Author_Institution :
Dept. of Inf. Technol., Sathyabama Univ., Chennai, India
Abstract :
Dynamic Grid computing is a process of Share the grid balanced resources and services in a large-scale worldwide distributed Environment with fault free run time application. Resource management technique (RMT) jointly works with grid broker for an elastic grid computing. Broker that acts as a middle man to the stock exchange and place trade on behalf of clients. Special care must be taken when using broker in shopping application. Broker based Resource Management (BRM) have a lot of intelligent techniques like Request Deployment, Job Handle, Grid Resource Discovery, Match making, Optimization, Job Migration, Job scheduling, Middleware supports, Meta brokers, Resource brokers, Dispatcher. In BRM, Broker keeps track of information about all the Resource in its resource pool, including their availability, load, network accessibility, usage models, capabilities, and pricing information and the range of computational tasks that they can perform. The resource broker provides pairing services between the service requester (Buyer) and the service provider (supplier). The resource broker selects the best scheduler for the resource execution job, and collaborates with the scheduler to execute the multi tasks. Agents are only responsible for the timely and accurate processing of forms. Its works for some limited agency certified based company that is Agents are working for some particular service provider´s company only. But broker work for all companies (all service providers). From the broker´s service, all types of services requester (variety of different purchaser) is benefited. Example: Product requester detects the all brands of the particular products details displayed through broker, but agent display only agencies certified company´s product details only. Broker is an agent that heads the whole hierarchy, maintaining all service information of the system. Consumers are searching the products from their related Image or text or video through broker based on linear- programming solution. Benefits of this shopping system are save the price and get a quality product through broker´s suggestion based shopping and location via product ranking based shopping.
Keywords :
Internet; fault trees; grid computing; middleware; multi-agent systems; resource allocation; retail data processing; scheduling; service-oriented architecture; socio-economic effects; ubiquitous computing; broker suggestion based location; broker suggestion based shopping; dispatcher; distributed environment; dynamic grid computing; elastic grid computing; fault free run time application; friendly shopping application; grid balanced resource sharing; grid balanced service sharing; grid resource discovery; integration based large scale broker resource management; intelligent techniques; job handle; job migration; job scheduling; match making; meta brokers; middleware supports; network accessibility; optimization; pairing services; pervasive come utility computing environment; pricing information; product ranking based shopping; request deployment; resource brokers; resource management technique; resource pool; service oriented architecture; stock exchange; usage models; Availability; Companies; Databases; Grid computing; History; Monitoring; Resource management; Broker based Resource Management; Dynamic Grid Computing; Experimental result of friendly shopping; Linear Program solution; SOA based Broker Vs Agent; Suggestion and location based shopping;