Move around floats to keep under 10 pages.

[mpi-energy2.git] / my_reference.bib

diff --git a/my_reference.bib b/my_reference.bib
index 327238daaa8eaccb92e1d024cdc3e6b86a23657a..a21de7be25c1466f8bbbc50a2fc84d66f98e4ca9 100644 (file)
--- a/my_reference.bib
+++ b/my_reference.bib
@@ -83,12 +83,12 @@ year = {2013}
     
 }
 
     
 }
 

-@INPROCEEDINGS{8,
+@INPROCEEDINGS{Rountree_Bounding.energy.consumption.in.MPI,

 author={Rountree, B. and Lowenthal, D.K. and Funk, S. and Freeh, Vincent W. and De Supinski, B.R. and Schulz, M.},
 booktitle={Supercomputing, 2007. SC '07. Proceedings of the 2007 ACM/IEEE Conference on},
 title={Bounding energy consumption in large-scale {MPI} programs},
 year={2007},
 author={Rountree, B. and Lowenthal, D.K. and Funk, S. and Freeh, Vincent W. and De Supinski, B.R. and Schulz, M.},
 booktitle={Supercomputing, 2007. SC '07. Proceedings of the 2007 ACM/IEEE Conference on},
 title={Bounding energy consumption in large-scale {MPI} programs},
 year={2007},

-month={November},
+month=nov,

 pages={1-9},
 keywords={Clustering algorithms;Delay effects;Dynamic voltage scaling;Energy consumption;Frequency;Government;Laboratories;Large-scale systems;Linear programming;Processor scheduling},
 doi={10.1145/1362622.1362688}
 pages={1-9},
 keywords={Clustering algorithms;Delay effects;Dynamic voltage scaling;Energy consumption;Frequency;Government;Laboratories;Large-scale systems;Linear programming;Processor scheduling},
 doi={10.1145/1362622.1362688}


@@ -110,7 +110,7 @@ author={Kessler, C.W. and Melot, N. and Eitschberger, P. and Keller, J.},
 booktitle={Power and Timing Modeling, Optimization and Simulation (PATMOS), 2013 23rd International Workshop on},
 title={Crown scheduling: Energy-efficient resource allocation, mapping and discrete frequency scaling for collections of malleable streaming tasks},
 year={2013},
 booktitle={Power and Timing Modeling, Optimization and Simulation (PATMOS), 2013 23rd International Workshop on},
 title={Crown scheduling: Energy-efficient resource allocation, mapping and discrete frequency scaling for collections of malleable streaming tasks},
 year={2013},

-month={Sept},
+month=sep,

 pages={215-222},
 keywords={cores;microprocessor chips;optimisation;power consumption;resource allocation;scaling circuits;scheduling;ILP;crown scheduling;data flows;discrete voltage-frequency scaling;dynamic discrete frequency scaling;dynamic rescaling;energy-efficient resource allocation;energy-optimal code;integer linear programming;malleable streaming tasks;many-core processor;mapping;optimization;pipelined task graph;power consumption;processor cores;streaming task collections;Dynamic scheduling;Optimization;Processor scheduling;Radio spectrum management;Resource management;Schedules},
 doi={10.1109/PATMOS.2013.6662176}
 pages={215-222},
 keywords={cores;microprocessor chips;optimisation;power consumption;resource allocation;scaling circuits;scheduling;ILP;crown scheduling;data flows;discrete voltage-frequency scaling;dynamic discrete frequency scaling;dynamic rescaling;energy-efficient resource allocation;energy-optimal code;integer linear programming;malleable streaming tasks;many-core processor;mapping;optimization;pipelined task graph;power consumption;processor cores;streaming task collections;Dynamic scheduling;Optimization;Processor scheduling;Radio spectrum management;Resource management;Schedules},
 doi={10.1109/PATMOS.2013.6662176}


@@ -121,7 +121,7 @@ author={Kimura, H. and Sato, M. and Hotta, Y. and Boku, T. and Takahashi, D.},
 booktitle={IEEE Cluster Computing, 2006},
 title={Emprical study on Reducing Energy of Parallel Programs using Slack Reclamation by {DVFS} in a Power-scalable High Performance Cluster},
 year={2006},
 booktitle={IEEE Cluster Computing, 2006},
 title={Emprical study on Reducing Energy of Parallel Programs using Slack Reclamation by {DVFS} in a Power-scalable High Performance Cluster},
 year={2006},

