DVFS-Power Management and Performance Engineering of Data Center Server Clusters

Author(s):  
Paul J. Kuehn ◽  
Maggie Mashaly
2008 ◽  
Vol 43 (11) ◽  
pp. 87-92
Author(s):  
Doug Lea ◽  
David F. Bacon ◽  
David Grove

2013 ◽  
Vol 5 (2) ◽  
pp. 563-575
Author(s):  
Nidhi Sharma ◽  
Shikha Sharma

Wireless Sensor Netw orks ( WSNs) c onsist of small nodes with sensing, computation, and wireless communications capabilities. Many routing, power management, and data dissemination protocols have been specifically designed for WSNs where energy awareness is an essential design issue. The focus , however, has been given to the routing protocols which might differ depending on the application and netw ork architecture. In this paper, we present a survey of the state-of-the-art routing techniques in WSNs. We first outline the designchallenges for routing protocols in WSNs followed by a comprehensive survey of different routing techniques . Overall, the routing techniques are classified into three categories based on the underlying netw ork structure: flat, hierarchical, and location-based routing. Furthermore, these protocols can be classified into multipath-based,query-based, negotiation-based, QoS-based, and coherent-based depending on the protocol operation. We study the design tradeoffs b e twe e n ener gy and communication overhead savings in every routing paradigm. We also highlight the adv antages and performance issues of each routing technique.


Author(s):  
Valery P. Mochalov ◽  
Natal'ya Yu. Bratchenko ◽  
Gennady I. Linets

Author(s):  
Catalina M. Lladó ◽  
Pere Bonet ◽  
Connie U. Smith

Model-Driven Performance Engineering (MDPE) uses performance model interchange formats among multiple formalisms and tools to automate performance analysis. Model-to-Model (M2M) transformations convert system specifications into performance specifications and performance specifications to multiple performance model formalisms. Since a single tool is not good for everything, tools for different formalisms provide multiple solutions for evaluation and comparison. This chapter demonstrates transformations from the Performance Model Interchange Format (PMIF) into multiple formalisms: Queueing Network models solved with Java Modeling Tools (JMT), QNAP, and SPE·ED, and Petri Nets solved with PIPE2.


2017 ◽  
Vol 21 (4) ◽  
pp. 44-53 ◽  
Author(s):  
Antonio Cleber de S. Araujo ◽  
Leobino N. Sampaio ◽  
Artur Ziviani

1988 ◽  
Vol 32 (18) ◽  
pp. 1198-1201
Author(s):  
G. Thomas Sicilia

Everyone involved in quantifying the human part of the defense equation has long been frustrated by lack of consistent, “reproducible” and comprehensive data. This void is especially evident in the training and performance data area. The Defense Training and Performance Data Center (TPDC) was established to help redress this problem.


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