This paper reviews the advantages and disadvantages of traditional 5-levelGrid architecture and new OGSA standards. It also summarizes the current popular Grid resource schedule algorithms and frameworks. The paper points out the problems and trends faced by the Grid communities. It emphasizes that there must be a self-configuring Grid to support the dynamic changing complex systems. The paper proposed a new semantic enhanced Grid resource allocation framework which is highly flexible and autonomous. Some supporting prototype verification and formal methods are discussed as well. As a PhD proposal, the paper gives work plan and possible outcome at the end
Scheduling parallel and distributed applications efficiently onto grid environments is a difficult t...
Abstract This paper discusses the requirements for and functionalities of resource management system...
The Grid’s vision, of sharing diverse resources in a flexible, coordinated and secure manner through...
The Grid's vision, of sharing diverse resources in a flexible, coordinated and secure manner through...
The semantic grid refers to an approach to grid computing in which information, computing resources ...
Grids involve coordinated resource sharing and problem solving in heterogeneous dynamic environments...
The Semantic Grid reference architecture, S-OGSA, includes semantic provisioning services that are a...
Standardization of resource interfaces and behaviors is critical for realizing the Grid vision. Most...
Abstract — The potential of truly large scale grids can only be realized with grid architectures and...
Grid is a distributed high performance computing paradigm that offers various types of resources (li...
Standardization of resource interfaces and behaviors is critical for realizing the Grid vision. Most...
Grid computing offers significant enhancements to our capabilities for computation, information proc...
Traditionally, distributed resource management/scheduling systems for the Grid (e.g. Globus/GRAM/Con...
Grid technologies have enabled the clustering of a wide variety of geographically distributed resour...
Resources contributed in ad hoc grids are volatile, unreliable and non-dedicated. Furthermore, resou...
Scheduling parallel and distributed applications efficiently onto grid environments is a difficult t...
Abstract This paper discusses the requirements for and functionalities of resource management system...
The Grid’s vision, of sharing diverse resources in a flexible, coordinated and secure manner through...
The Grid's vision, of sharing diverse resources in a flexible, coordinated and secure manner through...
The semantic grid refers to an approach to grid computing in which information, computing resources ...
Grids involve coordinated resource sharing and problem solving in heterogeneous dynamic environments...
The Semantic Grid reference architecture, S-OGSA, includes semantic provisioning services that are a...
Standardization of resource interfaces and behaviors is critical for realizing the Grid vision. Most...
Abstract — The potential of truly large scale grids can only be realized with grid architectures and...
Grid is a distributed high performance computing paradigm that offers various types of resources (li...
Standardization of resource interfaces and behaviors is critical for realizing the Grid vision. Most...
Grid computing offers significant enhancements to our capabilities for computation, information proc...
Traditionally, distributed resource management/scheduling systems for the Grid (e.g. Globus/GRAM/Con...
Grid technologies have enabled the clustering of a wide variety of geographically distributed resour...
Resources contributed in ad hoc grids are volatile, unreliable and non-dedicated. Furthermore, resou...
Scheduling parallel and distributed applications efficiently onto grid environments is a difficult t...
Abstract This paper discusses the requirements for and functionalities of resource management system...
The Grid’s vision, of sharing diverse resources in a flexible, coordinated and secure manner through...