Download or read book Online Capacity Provisioning for Energy Efficient Datacenters written by Minghua Chen and published by Springer Nature. This book was released on 2022-10-19 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the urgent issue of massive and inefficient energy consumption by data centers, which have become the largest co-located computing systems in the world and process trillions of megabytes of data every second. Dynamic provisioning algorithms have the potential to be the most viable and convenient of approaches to reducing data center energy consumption by turning off unnecessary servers, but they incur additional costs from being unable to properly predict future workload demands that have only recently been mitigated by advances in machine-learned predictions. This book explores whether it is possible to design effective online dynamic provisioning algorithms that require zero future workload information while still achieving close-to-optimal performance. It also examines whether characterizing the benefits of utilizing the future workload information can then improve the design of online algorithms with predictions in dynamic provisioning. The book specifically develops online dynamic provisioning algorithms with and without the available future workload information. Readers will discover the elegant structure of the online dynamic provisioning problem in a way that reveals the optimal solution through divide-and-conquer tactics. The book teaches readers to exploit this insight by showing the design of two online competitive algorithms with competitive ratios characterized by the normalized size of a look-ahead window in which exact workload prediction is available.

Download or read book Green Internet Datacenters with Dynamic and Diverse Traffic written by Dan Xu and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: With the increasing popularity of cloud computing service, IT companies are building and expanding their datacenters nationwide or worldwide. With hundreds of thousands of servers, a commercial datacenter consumes many mega-watts of power annually, and imposes significant electricity costs to its operator. In this dissertation, we focus on reducing energy cost for Internet-scale datacenters (IDCs) to promote more efficient datacenter operation. To reduce IDC energy consumption, load-aware capacity provisioning schemes have been considered where capacity can be reduced (by turning off servers or scheduling a low CPU frequency) when its load is lower. To reduce IDC energy cost, electricity price-aware load shifting is considered, where IDCs with a lower price/cost serve more load. Our work is related to the load-aware capacity provisioning and electricity price-aware load shifting. However, different from most existing work, we consider practical traffic and load models. We first consider traffic dynamics at each IDC. We consider both large time scale and small time scale traffic variation. We further explicitly differentiate the load demand. We consider both delay sensitive jobs which have strict quality of service requirements, and delay tolerant jobs. We propose joint capacity allocation and load shifting schemes for distributed IDCs with dynamic and differentiated load demand. Our work is summarized as follows. In datacenters, traffic demand varies both in large and small time scales. A datacenter with dynamic traffic often needs toover-provision active servers to meet the peak load demand, which incurs significant energy cost. In the dissertation, our first goal is to achieve an optimal tradeoff between energy efficiency and service performance over a set of distributed IDCs with dynamic demand. In particular, we consider the overload probability as the QoS metric, where overload is defined as service demand exceeding the capacity of an IDC. We require the overload probability at each IDC to be smaller than some predefined threshold. Our goal is thus to minimize total energy cost over all IDCs, subject to the overload constraint. We achieve the goal by dynamically adjusting server capacity and performing load shifting in different time scales. We propose three different load-shifting and joint capacity allocation schemes with different complexity and performance. Our load shifting schemes leverage electricity-price diversity. Meanwhile, they reduce the traffic burstiness such that a smaller capacity is required to satisfy the overload probability constraint. Thus, our schemes reduce energy consumption/cost even when all IDCs have the same electricity price. We use both simulated load traces and real traffic traces to evaluate the performance of the proposed schemes. Our results show that our proposed schemes are efficient in reducing energy cost, and robust in QoS provisioning. Our first work uses load-aware capacity provisioning schemes, where servers are turned on/off according to the load. Similar to most existing work, we only consider instantaneous (Internet) requests, which are explicitly or implicitly assumed to be delay-sensitive. On the other hand, in datacenters, there are many delay-tolerant jobs, such as background/maintainance jobs. In our second work, we explicitly differentiate delay-sensitive jobs and delay tolerant jobs. We focus on the problem of using delay-tolerant jobs to fill the extra capacity of datacenters, referred to as trough/valley filling. Giving a higher priority to delay-sensitive jobs, our schemes improve most existing demand-proportional resource provisioning schemes. Our goal is then to design intelligent trough filling mechanisms that are energy efficient and also achieve good delay performance. Specifically, we propose two joint dynamic speed scaling and traffic shifting schemes, one subgradient-based and the other queue-based. Our schemes assume little statistical information about the system, which is usually difficult to obtain in practice. In both schemes, energy cost saving comes from dynamic speed scaling, statistical multiplexing, electricity price diversity, and service efficiency diversity. In addition, good delay performance is achieved in the queue-based scheme via load shifting and capacity allocation based on queue conditions. Practical issues that may arise in datacenter networks are considered, including capacity and bandwidth constraints, service agility constraints, and load shifting cost. We use both simulated and real datacenter traces to evaluate the proposed schemes. Last, we also propose joint capacity provisioning and load shifting schemes for mixed traffic with delay sensitive and delay tolerant jobs. In these schemes, we introduce a delay constraint as the QoS requirement for delay sensitive jobs. We employ a priority queue to derive the capacity demand for delay sensitive jobs under given delay constraints, and further consider bandwidth and capacity sharing for delay tolerant jobs. We follow similar approaches in the second work to reduce energy cost by delay sensitive jobs and delay tolerant jobs, while guaranteeing the delay requirement for delay sensitive jobs and good delay performance for delay tolerant jobs.