-month={Sept},
+month=sep,

 pages={1-10},
 keywords={directed graphs;parallel programming;power aware computing;AMD Turion;PC clusters;PowerWatch;Transmeta Crusoe;control library;directed acyclic task graph;dynamic voltage scaling;energy consumption;energy reduction;frequency scaling;high performance computing;microprocessors;parallel programs;power consumption;power monitoring tools;slack reclamation;Clustering algorithms;Concurrent computing;Dynamic voltage scaling;Energy consumption;Energy efficiency;Frequency synchronization;Gears;Libraries;Microprocessors;Monitoring},
 doi={10.1109/CLUSTR.2006.311839},
 pages={1-10},
 keywords={directed graphs;parallel programming;power aware computing;AMD Turion;PC clusters;PowerWatch;Transmeta Crusoe;control library;directed acyclic task graph;dynamic voltage scaling;energy consumption;energy reduction;frequency scaling;high performance computing;microprocessors;parallel programs;power consumption;power monitoring tools;slack reclamation;Clustering algorithms;Concurrent computing;Dynamic voltage scaling;Energy consumption;Energy efficiency;Frequency synchronization;Gears;Libraries;Microprocessors;Monitoring},
 doi={10.1109/CLUSTR.2006.311839},


@@ -163,7 +163,7 @@ author={Huang, S. and Feng, W.},
 booktitle={Cluster Computing and the Grid, 2009. CCGRID '09. 9th IEEE/ACM International Symposium on},
 title={Energy-Efficient Cluster Computing via Accurate Workload Characterization},
 year={2009},
 booktitle={Cluster Computing and the Grid, 2009. CCGRID '09. 9th IEEE/ACM International Symposium on},
 title={Energy-Efficient Cluster Computing via Accurate Workload Characterization},
 year={2009},

-month={May},
+month=may,

 pages={68-75},
 keywords={parallel processing;power aware computing;workstation clusters;cluster computer;eco-friendly daemon;energy consumption reduction;energy-efficient cluster computing;power consumption reduction;processor stall cycles;workload characterization;Application software;Clustering algorithms;Energy consumption;Energy efficiency;Frequency;Grid computing;Hardware;High performance computing;Runtime;Voltage},
 doi={10.1109/CCGRID.2009.88}
 pages={68-75},
 keywords={parallel processing;power aware computing;workstation clusters;cluster computer;eco-friendly daemon;energy consumption reduction;energy-efficient cluster computing;power consumption reduction;processor stall cycles;workload characterization;Application software;Clustering algorithms;Energy consumption;Energy efficiency;Frequency;Grid computing;Hardware;High performance computing;Runtime;Voltage},
 doi={10.1109/CCGRID.2009.88}


@@ -210,7 +210,7 @@ doi={10.1109/CCGRID.2009.88}
  series = {IPDPS '05},
  year = {2005},
  isbn = {0-7695-2312-9},
  series = {IPDPS '05},
  year = {2005},
  isbn = {0-7695-2312-9},

- pages = {4.1--},
+ pages = {4a-4a},

  doi = {10.1109/IPDPS.2005.214},
  acmid = {1054466},
  publisher = {IEEE Computer Society},
  doi = {10.1109/IPDPS.2005.214},
  acmid = {1054466},
  publisher = {IEEE Computer Society},


@@ -222,7 +222,7 @@ author={Dong Li and De Supinski, B.R. and Schulz, M. and Cameron, K. and Nikolop
 booktitle={Parallel Distributed Processing (IPDPS), 2010 IEEE International Symposium on},
 title={Hybrid MPI/OpenMP power-aware computing},
 year={2010},
 booktitle={Parallel Distributed Processing (IPDPS), 2010 IEEE International Symposium on},
 title={Hybrid MPI/OpenMP power-aware computing},
 year={2010},

