastroPublished in: Clust. Comput. (2015)
Keyphrases
- end users
- grid computing
- resource management
- computing resources
- resource sharing
- grid environment
- computational grids
- resource discovery
- heterogeneous computing
- user interface
- grid technology
- data grids
- distributed computing
- resource utilization
- load balancing
- computing environments
- grid infrastructure
- grid services
- application development
- peer to peer
- resource allocation
- high performance computing
- grid middleware
- business intelligence
- limited resources
- web applications
- search tools
- quality of service
- network resources
- response time
- user communities
- geographically distributed
- databases
- service providers
- management system
- expert systems
- data grid
- virtual machine
- digital libraries
- multimedia
- fault tolerance
- artificial intelligence