Download or read book Dynamic Deferral of Workload for Capacity Provisioning in Data Centers written by Muhammad Abdullah Adnan and published by . This book was released on 2011 with total page 9 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent increase in energy prices has led researchers to find better ways for capacity provisioning in data centers to reduce energy wastage due to the variation in workload. This paper explores the opportunity for cost saving and proposes a novel approach for capacity provisioning under bounded latency requirements for the workload. We investigate how many servers to be kept active and how much workload to be delayed for energy saving while meeting every deadline. We present an offline LP formulation for capacity provisioning by dynamic deferral and give two online algorithms to determine the capacity of the data center and the assignment of workload to servers dynamically. We prove the feasibility of the online algorithms and show that their worst case performance are bounded by a constant factor with respect to the offline formulation. We validate our algorithms on synthetic workload generated from two real HTTP traces and show that they actually perform much better in practice than the worst case, resulting in 20-40% cost-savings.

Download or read book Energy Efficient Computing and Data Centers written by Luigi Brochard and published by John Wiley & Sons. This book was released on 2019-09-11 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data centers consume roughly 1% of the total electricity demand, while ICT as a whole consumes around 10%. Demand is growing exponentially and, left unchecked, will grow to an estimated increase of 20% or more by 2030. This book covers the energy consumption and minimization of the different data center components when running real workloads, taking into account the types of instructions executed by the servers. It presents the different air- and liquid-cooled technologies for servers and data centers with some real examples, including waste heat reuse through adsorption chillers, as well as the hardware and software used to measure, model and control energy. It computes and compares the Power Usage Effectiveness and the Total Cost of Ownership of new and existing data centers with different cooling designs, including free cooling and waste heat reuse leading to the Energy Reuse Effectiveness. The book concludes by demonstrating how a well-designed data center reusing waste heat to produce chilled water can reduce energy consumption by roughly 50%, and how renewable energy can be used to create net-zero energy data centers.

Download or read book Energy Efficient Data Centers written by Sonja Klingert and published by Springer. This book was released on 2014-05-21 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Energy Efficient Data Centers, E2DC 2013, held in Berkeley, CA, USA, in May 2013; co-located with SIGCOMM e-Energy 2013. The 8 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on energy and workload measurement; energy management; simulators and control.

Download or read book Advances in Cybernetics Cognition and Machine Learning for Communication Technologies written by Vinit Kumar Gunjan and published by Springer Nature. This book was released on 2020-04-28 with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights recent advances in Cybernetics, Machine Learning and Cognitive Science applied to Communications Engineering and Technologies, and presents high-quality research conducted by experts in this area. It provides a valuable reference guide for students, researchers and industry practitioners who want to keep abreast of the latest developments in this dynamic, exciting and interesting research field of communication engineering, driven by next-generation IT-enabled techniques. The book will also benefit practitioners whose work involves the development of communication systems using advanced cybernetics, data processing, swarm intelligence and cyber-physical systems; applied mathematicians; and developers of embedded and real-time systems. Moreover, it shares insights into applying concepts from Machine Learning, Cognitive Science, Cybernetics and other areas of artificial intelligence to wireless and mobile systems, control systems and biomedical engineering.

Download or read book Energy Efficient Data Centers written by Jyrki Huusko and published by Springer. This book was released on 2012-09-26 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the First International Workshop on Energy Efficient Data Centers (E2DC 2012) held in Madrid, Spain, in May 2012. The 13 revised full papers presented were carefully selected from 32 submissions. The papers cover topics from information and communication technologies of green data centers to business models and GreenSLA solutions. The first section presents contributions in form of position and short papers, related to various European projects. The other two sections comprise papers with more in-depth technical details. The topics covered include energy-efficient data center management and service delivery as well as energy monitoring and optimization techniques for data centers.

