Conflict Resolution Based on Collaborative Design of Grid Services

To the issues of low efficiency of conflict resolution method in collaborative design, we proposed a method, which is conflict resolution about collaborative design based on grid services.It uses the grid services from the current design points, uses the method of retrospective thinking to find the conflict point by detecting, and then uses the corresponding method to resolve the conflict point according to the conflict characteristic, after that carried on the conflict detection again. If there is still the conflict, resolve the conflict point again, until the conflict no longer exists. This method combines various traditional resolution methods, makes full use of the grid idle high-performance large-scale sharing resources. With this method the collaborative design conflict resolution cost reduced and the conflict resolution efficiency was raised. And then the problem which is not handled completely was then solved, so that the conflict resolution Quality was guaranteed.

A Component Mining Approach to Incubate Grid Services in Object-Oriented Legacy Systems

This paper describes an approach for Grid service component mining in object-oriented legacy systems, applying software clustering, architecture recovery, program slicing and wrapping techniques to decompose a legacy system, analyse the concerned components and integrate them into a Grid environment. The resulting components with core legacy code function in a Grid service framework.

Intelligent Deer Hunting Optimization Based Grid Scheduling Scheme

The grid environment is a dynamic,heterogeneous,and changeable computing system that distributes various services amongst different clients.To attain the benefits of collaborative resource sharing in Grid computing,a novel and proficient grid resource management system(RMS)is essential.Therefore,detection of an appropriate resource for the presented task is a difficult task.Several scientists have presented algorithms for mapping tasks to the resource.Few of them focus on fault tolerance,user fulfillment,and load balancing.With this motivation,this study designs an intelligent grid scheduling scheme using deer hunting optimization algorithm(DHOA),called IGSS-DHOA which schedules in such a way that the makespan gets minimized in the grid platform.The IGSS-DHOA technique is mainly based on the hunting nature of humans toward deer.It also derives an objective function with candidate solution(schedule)as input and the outcome is the makespan value denoting the quality of the candidate solution.The simulation results highlighted the supremacy of the IGSS-DHOA technique over the recent state of art techniques with the minimal average processing cost of 31717.9.

A Transaction Management Model Supporting Service Grids

Service grids possess the features of intelligence and automation to compose heterogeneous resources and will be a commercial focus in network economy pattern. However, service grid business is loosely-coupled, distributed and long-running, so there is a real challenge for the researchers to provide consistency and reliability for service grid business. This paper references the transaction management methods in Web service and the safepoint concept in workflow system, combines with the feature of the service grid, and then presents a transaction management model based on service grid. This model guarantees the robustness of grid service composition and assures that service grid enabling system provides consistent and reliable results for the consumers. Key words service grid - transaction - coordination framework - coordination protocol - recovery - salepoint CLC number TP 393 Foundation item: Supported by the High Technology Research and Development Program of China (2003AA414210) and National Natural Science Foundation of China (60173051)Biography: CHEN Xiang-yu (1979-), female, Master candidate, research direction: Web service, grid, distributed system.

Coordination-theoretic approach to modelling grid service composition process

A grid service composite process is made up of complex coordinative activities.Developing the appropriate model of grid service coordinative activities is an important foundation for the grid service composition.According to the coordination theory,this paper elaborates the process of the grid service composition by using UML 2.0,and proposes an approach to modelling the grid service composition process based on the coordination theory.This approach helps not only to analyze accurately the task activities and relevant dependencies among task activities,but also to facilitate the adaptability of the grid service orchestration to further realize the connectivity,timeliness,appropriateness and expansibility of the grid service composition.

Phosphorus:光子网格的分布式控制平面技术(英文)

G2MPLS is a Network Control Plane(NCP) architecture that implements the concept of Grid Network Services(GNS) required for implementing photonic Grids.It provides part of the functionalities related to the selection,co-allocation and maintenance of both Grid and network resources through a set of seamless procedures at the user-to-network and inter-domain boundaries.G2MPLS' main features and procedures are presented in this document,as well as the considerations to deploy it and facilitate its dissemination.

Energy Management and Operational Control Methods for Grid Battery Energy Storage Systems

Energy storage is one of the key means for improving the flexibility,economy and security of power system.It is also important in promoting new energy consumption and the energy Internet.Therefore,energy storage is expected to support distributed power and the micro-grid,promote open sharing and flexible trading of energy production and consumption,and realize multi-functional coordination.In recent years,with the rapid development of the battery energy storage industry,its technology has shown the characteristics and trends for large-scale integration and distributed applications with multi-objective collaboration.As a grid-level application,energy management systems(EMS)of a battery energy storage system(BESS)were deployed in real time at utility control centers as an important component of power grid management.Based on the analysis of the development status of a BESS,this paper introduced application scenarios,such as reduction of power output fluctuations,agreement to the output plan at the renewable energy generation side,power grid frequency adjustment,power flow optimization at the power transmission side,and a distributed and niohile energy storage system at the power distribution side.The studies and application status of a BESS in recent years were reviewed.The energy management,operation control methods,and application scenes of large-scale BESSs were also examined in the study.

A Solution of Grid Computing Flow Using MDA Methodology

This paper presents an approach to build a flow of grid services named GFlow. This approach converts all of the services＇ interfaces in globus toolkit 3 into platform independent model format. The conversion uses eclipse modeling framework plug-ins and graphical editing framework plug-ins to parse the models into platform specific models, which are responsible for implementation of grid services＇ clients and servers and their automatic deployment. This paper emphasizes on design method, which uses model drive architecture, and design process, which uses model-view-control.

