暂无分享,去创建一个
Erik Elmroth | Trevor E. Carlson | Jakub Krzywda | Per-Olov Östberg | Ahmed Ali-Eldin | E. Elmroth | Jakub Krzywda | A. Ali-Eldin | Per-Olov Östberg
[1] S. Shapiro,et al. An Analysis of Variance Test for Normality (Complete Samples) , 1965 .
[2] Johan Tordsson,et al. A combined frequency scaling and application elasticity approach for energy-efficient cloud computing , 2014, Sustain. Comput. Informatics Syst..
[3] Petr Tuma,et al. Analyzing the Impact of CPU Pinning and Partial CPU Loads on Performance and Energy Efficiency , 2015, 2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing.
[4] Xi He,et al. Power-aware scheduling of virtual machines in DVFS-enabled clusters , 2009, 2009 IEEE International Conference on Cluster Computing and Workshops.
[5] M. Kendall. Statistical Methods for Research Workers , 1937, Nature.
[6] Jian Li,et al. COLO: COarse-grained LOck-stepping virtual machines for non-stop service , 2013, SoCC.
[7] Aman Kansal,et al. Q-clouds: managing performance interference effects for QoS-aware clouds , 2010, EuroSys '10.
[8] Balaram Sinharoy,et al. POWER7: IBM's next generation server processor , 2010, 2009 IEEE Hot Chips 21 Symposium (HCS).
[9] Wolf-Dietrich Weber,et al. Power provisioning for a warehouse-sized computer , 2007, ISCA '07.
[10] Waltenegus Dargie. Analysis of the Power Consumption of a Multimedia Server under Different DVFS Policies , 2012, 2012 IEEE Fifth International Conference on Cloud Computing.
[11] Steven Hand,et al. Self-adaptive and self-configured CPU resource provisioning for virtualized servers using Kalman filters , 2009, ICAC '09.
[12] Erik Elmroth,et al. Towards Faster Response Time Models for Vertical Elasticity , 2014, 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing.
[13] Yefu Wang,et al. TEStore: Exploiting thermal and energy storage to cut the electricity bill for datacenter cooling , 2012, 2012 8th international conference on network and service management (cnsm) and 2012 workshop on systems virtualiztion management (svm).
[14] Luiz André Barroso,et al. The Case for Energy-Proportional Computing , 2007, Computer.
[15] Deep Medhi,et al. Server Operational Cost Optimization for Cloud Computing Service Providers over a Time Horizon , 2011, Hot-ICE.
[16] Samuel Kounev,et al. Runtime Vertical Scaling of Virtualized Applications via Online Model Estimation , 2014, 2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems.
[17] Erik Elmroth,et al. Control-theoretical load-balancing for cloud applications with brownout , 2014, 53rd IEEE Conference on Decision and Control.
[18] Vincenzo Mancuso,et al. A measurement-based analysis of the energy consumption of data center servers , 2014, e-Energy.
[19] Qiang Huang,et al. Power Consumption of Virtual Machine Live Migration in Clouds , 2011, 2011 Third International Conference on Communications and Mobile Computing.
[20] N. Ahuja. Datacenter power savings through high ambient datacenter operation: CFD modeling study , 2012, 2012 28th Annual IEEE Semiconductor Thermal Measurement and Management Symposium (SEMI-THERM).
[21] Hai Jin,et al. Performance and energy modeling for live migration of virtual machines , 2011, Cluster Computing.
[22] Ravishankar K. Iyer,et al. A Performance Evaluation of Sequence Alignment Software in Virtualized Environments , 2014, 2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing.
[23] D. R. Avresky. Cloud computing : First International Conference , 2010 .
[24] Seung Hun Kim,et al. Development of efficient VCPU pinning mechanism in Xen , 2014, 2014 International Conference on Electronics, Information and Communications (ICEIC).
[25] Gernot Heiser,et al. Dynamic voltage and frequency scaling: the laws of diminishing returns , 2010 .
[26] Evgenia Smirni,et al. Tale of Tails: Anomaly Avoidance in Data Centers , 2016, 2016 IEEE 35th Symposium on Reliable Distributed Systems (SRDS).
[27] Brad Fitzpatrick,et al. Distributed caching with memcached , 2004 .
[28] Johan Tordsson,et al. Efficient provisioning of bursty scientific workloads on the cloud using adaptive elasticity control , 2012, ScienceCloud '12.
[29] Christoforos E. Kozyrakis,et al. Towards energy proportionality for large-scale latency-critical workloads , 2014, 2014 ACM/IEEE 41st International Symposium on Computer Architecture (ISCA).
[30] Johan Tordsson,et al. An adaptive hybrid elasticity controller for cloud infrastructures , 2012, 2012 IEEE Network Operations and Management Symposium.
[31] Thomas F. Wenisch,et al. Power management of online data-intensive services , 2011, 2011 38th Annual International Symposium on Computer Architecture (ISCA).
[32] Luiz André Barroso,et al. The tail at scale , 2013, CACM.
[33] Erik Elmroth,et al. DieHard: Reliable Scheduling to Survive Correlated Failures in Cloud Data Centers , 2016, 2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid).
[34] Luiz André Barroso,et al. The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines , 2009, The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines.
[35] Gernot Heiser,et al. Slow Down or Sleep, That Is the Question , 2011, USENIX Annual Technical Conference.
[36] Rajkumar Buyya,et al. Cost of Virtual Machine Live Migration in Clouds: A Performance Evaluation , 2009, CloudCom.
[37] Welch Bl. THE GENERALIZATION OF ‘STUDENT'S’ PROBLEM WHEN SEVERAL DIFFERENT POPULATION VARLANCES ARE INVOLVED , 1947 .
[38] J. Koomey. Worldwide electricity used in data centers , 2008 .
[39] B. L. Welch. ON THE COMPARISON OF SEVERAL MEAN VALUES: AN ALTERNATIVE APPROACH , 1951 .
[40] Calton Pu,et al. Impact of DVFS on n-tier application performance , 2013, TRIOS@SOSP.
[41] Weisong Shi,et al. Utility analysis for Internet-oriented server consolidation in VM-based data centers , 2009, 2009 IEEE International Conference on Cluster Computing and Workshops.
[42] Ewnetu Bayuh Lakew. Autonomous cloud resource provisioning : accounting, allocation, and performance control , 2015 .
[43] Erik Elmroth,et al. Coordinating CPU and Memory Elasticity Controllers to Meet Service Response Time Constraints , 2015, 2015 International Conference on Cloud and Autonomic Computing.
[44] Didier Colle,et al. Trends in worldwide ICT electricity consumption from 2007 to 2012 , 2014, Comput. Commun..
[45] Rahul Khanna,et al. RAPL: Memory power estimation and capping , 2010, 2010 ACM/IEEE International Symposium on Low-Power Electronics and Design (ISLPED).
[46] Hwanju Kim,et al. Analysis of virtual machine live-migration as a method for power-capping , 2013, The Journal of Supercomputing.