Cello: a disk scheduling framework for next generation operating systems
SIGMETRICS '98/PERFORMANCE '98 Proceedings of the 1998 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
Managing energy and server resources in hosting centers
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Performance Guarantees for Web Server End-Systems: A Control-Theoretical Approach
IEEE Transactions on Parallel and Distributed Systems
Kernel Mechanisms for Service Differentiation in Overloaded Web Servers
Proceedings of the General Track: 2002 USENIX Annual Technical Conference
A Feedback Control Approach for Guaranteeing Relative Delays in Web Servers
RTAS '01 Proceedings of the Seventh Real-Time Technology and Applications Symposium (RTAS '01)
End-to-End Utilization Control in Distributed Real-Time Systems
ICDCS '04 Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS'04)
Controlling the performance of 3-tiered web sites: modeling, design and implementation
Proceedings of the joint international conference on Measurement and modeling of computer systems
The Applicability of Adaptive Control Theory to QoS Design: Limitations and Solutions
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 15 - Volume 16
Integrated resource management for cluster-based internet services
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
Façade: Virtual Storage Devices with Performance Guarantees
FAST '03 Proceedings of the 2nd USENIX Conference on File and Storage Technologies
Controllable fair queuing for meeting performance goals
Performance Evaluation - Performance 2005
Quorum: flexible quality of service for internet services
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
Adaptive overload control for busy internet servers
USITS'03 Proceedings of the 4th conference on USENIX Symposium on Internet Technologies and Systems - Volume 4
Online response time optimization of Apache web server
IWQoS'03 Proceedings of the 11th international conference on Quality of service
A practical learning-based approach for dynamic storage bandwidth allocation
IWQoS'03 Proceedings of the 11th international conference on Quality of service
A self-tuning fuzzy control approach for end-to-end QoS guarantees in web servers
IWQoS'05 Proceedings of the 13th international conference on Quality of Service
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Networked computer services are increasingly hosted on shared consolidated physical resources (servers, storage, network) in data centers. Thus, some form of resource control is required to ensure contractual performance targets for service customers under dynamic workload and system conditions. This paper proposes a solution for resource control that maximizes the yield of the performance contracts given the available physical resources, while it does not require any modifications to the clients' and the computing services' software or hardware. Our approach achieves this by manipulating the flow of requests into the service by using one or more proxies between the clients and the service. This paper evaluates Proteus, a prototype implementation of the proposed approach, on two different services: a 3-tier e-commerce system and a networked file service. We show that existing proxies for the two respective protocols (HTTP and NFS RPC) can easily be modified to use Proteus to schedule their requests. Once the modified proxies have been deployed, our approach is transparent to clients and services. Moreover, we show that, in contrast to prior art, our solution (1) is stable when workloads and systems change, (2) automatically tunes itself to different services, (3) can enforce flexible quality of service specifications, and (4) correctly detects and reacts to contention of internal service resources.