Nagarajan Kandasamy

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— There is growing incentive to reduce the power consumed by large-scale data centers that host online services such as banking, retail commerce, and gaming. Virtualization is a promising approach to consolidating multiple online services onto a smaller number of computing resources. A virtualized server environment allows computing resources to be shared(More)
— Utility or on-demand computing, a provisioning model where a service provider makes computing infrastructure available to customers as needed, is becoming increasingly common in enterprise computing systems. Realizing this model requires making dynamic, and sometimes risky, resource provisioning and allocation decisions in an uncertain operating(More)
Embedded control applications such as drive-by-wire in cars require dependable interaction between various sensors, processors, and actu-ators. This paper addresses the design of low-cost communication networks guaranteeing to meet both the performance and fault-tolerance requirements of such distributed applications. We develop a fault-tolerant allocation(More)
The increasing heterogeneity, dynamism, and uncertainty of emerging DCE (Distributed Computing Environment) systems imply that an application must be able to detect and adapt to changes in its state, its requirements, and the state of the system to meet its desired QoS constraints. As system and application scales increase, ad hoc heuristic-based approaches(More)
Advanced control and optimization techniques offer a theoretically sound basis to enable autonomic performance management in emerging distributed computing models such as utility computing. To tractably solve performance management problems of interest, including resource allocation and provisioning in such distributed computing environments, we develop a(More)
Computer systems hosting critical e-commerce applications must typically satisfy stringent quality-of-service (QoS) requirements under dynamic operating conditions and workloads. Also, as such systems increase in size and complexity, maintaining the desired QoS by manually tuning the numerous performance-related parameters is becoming increasingly(More)
Dependable computer systems hosting critical commerce , transportation, and military applications, among others, must satisfy stringent quality-of-service (QoS) requirements. However, as these systems become increasingly complex, maintaining the desired QoS by manually tuning the numerous performance-related parameters will be very difficult. This paper(More)
This paper develops a scalable online optimization framework for the autonomic performance management of distributed computing systems operating in a dynamic environment to satisfy desired quality-of-service objectives. To efficiently solve the performance management problems of interest in a distributed setting , we develop a hierarchical structure where a(More)
Efficient and robust data streaming services are a critical requirement of emerging Grid applications, which are based on seamless interactions and coupling between geographically distributed application components. Furthermore the dynamism of Grid environments and applications requires that these services be able to continually manage and optimize their(More)
This paper describes an online control framework to design self-managing distributed computing systems that continually optimize their performance in response to changing computing demands and environmental conditions. An online control technique is used in conjunction with predictive filters to tune the performance of individual system components based on(More)