Browsing by Author "Kim, Seonho"

Now showing 1 - 3 of 3
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    A GA-based Approach for scheduling Decomposable Data Grid Applications
    (2004-02-18) Kim, Seonho; Weissman, Jon
    Data Grid technology promises geographically distributed scientists to access and share physically distributed resources such as compute resource, networks, storage, and most importantly data collections for large-scale data intensive problems. The massive size and distributed nature of these datasets poses challenges to data intensive applications. Scheduling Data Grid applications must consider communication and computation simultaneously to achieve high performance. In many Data Grid applications, Data can be decomposed into multiple independent sub datasets and distributed for parallel execution and analysis. In this paper, we exploit this property and propose a novel Genetic Algorithm based approach that automatically decomposes data onto communication and computation resources. The proposed GA-based scheduler takes advantage of the parallelism of decomposable Data Grid applications to achieve the desired performance level. We evaluate the proposed approach comparing with other algorithms. Simulation results show that the proposed GA-based approach can be a competitive choice for scheduling large Data Grid applications in terms of both scheduling overhead and the quality of solutions as compared to other algorithms.
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    A Security-Enabled Grid System for Distributed Data Mining
    (2007-01-10) Kim, Seonho; Kim, Jinoh; Weissman, Jon
    In this paper, we present a Grid system that enables distributed data mining, exploration and sharing to address issues described above which involve distributed data analysis and multiple ownerships. The system addresses the three main requirements of distributed data mining on Grid: 1) exploitation of geographically and organizationally distributed computing resources to solve data-intensive data mining problem, 2) ensuring the security and privacy of sensitive data, 3) supporting seamless data/computing resource sharing. We present the system architecture, specification of the component services, security consideration, a prototype of the system, and performance evaluation.
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    Supporting the Dynamic Grid Service Lifecycle
    (2004-11-17) Weissman, Jon; Kim, Seonho; England, Darin
    This paper presents an architecture and implementation for a dynamic OGSA-based Grid service architecture that extends GT3 to support dynamic service hosting - where to host and re-host a service within the Grid in response to service demand and resource fluctuation. Our model goes beyond current OGSI implementations in which the service is presumed to be