-month={April},
+month=apr,

 pages={1-12},
 keywords={message passing;parallel algorithms;power aware computing;HPC environment;dynamic concurrency throttling;dynamic voltage-and-frequency scaling;high performance computing;hybrid MPI-OpenMP computing;hybrid programming models;large-scale distributed systems;message passing interface;parallel programs;power-aware computing;power-aware performance prediction model;Concurrent computing;Discrete cosine transforms;Dynamic programming;Dynamic voltage scaling;Frequency;Heuristic algorithms;Large-scale systems;Multicore processing;Power system modeling;Predictive models;MPI;OpenMP;performance modeling;power-aware high -performance computing},
 doi={10.1109/IPDPS.2010.5470463},
 pages={1-12},
 keywords={message passing;parallel algorithms;power aware computing;HPC environment;dynamic concurrency throttling;dynamic voltage-and-frequency scaling;high performance computing;hybrid MPI-OpenMP computing;hybrid programming models;large-scale distributed systems;message passing interface;parallel programs;power-aware computing;power-aware performance prediction model;Concurrent computing;Discrete cosine transforms;Dynamic programming;Dynamic voltage scaling;Frequency;Heuristic algorithms;Large-scale systems;Multicore processing;Power system modeling;Predictive models;MPI;OpenMP;performance modeling;power-aware high -performance computing},
 doi={10.1109/IPDPS.2010.5470463},


@@ -389,7 +389,7 @@ author={Yongpan Liu and Huazhong Yang and Dick, R.P. and Hui Wang and Li Shang},
 booktitle={Quality Electronic Design, 2007. ISQED '07. 8th International Symposium on},
 title={Thermal vs Energy Optimization for {DVFS}-Enabled Processors in Embedded Systems},
 year={2007},
 booktitle={Quality Electronic Design, 2007. ISQED '07. 8th International Symposium on},
 title={Thermal vs Energy Optimization for {DVFS}-Enabled Processors in Embedded Systems},
 year={2007},

-month={March},
+month=mar,

 pages={204-209},
 keywords={circuit optimisation;embedded systems;integrated circuit design;low-power electronics;microprocessor chips;nonlinear programming;thermal management (packaging);DVFS-enabled processors;application peak temperature;cooling costs;dynamic voltage voltage;embedded systems;energy consumption;frequency scaling;nonlinear programming;power optimization;run-time thermal emergencies;system thermal profile;thermal optimization;thermal-constrained energy optimization;Cooling;Cost function;Design optimization;Dynamic voltage scaling;Embedded system;Energy consumption;Frequency;Power system planning;Runtime;Temperature},
 doi={10.1109/ISQED.2007.158}
 pages={204-209},
 keywords={circuit optimisation;embedded systems;integrated circuit design;low-power electronics;microprocessor chips;nonlinear programming;thermal management (packaging);DVFS-enabled processors;application peak temperature;cooling costs;dynamic voltage voltage;embedded systems;energy consumption;frequency scaling;nonlinear programming;power optimization;run-time thermal emergencies;system thermal profile;thermal optimization;thermal-constrained energy optimization;Cooling;Cost function;Design optimization;Dynamic voltage scaling;Embedded system;Energy consumption;Frequency;Power system planning;Runtime;Temperature},
 doi={10.1109/ISQED.2007.158}


@@ -400,7 +400,7 @@ author={Fen Xie and Martonosi, M. and Malik, S.},
 booktitle={Low Power Electronics and Design, 2005. ISLPED '05. Proceedings of the 2005 International Symposium on},
 title={Bounds on power savings using runtime dynamic voltage scaling: an exact algorithm and a linear-time heuristic approximation},
 year={2005},
 booktitle={Low Power Electronics and Design, 2005. ISLPED '05. Proceedings of the 2005 International Symposium on},
 title={Bounds on power savings using runtime dynamic voltage scaling: an exact algorithm and a linear-time heuristic approximation},
 year={2005},

