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Performance Isolation: Sharing and Isolation in Shared-Memory Multiprocessors (1998)
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| Venue: | In Proceedings of ASPLOS-VIII |
| Citations: | 61 - 3 self |
BibTeX
@INPROCEEDINGS{Verghese98performanceisolation:,
author = {Ben Verghese and Anoop Guptag and Mendel Rosenblum},
title = {Performance Isolation: Sharing and Isolation in Shared-Memory Multiprocessors},
booktitle = {In Proceedings of ASPLOS-VIII},
year = {1998},
pages = {181--192}
}
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Abstract
Shared-memory multiprocessors (SMPs) are being exten-sively used as general-purpose servers. The tight coupling of multiple processors, memory, and I/O provides enormous computing power in a single system, and enables the effi-cient sharing of these resources. The operating systems for these machines (UNIX or Win-dows NT) provide very few controls for sharing the resources of the system among the active tasks or users. This unconstrained sharing model is a serious limitation for a server because the load placed by one user can adversely affect other users ’ performance in an unpredictable manner. We show that this lack of isolation is caused by the resource allocation scheme (or lack thereof) carried over from single-user workstations. Multi-user multiprocessor systems require more sophisticated resource management, and we show how the proposed “performance isolation ” scheme can address the current weaknesses of these systems. We have implemented performance isolation in the Silicon Graphics IRIX operating system for three important system resources: CPU time, memory, and disk bandwidth. Running a number of workloads we show that our proposed scheme is success-ful at providing workstation-like isolation under heavy load, SMP-like latency under light load, and SMP-like throughput in all cases. 1.
Keyphrases
performance isolation shared-memory multiprocessor single system serious limitation smp-like throughput active task win-dows nt resource allocation scheme unpredictable manner effi-cient sharing performance isolation scheme user performance current weakness cpu time workstation-like isolation important system resource smp-like latency multiple processor general-purpose server heavy load operating system multi-user multiprocessor system sophisticated resource management silicon graphic irix disk bandwidth light load single-user workstation tight coupling
