Quantity assurance method of grid service based on resource reservation

Abstract

The invention relates to a quantity assurance method of grid service base on resource reservation, mainly comprising a grid source reservation system structure based on a virtual organization and a grid resource joint allocation algorithm configured in the structure. The grid source reservation system structure based on the virtual organization introduces sources aggregated by the virtual resource container with the same function. When reaching the virtual organization, the reservation request is firstly virtually bonded with the virtual resource container; when the requested reservation time is arrived, the logic resource allocator allocates one or more resource to the reservation resource. Aiming at two different types of grid application of single work unit and work unit workflow, the logic resource allocator deploys a grid resource joint allocation algorithm based on QoS (quality of service) Euler distance and a grid joint recourse allocation algorithm with QoSguarantee.

Description

technical field [0001] The invention relates to the field of grid computing in computer networks, in particular to grid service quality assurance, in particular to a grid service quality assurance method based on resource reservation. Background technique [0002] With the integration of grid technology and Web service technology, grid architecture has developed from computing grid to service grid architecture. In the service grid architecture, grid resources can no longer be understood as a physical entity in a narrow sense, but are virtualized in the form of services. A service represents any capability that can be shared and utilized in a networked environment, including computers, storage systems, networks, computer programs, and databases, among others. The essence of service mesh is to coordinate the use of various resources, seamlessly deliver non-trivial quality of service, and meet the needs of different users. Quality of Service QoS (Quality of Service) is a comp...

AI Technical Summary

Problems solved by technology

However, there are still many deficiencies in grid service quality assurance based on resource reservation. Some resource reservation architectures proposed at present cannot support the collaboration between virtual organizations, nor can they eliminate the problems caused by grid resource availability and Negative effects of performance dynamics, which lead to a reduction in system availability and thus a reduction in trust

Moreover, some existing resource reservation negotiation strategies lack the combination with the grid QoS description model and classification, and do not consider the difference between the QoS requirement parameters of the reservation request, which leads to an increase in the false rejection rate

In addition, the current research only puts forward the concept of computing resource pool in a narrow sense, and the concept of resource pool needs to be further expanded in the service grid environment with a wide variety of resources, and the current research does not propose a form for the joint allocation of resources based on resource pools. Optimized models and proven algorithms

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