-month={Aug},
+month=aug,

 pages={287-292},
 keywords={approximation theory;energy conservation;low-power electronics;power consumption;power supply circuits;DVFS policy;discrete voltage/frequency voltage level;dynamic voltage scaling;dynamic voltage/frequency scaling;energy reduction technique;exponential algorithm;linear-time heuristic approximation;power reduction technique;switching cost;Approximation algorithms;Costs;Dynamic voltage scaling;Energy consumption;Frequency;Linear approximation;Power system modeling;Runtime;Semiconductor device modeling;Upper bound},
 doi={10.1109/LPE.2005.195529}
 pages={287-292},
 keywords={approximation theory;energy conservation;low-power electronics;power consumption;power supply circuits;DVFS policy;discrete voltage/frequency voltage level;dynamic voltage scaling;dynamic voltage/frequency scaling;energy reduction technique;exponential algorithm;linear-time heuristic approximation;power reduction technique;switching cost;Approximation algorithms;Costs;Dynamic voltage scaling;Energy consumption;Frequency;Linear approximation;Power system modeling;Runtime;Semiconductor device modeling;Upper bound},
 doi={10.1109/LPE.2005.195529}


@@ -411,7 +411,7 @@ author={Lizhe Wang and von Laszewski, G. and Dayal, J. and Fugang Wang},
 booktitle={Cluster, Cloud and Grid Computing (CCGrid), 2010 10th IEEE/ACM International Conference on},
 title={Towards Energy Aware Scheduling for Precedence Constrained Parallel Tasks in a Cluster with {DVFS}},
 year={2010},
 booktitle={Cluster, Cloud and Grid Computing (CCGrid), 2010 10th IEEE/ACM International Conference on},
 title={Towards Energy Aware Scheduling for Precedence Constrained Parallel Tasks in a Cluster with {DVFS}},
 year={2010},

-month={May},
+month=may,

 pages={368-377},
 keywords={environmental factors;parallel processing;power aware computing;scheduling;workstation clusters;dynamic voltage frequency scaling technique;energy aware scheduling heuristics;green service level agreement;high end computing;precedence constrained parallel tasks;Computational modeling;Concurrent computing;Costs;Dynamic voltage scaling;Energy consumption;Frequency;Grid computing;High performance computing;Power engineering computing;Processor scheduling;Cluster Computing;Green Computing;Task Scheduling},
 doi={10.1109/CCGRID.2010.19}
 pages={368-377},
 keywords={environmental factors;parallel processing;power aware computing;scheduling;workstation clusters;dynamic voltage frequency scaling technique;energy aware scheduling heuristics;green service level agreement;high end computing;precedence constrained parallel tasks;Computational modeling;Concurrent computing;Costs;Dynamic voltage scaling;Energy consumption;Frequency;Grid computing;High performance computing;Power engineering computing;Processor scheduling;Cluster Computing;Green Computing;Task Scheduling},
 doi={10.1109/CCGRID.2010.19}


@@ -450,7 +450,7 @@ author={Kappiah, N. and Freeh, Vincent W. and Lowenthal, D.K.},
 booktitle={Supercomputing, 2005. Proceedings of the ACM/IEEE SC 2005 Conference},
 title={Just In Time Dynamic Voltage Scaling: Exploiting Inter-Node Slack to Save Energy in {MPI} Programs},
 year={2005},
 booktitle={Supercomputing, 2005. Proceedings of the ACM/IEEE SC 2005 Conference},
 title={Just In Time Dynamic Voltage Scaling: Exploiting Inter-Node Slack to Save Energy in {MPI} Programs},
 year={2005},

-month={Nov},
+month=nov,

 pages={33-33},
 keywords={Computer science;Dynamic voltage scaling;Energy consumption;Energy efficiency;Frequency;Gears;Jitter;Microprocessors;Performance loss;Permission},
 doi={10.1109/SC.2005.39}
 pages={33-33},
 keywords={Computer science;Dynamic voltage scaling;Energy consumption;Energy efficiency;Frequency;Gears;Jitter;Microprocessors;Performance loss;Permission},
 doi={10.1109/SC.2005.39}


@@ -505,14 +505,14 @@ author = {Wei Liu and Wei Du and Jing Chen and Wei Wang and GuoSun Zeng}
 
 @inproceedings{Le_DVFS.Laws.of.Diminishing.Returns,
     author           = {Le Sueur, Etienne and Gernot Heiser},
 
