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Timothy Wood

Researcher at George Washington University

Publications -  97
Citations -  8190

Timothy Wood is an academic researcher from George Washington University. The author has contributed to research in topics: Virtual machine & Cloud computing. The author has an hindex of 35, co-authored 90 publications receiving 7615 citations. Previous affiliations of Timothy Wood include Rutgers University & University of Massachusetts Amherst.

Papers
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Journal ArticleDOI

Sandpiper: Black-box and gray-box resource management for virtual machines

TL;DR: Sandpiper is a system that automates the task of monitoring and detecting hotspots, determining a new mapping of physical to virtual resources, resizing virtual machines to their new allocations, and initiating any necessary migrations, and it is shown that the gray-box approach can help Sandpiper make more informed decisions, particularly in response to memory pressure.
Proceedings ArticleDOI

CloudNet: dynamic pooling of cloud resources by live WAN migration of virtual machines

TL;DR: The CloudNet architecure is presented as a cloud framework consisting of cloud computing platforms linked with a VPN based network infrastructure to provide seamless and secure connectivity between enterprise and cloud data center sites to realize the vision of efficiently pooling geographically distributed data center resources.
Proceedings ArticleDOI

Profiling and modeling resource usage of virtualized applications

TL;DR: An automated model generation procedure effectively characterizes the different virtualization overheads of two diverse hardware platforms and that the models have median prediction error of less than 5% for both the RUBiS and TPC-W benchmarks.
Patent

Methods and apparatus to migrate virtual machines between distributive computing networks across a wide area network

TL;DR: In this paper, a data link is established across a wide area network between a first distributive computing network and a second distributional computing network, and the virtual machine is migrated via the data link by transmitting a memory state of at least one application on the first host to the second host while the application is operating.
Proceedings Article

Disaster recovery as a cloud service: economic benefits & deployment challenges

TL;DR: It is argued that cloud computing platforms are well suited for offering DR as a service due to their pay-as-you-go pricing model that can lower costs, and their use of automated virtual platforms that can minimize the recovery time after a failure.