Download or read book A Survey on Coordinated Power Management in Multi Tenant Data Centers written by Thant Zin Oo and published by Springer. This book was released on 2017-09-13 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book investigates the coordinated power management of multi-tenant data centers that account for a large portion of the data center industry. The authors include discussion of their quick growth and their electricity consumption, which has huge economic and environmental impacts. This book covers the various coordinated management solutions in the existing literature focusing on efficiency, sustainability, and demand response aspects. First, the authors provide a background on the multi-tenant data center covering the stake holders, components, power infrastructure, and energy usage. Then, each power management mechanism is described in terms of motivation, problem formulation, challenges and solution.

Download or read book Toward Energy Efficient Systems Design for Data Centers written by Bing Luo and published by . This book was released on 2019 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: Surge growth of numerous cloud services, Internet of Things, and edge computing promotes continuous increasing demand for data centers worldwide. Significant electricity consumption of data centers has tremendous implications on both operating and capital expense. The power infrastructure, along with the cooling system cost a multi-million or even billion dollar project to add new data center capacities. Given the high cost of large-scale data centers, it is important to fully utilize the capacity of data centers to reduce the Total Cost of Ownership. The data center is designed with a space budget and power budget. With the adoption of high-density rack designs, the capacity of a modern data center is usually limited by the power budget. So the core of the challenge is scaling up power infrastructure capacity. However, resizing the initial power capacity for an existing data center can be a task as difficult as building a new data center because of a non-scalable centralized power provisioning scheme. Thus, how to maximize the power utilization and optimize the performance per power budget is critical for data centers to deliver enough computation ability. To explore and attack the challenges of improving the power utilization, we have planned to work on different levels of data center, including server level, row level, and data center level. For server level, we take advantage of modern hardware to maximize power efficiency of each server. For rack level, we propose Pelican, a new power scheduling system for large-scale data centers with heterogeneous workloads. For row level, we present Ampere, a new approach to improve throughput per watt by provisioning extra servers. By combining these studies on different levels, we will provide comprehensive energy efficient system designs for data center.

Download or read book Sustainable Energy Systems Planning Integration and Management written by Kim Guldstrand Larsen and published by MDPI. This book was released on 2020-01-21 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy systems worldwide are undergoing major transformation as a consequence of the transition towards the widespread use of clean and sustainable energy sources. Basically, this involves massive changes in technical and organizational levels together with tremendous technological upgrades in different sectors ranging from energy generation and transmission systems down to distribution systems. These actions generate huge science and engineering challenges and demands for expert knowledge in the field to create solutions for a sustainable energy system that is economically, environmentally, and socially viable while meeting high security requirements. This book covers these promising and dynamic areas of research and development, and presents contributions in sustainable energy systems planning, integration, and management. Moreover, the book elaborates on a variety of topics, ranging from design and planning of small- to large-scale energy systems to the operation and control of energy networks in different sectors, namely electricity, heat, ‎and transport.

Download or read book Advancing Cloud Database Systems and Capacity Planning With Dynamic Applications written by Kamila, Narendra Kumar and published by IGI Global. This book was released on 2017-01-05 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: Continuous improvements in data analysis and cloud computing have allowed more opportunities to develop systems with user-focused designs. This not only leads to higher success in day-to-day usage, but it increases the overall probability of technology adoption. Advancing Cloud Database Systems and Capacity Planning With Dynamic Applications is a key resource on the latest innovations in cloud database systems and their impact on the daily lives of people in modern society. Highlighting multidisciplinary studies on information storage and retrieval, big data architectures, and artificial intelligence, this publication is an ideal reference source for academicians, researchers, scientists, advanced level students, technology developers and IT officials.

Download or read book Energy Efficient Data Centers written by Sonja Klingert and published by Springer. This book was released on 2015-02-13 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Handbook on Data Centers written by Samee U. Khan and published by Springer. This book was released on 2015-03-16 with total page 1309 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook offers a comprehensive review of the state-of-the-art research achievements in the field of data centers. Contributions from international, leading researchers and scholars offer topics in cloud computing, virtualization in data centers, energy efficient data centers, and next generation data center architecture. It also comprises current research trends in emerging areas, such as data security, data protection management, and network resource management in data centers. Specific attention is devoted to industry needs associated with the challenges faced by data centers, such as various power, cooling, floor space, and associated environmental health and safety issues, while still working to support growth without disrupting quality of service. The contributions cut across various IT data technology domains as a single source to discuss the interdependencies that need to be supported to enable a virtualized, next-generation, energy efficient, economical, and environmentally friendly data center. This book appeals to a broad spectrum of readers, including server, storage, networking, database, and applications analysts, administrators, and architects. It is intended for those seeking to gain a stronger grasp on data center networks: the fundamental protocol used by the applications and the network, the typical network technologies, and their design aspects. The Handbook of Data Centers is a leading reference on design and implementation for planning, implementing, and operating data center networks.

