Towards Simple Models for Energy-Performance Trade-Offs in Data Centers

In this paper we advocate the use of simple stochastic models to analyse the energy-performance trade-off in data centres. Recently such trade-offs have received increased attention, however, the tools used to make such trade-offs are largely based on simulation and real-life experiments. Although simulations studies are very helpful, we think that simple analytical models, or models based on stochastic Petri nets (or similar description techniques) can be very fruitful in guiding design processes in the early phases.\ud Similarly, we do think that experimental work is very important, however, its results come "after the fact" in the sense that the system has been built already once the experiments are being performed. Our claim is that the\ud use of simple models early in the design phase provides a very good return on investment. This short paper presents some preliminary models that can be used for early-in-design trade-off analyses

Minimizing energy dissipation in content distribution networks using dynamic power management

The growing end-user demand for video services with superior quality on laptops, tablets, and smartphones spurs the deployment of telco content distribution networks (CDNs). Such CDNs provide scalable and bandwidth-efficient video delivery thanks to disk-packed cache servers deployed in the telco's data centers near the clients. However, a sustainable growth of these CDNs may be hindered by their lack of energy proportionality. In this paper we propose to apply dynamic power management (DPM) to the CDN's cache servers and their disks to increase the CDN's energy efficiency. We evaluate DPM using a CDN energy simulator driven by HTTP adaptive-streaming workload traces recorded by an operational CDN delivering IPTV to mobile devices. Even for a minimally-provisioned CDN, we observe a reduction of the energy dissipation by approximately 30% thanks to large cyclic load fluctuations characteristic of IPTV delivery

Minimizing energy dissipation in content distribution networks using dynamic power management

The growing end-user demand for video services with superior quality on laptops, tablets, and smartphones spurs the deployment of telco content distribution networks (CDNs). Such CDNs provide scalable and bandwidth-efficient video delivery thanks to disk-packed cache servers deployed in the telco's data centers near the clients. However, a sustainable growth of these CDNs may be hindered by their lack of energy proportionality. In this paper we propose to apply dynamic power management (DPM) to the CDN's cache servers and their disks to increase the CDN's energy efficiency. We evaluate DPM using a CDN energy simulator driven by HTTP adaptive-streaming workload traces recorded by an operational CDN delivering IPTV to mobile devices. Even for a minimally-provisioned CDN, we observe a reduction of the energy dissipation by approximately 30 % thanks to large cyclic load fluctuations characteristic of IPTV delivery. © 2013 IEEE.status: publishe

MMB & DFT 2014 : Proceedings of the International Workshops ; Modeling, Analysis and Management of Social Networks and their Applications (SOCNET 2014) & Demand Modeling and Quantitative Analysis of Future Generation Energy Networks and Energy-Efficient Systems (FGENET 2014)

