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In e-Science environment researchers intend to be informed of events related with their works, including the current states of computing services, service workload and so on. So it is necessary to provide a Publish/Subscribe System in e-Science environment. Also there are some issues in Broker Management in Publish/Subscribe System, such as the abnormal breakdown and the overload of broker. An effective...
In e-science environment researchers can submit complex tasks as scientific workflows. However, because the network may be blocked or even interrupted sometimes, it can hinder the researchers to submit tasks, as well as the overload on the server. Additionally, many tasks submitted by researchers may use the same resources, which may result in the overload of the specific resources. Meanwhile, some...
Computational Chemistry as a data-intensive application involves the geographically dispersed extraction of complex data information from very large collections of measured or computed data. And many chemists from different domains have to work together to explore, query, analyze, visualize and process large-scale heterogeneous data sets. Therefore, in order to address these challenges, we present...
A key step for grid service composing rests with the selection of the individual service. A two layered mixed trust model (TLMTM) for grid service selection based on automated trust negotiation ATN is presented. The model combines trust mechanism with ATN. The upper layer of TLMTM is the service composition trust template (SCTT) that it can ensure those services with the higher trust value to be selected,...
The grid technology enables large-scale sharing and collaboration use of networked resource. Using P2P technology, grid system can have better scalability and dynamic. OGSA provides a framework for integrating P2P technology into grid system. However, grid resource discovery is a key issue for P2P grid. In this paper, a novel model based on P2P technology, is proposed to discovery grid resource efficiently...
Before the emergence of the concept e-science, applications and resources in research and scientific areas have existed as grid applications. In order to use the already existing applications and resources efficiently in e-science, an urgent problem to the "grid people" is how to integrate those heritage grid systems as the grid-based applications. There are many grid applications are well...
Grid computing and peer-to-peer computing are both hot topics at present. The convergence of the two systems is increasingly visible, and OGSA provides a framework for integrating grid and peer to peer. However, grid resource discovery is a key issue for peer-to-peer grid. In contrast with the traditional grid resource discovery algorithm, genetic ant algorithm firstly uses genetic algorithm to find...
Based on service-oriented grid environment,the paper put forward a method of resource reservation which to construct a resource reservation tree(RRT).If the resource reserved before turns into invalidation, the substitute can be found directly in RRT and needn 't to initiate a process of discovery and negotiation again. The method can avoid a failure of resource reservation and advance its reliability...
Classical approaches to implement Grid resource information service (GRIS) are either centralized or hierarchical. It will result in problems of scalability and single point of failure as the scale of Grid systems rapidly increases. To address scalability and reliability of Grid Resource Information Service, we proposed a distributed resource information service model that extends the information...
Resource discovery is the key requirements in large heterogeneous Grid environments, and an effective and efficient resource discovery mechanism is crucial. However, the complicated and dynamic characteristics of grid resources make sharing and discovering them a challenge. In this paper, a novel model, in which agent and semantic are integrated, is proposed to discovery grid resource efficiently...
For the heterogeneous and dynamic nature of grid environments, the ability to accurately and timely predict future capabilities of resources is very important. Autoregressive models are appropriate and much less expensive for predicting host load, but Autoregressive modeling includes a model identification procedure, that is, it is necessary to choose the order that best describes the host load variety...
We designed a grid computing model in math based on current network computing technologies. MICE is an emerging technology to provide uniform programming, task submission, and management specifications across the large scale distributed computing nodes which deployed some famous mathematical software. MICE utilizes a three-level architecture that shields users from low-level computing resource discovery...
The problem of how to allocate the resources optimally and adaptively in the dynamic, scalable and distribute-controlled grid environment is introduced and discussed numerously. But recent researches can't satisfy with the needs of resource allocation in grid system thoroughly. In this paper, we use the SuperScheduling concept in grid system, which is with no explicit model. And we introduce ant colony...
In grid computing, resource management has been paid a great deal of attention. Market-based mechanisms such as auctions are being studied as an appropriate means. In order to promote the user transaction positivity it is required to manage the bidding policy of the agent. Therefore, we introduce the budget factor and risk factor in auction mechanism for grid resource management. On one hand, the...
Grid computing technologies have played an important role in both scientific and commercial communities. Initially, grid applications were concerned principally on the storage, replication and movement of file-based data, but now they are increasingly being used in many relative areas of e-Science and e-Business. The need for data access and integration becomes widely aware. In this paper, the Muse...
Efficient scheduling has emerged as a fundamental problem in grid computing systems. Since finding an optimal scheduling on the system to minimize the program completion time is a well-known NP-complete problem in general, researchers have resorted to devising efficient heuristics. In this paper, we present a dynamic scheduling heuristic which is appropriate for the grid computing systems, with the...
Grids aim at exploiting synergies that result from cooperation of autonomous distributed entities. For this cooperation to be sustainable, participants need to have economic incentive. Within service-oriented Grids, resources may be advertised and traded as services, and QoS requirement is the most important attribute. In this paper, we build on two intellectual threads: market-based approaches and...
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