 @inproceedings{Le_DVFS.Laws.of.Diminishing.Returns,
     author           = {Le Sueur, Etienne and Gernot Heiser},

-    month            = {October},
+    month            = oct,

     year             = {2010},
     title            = {Dynamic Voltage and Frequency Scaling: The Laws of Diminishing Returns},
     booktitle        = {Proceedings of the  2010 Workshop on Power Aware Computing and Systems (HotPower'10)},
     year             = {2010},
     title            = {Dynamic Voltage and Frequency Scaling: The Laws of Diminishing Returns},
     booktitle        = {Proceedings of the  2010 Workshop on Power Aware Computing and Systems (HotPower'10)},

-    address          = {Vancouver, Canada}
+    NOaddress          = {Vancouver, Canada}

   }
 
   }
 

-@inproceedings{38,
+@inproceedings{Cochran_Pack_and_Cap_Adaptive_DVFS,

  author = {Cochran, Ryan and Hankendi, Can and Coskun, Ayse K. and Reda, Sherief},
  title = {Pack \& Cap: Adaptive {DVFS} and Thread Packing Under Power Caps},
  booktitle = {Proceedings of the 44th Annual IEEE/ACM International Symposium on Microarchitecture},
  author = {Cochran, Ryan and Hankendi, Can and Coskun, Ayse K. and Reda, Sherief},
  title = {Pack \& Cap: Adaptive {DVFS} and Thread Packing Under Power Caps},
  booktitle = {Proceedings of the 44th Annual IEEE/ACM International Symposium on Microarchitecture},


@@ -533,7 +533,7 @@ author={Dhiman, G. and Rosing, T.S.},
 booktitle={Low Power Electronics and Design (ISLPED), 2007 ACM/IEEE International Symposium on},
 title={Dynamic voltage frequency scaling for multi-tasking systems using online learning},
 year={2007},
 booktitle={Low Power Electronics and Design (ISLPED), 2007 ACM/IEEE International Symposium on},
 title={Dynamic voltage frequency scaling for multi-tasking systems using online learning},
 year={2007},

-month={Aug},
+month=aug,

 pages={207-212},
 keywords={Linux;computer aided instruction;multiprogramming;power aware computing;program compilers;system monitoring;Intel PXA27x;Linux 2.6.9;dynamic voltage frequency scaling;multitasking systems;online learning;processors runtime statistics;Batteries;Computer applications;Delay;Dynamic voltage scaling;Embedded system;Energy consumption;Frequency estimation;Linux;Power engineering computing;Statistics;dynamic voltage frequency scaling;online learning},
 doi={10.1145/1283780.1283825}
 pages={207-212},
 keywords={Linux;computer aided instruction;multiprogramming;power aware computing;program compilers;system monitoring;Intel PXA27x;Linux 2.6.9;dynamic voltage frequency scaling;multitasking systems;online learning;processors runtime statistics;Batteries;Computer applications;Delay;Dynamic voltage scaling;Embedded system;Energy consumption;Frequency estimation;Linux;Power engineering computing;Statistics;dynamic voltage frequency scaling;online learning},
 doi={10.1145/1283780.1283825}


@@ -573,7 +573,7 @@ author={Dhiman, G. and Rosing, T.S.},
 journal={Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on},
 title={System-Level Power Management Using Online Learning},
 year={2009},
 journal={Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on},
 title={System-Level Power Management Using Online Learning},
 year={2009},

-month={May},
+month=may,

 volume={28},
 number={5},
 pages={676-689},
 volume={28},
 number={5},
 pages={676-689},


@@ -611,7 +611,7 @@ ISSN={0278-0070}
                   Parallel and Distributed Processing with
                   Applications},
   year =         {2014},
                   Parallel and Distributed Processing with
                   Applications},
   year =         {2014},

-  month =        {Aug},
+  month =        aug,

   pages =        {225--230},
   publisher =    {IEEE Computer Society},
   address =      {Milan, Italy}
   pages =        {225--230},
   publisher =    {IEEE Computer Society},
   address =      {Milan, Italy}