At present, a comprehensive set of measurement, modeling, analysis, simulation, and performance evaluation techniques are employed to investigate complex networks. A direct transfer of the developed engineering methodologies to related analysis and design tasks in next-generation energy networks, energy-efficient systems and social networks is enabled by a common mathematical foundation. The International Workshop on "Demand Modeling and Quantitative Analysis of Future Generation Energy Networks and Energy-Efficient Systems" (FGENET 2014) and the International Workshop on "Modeling, Analysis and Management of Social Networks and their Applications" (SOCNET 2014) were held on March 19, 2014, at University of Bamberg in Germany as satellite symposia of the 17th International GI/ITG Conference on "Measurement, Modelling and Evaluation of Computing Systems" and "Dependability and Fault-Tolerance" (MMB & DFT 2014). They dealt with current research issues in next-generation energy networks, smart grid communication architectures, energy-efficient systems, social networks and social media. The Proceedings of MMB & DFT 2014 International Workshops summarizes the contributions of 3 invited talks and 13 reviewed papers and intends to stimulate the readers’ future research in these vital areas of modern information societies.Gegenwärtig wird eine reichhaltige Klasse von Verfahren zur Messung, Modellierung, Analyse, Simulation und Leistungsbewertung komplexer Netze eingesetzt. Die unmittelbare Übertragung entwickelter Ingenieurmethoden auf verwandte Analyse- und Entwurfsaufgaben in Energienetzen der nächsten Generation, energieeffizienten Systemen und sozialen Netzwerken wird durch eine gemeinsame mathematische Basis ermöglicht. Die Internationalen Workshops "Demand Modeling and Quantitative Analysis of Future Generation Energy Net-works and Energy-Efficient Systems" (FGENET 2014) und "Modeling, Analysis and Management of Social Networks and their Applications" (SOCNET 2014) wurden am 19. März 2014 als angegliederte Symposien der 17. Internationalen GI/ITG Konferenz "Measurement, Modelling and Evaluation of Computing Systems" und "Dependability and Fault-Tolerance" (MMB & DFT 2014) an der Otto-Friedrich-Universität Bamberg in Deutschland veranstaltet. Es wurden aktuelle Forschungsfragen in Energienetzen der nächsten Generation, Smart Grid Kommunikationsarchitekturen, energieeffizienten Systemen, sozialen Netzwerken und sozialen Medien diskutiert. Der Tagungsband der Internationalen Workshops MMB & DFT 2014 fasst die Inhalte von 3 eingeladenen Vorträgen und 13 begutachteten Beiträgen zusammen und beabsichtigt, den Lesern Anregungen für ihre eigenen Forschungen auf diesen lebenswichtigen Gebieten moderner Informationsgesellschaften zu vermitteln

Dynamic Power Management in Content Distribution Networks (Dynamisch energiebeheer in contentdistributienetwerken)

