Energy-performance trade-offs in data transfer tuning at the end-systems

C. Systems, Visual Networking Index (2012). U. of Minnesota, Minnesota Internet Traffic Studies (mints) (2012). Mahadevan, 2009, A power benchmarking framework for network devices Heller, 2010, Elastictree: saving energy in data center networks Brooks, 2000, Wattch: a framework for architectural-level power analysis and optimizations, 83 Rawson, 2004 Zedlewski, 2003, Modeling hard-disk power consumption. Gurumurthi, 2002, Using complete machine simulation for software power estimation: the softwatt approach, 141 Contreras, 2005, Power prediction for intel xscale® processors using performance monitoring unit events, 221 Economou, 2006, Full-system power analysis and modeling for server environments Fan, 2007, Power provisioning for a warehouse-sized computer, ACM SIGARCH Computer Architecture News, 35, 13, 10.1145/1273440.1250665 Rivoire, 2008, A comparison of high-level full-system power models, HotPower, 8, 3 Koller, 2010, Wattapp: an application aware power meter for shared data centers, 31 Hasebe, 2010, Power-saving in large-scale storage systems with data migration Vrbsky, 2013, Decreasing power consumption with energy efficient data aware strategies, FGCS, 29, 1152, 10.1016/j.future.2012.12.016 Ananthanarayanan, 2008, Greening the switch Greenberg, 2009, The cost of a cloud: Research problems in data center networks Goma, 2011, Insomnia in the access or how to curb access network related energy consumption Gupta, 2007, Energy conservation with low power modes in ethernet LAN environments Nedevschi, 2008, Reducing network energy consumption via rate-adaptation and sleeping Greenberg, 2008, Towards a next generation data center architecture: scalability and commoditization, 5762 Joseph, 2008, A policy-aware switching layer for data centers, 5162 Chabarek, 2008, Power awareness in network design and routing Kohavi, 2007, Practical guide to controlled experiments on the web: Listen to your customers not to the hippo Ibm Active Energy Manager, http://www-03.ibm.com/systems/software/director/aem/. Spec Accepted Measurement Devices, http://www.spec.org/power/. J. Moore, Gamut, http://www.cs.duke.edu/nicl/cod/. D. Carraway, Lookbusy, http://devin.com/lookbusy/. Basmadjian, 2012, Evaluating and modeling power consumption of multi-core processors, 1 A. Family, 10h Server and Workstation Processor Power and Thermal Data Sheet. SMTP Service Extension for Command Pipelining, http://tools.ietf.org/html/rfc2920. Farkas, 2002, Impact of TCP variants on http performance Sivakumar, 2000, Psockets: the case for application-level network striping FPR data intensive applications using high speed wide area networks Lee, 2001, Applied techniques for high bandwidth data transfers across wide area networks Balakrishman, 1998, TCP behavior of a busy internet server: analysis and improvements Hacker, 2005, Adaptive data block scheduling for parallel streams, 10.1109/HPDC.2005.1520970 Eggert, 2000, Effects of ensemble tcp, ACM SIGCOMM CCR, 30, 15, 10.1145/505688.505691 Karrer, 2006, TCP-ROME: performance and fairness in parallel downloads for web and real time multimedia streaming applications Lu, 2005, Characterizing and predicting TCP throughput on the wide area network Hacker, 2002, The end-to-end performance effects of parallel TCP sockets on a lossy wide area network, 314 Crowcroft, 1998, Differentiated end-to-end internet services using a weighted proportional fair sharing TCP, ACM SIGCOMM Comput. Commun. Rev., 28, 53, 10.1145/293927.293930 Lu, 2005, Modeling and taming parallel TCP on the wide area network, 68b Kosar, 2004, Stork: Making data placement a first class citizen in the grid Kosar, 2009, A new paradigm: Data-aware scheduling in grid computing, Fut. Gener. Comput. Syst., 25, 406, 10.1016/j.future.2008.09.006 Liu, 2010, A data transfer framework for large-scale science experiments Arslan, 2013, Dynamic protocol tuning algorithms for high performance data transfers The Extreme Science and Engineering Discovery Environment (xsede), https://www.xsede.org/. Wang, 2002, Orion: a power-performance simulator for interconnection networks, 294 Heath, 2005, Energy conservation in heterogeneous server clusters, 186 Choi, 2008, Profiling, prediction, and capping of power consumption in consolidated environments Kansal, 2008, Fine-grained energy profiling for power-aware application design, ACM SIGMETRICS Perform. Eval. Rev., 36, 26, 10.1145/1453175.1453180 Do, 2009, ptop: a process-level power profiling tool Bohrer, 2001, Energy conservation for servers Pinheiro, 2001, Load balancing and unbalancing for power and performance in cluster-based systems, 182 Chase, 2001, Managing energy and server resources in hosting centers Pinheiro, 2003, Dynamic cluster reconfiguration for power and performance, 75 Harnik, 2009, Low power mode in cloud storage systems, 1 Gupta, 2003, Greening of the internet, 1926