@@ -672,7 +672,7 @@ author={Kai Ma and Xue Li and Wei Chen and Chi Zhang and Xiaorui Wang},
 booktitle={Parallel Processing (ICPP), 2012 41st International Conference on}, 
 title={GreenGPU: A Holistic Approach to Energy Efficiency in GPU-CPU Heterogeneous Architectures}, 
 year={2012}, 
 booktitle={Parallel Processing (ICPP), 2012 41st International Conference on}, 
 title={GreenGPU: A Holistic Approach to Energy Efficiency in GPU-CPU Heterogeneous Architectures}, 
 year={2012}, 

-month={Sept}, 
+month=sep,

 pages={48-57}, 
 keywords={energy consumption;graphics processing units;parallel architectures;AMD Phenom II CPU;CUDA framework;GPU-CPU heterogeneous architectures;GreenGPU;Nvidia GeForce GPU;energy consumption;energy efficiency;high performance computing;holistic approach;Algorithm design and analysis;Computer architecture;Frequency conversion;Graphics processing unit;Green products;Heuristic algorithms;Time frequency analysis;GPU;dynamic frequency scaling;energy efficiency;workload division}, 
 doi={10.1109/ICPP.2012.31}, 
 pages={48-57}, 
 keywords={energy consumption;graphics processing units;parallel architectures;AMD Phenom II CPU;CUDA framework;GPU-CPU heterogeneous architectures;GreenGPU;Nvidia GeForce GPU;energy consumption;energy efficiency;high performance computing;holistic approach;Algorithm design and analysis;Computer architecture;Frequency conversion;Graphics processing unit;Green products;Heuristic algorithms;Time frequency analysis;GPU;dynamic frequency scaling;energy efficiency;workload division}, 
 doi={10.1109/ICPP.2012.31}, 


@@ -686,7 +686,7 @@ author={Rong Ge and Vogt, R. and Majumder, J. and Alam, A. and Burtscher, M. and
 booktitle={Parallel Processing (ICPP), 2013 42nd International Conference on}, 
 title={Effects of Dynamic Voltage and Frequency Scaling on a K20 GPU}, 
 year={2013}, 
 booktitle={Parallel Processing (ICPP), 2013 42nd International Conference on}, 
 title={Effects of Dynamic Voltage and Frequency Scaling on a K20 GPU}, 
 year={2013}, 

-month={Oct}, 
+month=oct,

 pages={826-833}, 
 keywords={energy conservation;graphics processing units;parallel processing;power aware computing;power consumption;DVFS schedulers;GPU computing;K20 GPU;Nvidia K20c Kepler GPU;application performance;compute-bound high-performance workloads;dual Intel Sandy Bridge CPU;dynamic voltage and frequency scaling;energy efficiency;high-throughput workloads;power consumption;power-aware heterogeneous system;Benchmark testing;Computer architecture;Energy consumption;Graphics processing units;Market research;Measurement;Power demand;DVFS in GPU Computing;Dynamic Voltage and Frequency Scaling;Energy-Efficient Computing}, 
 doi={10.1109/ICPP.2013.98}, 
 pages={826-833}, 
 keywords={energy conservation;graphics processing units;parallel processing;power aware computing;power consumption;DVFS schedulers;GPU computing;K20 GPU;Nvidia K20c Kepler GPU;application performance;compute-bound high-performance workloads;dual Intel Sandy Bridge CPU;dynamic voltage and frequency scaling;energy efficiency;high-throughput workloads;power consumption;power-aware heterogeneous system;Benchmark testing;Computer architecture;Energy consumption;Graphics processing units;Market research;Measurement;Power demand;DVFS in GPU Computing;Dynamic Voltage and Frequency Scaling;Energy-Efficient Computing}, 
 doi={10.1109/ICPP.2013.98}, 


@@ -701,7 +701,7 @@ ISSN={0190-3918}
        institution = {{DTIC} Document},
        author = {Luley, Ryan and Usmail, Courtney and Barnell, Mark},
        year = {2011},
        institution = {{DTIC} Document},
        author = {Luley, Ryan and Usmail, Courtney and Barnell, Mark},
        year = {2011},

-       file = {a548738.pdf:files/30/a548738.pdf:application/pdf}
+       

 }
 
 
 }
 
 


