Resource allocation optimization for quantitative service differentiation on server clusters
Journal of Parallel and Distributed Computing
Using the fuzzy-ellipsoid method for robust estimation of the state of a grid system node
Cybernetics and Systems Analysis
Adaptive fair resource management with an arbiter for multi-tier computing systems
ETFA'09 Proceedings of the 14th IEEE international conference on Emerging technologies & factory automation
Adaptive internet services through performance and availability control
Proceedings of the 2010 ACM Symposium on Applied Computing
Automated control of Internet services
Proceedings of the Fifth International Workshop on Feedback Control Implementation and Design in Computing Systems and Networks
Automated control of internet services
ACM SIGOPS Operating Systems Review
Journal of Network and Computer Applications
URL: A unified reinforcement learning approach for autonomic cloud management
Journal of Parallel and Distributed Computing
Regression-based resource provisioning for session slowdown guarantee in multi-tier Internet servers
Journal of Parallel and Distributed Computing
An adaptive model-free resource and power management approach for multi-tier cloud environments
Journal of Systems and Software
Adaptive response time control for metadata matching in information dissemination systems
Journal of Systems Architecture: the EUROMICRO Journal
Towards transparent and distributed workload management for large scale web servers
Future Generation Computer Systems
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The need for service differentiation in Internet services has motivated interest in controlling multi-tier web applications. This paper describes a tier-to-tier (T2T) management architecture that supports decentralized actuator management in multi-tier systems, and a testbed implementation of this architecture using commercial software products. Based on testbed experiments and analytic models, we gain insight into the value of coordinated exploitation of actuators on multiple tiers, especially considerations for control efficiency and control granularity. For control efficiency, we show that more effective utilization of tiers can be achieved by using actuators on the bottleneck tier rather than only using actuators on the entry tier. For granularity of control (the ability to achieve a wide range of service level objectives) we show that a fine granularity of control can be achieved through a coordinated, cross-tier exploitation of coarse grained actuators (e.g., multiprogramming level), an approach that can greatly reduce controllerinduced variability.