Investigating performance and energy efficiency on a private cloud

[1]  G. Wong SSD Market Overview , 2013 .

[2]  T. N. Vijaykumar,et al.  Joint optimization of idle and cooling power in data centers while maintaining response time , 2010, ASPLOS XV.

[3]  Albert Y. Zomaya,et al.  A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems , 2010, Adv. Comput..

[4]  Jennifer M. Schopf,et al.  A performance study of monitoring and information services for distributed systems , 2003, High Performance Distributed Computing, 2003. Proceedings. 12th IEEE International Symposium on.

[5]  Kevin Skadron,et al.  Bubble-up: Increasing utilization in modern warehouse scale computers via sensible co-locations , 2011, 2011 44th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO).

[6]  D. Feitelson Experimental Computer Science: the Need for a Cultural Change , 2006 .

[7]  Chao Li,et al.  A quantitative analysis of cooling power in container-based data centers , 2011, 2011 IEEE International Symposium on Workload Characterization (IISWC).

[8]  Rizos Sakellariou,et al.  A taxonomy of grid monitoring systems , 2005, Future Gener. Comput. Syst..

[9]  Bernd Freisleben,et al.  Energy-Efficient Management of Virtual Machines in Eucalyptus , 2011, 2011 IEEE 4th International Conference on Cloud Computing.

[10]  Alexander Schill,et al.  Analysis of the Power and Hardware Resource Consumption of Servers under Different Load Balancing Policies , 2012, 2012 IEEE Fifth International Conference on Cloud Computing.

[11]  Paul Shabajee,et al.  A model for green design of online news media services , 2013, WWW.

[12]  Yi Yu,et al.  Energy Measurement for the Cloud , 2010, International Symposium on Parallel and Distributed Processing with Applications.

[13]  Rajkumar Buyya,et al.  Cost of Virtual Machine Live Migration in Clouds: A Performance Evaluation , 2009, CloudCom.

[14]  Miron Livny,et al.  Condor-a hunter of idle workstations , 1988, [1988] Proceedings. The 8th International Conference on Distributed.

[15]  Vipin Chaudhary,et al.  VMeter: Power modelling for virtualized clouds , 2010, 2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW).

[16]  Feng Zhao,et al.  Virtual machine power metering and provisioning , 2010, SoCC '10.

[17]  Ruay-Shiung Chang,et al.  A new mechanism for resource monitoring in Grid computing , 2009, Future Gener. Comput. Syst..

[18]  Matthias S. Müller,et al.  Characterizing the energy consumption of data transfers and arithmetic operations on x86−64 processors , 2010, International Conference on Green Computing.

[19]  Lu Peng,et al.  Optimization of Electricity and Server Maintenance Costs in Hybrid Cooling Data Centers , 2013, 2013 IEEE Sixth International Conference on Cloud Computing.

[20]  R. Yamini,et al.  Power management in cloud computing using green algorithm , 2012, IEEE-International Conference On Advances In Engineering, Science And Management (ICAESM -2012).

[21]  Daniel Mossé,et al.  A dynamic configuration model for power-efficient virtualized server clusters , 2009 .

[22]  Antonio Corradi,et al.  VM consolidation: A real case based on OpenStack Cloud , 2014, Future Gener. Comput. Syst..

[23]  J. Nunamaker,et al.  Systems development in information systems research , 1990, Twenty-Third Annual Hawaii International Conference on System Sciences.

[24]  Jean-Marc Menaud,et al.  Dynamic Scalability of a Consolidation Service , 2013, 2013 IEEE Sixth International Conference on Cloud Computing.

[25]  B. Priya,et al.  A survey on energy and power consumption models for Greener Cloud , 2013, 2013 3rd IEEE International Advance Computing Conference (IACC).

[26]  Jie Xu,et al.  Improved energy-efficiency in cloud datacenters with interference-aware virtual machine placement , 2013, 2013 IEEE Eleventh International Symposium on Autonomous Decentralized Systems (ISADS).

[27]  Rolf Stadler,et al.  Dynamic resource allocation with management objectives—Implementation for an OpenStack cloud , 2012, 2012 8th international conference on network and service management (cnsm) and 2012 workshop on systems virtualiztion management (svm).

[28]  Karthick Rajamani,et al.  A performance-conserving approach for reducing peak power consumption in server systems , 2005, ICS '05.

[29]  Harry Hochheiser,et al.  Research Methods for Human-Computer Interaction , 2008 .

[30]  David E. Culler,et al.  The ganglia distributed monitoring system: design, implementation, and experience , 2004, Parallel Comput..

[31]  Tony Cornford,et al.  Project Research in Information Systems: A Student's Guide , 1996 .

[32]  Qiang He,et al.  An energy consumption model and analysis tool for Cloud computing environments , 2012, 2012 First International Workshop on Green and Sustainable Software (GREENS).

[33]  Randy H. Katz,et al.  An energy case for hybrid datacenters , 2010, OPSR.

[34]  R. Buyya,et al.  Green Cloud Computing and Environmental Sustainability , 2012 .

