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Distributed data mining and in particular grid-enabled data mining has become an active area of research and development in recent years. As the amount of available digital electronic data is growing at an unprecedented rate, it is necessary to provide general data mining algorithms that help to leverage grid capacity in supporting high-performance distributed computing for solving their data mining...
Object migration is the movement of objects from one machine to another during execution. It can be used to enhance the efficiency and the reliability of grid systems, such as to balance load distribution, to enable fault resilience, to improve system administration, and to minimize communication overhead. Most existing schemes apply fixed object migration strategies, which are unadaptable to changing...
It is because the resources are geographic distributed, heterogeneous and dynamic in computational grid environments that makes QoS guided scheduling a complex and challenging problem, especially when the tasks have multiple QoS needs. The economic model was applied to solve the resource allocation problem controlled by QoS in grid. Integration function is used to quantitative QoS, which aims to achieve...
Scientific simulation and modeling often aid in making critical decisions in such diverse fields as city planning, severe weather prediction and influenza modeling. In some of these situations the computations operate under strict deadlines, after which point the results may have very little value. In these cases of urgent computing, it is imperative that these computations begin execution as quickly...
MHGrid (meta heuristics grid), a service oriented grid application offering global optimization solvers, allows developers to integrate their solvers and objective functions through an easy-to-use transparent mechanism . As a consequence of offering such a service, MHGrid hosts solvers and objective functions implementing diverse parallelization models leading later to different job grain size. Yet,...
Replication in grid file systems can significantly improve I/O performance of data-intensive grid applications, but its manual creation and placement would be impractical in a real grid environment involving thousands to millions of files accessed per application. Although automatic determination of where and how many replicas should be created should be decided with regards to application access...
A significant influence of heterogeneity and uncertainty of grid environment on quality of DAG schedules results in a search for new approaches. One of them is Internet-based computing scheduling approach and PRIO algorithm for DAG scheduling. In this paper, we present results of a detailed evaluation of the PRIO algorithms in a heterogeneous environment in which schedulers may recognize performance...
Since the introduction of grid computing various efforts were directed towards integrating and combining the grid with SOA technologies. That was mainly motivated by capitalizing on the widely desirable properties of SOA technologies. Nevertheless, the combination of SOA with grid computing in real practice is mainly tangible in the alignment of grid technologies with Web services. Therefore the effects...
We propose a model-based optimization algorithm that determines virtual machine(VM) migration strategies, i.e., which VMs should be migrated to which nodes, while minimizing I/O access costs. We solve this problem as a shortest path problem of a direct acyclic graph which minimizes overall data access costs of target file accesses. Our simulation-based studies suggest that the proposed algorithm can...
In this paper, we examine the problem of minimizing the variance of the download time in a particular Video on Demand System. This VOD system is based on a Grid Delivery Network which is an hybrid architecture based on P2P and Grid Computing concepts. In this system, videos are divided into blocks and replicated on hosts to decrease the average response time. The purpose of the paper is to study the...
In this paper, we present the design and architecture of an interoperable solution in order to transparently and securely access French and Japanese computing resources. The aim is to propose an international sparse linear algebra expert system available through a Web portal where a user can request some analysis on the resolution of a problem involving different kind of matrices, solvers and heuristics,...
Wireless grid is a collection of distributed computing resources such as low-powered mobile, patient monitoring sensors, wired grid and nomadic devices over a wide geographical connectivity that appear to an end-user as one large virtual computing system. The wireless grid has emerged as an attractive platform to tackle various large scale problems or applications, especially in science, medical and...
This paper analyzes grid resources organization, elaborates on the fundamental principles of the ant colony algorithm, and proposes a grid resource discovery method based on the ant colony algorithm. We consider users request ontology as ants, take search resource as food, and food source is the node of search target. The process of ants to find food is similar to the process of discovery grid resources.
Grid Computing aims to allow unified access to data, computing power, sensors and other resources through a single virtual laboratory. The development or adaptation of applications for Grid environments is being challenged by the need of scheduling a large number of tasks and resources efficiently. The general problem of optimally mapping tasks to machines in a heterogeneous computing suite has been...
Since query processing of data integration needs to access data from numerous wide-distributed sources over network, it is crucial to investigate how to deal with the expensive communication overhead. A staged data integration model is introduced for grid environment in this paper. It takes advantage of the abundant computer nodes to process integrated query over a number of highly-distributed and...
Since computation of grids enable the sharing, selection, query and aggregation of geographically distributed resources for solving large-scale problems, developing mechanisms for grid resource scheduling is a complex undertaking problem. We had investigated several famous schedule methods proposed by Nimrod-G, a famous computational economy framework for regulating the supply and demand for resources...
With the emergence of grid technologies, the problem of scheduling tasks in heterogeneous systems has been arousing attention. In this paper, we present two optimization schemes, makespan optimization rescheduling (MOR) and resource optimization rescheduling (ROR), which are based on the QoS Min-Min scheduling technique, for reducing the makespan of a schedule and the need of total resource amount...
In this paper, a job assignment scheme in grid is proposed. It determines the resource trading price between the buyer and the provider based on the auction, finding the optimal job assignment solution based on the immune optimization. Simulation results have shown that it is both feasible and effective.
In the dynamic, heterogeneous and widely distributed grid environment, task scheduling is a complex and challenging problem. Because in DBC algorithm, QoS requests are static, either based on time optimisation, or budget optimisation, resource allocation in grid is irrational. To solve the problem, one QoS model based on benefit function is presented in this paper. Also, two algorithms based on benefit...
Grid structures are increasingly considered as very convergent with peer-to-peer networks. This paper presents a model of network acting both as grid and peer-to-peer network, used for data computation and distribution. Presented PPLC algorithm is a complete solution for both grid and peer-to-peer points of view. Problem formulation is presented, as well as solution heuristic algorithm and research...
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