Research And Design On Grid Structure Model And Its Resource Reservation Technology

Resource management is one of the most important key technologies, and it is of great theoretical practical value for the development of grid computing. Resource management includes resource organization, location, discovery, scheduling, allocation, confirmation, process creation, and other activities to prepare the necessary resources. It provides functions and concepts of management, so that clusters can be used as a single resource, and according to predefined criteria, the system administrator ensures the rational allocation and use of resources through resource management software, in order to eventually achieve the purpose of sharing resources. Resource reservation technology is an important part of resource management, so as to make users to have appropriate resources, complete the task which the users submitted, and achieve the QoS that users desired.The goal of this paper is to give a new model Group-Grid based on traditional grid hierarchical scheduling model-"P2P-Grid", and it can solve the main problems in traditional grid model. Group-Grid use service discovery component to achieve quickly find resources. Moreover, it improved the performance to avoid network burden caused by flooding algorithm and long searching period. It's also scalable and easy to adjust. Based on the existing general strategy, this thesis put forward some new concepts such as task block; cancel reservation and the reservation level, for ensuring the flexibility and reliability of resource reservation. The resource reservation strategy improves reservation success rate as well as the entire grid resource reservation client QoS.In addition, the traditional resource reservation algorithm cannot balance the lack of overall network resource utilization, and the existing resource reservation which including the task queue has been improved in this paper. And the paper gives an improved resource reservation algorithm and it can reduce the average waiting time for queued tasks by reserved for the task instead the task queue. It also can achieve load balancing of the network and improve the utilization of grid resources. Simulation results show that the resource reservation strategy than the old reservation on the success rate increased by 15%, improve the utilization of network resources by 5%.