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Resources in the grid context belong to different control organizations with different interest, therefore the economic interest of each grid participant should be considered. The economic mechanism can guarantee the interest of participants in the grid with fairness and efficiency. In this paper, an economic-based resource management framework is put forward for grid computing, and then how to determine the price of resources with the economic mechanism is studied. A general equilibrium method is presented for general resources and a double auction method is proposed for special resources in the grid environment, respectively. Simulations are performed and experimental results indicate that the two methods are effective for corresponding application scenarios.

The economic mechanism is very suitable for solving the problem of resource management in the grid computing environment, and it can guarantee the interest of participators in the grid with fairness and efficiency. In this paper, we propose an economics-based resource management framework for grid computing, and then we focus on how to determine the price of resources with the economic mechanism. We present a general equilibrium method for general resources and a double auction method for special resources in the grid environment respectively. Simulations are performed and the experimental results indicate that the two methods are effective for corresponding application scenarios.

The computational fluid dynamics (CFD) grid application platform provides a grid environment for CFD applications using high performance computing. It adopts service oriented architecture (SOA), is based on IBM's Service Domain, extends and customizes it for CFD applications in several modules, such as service requesting, job scheduling, job management, failure recovery, etc. By defining general CFD application interfaces such as data format, the platform integrates different CFD applications, including mesh generation, domain decomposition and resolvers, to follow the workflow customized by end-users to finish a complete CFD job. Furthermore, CFD application development specifications and packages are provided to facilitate migrating most sequential and parallel CFD applications to the platform. Currently, a prototype system is available online to the public for testing.

This paper presents a novel high performance computational (HPC) framework for multidisciplinary design optimization (MDO) of aero-craft shapes by using “Grid computing” technology. In this HPC framework, MDO computation is completed by using a genetic algorithm based optimization code and some performance evaluation codes. All those codes in the HPC system are named as “Grid Services” independently. The HPC framework can run on various computers with various platforms, through which computer resources are provided to the designers in the form of services, no matter where those computers are located. Based on this HPC framework the MDO process can be performed interactively. To demonstrate the ability of this HPC framework, a conceptual aero-craft optimization case was described.

Considering dynamic, heterogeneous and autonomous characteristics of computing resources in grid computing systems and the flexibility and effectivity of economics methods applied to solve the problem of resource management, a double auction mechanism for resource allocation on grid computing systems is presented. Firstly, a market model of double auction is described, in which agents are utilized to represent the computational resource traders in the grid environment and are equipped with the reinforcement learning algorithm. Secondly, a double auction mechanism is presented, where the uniform-price auction is adopted aiming at CPU resources, and the transaction fee can be adjusted flexibly. Finally, the efficiency of the presented double auction mechanism is analyzed through experiments, and experimental results show that the presented mechanism is efficient, and the transaction price varies mildly.

Computational Grid and Peer to Peer computing system are interlapping with each other progressively. This paper brings forward a resource model for future large-scale non-hierarchy grid system. With this model we can represent heterogeneous resources sharing relationships. Based on the assumption of power-law degree distribution and result of Lada A. Adamic [20], we find that the unstructured locating algorithms used in P2P system do not suit this resource model. Finally we suggest that it is necessary to classify Grid systems, observe network topology and build classified resource models for different types of Grid system.

Considering the autonomy of resources in the grid environment and based on the service-oriented thought, a resource management system for grid computing can be abstracted to a multi-agent system that consists of service requestor agents, service provider agents and service broker agents. For looking into the interaction characteristics of agents, the formal method is adopted. Firstly, we present an abstract model of agent-based service publication and discovery for resource management in grid computing systems, and specify agent actions with π-calculus in the grid context. Secondly, we define the interaction protocol among agents as processes. Finally, The consistency between agent actions and the interaction protocol is discussed.

A fundamental problem that confronts Shanghai Information Grid is to adopt a good Grid toolkit, since the “de facto” standard Globus Toolkit does not support Information Grid well enough. We have developed an OGSA-compatible Grid Middleware, Shanghai Information Grid Toolkit (IGT), which is optimized for Information Grid. Some important new features are provided in IGT: a small and fast core supported by self-developed standalone lightweight server program as hosting environment; extended Grid security infrastructure with additional security rules for Information Grid; information resource services used to manage and control remote information resources; lightweight monitoring and discovery service and enhanced index services employed in information services.

Web service is a grid computing technology that promises greater ease-of-use and interoperability than previous distributed computing technologies. In this paper we propose Group Service Framework(GSF), a grid problems solving environment based on Microsoft .NET, to: (1) locate and harness volunteer computing resources, and (2) support multi parallel programming paradigms such as Master/Slave, Divide and Conquer, Phase Parallel and so forth in Grid environment, (3) allocate tasks and realize load balancing dynamically and transparently for different grid application.