The Internet was designed for communication between hosts but is increasingly used as a means to distribute content. Therefore, overlay networks are required for high-quality, highly available, and bandwidth-efficient content distribution. Such content distribution networks (CDNs) consist of cache servers deployed in data centers at the edge of the Internet close to the content consumers. A cache server replicates the most popular content from the origin server, which stores the original content. A CDN redirects a client request from the origin server to an available cache server close to the client. The growing consumer demand for quality-sensitive video streaming services on a broadening range of mobile terminals spurs the expansion of content distribution networks towards the consumers. Internet service providers (ISPs) have started to deploy cache servers in data centers in their own regional networks to offer multiscreen IPTV services with guaranteed quality to paying subscribers. A CDN owned by an ISP is called a telco CDN. The rapidly rising number of power-hungry cache servers fuels the unsustainable increase of data-center power consumption. Cache servers consume much power partly to keep their disks spinning. In this thesis, we aim to save energy in content distribution networks. We approach this problem in four steps: (1) a survey and analysis of power-reduction techniques for data storage systems, (2) a CDN energy simulator, (3) a near-optimal offline policy for combined server and disk power control, and (4) an online server and disk power-control policy. Because cache servers are typically equipped with many disks, a CDN can be considered a large-scale data storage system distributed across multiple data centers. Therefore, we survey all of the existing techniques that save energy in data storage systems such that we can identify the techniques applicable to CDNs. We classify the power-reduction techniques according to the disk-power factor and storage-stack layer addressed. For each technique, we reveal the fundamental trade-offs between power, capacity, performance, and dependability. Most of the power-reduction techniques are based on dynamic power management (DPM), which turns off underutilized system components. To clarify DPM at the level of the disk under a data-center workload, we analyze this technique based on an analytical model for the energy consumed by a disk during an idle period. To evaluate potential energy-saving techniques, we propose a CDN energy simulator driven by workload traces recorded by an operational telco CDN delivering IPTV services to mobile devices by means of HTTP adaptive streaming. Existing CDN simulators simulate only performance not power consumption. Our simulator models the power consumption of the cache server's disks separately from the server itself such that disks and servers can be turned on and off independently. Simulations show that CDNs are not energy proportional, which means their energy consumption is not proportional to their load. Therefore, the diurnal load fluctuations revealed by the traces lead to energy waste. Energy can be saved by applying DPM to the cache servers. To save energy in CDNs, we propose applying DPM at the level of the servers and their disks. We are the first to consider such combination of server and disk power management. So far only server power management was applied to CDNs. To determine an upper bound for the energy savings that can be realized by means of DPM, we present a near-optimal offline greedy heuristic power-control policy. This power-control policy targets maximum energy savings while maintaining high availability and bandwidth efficiency. We evaluate this power-control policy using our CDN energy simulator. Even for a minimally provisioned CDN, 28% of the energy can be saved. Finally, we present an online load-directed threshold-based policy for combined server and disk power control in CDNs. Similar to the offline power-control policy, the online policy reduces the CDN's energy dissipation while ensuring high availability and bandwidth efficiency. In addition, the proposed policy avoids an excessive wear of servers and disks. The evaluation of the online policy is based on the CDN energy simulator. Even when provisioning the minimum number of cache servers and disks required to cope with the daily peak load, the online policy reduces the power consumption by 24%. Such energy savings correspond to 85% of the energy-savings upper bound determined by the offline policy. Moreover, the energy savings realized by the online policy that combines server and disk power management are 30% larger than the energy savings achieved by the existing online policy limited to server power management.Abstract v Contents xxiii List of Figures xxix List of Tables xxxiii 1 Introduction 1 1.1 Motivation 1 1.2 Background 3 1.3 Research Objectives 4 1.4 Research Contributions 7 1.5 Outline 9 2 Power-Reduction Techniques for Data-Center Storage Systems 13 2.1 Preface 13 2.2 Abstract 13 2.3 Introduction 14 2.4 Hard-Disk Power Consumption 17 2.5 Dynamic Power Management 22 2.6 DPM-Enabling Techniques 26 2.7 Other Power-Reduction Techniques 46 2.8 Conclusions 56 2.9 Acknowledgments 63 3 Analysis of Disk Power Management for Data-Center Storage Systems 65 3.1 Preface 65 3.2 Abstract 66 3.3 Introduction 66 3.4 Competitive Ratio of Threshold-Based Disk Spin-Down Policy 68 3.5 Break-Even Time for Multispeed Disks 74 3.6 Energy-optimal distribution of disk accesses 77 3.7 Related Work 80 3.8 Conclusion 81 3.9 Acknowledgments 82 4 A Simulator to Assess Energy-Saving Techniques in Content Distribution Networks 83 4.1 Preface 83 4.2 Abstract 84 4.3 Introduction 84 4.4 Workload Characterization 87 4.5 CDN Energy Simulator 92 4.6 Simulation Results 100 4.7 Related Work 106 4.8 Conclusion 109 4.9 Acknowledgments 110 5 Minimizing Energy Dissipation in Content Distribution Networks Using Dynamic Power Management 111 5.1 Preface 111 5.2 Abstract 112 5.3 Introduction 112 5.4 Trace-Driven CDN Energy Simulator 115 5.5 CDN Energy Simulator Controller 120 5.6 CDN Energy Optimizer 123 5.7 Evaluation 128 5.8 Related Work 134 5.9 Conclusion 135 5.10 Acknowledgments 136 6 LofoSwitch: An Online Policy for Concerted Server and Disk Power Control in Content Distribution Networks 137 6.1 Preface 137 6.2 Abstract 138 6.3 Introduction 138 6.4 CDN Energy Simulator 141 6.5 Offline Power-Control Policy 146 6.6 Online Power-Control Policy 148 6.7 Evaluation 154 6.8 Related work 164 6.9 Conclusion 167 6.10 Acknowledgments 167 7 Conclusion 169 7.1 Discussion 169 7.2 Limitations 176 7.3 Future Work 177 7.4 Significance 179 Bibliography 187 Curriculum Vitae 203 Publications 205nrpages: 206status: publishe