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In this paper the new grid task attemper is discussed. It join with role layer resource organize, role working flow, role collaboration and grid computing, It can decompose the complicated tactics computational task into little blocks and assign to many computers to complete cooperatively and synchronously, which was originally done by only one computer, such questions as poor speed, high request...
With service level agreements (SLAs) the Grid broker guarantees to finish the Grid jobs by a given deadline. There are a number of approaches, to plan reservations to fulfil these deadline requirements and to handle currently running jobs in the case of a resource failure. However, there is a lack of strategies to handle the already planned but not yet started jobs. These jobs will be most likely...
In resource-limited environment, grid users compete for limited resources, and how to guarantee tasks' victorious probabilities is one of the most primary issues that a resource scheduling model cares. In order to solve grid resources scheduling problems, a novel model, namely ESPSA (Extended Second Price Sealed Auction), is proposed. The ESPSA model introduces an analyst entity, and designs analyst's...
Availability of grid resources is dynamic, which raises the need to develop robust and effective applications against changing circumstances. A major challenge in a distributed dynamic grid is fault tolerance. The more resources and components involved the more complicated and error-prone the system becomes. In a grid with potentially thousands of machines connected to each other, the reliability...
Resource Discovery and Resource Selection are the crucial tasks in grid scheduling and resource management. The goal of resource discovery and selection is to identify list of authenticated resources that are available in the grid for job submission and to choose the best node. Recently adaptive push-pull method was proposed for information dissemination of information for dynamic web data. In this...
Due to Grid computing is enabled by an infrastructure that allows users to locate computing resources and data dynamically during a computation, one of the main challenges in Grid computing is efficient selection of resources to the tasks submitted by users. In order to locate resources dynamically in Grid environment, a Grid application consults a broker or matchmaker agent that uses keywords and...
Fully decentralized resource allocation for P2P desktop Grid allows each participating node to act as both resource provider and requester. The system performance indicators (including throughput, makespan, etc) are easily degraded by the unbalanced load distribution, which is probably caused by the fast-changing states of heterogeneous resources due to arbitrary task submissions. Although the cooperative...
It is not uncommon that grid users observe highly variable performance when they submit similar workloads at different times. From the users' point of view, such inconsistent performance is undesirable, and it leads to user dissatisfaction and confusion. We tackle this performance inconsistency problem using overprovisioning which is increasing the system capacity by a factor that we call the overprovisioning...
Grid and cloud schedulers benefit from predictable service for their choices in allocating jobs on remote servers/clusters. Predictable service on local clusters supports fairness and user satisfaction. The paper looks into servers that employ batch scheduling and support time sharing and/or space partitioning of the available resources among different parallel-job workloads. This provides the basis...
Scheduling plays an important role of mapping interactive simulation tasks onto heterogeneous computing nodes in simulation grid. A multi-objective multi-constrained task scheduling model was established considering the consumption of task load, message interaction between tasks, load of computing nodes, and communication delay. And the problem was solved on basis of genetic algorithm. The experimental...
Grid resource discovery deserve a important role in grid . in the sensor grid resource discovery process, the communication between the sink base on broadcast, thus the flooding algorithms commonly used in grid resource discovery. but the algorithm can easily lead to broadcast storms in the process. In this paper, drawing on small-world network model, proposed a modified flooding algorithm which makes...
Cloud computing paradigm contains many shared resources, such as infrastructures, data storage, various platforms and software. Resource monitoring involves collecting information of system resources to facilitate decision making by other components in Cloud environment. It is the foundation of many major Cloud computing operations. In this paper, we extend the prevailing monitoring methods in Grid...
Grid networks take advantage of the resources available by many computers connected within the network to solve large-scale computational problems. To achieve a scalable and reliable Grid network system, the workload needs to be efficiently distributed among the computing resources accessible on the network. Therefore, a distributed and scalable load-balancing scheme for Grid Networks is proposed...
As the IEEE 1516 standard for distribution simulation, High Level Architecture (HLA) framework does not solve the issues of scalability, dynamic load-balance and fault tolerance. HLA does not support federation migration, which would balance the system workload on heterogeneous distributed resources and consequently improve simulation's performance either. In this paper, a Grid based Advanced Distributed...
To solve the problem of grid resource allocation for tasks, an allocation algorithm based on improved particle swarm optimization was proposed. This algorithm leaded the cross operation, variation operation and select operation of the GA to the Particle Swarm Optimization Algorithm, it effectively overcame the inherent flaw of getting local optimal value by particle swarm algorithm and find the global...
We examine the benefits of a rental based cluster system in supporting high-performance applications. We evaluate the cost of five rental policies and demonstrate how resources from third party external resource providers can be efficiently obtained to accommodate sudden bursts in demand for resources by high performance computing applications. Our evaluation demonstrated that the proposed policies...
Recent advances in wireless sensor networks show an expansion both in the size of the network and in the variety of the applications that are to be executed. In this context, wireless network simulators play a key role in the design, development and testing of new wireless sensor networks applications and protocols. Most of the currently available wireless sensor network simulators work well for small...
Business oriented grids call for effective Quality of Service strategies able to adapt to different user requirements. Performance analyses and predictions with respect to different load conditions or management policies are essential instruments to define such strategies. In this paper, we present a non-Markovian Stochastic Petri Net model that allows to conduct performance analyses of Grid systems...
Accurate grid resources prediction is crucial for a grid scheduler. In this study, support vector regression (SVR), which is an effective regression algorithm, is applied to grid resource prediction. In order to obtain better prediction performance, SVR's parameters must be selected carefully. Therefore, a particle swarm optimization-based SVR (PSO-SVR) model, in which PSO is used to determine free...
In this paper, we focus on a workflow distribution methodology for deploying the workflow enactment functionality over enterprise grid computing environments. The essential idea of the workflow distribution methodology is about how to fragment a workflow model and how to allocate the fragmented workflow models over the workflow enactment infrastructure based upon an enterprise grid computing environment...
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