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Energy efficient data centers : third International Workshop, E2DC 2014, Cambridge, UK, June 10, 2014, Revised selected papers / Sonja Klingert, Marta Chinnici, Milagros Rey Porto (eds.).

By: (3rd : International Workshop on Energy-Efficient Data Centers (3rd : 2014 : Cambridge, England)Contributor(s): Klingert, Sonja [editor.] | Chinnici, Marta [editor.] | Porto, Milagros Rey [editor.]Material type: TextTextSeries: Serienbezeichnung | Lecture notes in computer science ; 8945. | LNCS sublibrary. SL 5, Computer communication networks and telecommunications.Publisher: Cham : Springer, 2015Description: 1 online resource (xii, 167 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9783319157863; 3319157868; 331915785X; 9783319157856Other title: E2DC 2014Subject(s): Data processing service centers -- Energy conservation -- Congresses | Data processing service centers -- Energy consumption -- Congresses | Systems analysis & design | Network hardware | Ethical & social aspects of IT | Information architecture | Computer modelling & simulation | Databases | Computers -- Hardware -- Handheld Devices | Computers -- Hardware -- Network Hardware | Computers -- Social Aspects -- General | Business & Economics -- Information Management | Computers -- Computer Simulation | Computers -- Database Management -- General | Data processing service centers -- Energy conservationGenre/Form: Electronic books. | Electronic books. | Conference papers and proceedings. Additional physical formats: Printed edition:: No titleDDC classification: 004.0286 LOC classification: TJ163.5.O35Online resources: Click here to access online
Contents:
Intro; Preface; Organization; Contents; Energy Optimization Algorithms and Models; Agile Traffic Merging for DCNs; 1 Introduction; 1.1 Our Approach: Merging; 1.2 Contributions and Paper Organization; 2 Minimizing Energy Consumption; 2.1 Optimization Model; 2.2 Energy Savings Due to Traffic Merging; 3 Greedy Flow Assignment; 3.1 Algorithm; 3.2 Validation of Greedy Algorithm; 4 Simulation Results; 4.1 Synthetic Traffic Data; 4.2 Empirical Traffic Data; 5 Related Work; 6 Conclusions; References; Performance and Energy Efficiency of Parallel Processing in Data Center Environments; Abstract
1 Introduction2 Multi-processor Job Execution; 2.1 Multi-processor Queuing Model; 2.2 Task Graph Job Model; 2.3 Generic Task Execution Model; 2.4 Performance of the Principal Task Graph Elements; 3 Task Graph Reductions; 3.1 General Aspects and Application Cases; 3.2 Example of a Task Graph Reduction; 4 Performance Evaluation and Energy Efficiency; 4.1 Performance Evaluation; 4.2 Energy Efficiency; 4.3 Trade-off Between the Operation Modes PP and SP; 5 Conclusions; References; Cyclic Blackout Mitigation Through HVAC Shifted Queue Optimization; Abstract; 1 Introduction; 2 The Proposed System
2.1 System Structure2.2 System Operation; 2.3 Shifted Queue Optimization; 3 Implementation; 3.1 Application; 3.2 System Simulation; 4 Results and Discussion; 5 Conclusions; Acknowledgement; References; Stochastic Petri Net Models for the Analysis of Trade-Offs in Data Centres with Power Management; 1 Introduction; 2 Single Server Model; 2.1 Basic Model; 2.2 Single Server Stochastic Petri Net Model; 2.3 Power-Performance Trade-Off; 2.4 Results; 3 Multiple-Server Model; 3.1 Stochastic Petri Net Model; 3.2 Power-Performance Trade-Off; 3.3 Results; 4 Computational Cost and Scalability
5 Related Work6 Discussion and Conclusion; References; The Future Role of Data Centres in Europe; GEYSER: Enabling Green Data Centres in Smart Cities; Abstract; 1 Introduction; 2 GEYSER Visionary Scenarios; 3 GEYSER System Design; 3.1 General Architecture; 3.2 Semantically Enhanced GEYSER Data Model; 4 GEYSER Simulation Environment; 4.1 Modelling; 4.2 Simulation Methods; 5 Conclusions; References; Analysis of the Influence of Application Deployment on Energy Consumption; 1 Introduction; 2 The ECO2Clouds Project and the Eels Application; 2.1 ECO2Clouds; 2.2 The Case Study
3 Different Deployment Configurations and Models3.1 Application Deployment Configurations; 3.2 The Models Implemented; 4 Power Model; 5 Validation; 6 Deployment Configuration Analysis; 7 Conclusions and Future Work; References; Minimization of Costs and Energy Consumption in a Data Center by a Workload-Based Capacity Management; 1 Introduction; 2 Data Center Model; 2.1 Modeling Workloads; 2.2 Modeling Applications; 2.3 Modeling Servers; 2.4 Cooling Models; 2.5 Assessment of Data Center Efficiency, Performance, and Costs; 3 Analysis of Workloads
Summary: This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on Energy Efficient Data Centers, E2DC 2014, held in Cambridge, UK, in June 2014. The 10 revised full papers presented were carefully selected from numerous submissions. They are organized in three topical sections named: energy optimization algorithms and models, the future role of data centres in Europe and energy efficiency metrics for data centres.
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Includes author index.