CROWN:A service grid middleware with trust management mechanism

Based on a proposed Web service-based grid architecture, a service grid middleware system called CROWN is designed in this paper. As the two kernel points of the middleware, the overlay-based distributed grid resource management mechanism is proposed, and the policy-based distributed access control mechanism with the capability of automatic negotiation of the access control policy and trust management and negotiation is also discussed in this paper. Experience of CROWN testbed deployment and application development shows that the middleware can support the typical scenarios such as computing-intensive applications, data-intensive applications and mass information processing applications.

Automatic Transaction Compensation for Reliable Grid Applications

Abstract As grid technology is expanding from scientific computing to business applications, service oriented grid computing is aimed at providing reliable services for users and hiding complexity of service processes from them. The grid services for coordinating long-lived transactions that occur in business applications play an important role in reliable grid applications. In this paper, the grid transaction service （GridTS） is proposed for dealing with long-lived business transactions. We present a compensation-based long-lived transaction coordination algorithm that enables users to select results from committed sub-transactions. Unlike other long-lived transaction models that require application programmers to develop corresponding compensating transactions, GridTS can automatically generate compensating transactions on execution of a long-lived grid transaction. The simulation result has demonstrated the feasibility of GridTS and effectiveness of the corresponding algorithm.

Formal verification technique for grid service chain model and its application

Ensuring the correctness and reliability of large-scale resource sharing and complex job processing Is an Important task for grid applications. From a formal method perspective, a grid service chain model based on state PI calculus Is proposed In this work as the theoretical foundation for the service composition and collaboration in grid. Following the Idea of the Web Service Resource Framework （WSRF）, state PI calculus enables the life-cycle management of system states by associating the actions in the original PI calculus with system states. Moreover, model checking technique is exploltad for the design-time and run-time logical verification of grid service chain models. A grid application scenario of the dynamic analysis of material deformation structure is also provided to show the effectiveness of the proposed work.

Distributed GEP query optimization on grid service

In order to better solve the problem of distributed query optimization, a query optimization algorithm on gene expression programming （GEP） （QO-GEP） is presented. On the basis of QO-GEP, distributed GEP query optimization on grid service （DGEPQO-GS） is proposed which combines grid service. Simulated experiments show that with the increment of the number of query relation, query time which QO-GEP carries out query decreases apparently. Meanwhile, with the increase of the number of grid nodes, the average querying success rate of DGEPQO-GS increases significantly.

Distributed reduction algorithm on grid service

Pretreatment of mass and high dimensional data for users plays an important role for data mining in grid environment. To solve optimal reduction effectively, a distributed reduction algorithm on grid service is present. It combines grid services with a novel reduction algorithm on gene expression programming （GEP） （RA-GEP）. Simulation experiments show that for mass or high dimensional data sets, the proposed algorithm has advantages in terms of speed and quality in contrast with traditional attribution reduction algorithms on intelligence computing.

Design and Implementation of NAREGI SuperScheduler Based on the OGSA Architecture

NAREGI is a 5-year Japanese National Grid Project during 2003--2007, whose chief aim is to develop a set of grid middleware to serve as a basis for future e-Science. NAREGI also aims to lead the way in standardization of grid middleware, based on the OGSA architecture. Its super-scheduler is based on the proposed OGSA-EMS Architecture, in that it becomes the first working implementation that implements the documented component relationships within the OGSA-EMS architecture document v.l.0. Through the efforts and experience in the design and implementation, it has been confirmed that the documented OGSA-EMS architecture is quite feasible, but will require significant amount of refinement and speed improvements to finalize its detailed specifications. The super-scheduler also supports co-allocation across multiple sites to support automated execution of grid-based MPIs that execute across machines. Such a resource allocation requires sophisticated interactions between the OGSA-EMS components not covered in the current OGSA-EMS architecture, some of which are non-trivial. Overall, job scheduling with OGSA-EMS has proven to not only work, but also that its job allocation and execution time is within reasonable bounds.

A digital earth prototype system:DEPS/CAS

Digital Earth is an information expression of the real Earth,and is a new way of understanding the Earth in the twenty-first century.This paper introduces a Digital Earth Prototype System(DEPS)developed at the Chinese Academy of Sciences(CAS)and supported by the Knowledge Innovation Program of the Chinese Academy of Sciences.Discussions are made to the theoretical model and technical framework of the Digital Earth,and its related key technologies on spatial information processing,spatial data warehouse technology,virtual reality technology,high-performance and parallel computing.The DEPS consists of seven sub-systems including the spatial data,metadata,model database,Grid geoscience computing,spatial information database,maps service and virtual reality.Meanwhile,we developed a series of application systems such as the environment monitoring for the Olympic Games 2008 in Beijing,natural disasters evaluation,digital city,digital archeology,Asia regional aerosol and climate change.The DEPS/CAS displayed the application ability and potential of the Digital Earth in three levels:the global,national and regional.

Client-Centric Adaptive Scheduling of Service-Oriented Applications

The paper proposes a client-centric computing model that allows for adaptive execution of service-oriented applications. The model can flexibly dispatch application tasks to the client side and the network side, dynamically adjust an execution scheme to adapt to environmental changes, and thus is expected to achieve better scalability, higher performance and more controllable privacy. Scheduling algorithms and the rescheduling strategies are proposed for the model. Experiments show that with the model the performance of service-oriented application execution can be improved.