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In order to process service failure quickly, a new failure recovery for service supporting context persistence named G-FRF is given, which is based on the existing failure recovery frameworks for Web Services. Failure recovery requirements of manager job services in grid computing are taken into account in the framework. during normal execution, service state is monitored and context is saved. When...
This paper presents a model, implementation and performance evaluation of a class loader for Java Platform entirely based on web services (WSBCL). Designed to address the needs of desktop grid computing middle wares, WSBCL can be integrated and used by any Java solution for distributed systems. This class loader allows low computational power devices to act in the role of class repository without...
We present a web-based Grid job submission system which combines open-source software components and available system services freeing developers from having to deal with Grid middleware, credential management and user authentication. Instead, a Short Lived Credential Service provides the necessary user certificates, while Grisu libraries, developed by the Australian Research Collaboration Service,...
The lack of license management schemes in distributed environments is becoming a major obstacle for the commercial adoption of Grid or Cloud infrastructures. In this paper, we present a complete license management architecture that enables a pay-per-use license management which can be deployed together with an on-demand computing scenario. Our architecture enables authenticated access to a remote...
One major problem faced by end-users and administrators of computational grid environments arise in connection with the usability of the security mechanisms usually deployed in these environments, in particular identity management. Many of the existing computational grid environments use Public Key Infrastructure (PKI) and X.509 digital certificates as a corner stone for their security architectures...
The execution of complex processes defined as workflows in the Grid environment is often exposed to failures. The problems that can appear and that will lead to an execution failure are system heterogeneity, overloaded resources such as ones at the WMS level, inaccessible services or components, and as well communication links among Grid nodes. Workflow management and execution systems must be able...
Technology is advancing rapidly and the demand and expectation is getting higher, that current monolithic client-server and peer-to-peer e-learning systems can no longer tolerate. Distributed e-learning systems, on the other hand, have the potential to address many shortcomings of current e-learning systems. Distributed systems are mainly based on Web-services or alternatively the Grid. The purpose...
The interoperability of e-Science infrastructures like DEISA/PRACE and EGEE/EGI is an increasing demand for a wide variety of cross-Grid applications, but interoperability based on common open standards adopted by Grid middleware is only starting to emerge and is not broadly provided today. In earlier work, we have shown how refined open standards form a reference model, which is based on careful...
Grid system is a promising solution for sharing distributed resources of registered participants to perform tasks whose demands may exceed the capacity of individual participating organization. However, the collaborative aspect of Grids is still underdeveloped as they lack features and mechanisms for human interaction and collaboration. This paper presents the design and development of a prototype...
Surface acoustic wave (SAW) gas sensors based on PANI (polyaniline) is studied experimentally and theoretically to overcome the Low sensitivity, high working temperature and high cost of the traditional CO gas sensors. The sensor networks system required that sensors have some function of Grid computing. In this paper, we discuss a model for interfacing sensors to grid computing and show how to use...
Handheld devices such as mobile phone and PDA have become widespread in every areas of life. In higher education context, these devices can be transformed into mobile learning tools which students can use to download and study learning materials anytime and anywhere. MAVGRID is designed as a system that support ubiquitous learning environment or m-Learning (Mobile Learning) environment. It uses Grid...
Storage plays an important role in sufficing the requirements of data intensive applications in a Grid computing environment. Current Scientific applications perform complex computational analysis, and consume/produce hundreds of terabytes of data. The authors in this paper have surveyed available data grid solutions, viz., Storage Resource Broker (SRB), Grid File System (GFS), Storage Resource Manager...
To attract more users to commercially available computing, services have to specify clearly the charges, duties, liabilities and penalties in service level agreements (SLAs). In this paper, we build on our existing work in SLAs by making easy measurements for a specific application run within a commercial cloud. An outcome of this work is that certain application may run better than in a grid or HPC...
The paper, combining the basic principle and architecture of grid technology as well the combined application in grid fault diagnosis expert system, puts forward the application scheme of EJB component in grid fault diagnosis system. The paper designs the grid service layer based on OGSA, and discusses the application methods of grid for fault diagnosis expert system. The fault diagnosis grid framework...
With the increasing of space resources on the Internet, we need a higher demand on the spatial data sharing and knowledge discovery for the heterogeneous distributed data, but the WebGIS only can provide the parts of space resources sharing. In order to solve this problem, in this paper we put forward a solution which used for the spatial data mining and knowledge discovery in the grid environment,...
This paper proposes an intelligent learning management system with load-balancing function based on Grid structure that allows for the replication of learning materials and balance of network traffic. The system consists of the Learning Management System (LMS) for processing basic data, learning data and learning records of learners, and the Learning Content Management Systems (LCMS) based on the...
A grid environment is a collection of a large number of geographically distributed resources managed by various organizations. And it is considered as a powerful computing infrastructure to solve large and complex problems. To support the software development, until now, many grid programming languages have been investigated. Most of them use proprietary protocols or TCP-based protocols to communicate...
The Barn project, a spatial data grid prototype under development currently, provides a grid environment for applications of the nationwide geological survey data. Within Barn, in order to reduce data access latency, avoid a single point of failure, and increase the performance and load-balance of the system, we have designed and implemented a set of replica management services. These services, based...
Heterogeneous data integration plays an important role in the information management system (IMS). Traditional IMS have low integration degree and are difficult to adapt to dynamic changes of databases flexibly. In this paper, we propose a grid service framework for heterogeneous data integration. This framework consists of three layers, including data service layer, data integration layer and data...
The size of grid systems has increased substantially in the last decades. Resource discovery in grid systems is a fundamental task which provides searching and locating necessary resources for a given process. Various different approaches are proposed in literature for this problem. Grid resource discovery using Web services is an important approach which has resulted in many tools to become de facto...
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