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A Distributed Resource Management Architecture that Supports Advance Reservations and Co-Allocation
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@MISC{Foster_adistributed,
author = {Ian Foster and Carl Kesselman and Craig Lee and Bob Lindell and Klara Nahrstedt and Alain Roy},
title = { A Distributed Resource Management Architecture that Supports Advance Reservations and Co-Allocation},
year = {}
}
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Abstract
The realization of end-to-end quality of service (QoS) guarantees in emerging network-based applications requires mechanisms that support first dynamic discovery and then advance or immediate reservation of resources that will often be heterogeneous in type and implementation and independently controlled and administered.We propose the Globus Architecture for Reservation and Allocation (GARA) to address these four issues.GARA treats both reservations and computational elements such as processes, network flows, and memory blocks as first class entities, allowing them to be created, monitored, and managed independently and uniformly.It simplifies management of heterogeneous resource types by defining uniform mechanisms for computers, networks, disk, memory, and other resources. Layering on these standard mechanisms, GARA enables the construction of application-level co-reservation and coallocation libraries that applications can use to dynamically assemble collections of resources, guided by both application QoS requirements and the local administration policy of individual resources.We describe a prototype GARA implementation that supports three different resource types— parallel computers, individual CPUs under control of the Dynamic Soft Real-Time scheduler, and Integrated Services networks—and provide performance results that quantify the costs of our techniques.
Keyphrases
advance reservation distributed resource management architecture network flow local administration policy prototype gara implementation globus architecture application-level co-reservation integrated service network first class entity heterogeneous resource type immediate reservation application qos requirement individual cpu performance result coallocation library memory block dynamic soft real-time scheduler computational element dynamic discovery standard mechanism end-to-end quality assemble collection individual resource network-based application uniform mechanism different resource type parallel computer
