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Cognitive Radio: Brain-Empowered Wireless Communications

by Simon Haykin , 2005
"... Cognitive radio is viewed as a novel approach for improving the utilization of a precious natural resource: the radio electromagnetic spectrum. The cognitive radio, built on a software-defined radio, is defined as an intelligent wireless communication system that is aware of its environment and use ..."
Abstract - Cited by 1541 (4 self) - Add to MetaCart
the discussion of interference temperature as a new metric for the quantification and management of interference, the paper addresses three fundamental cognitive tasks. 1) Radio-scene analysis. 2) Channel-state estimation and predictive modeling. 3) Transmit-power control and dynamic spectrum management

Adaptive control of virtualized resources in utility computing environments

by Pradeep Padala, Kang G. Shin, Xiaoyun Zhu Mustafa, Uysal Zhikui Wang, Sharad Singhal Arif, Kenneth Salem - In European Conference on Computer Systems , 2007
"... Data centers are often under-utilized due to over-provisioning as well as time-varying resource demands of typical enter-prise applications. One approach to increase resource uti-lization is to consolidate applications in a shared infrastruc-ture using virtualization. Meeting application-level quali ..."
Abstract - Cited by 157 (8 self) - Add to MetaCart
in other tiers. In this paper, we develop an adaptive resource con-trol system that dynamically adjusts the resource shares to individual tiers in order to meet application-level QoS goals while achieving high resource utilization in the data cen-ter. Our control system is developed using classical control

Efficient Management of Data Center Resources for Massively Multiplayer

by Online Games, Vlad Nae, Ru Iosup, Stefan Podlipnig, Radu Prodan, Dick Epema, Thomas Fahringer, Multiplayer Online Games
"... (MMOGs) can include millions of concurrent players spread across the world. To keep these highly-interactive virtual environments online, a MMOG operator may need to provision tens of thousands of computing resources from various data centers. Faced with large resource demand variability, and with m ..."
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, and with misfit resource renting policies, the current industry practice is to maintain for each game tens of self-owned data centers. In this work we investigate the dynamic resource provisioning from external data centers for MMOG operation. We introduce a novel MMOG workload model that represents the dynamics

Automatically parcellating the human cerebral cortex.

by Bruce Fischl , André Van Der Kouwe , Christophe Destrieux , Eric Halgren , Florent Ségonne , David H Salat , Evelina Busa , Larry J Seidman , Jill Goldstein , David Kennedy , Verne Caviness , Nikos Makris , Bruce Rosen , Anders M Dale , Bruce Fischl - Cereb. Cortex , 2004
"... Abstract -We present a technique for automatically assigning a neuroanatomical label to each location on a cortical surface model based on probabilistic information estimated from Introduction Techniques for labeling geometric features of the cerebral cortex are useful for analyzing a variety of fu ..."
Abstract - Cited by 189 (14 self) - Add to MetaCart
Abstract -We present a technique for automatically assigning a neuroanatomical label to each location on a cortical surface model based on probabilistic information estimated from Introduction Techniques for labeling geometric features of the cerebral cortex are useful for analyzing a variety

Automated control of multiple virtualized resources

by Pradeep Padala, Kai-yuan Hou, Kang G. Shin, Xiaoyun Zhu, Vmware Inc, Mustafa Uysal, Zhikui Wang, Sharad Singhal, Arif Merchant , 2008
"... Virtualized data centers enable sharing of resources among hosted applications. However, it is difficult to satisfy servicelevel objectives (SLOs) of applications on shared infrastructure, as application workloads and resource consumption patterns change over time. In this paper, we present AutoCont ..."
Abstract - Cited by 119 (5 self) - Add to MetaCart
Control, a resource control system that automatically adapts to dynamic workload changes to achieve application SLOs. AutoControl is a combination of an online model estimator and a novel multi-input, multi-output (MIMO) resource controller. The model estimator captures the complex relationship between

InterCloud: Utility-Oriented Federation of Cloud Computing Environments for Scaling of Application Services

by Rajkumar Buyya, Rajiv Ranjan, Rodrigo N. Calheiros - Proceedings of the 10th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2010
"... Abstract. Cloud computing providers have setup several data centers at different geographical locations over the Internet in order to optimally serve needs of their customers around the world. However, existing systems do not support mechanisms and policies for dynamically coordinating load distribu ..."
Abstract - Cited by 132 (13 self) - Add to MetaCart
distribution among different Cloud-based data centers in order to determine optimal location for hosting application services to achieve reasonable QoS levels. Further, the Cloud computing providers are unable to predict geographic distribution of users consuming their services, hence the load coordination

Dynamic resource allocation and power management in virtualized data centers

by Rahul Urgaonkar, Ulas C. Kozat, Ken Igarashi, Michael J. Neely - in Network Operations and Management Symposium (NOMS), 2010 IEEE , 2010
"... Abstract—We investigate optimal resource allocation and power management in virtualized data centers with time-varying workloads and heterogeneous applications. Prior work in this area uses prediction based approaches for resource provisioning. In this work, we take an alternate approach that makes ..."
Abstract - Cited by 29 (0 self) - Add to MetaCart
maximizes a joint utility of the average application throughput and energy costs of the data center. Our approach is adaptive to unpredictable changes in the workload and does not require estimation and prediction of its statistics. Index Terms—Data Center Automation, Cloud Computing, Virtualization

in Enterprise Data Centers

by Wei Xu, Xiaoyun Zhu, Sharad Singhal, Zhikui Wang, Wei Xu , 2006
"... utility computing, virtualization, resource allocation, predictive control, feedback control It is challenging to reduce resource over-provisioning for enterprise applications while maintaining service level objectives (SLOs) due to their time-varying and stochastic workloads. In this paper, we stud ..."
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) model. We compare the properties of the predictive controllers with an adaptive integral (I) controller designed in our earlier work on controlling relative utilization of resource containers. The controllers are evaluated in a hypothetical virtual server environment where we use the CPU utilization

Adaptive Scheduling on Power-Aware Managed Data-Centers using Machine Learning

by Josep Ll. Berral, Ricard Gavaldà, Jordi Torres
"... Abstract—Energy-related costs have become one of the major economic factors in IT data-centers, and companies and the research community are currently working on new efficient poweraware resource management strategies, also known as “Green IT”. Here we propose a framework for autonomic scheduling of ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
Abstract—Energy-related costs have become one of the major economic factors in IT data-centers, and companies and the research community are currently working on new efficient poweraware resource management strategies, also known as “Green IT”. Here we propose a framework for autonomic scheduling

Whom You Know Matters: Venture Capital Networks and Investment Performance,

by Yael Hochberg , Alexander Ljungqvist , Yang Lu , Steve Drucker , Jan Eberly , Eric Green , Yaniv Grinstein , Josh Lerner , Laura Lindsey , Max Maksimovic , Roni Michaely , Maureen O'hara , Ludo Phalippou Mitch Petersen , Jesper Sorensen , Per Strömberg Morten Sorensen , Yael Hochberg , Johnson - Journal of Finance , 2007
"... Abstract Many financial markets are characterized by strong relationships and networks, rather than arm's-length, spot-market transactions. We examine the performance consequences of this organizational choice in the context of relationships established when VCs syndicate portfolio company inv ..."
Abstract - Cited by 138 (8 self) - Add to MetaCart
years) improve the performance of its fund (over the next ten years)? The results, shown in We estimate five separate regression models, adding our five centrality measures to the specification shown in column (3) of 24 Of the five network measures, eigenvector has the largest economic effect, closely
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