Download or read book Energy Efficient Thermal Management of Data Centers written by Yogendra Joshi and published by Springer Science & Business Media. This book was released on 2012-03-23 with total page 635 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy Efficient Thermal Management of Data Centers examines energy flow in today's data centers. Particular focus is given to the state-of-the-art thermal management and thermal design approaches now being implemented across the multiple length scales involved. The impact of future trends in information technology hardware, and emerging software paradigms such as cloud computing and virtualization, on thermal management are also addressed. The book explores computational and experimental characterization approaches for determining temperature and air flow patterns within data centers. Thermodynamic analyses using the second law to improve energy efficiency are introduced and used in proposing improvements in cooling methodologies. Reduced-order modeling and robust multi-objective design of next generation data centers are discussed.

Download or read book Energy efficient Resource Provisioning for Cloud Data Centers written by Selome Kostentinos Tesfatsion and published by . This book was released on 2016 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Management of Data Center Networks written by Nadjib Aitsaadi and published by John Wiley & Sons. This book was released on 2021-04-28 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: MANAGEMENT OF DATA CENTER NETWORKS Discover state-of-the-art developments in DCNs from leading international voices in the field In Management of Data Center Networks, accomplished researcher and editor Dr. Nadjib Aitsaadi delivers a rigorous and insightful exploration of the network management challenges that present within intra- and inter-data center networks, including reliability, routing, and security. The book also discusses new architectures found in data center networks that aim to minimize the complexity of network management while maximizing Quality of Service, like Wireless/Wired DCNs, server-only DCNs, and more. As DCNs become increasingly popular with the spread of cloud computing and multimedia social networks employing new transmission technologies like 5G wireless and wireless fiber, the editor provides readers with chapters written by world-leading authors on topics like routing, the reliability of inter-data center networks, energy management, and security. The book also offers: A thorough overview of the architectures of data center networks, including the classification of switch-centric, server-centric, enhanced, optical, and wireless DCN architectures An exploration of resource management in wired and wireless data center networks, including routing and wireless channel allocation and assignment challenges and criteria Practical discussions of inter-data center networks, including an overview of basic virtual network embedding Examinations of energy and security management in data center networks Perfect for academic and industrial researchers studying the optimization of data center networks, Management of Data Center Networks is also an indispensable guide for anyone seeking a one-stop resource on the architectures, protocols, security, and tools required to effectively manage data centers.

Download or read book Evaluating Demand Response Opportunities for Data Centers written by Sonja Klingert and published by Cuvillier Verlag. This book was released on 2020-12-03 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data center demand response is a solution to a problem that is just recently emerging: Today’s energy system is undergoing major transformations due to the increasing shares of intermittent renewable power sources as solar and wind. As the power grid physically requires balancing power feed-in and power draw at all times, traditionally, power generation plants with short ramp-up times were activated to avoid grid imbalances. Additionally, so-called demand response schemes may incentivize power consumers to manipulate their planned power profile in order to activate hidden sources of flexibility. The data center industry has been identified as a suitable candidate for demand response as it is continuously growing and relies on highly automated processes. The presented thesis exceeds the related work by creating a framework for modeling data center demand response on a high level of abstraction that allows subsuming a great variety of specific models. Based on a generic architecture of demand response enabled data centers this is formalized through a micro-economics inspired optimization framework that generates technical power flex functions and an associated cost and market skeleton. This is evaluated through a simulation based on 2014 data from a real HPC data center in Germany, implementing two power management strategies, namely temporal workload shifting and manipulating the CPU frequency. The flexibility extracted is then monetized on two German electricity markets. As a result, in 2014 this data center would have achieved the largest benefit by changing from static electricity pricing to dynamic EPEX prices without changing their power profile. Through demand response they might have created an additional gross benefit of 4% of the power bill on the secondary reserve market. In a sensitivity analysis, however, it could be shown that these results are largely dependent on specific parameters as service level agreements and job heterogeneity. The results show that even though concrete simulations can evaluate demand response activities of individual data centers, the proposed modeling framework helps to understand their relevance from a system-wide viewpoint.