@@ -722,7 +722,6 @@ pages = "1661 - 1670",
 year = "2013",
 issn = "0167-739X",
 doi = "http://dx.doi.org/10.1016/j.future.2013.02.010",
 year = "2013",
 issn = "0167-739X",
 doi = "http://dx.doi.org/10.1016/j.future.2013.02.010",

-url = "http://www.sciencedirect.com/science/article/pii/S0167739X13000484",

 author = {Lizhe Wang and Samee U. Khan and Dan Chen and Joanna Kołodziej and Rajiv Ranjan and Cheng-zhong Xu and Albert Zomaya}
 
 
 author = {Lizhe Wang and Samee U. Khan and Dan Chen and Joanna Kołodziej and Rajiv Ranjan and Cheng-zhong Xu and Albert Zomaya}
 
 


@@ -733,7 +732,6 @@ author = {Lizhe Wang and Samee U. Khan and Dan Chen and Joanna Kołodziej and Ra
 @article{Joshi_Blackbox.prediction.of.impact.of.DVFS,
        title = {Blackbox prediction of the impact of {DVFS} on end-to-end performance of multitier systems},
        volume = {37},
 @article{Joshi_Blackbox.prediction.of.impact.of.DVFS,
        title = {Blackbox prediction of the impact of {DVFS} on end-to-end performance of multitier systems},
        volume = {37},

-       url = {http://dl.acm.org/citation.cfm?id=1773404},

        number = {4},
        urldate = {2014-03-28},
        journal = {{ACM} {SIGMETRICS} Performance Evaluation Review},
        number = {4},
        urldate = {2014-03-28},
        journal = {{ACM} {SIGMETRICS} Performance Evaluation Review},


@@ -745,10 +743,10 @@ author = {Lizhe Wang and Samee U. Khan and Dan Chen and Joanna Kołodziej and Ra
 
 @INPROCEEDINGS{Spiliopoulos_Green.governors.Adaptive.DVFS, 
 author={Spiliopoulos, V. and Kaxiras, S. and Keramidas, G.}, 
 
 @INPROCEEDINGS{Spiliopoulos_Green.governors.Adaptive.DVFS, 
 author={Spiliopoulos, V. and Kaxiras, S. and Keramidas, G.}, 

-booktitle={Green Computing Conference and Workshops (IGCC), 2011 International}, 
+booktitle={International Green Computing Conference and Workshops (IGCC)}, 

 title={Green governors: A framework for Continuously Adaptive DVFS}, 
 year={2011}, 
 title={Green governors: A framework for Continuously Adaptive DVFS}, 
 year={2011}, 

-month={July}, 
+month=jul,

 pages={1-8}, 
 doi={10.1109/IGCC.2011.6008552}
 }
 pages={1-8}, 
 doi={10.1109/IGCC.2011.6008552}
 }


@@ -781,7 +779,6 @@ ISSN={1045-9219},}
 @article{Chen_DVFS.under.quality.of.service.requirements,
        title = {Dynamic frequency scaling schemes for heterogeneous clusters under quality of service requirements},
        volume = {28},
 @article{Chen_DVFS.under.quality.of.service.requirements,
        title = {Dynamic frequency scaling schemes for heterogeneous clusters under quality of service requirements},
        volume = {28},

-       url = {http://www.tik.ee.ethz.ch/file/6b2639d5dad0cd754d723ba0eb92cbf6/201211_06.pdf},

        number = {6},
        urldate = {2014-11-07},
        journal = {Journal of Information Science and Engineering},
        number = {6},
        urldate = {2014-11-07},
        journal = {Journal of Information Science and Engineering},


@@ -799,4 +796,6 @@ ISSN={1045-9219},}
 @MISC{U.S_Annual.Energy.Outlook.2014,
   title =        {{U.S. Energy Information Administration, Annual Energy Outlook 2014}},
   url =          {http://www.eia.gov/}
 @MISC{U.S_Annual.Energy.Outlook.2014,
   title =        {{U.S. Energy Information Administration, Annual Energy Outlook 2014}},
   url =          {http://www.eia.gov/}

-}
\ No newline at end of file
+}
+
+