American cities have experienced a remarkable surge in convention center development over the last two decades, with exhibit hall space growing from 40 million square feet in 1990 to 70 million in 2011—an increase of almost 75 percent. Proponents of these projects promised new jobs, new private development, and new tax revenues. Yet even as cities from Boston and Orlando to Phoenix and Seattle have invested in more convention center space, the return on that investment has proven limited and elusive. Why, then, do cities keep building them? Written by one of the nation's foremost urban development experts, Convention Center Follies exposes the forces behind convention center development and the revolution in local government finance that has privileged convention centers over alternative public investments. Through wide-ranging examples from cities across the country as well as in-depth case studies of Chicago, Atlanta, and St. Louis, Heywood T. Sanders examines the genesis of center projects, the dealmaking, and the circular logic of convention center development. Using a robust set of archival resources—including internal minutes of business consultants and the personal papers of big city mayors—Sanders offers a systematic analysis of the consultant forecasts and promises that have sustained center development and the ways those forecasts have been manipulated and proven false. This record reveals that business leaders sought not community-wide economic benefit or growth but, rather, to reshape land values and development opportunities in the downtown core. A probing look at a so-called economic panacea, Convention Center Follies dissects the inner workings of America's convention center boom and provides valuable lessons in urban government, local business growth, and civic redevelopment.
Proposals for power-sharing constitutions remain controversial, as highlighted by current debates in Iraq, Afghanistan, Nepal, and Sudan. This book updates and refines the theory of consociationalism, taking account of the flood of contemporary innovations in power-sharing institutions that have occurred worldwide. The book classifies and compares four types of political institutions: the electoral system, parliamentary or presidential executives, unitary or federal states, and the structure and independence of the mass media. The study tests the potential advantages and disadvantages of each of these institutions for democratic governance. Cross-national time-series data concerning trends in democracy are analyzed for all countries worldwide since the early 1970s. Chapters are enriched by comparing detailed case studies. The mixed-method research design illuminates the underlying causal mechanisms by examining historical developments and processes of institutional change within particular nations and regions. The conclusion draws together the results and the practical lessons for policymakers.
Fourteen out-of-court commentaries by Justices Black, Brennan, Byrnes, Clark, Douglas, Frankfurter, Harlan, Jackson, and Roberts, offering unique insights into the Supreme Court and leading constitutional issues of our day.
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.
This edited volume covers essential and recent development in the engineering and management of data centers. Data centers are complex systems requiring ongoing support, and their high value for keeping business continuity operations is crucial. The book presents core topics on the planning, design, implementation, operation and control, and sustainability of a data center from a didactical and practitioner viewpoint. Chapters include: · Foundations of data centers: Key Concepts and Taxonomies · ITSDM: A Methodology for IT Services Design · Managing Risks on Data Centers through Dashboards · Risk Analysis in Data Center Disaster Recovery Plans · Best practices in Data Center Management Case: KIO Networks · QoS in NaaS (Network as a Service) using Software Defined Networking · Optimization of Data Center Fault-Tolerance Design · Energetic Data Centre Design Considering Energy Efficiency Improvements During Operation · Demand-side Flexibility and Supply-side Management: The Use Case of Data Centers and Energy Utilities · DevOps: Foundations and its Utilization in Data Centers · Sustainable and Resilient Network Infrastructure Design for Cloud Data Centres · Application Software in Cloud-Ready Data Centers This book bridges the gap between academia and the industry, offering essential reading for practitioners in data centers, researchers in the area, and faculty teaching related courses on data centers. The book can be used as a complementary text for traditional courses on Computer Networks, as well as innovative courses on IT Architecture, IT Service Management, IT Operations, and Data Centers.
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.
Cloud Data Centers and Cost Modeling establishes a framework for strategic decision-makers to facilitate the development of cloud data centers. Just as building a house requires a clear understanding of the blueprints, architecture, and costs of the project; building a cloud-based data center requires similar knowledge. The authors take a theoretical and practical approach, starting with the key questions to help uncover needs and clarify project scope. They then demonstrate probability tools to test and support decisions, and provide processes that resolve key issues. After laying a foundation of cloud concepts and definitions, the book addresses data center creation, infrastructure development, cost modeling, and simulations in decision-making, each part building on the previous. In this way the authors bridge technology, management, and infrastructure as a service, in one complete guide to data centers that facilitates educated decision making. - Explains how to balance cloud computing functionality with data center efficiency - Covers key requirements for power management, cooling, server planning, virtualization, and storage management - Describes advanced methods for modeling cloud computing cost including Real Option Theory and Monte Carlo Simulations - Blends theoretical and practical discussions with insights for developers, consultants, and analysts considering data center development
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.