Pradeep Padala

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Virtualized data centers enable sharing of resources among hosted applications. However, it is difficult to satisfy service-level objectives(SLOs) of applications on shared infrastructure, as application workloads and resource consumption patterns change over time. In this paper, we present AutoControl, a resource control system that automatically adapts to(More)
Data centers are often under-utilized due to over-provisioning as well as time-varying resource demands of typical enterprise applications. One approach to increase resource utilization is to consolidate applications in a shared infrastructure using virtualization. Meeting application-level quality of service (QoS) goals becomes a challenge in a(More)
Server consolidation has become an integral part of IT planning to reduce cost and improve efficiency in today’s enterprise data centers. The advent of virtualization allows consolidation of multiple applications into virtual containers hosted on a single or multiple physical servers. However, this poses new challenges, including choosing the right(More)
To reduce energy wastage by idle desktop computers in enterprise environments, the typical approach is to put a computer to sleep during long idle periods (e.g., overnight), with a proxy employed to reduce user disruption by maintaining the computer’s network presence at some minimal level. However, the Achilles heel of the proxy-based approach is the(More)
The newly emergent cloud computing environments host hundreds to thousands of services on a shared resource pool. The sharing is enhanced by virtualization technologies allowing multiple services to run in different virtual machines (VMs) on a single physical node. Resource overbooking allows more services with time-varying demands to be consolidated(More)
Today’s shared hosting platforms often employ virtualization to allow multiple enterprise applications with time-varying resource demands to share a common infrastructure in order to improve resource utilization. Meeting application-level quality of service (QoS) goals becomes a challenge in such an environment as enterprise applications often have a(More)
Provisioning storage in disk arrays is a difficult problem because many applications with different workload characteristics and priorities share resources provided by the array. Currently, storage in disk arrays is statically partitioned, leading to difficult choices between over-provisioning to meet peak demands and resource sharing to meet efficiency(More)
Rapid advancements in processor and networking technologies have led to the evolution of cluster and grid computing frameworks. These high-performance computing environments exploit geographically distributed, diverse resources with the goal of providing efficient computing solutions to all kinds of parallel and distributed applications. OCEAN (Open(More)
Feedback mechanisms can help today's increasingly complex computer systems adapt to changes in workloads or operating conditions. Control theory offers a principled way for designing feedback loops to deal with unpredictable changes, uncertainties, and disturbances in systems. We provide an overview of the joint research at HP Labs and University of(More)
Most modern hypervisors offer powerful resource control primitives such as reservations, limits, and shares for individual virtual machines (VMs). These primitives provide a means to dynamic vertical scaling of VMs in order for the virtual applications to meet their respective service level objectives (SLOs). VMware DRS offers an additional resource(More)