Definition of Grid Resource Scheduling

1. LOGO LOGO INTORODUCTION MATERIALS AND METHODS One of the Key Issues--How Does Grid-Computing Follow the Way of Real-World Bank to Avoid Risks Definition of Grid Resource Scheduling Scheduling diverse applications on heterogeneous, distributed, dynamic grid computing systems is one of the most important components of a grid resource management system Economic-based modeling The grid infrastructure offers basic computing components, but the grid resources scheduling has to running under the economic rules. The banking theory will be one of them [1] to deal with distributed and heterogeneous resources. All the parties of the grid computing can follow the real banking to do transaction. • The Main Theory of Architecture of Banking Based Grid Resource Allocation (BGRA) • The overall system consists of three layers (Fig below). Hierarchical [10] is more suitable properties for a Grid RMS scheduler organization. In a hierarchical organization, the scheduling controllers are organized in a • hierarchy. • The right layer are owned and allocated by the grid resource owner. In the computational environment they • are work on the nodes of grid. • The middle layer is the banking based grid resource management system. It consist grid resource broker and virtual resource pool. The grid resource broker dived by the market theory to allocated the right resource to both parts and at the same time make all participant making the maximum profit. • The left layer is the user layer which grid resource request provider the interface to the user with an optional list. • Once the user match one of resource provider with the currently loan rate, the task will submit to the resource provider directly under the audit of the bank. As a grid resource mechanism, the system model makes use of economic model to management grid resource. We assume that the behaviors of grid resource consuming are occasionally and the resources of provider are dynamical states. That is the characters of market. In the grid resource allocated area, we always have to face the NP complete hard problem. How to reduce the matching time between consumer and provider is the key problem. Therefore, we reorganized all possible individually idle resource into bank and make them as a resource pool to the consumer. The basic ideal is that mark off all the resource according to the QoS level and resource type. It will reduce the time and risk of consuming since the grid task have to down different individually resource provider. All the transaction was monitor and audit • by the third part—bank. The new banking based resource allocated resource model need the resource pool under the monitor of the risk control. The new Basel capital[3] accord offers algorithms to judge the level of resource amount. PURPOSE AND HYPOTHESIS • Optimal Makespan: it is a normally and mainly purpose in grid computational. It is the shortest time form the first job lunched to the last one finished, as shorter time as possible[2]. • Quality of Service (QoS): QoS presents requirement of user. During the running time, the grid system has to offer completely QoS of the application for the user • Loading Balancing: For the grid resource scheduling has to face across domain and cosmically application reason, the load balance is a key issue when developing parallel • and distributed computational. • Economic Principle: for the distributed grid resource and it owns different organizations reason, economic-based resource scheduling will lead to win to win between users and providers. CONCLUSIONS AND FUTURE WORK Economic-based modeling could be one of the solutions for the grid resource scheduling. The grid infrastructure offers basic computing components, The banking theory based management will be a good way to deal with distributed and heterogeneous resources. All the parties of the grid computing can follow the real-world baking’s structure to do transaction. This research based on the cost optimal algorithm try to find some essential relationship among all the resources sharing parties. The new algorithm policy will make the entire parties cost minimum. If the entire participants join this game under the General Equilibrium, this new framework will has practicability. The future work will focus on the how to set up a resource functions based on the virtual environment and make all the transaction under the partial equilibrium. The possible way will be deeply study the principles of virtual resource community and find out the basic units of virtual resource. If research successfully gets the essential unit parameters, hopefully, it can set new cost functions for the new grid resource scheduling. Architecture of Banking Based Grid Resource Allocation (BGRA) One Existed Economy Driven Grid Resource Management Architecture[1] BIBLIOGRAPHY [1] Rajkumar Buyya (Mysore Univ.) and M.E. (Bangalore Univ.) the thesis of Economic-based Distributed Resource Management and Scheduling for Grid Computing [2] Foster I, Kesselman C, Nick JM, Tuecke S.Grid service for distributed system integration. IEEE Comput 2002; 35(6): 37–46. [3]Xiaolin Li，Zhithis paperi Xu，Xingwu Liu．Community—Based Model and Access Control for Information Grid, IEEE WIC，International Conference on This paperb Intelligence，Hal—ifax，Canada，2003. Feedback: If you have comments about this poster, email to lihao707@ynu.edu.cn We listen!