Darin England

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Large-scale distributed applications are subject to frequent disruptions due to resource contention and failure. Such disruptions are inherently unpredictable and, therefore, robustness is a desirable property for the distributed operating environment. In this work, we describe and evaluate a robust topology for applications that operate on a spanning tree(More)
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(More)
— We present an analysis of the costs and benefits of load sharing of parallel jobs in the computational grid. We begin with a workload generation model that captures the essential properties of parallel jobs and use it as input to a grid simulation model. Our experiments are performed for both homogeneous and heterogeneous grids. We measured average job(More)
This project addresses the problem of dynamic service adaptation in the grid. The need for adaptation arises due to both resource and service demand uncertainty. With NGS support, we are tackling several key issues in this problem space: (1) a dynamic OGSA-based grid service architecture to support dynamic service hosting - where to host and re-host a(More)
Scheduling strategies for parallel and distributed computing have mostly been oriented toward performance, while striving to achieve some notion of fairness. With the increase in size, complexity, and heterogeneity of today's computing environments, we argue that, in addition to performance metrics, scheduling algorithms should be designed for robustness.(More)
This paper presents a new paradigm for parallel job scheduling called integrated scheduling or iScheduling. The iScheduler is an application-aware job scheduler as opposed to a general-purpose system scheduler. It dynamically controls resource allocation among a set of competing applications, but unlike a traditional job scheduler, it can interact directly(More)
We introduce a formal model for deployment and hosting of a dynamic grid service wherein the service provider must pay a resource provider for the use of computational resources. Our model produces policies that balance the number of required resources with the desire to keep the cost of hosting the service to a minimum. The two components of cost that we(More)
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