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SIGCOMM '92 Conference proceedings on Communications architectures & protocols
Mean-Value Analysis of Closed Multichain Queuing Networks
Journal of the ACM (JACM)
Preserving QoS of e-commerce sites through self-tuning: a performance model approach
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High Performance Cluster Computing: Programming and Applications
High Performance Cluster Computing: Programming and Applications
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Integrating Service Level Agreements: Optimizing Your OSS for SLA Delivery
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Capacity Planning for Web Services: metrics, models, and methods
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VLDB '91 Proceedings of the 17th International Conference on Very Large Data Bases
A method for transparent admission control and request scheduling in e-commerce web sites
Proceedings of the 13th international conference on World Wide Web
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Proceedings of the 5th ACM/IFIP/USENIX international conference on Middleware
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ICDCS '06 Proceedings of the 26th IEEE International Conference on Distributed Computing Systems
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ACM Transactions on Internet Technology (TOIT)
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ACM Transactions on the Web (TWEB)
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ICAC '06 Proceedings of the 2006 IEEE International Conference on Autonomic Computing
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Proceedings of the ACM/IFIP/USENIX 2003 International Conference on Middleware
ACM SIGOPS Operating Systems Review
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Cluster-based multi-tier systems provide a means for building scalable Internet services. Building adaptive Internet services that are able to apply appropriate system sizing and configuration is a challenging objective for nowadays system administrators. This paper addresses two issues for building adaptive Internet services: (i) the control of service cost, performance and availability, three antagonist and primary aspects of Internet services, and (ii) an adaptive control of Internet services that does not shift the complexity of system administration from the Internet service to its controller. This paper presents the design and implementation of MoKa - a middleware for controling performance and availability of cluster-based multi-tier systems. The contribution of the paper is multifold. First, we improve an analytic model to predict the performance, availability and cost of cluster-based multi-tier applications. Second, we define a utility function and use it to build a capacity planning algorithm that calculates the optimal application configuration which guarantees performance and availability objectives while minimizing functioning cost. Finally, we propose a novel approach for dynamic provisioning of multi-tier applications that removes the burden of manual (re-)configuration of the controller itself. Our experiments on the TPC-W multi-tier online bookstore show that MoKa provides significant benefits on application performance and availability.