[35]  E. N. Elnozahy,et al.  Energy-Efficient Server Clusters , 2002, PACS.

[36]  Thomas F. Wenisch,et al.  PowerNap: eliminating server idle power , 2009, ASPLOS.

[37]  Feng Zhao,et al.  Energy aware consolidation for cloud computing , 2008, CLUSTER 2008.

[38]  Henry C. Lucas,et al.  Performance Evaluation and Monitoring , 1971, CSUR.

[39]  Mark Lutz,et al.  Learning Python , 1999 .

[40]  Tony Cornford,et al.  Project Research in Information Systems , 1996 .

[41]  Steve Greenberg,et al.  Best Practices for Data Centers: Lessons Learned from Benchmarking 22 Data Centers , 2006 .

[42]  Eduardo Pinheiro,et al.  Failure Trends in a Large Disk Drive Population , 2007, FAST.

[43]  Richard E. Brown,et al.  Report to Congress on Server and Data Center Energy Efficiency: Public Law 109-431 , 2008 .

[44]  Lassi A. Liikkanen Extreme-user approach and the design energy feedback systems , 2009 .

[45]  Frank Bellosa,et al.  Energy Management for Hypervisor-Based Virtual Machines , 2007, USENIX Annual Technical Conference.

[46]  Martin Bichler,et al.  Design science in information systems research , 2006, Wirtschaftsinf..

[47]  Richard McDougall,et al.  Virtualization performance: perspectives and challenges ahead , 2010, OPSR.

[48]  Hans Lindgren Performance Management for Cloud Services: Implementation and Evaluation of Schedulers for OpenStack , 2013 .

[49]  Ian T. Foster,et al.  Grid information services for distributed resource sharing , 2001, Proceedings 10th IEEE International Symposium on High Performance Distributed Computing.

[50]  Heeseung Jo,et al.  Task-aware virtual machine scheduling for I/O performance. , 2009, VEE '09.

[51]  Aman Kansal,et al.  Q-clouds: managing performance interference effects for QoS-aware clouds , 2010, EuroSys '10.

[52]  Wolf-Dietrich Weber,et al.  Power provisioning for a warehouse-sized computer , 2007, ISCA '07.

[53]  Jeffrey D. Case,et al.  Simple Network Management Protocol (SNMP) , 1989, RFC.

[54]  Suman Nath,et al.  Energy-Aware Server Provisioning and Load Dispatching for Connection-Intensive Internet Services , 2008, NSDI.

[55]  R. Buyya,et al.  Green Cloud Computing and Environmental Sustainability , 2012 .

[56]  Jordi Torres,et al.  Accurate energy accounting for shared virtualized environments using PMC-based power modeling techniques , 2010, 2010 11th IEEE/ACM International Conference on Grid Computing.

[57]  Christos Kozyrakis,et al.  Full-System Power Analysis and Modeling for Server Environments , 2006 .

[58]  Ching-Hsien Hsu,et al.  Energy-Efficient Resource Provisioning with SLA Consideration on Cloud Computing , 2012, 2012 41st International Conference on Parallel Processing Workshops.

[59]  Paul Brebner,et al.  Performance modelling power consumption and carbon emissions for Server Virtualization of Service Oriented Architectures (SOAs) , 2009, 2009 13th Enterprise Distributed Object Computing Conference Workshops.

[60]  Amin Vahdat,et al.  MediSyn: a synthetic streaming media service workload generator , 2003, NOSSDAV '03.

[61]  J. Koomey Worldwide electricity used in data centers , 2008 .

[62]  Cees T. A. M. de Laat,et al.  Profiling Energy Consumption of VMs for Green Cloud Computing , 2011, 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing.

[63]  Mache Creeger,et al.  CTO Roundtable , 2009, Commun. ACM.

[64]  José A. B. Fortes,et al.  A scalable SNMP-based distributed monitoring system for heterogeneous network computing , 2000, ACM/IEEE SC 2000 Conference (SC'00).

[65]  P. Mell,et al.  The NIST Definition of Cloud Computing , 2011 .

[66]  Luiz André Barroso,et al.  The Case for Energy-Proportional Computing , 2007, Computer.

[67]  Enrique V. Carrera,et al.  Load balancing and unbalancing for power and performance in cluster-based systems , 2001 .

[68]  Ian Sommerville,et al.  The Cloud Adoption Toolkit: supporting cloud adoption decisions in the enterprise , 2010, Softw. Pract. Exp..

[69]  Michael Kistler,et al.  The case for power management in web servers , 2002 .

[70]  Parthasarathy Ranganathan,et al.  Energy Consumption in Mobile Devices: Why Future Systems Need Requirements-Aware Energy Scale-Down , 2003, PACS.

[71]  Thomas F. Wenisch,et al.  Power routing: dynamic power provisioning in the data center , 2010, ASPLOS XV.

[72]  William E. Johnston,et al.  The NetLogger methodology for high performance distributed systems performance analysis , 1998, Proceedings. The Seventh International Symposium on High Performance Distributed Computing (Cat. No.98TB100244).