Online resource; title from PDF title page (SpringerLink, viewed February 19, 2015).

This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on Energy Efficient Data Centers, E2DC 2014, held in Cambridge, UK, in June 2014. The 10 revised full papers presented were carefully selected from numerous submissions. They are organized in three topical sections named: energy optimization algorithms and models, the future role of data centres in Europe and energy efficiency metrics for data centres.

Intro; Preface; Organization; Contents; Energy Optimization Algorithms and Models; Agile Traffic Merging for DCNs; 1 Introduction; 1.1 Our Approach: Merging; 1.2 Contributions and Paper Organization; 2 Minimizing Energy Consumption; 2.1 Optimization Model; 2.2 Energy Savings Due to Traffic Merging; 3 Greedy Flow Assignment; 3.1 Algorithm; 3.2 Validation of Greedy Algorithm; 4 Simulation Results; 4.1 Synthetic Traffic Data; 4.2 Empirical Traffic Data; 5 Related Work; 6 Conclusions; References; Performance and Energy Efficiency of Parallel Processing in Data Center Environments; Abstract

1 Introduction2 Multi-processor Job Execution; 2.1 Multi-processor Queuing Model; 2.2 Task Graph Job Model; 2.3 Generic Task Execution Model; 2.4 Performance of the Principal Task Graph Elements; 3 Task Graph Reductions; 3.1 General Aspects and Application Cases; 3.2 Example of a Task Graph Reduction; 4 Performance Evaluation and Energy Efficiency; 4.1 Performance Evaluation; 4.2 Energy Efficiency; 4.3 Trade-off Between the Operation Modes PP and SP; 5 Conclusions; References; Cyclic Blackout Mitigation Through HVAC Shifted Queue Optimization; Abstract; 1 Introduction; 2 The Proposed System

2.1 System Structure2.2 System Operation; 2.3 Shifted Queue Optimization; 3 Implementation; 3.1 Application; 3.2 System Simulation; 4 Results and Discussion; 5 Conclusions; Acknowledgement; References; Stochastic Petri Net Models for the Analysis of Trade-Offs in Data Centres with Power Management; 1 Introduction; 2 Single Server Model; 2.1 Basic Model; 2.2 Single Server Stochastic Petri Net Model; 2.3 Power-Performance Trade-Off; 2.4 Results; 3 Multiple-Server Model; 3.1 Stochastic Petri Net Model; 3.2 Power-Performance Trade-Off; 3.3 Results; 4 Computational Cost and Scalability

5 Related Work6 Discussion and Conclusion; References; The Future Role of Data Centres in Europe; GEYSER: Enabling Green Data Centres in Smart Cities; Abstract; 1 Introduction; 2 GEYSER Visionary Scenarios; 3 GEYSER System Design; 3.1 General Architecture; 3.2 Semantically Enhanced GEYSER Data Model; 4 GEYSER Simulation Environment; 4.1 Modelling; 4.2 Simulation Methods; 5 Conclusions; References; Analysis of the Influence of Application Deployment on Energy Consumption; 1 Introduction; 2 The ECO2Clouds Project and the Eels Application; 2.1 ECO2Clouds; 2.2 The Case Study

3 Different Deployment Configurations and Models3.1 Application Deployment Configurations; 3.2 The Models Implemented; 4 Power Model; 5 Validation; 6 Deployment Configuration Analysis; 7 Conclusions and Future Work; References; Minimization of Costs and Energy Consumption in a Data Center by a Workload-Based Capacity Management; 1 Introduction; 2 Data Center Model; 2.1 Modeling Workloads; 2.2 Modeling Applications; 2.3 Modeling Servers; 2.4 Cooling Models; 2.5 Assessment of Data Center Efficiency, Performance, and Costs; 3 Analysis of Workloads

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