Difference between revisions of "AMGCC14"
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Managing hybrid, virtualized computing resources in a large-scale cloud computing environments, however, still leaves a lot of research to be conducted. Furthermore, autonomous managements of resources in such a large scale federated hybrid computing infrastructures are essential. In this workshop, we would like to bring researcher around the world to discuss and communicate the challenges and research results in the design, implementation, and evaluation of novel autonomous hybrid cloud resource management systems, and the theory and practice of cloud and grid resource management. | Managing hybrid, virtualized computing resources in a large-scale cloud computing environments, however, still leaves a lot of research to be conducted. Furthermore, autonomous managements of resources in such a large scale federated hybrid computing infrastructures are essential. In this workshop, we would like to bring researcher around the world to discuss and communicate the challenges and research results in the design, implementation, and evaluation of novel autonomous hybrid cloud resource management systems, and the theory and practice of cloud and grid resource management. | ||
| + | |||
| + | == Topics of interest == | ||
| + | |||
| + | Topics include, but are not limited to: | ||
| + | * Autonomic Workflow and Resource Management in Cloud and Grid | ||
| + | * Autonomous and Adaptive Management of Virtualized Resources | ||
| + | * High Performance Grid and Cloud | ||
| + | * Security, Privacy, and Compliance Management for Hybrid Utility Computing | ||
| + | * Performance and Usage Monitoring in Hybrid Infrastructures | ||
| + | * Autonomic Resource Discovery and Scheduling in Cloud and Grid | ||
| + | * Service-based Autonomic Management in Cloud and Grid | ||
| + | * Hybrid Cloud Resource Provisioning Orchestration | ||
| + | * Adaptive Resource Provisioning and Adjustment in Grid and Cloud | ||
| + | * Autonomics in High Performance Cloud Computing | ||
| + | * Cloud/Grid Workload Profiling and Autonomic Deployment Control | ||
| + | * Fault tolerance and Reliability in Hybrid Utility Computing | ||
| + | * Federation, Bridging, and Bursting of Grid and Cloud Resources | ||
Revision as of 02:42, 13 February 2014
The 2nd International Workshop on Autonomic Management of high performance Grid and Cloud Computing (AMGCC’14)
Co-located with The ACM Cloud and Autonomic Computing Conference (CAC 2014)
London, U.K. -- September 12, 2014
Imperial College -- 09:30AM - 05:00PM
Contents
News & Events
- Workshop homepage opens
Overview
Grid computing leverages enormous computing resources scattered over the internet in order to integrate and form a large-scale computing platform to solve grand-scale problems. Grid computing also has had great influence on the cloud computing besides the virtualization technology which logically decouples the physical computing resources with the computing system. Consequently, the cloud computing provides cost-effective, fast, and unlimited virtualized resources for large-scale applications. Cloud computing is also used as “utility computing” where the computing services are provided on-demand and as needs based. Thus, it is commonly deployed for various applications these days.
Managing hybrid, virtualized computing resources in a large-scale cloud computing environments, however, still leaves a lot of research to be conducted. Furthermore, autonomous managements of resources in such a large scale federated hybrid computing infrastructures are essential. In this workshop, we would like to bring researcher around the world to discuss and communicate the challenges and research results in the design, implementation, and evaluation of novel autonomous hybrid cloud resource management systems, and the theory and practice of cloud and grid resource management.
Topics of interest
Topics include, but are not limited to:
- Autonomic Workflow and Resource Management in Cloud and Grid
- Autonomous and Adaptive Management of Virtualized Resources
- High Performance Grid and Cloud
- Security, Privacy, and Compliance Management for Hybrid Utility Computing
- Performance and Usage Monitoring in Hybrid Infrastructures
- Autonomic Resource Discovery and Scheduling in Cloud and Grid
- Service-based Autonomic Management in Cloud and Grid
- Hybrid Cloud Resource Provisioning Orchestration
- Adaptive Resource Provisioning and Adjustment in Grid and Cloud
- Autonomics in High Performance Cloud Computing
- Cloud/Grid Workload Profiling and Autonomic Deployment Control
- Fault tolerance and Reliability in Hybrid Utility Computing
- Federation, Bridging, and Bursting of Grid and Cloud Resources
