This report presents an in-depth comparative study of Industry-Science Relationships (ISR) in France and the United Kingdom and a special chapter on Japan.

A comprehensive collection of benchmarks for measuring dependability in hardware-software systems As computer systems have become more complex and mission-critical, it is imperative for systems engineers and researchers to have metrics for a system's dependability, reliability, availability, and serviceability. Dependability benchmarks are useful for guiding development efforts for system providers, acquisition choices of system purchasers, and evaluations of new concepts by researchers in academia and industry. This book gathers together all dependability benchmarks developed to date by industry and academia and explains the various principles and concepts of dependability benchmarking. It collects the expert knowledge of DBench, a research project funded by the European Union, and the IFIP Special Interest Group on Dependability Benchmarking, to shed light on this important area. It also provides a large panorama of examples and recommendations for defining dependability benchmarks. Dependability Benchmarking for Computer Systems includes contributions from a credible mix of industrial and academic sources: IBM, Intel, Microsoft, Sun Microsystems, Critical Software, Carnegie Mellon University, LAAS-CNRS, Technical University of Valencia, University of Coimbra, and University of Illinois. It is an invaluable resource for engineers, researchers, system vendors, system purchasers, computer industry consultants, and system integrators.

This book constitutes the reviewed proceedings of the first Conference on Performance Evaluation and Benchmarking, TPCTC 2009, held in Lyon, France, August 24-28,2009. The 16 full papers and two keynote papers were carefully selected from 34 submissions. This book considers issues such as appliance, business intelligence, cloud computing, complex event processing, database performance optimizations, green computing, data compression, disaster tolerance and recovery, energy and space efficiency, hardware innovations, high speed data generation, hybrid workloads or operational data warehousing, unstructured data management, software management and maintenance, virtualization and very large memory systems

offers methodological framework for answering key benchmarking questionsonly substantial work covering this topicworld-wide coverage and usageBenchmarking is a buzzword of the last decade that describes a method for comparing different companies, by measuring various data, performance and goals. This book focuses on the methodological aspects of the right selection of benchmarking partners.

While the term benchmarking is commonplace nowadays in institutional research and higher education, less common, is a solid understanding of what it really means and how it has been, and can be, used effectively. This volume begins by defining benchmarking as “a strategic and structured approach whereby an organization compares aspects of its processes and/or outcomes to those of another organization or set of organizations to identify opportunities for improvement.” Building on this definition, the chapters provide a brief history of the evolution and emergence of benchmarking in general and in higher education in particular. The authors apply benchmarking to: Enrollment management and student success Institutional effectiveness The potential economic impact of higher education institutions on their host communities. They look at the use of national external survey data in institutional benchmarking and selection of peer institutions, introduce multivariate statistical methodologies for guiding that selection, and consider a novel application of baseball sabermetric methods. The volume offers a solid starting point for those new to benchmarking in higher education and provides examples of current best practices and prospective new directions. This is the 156th volume of this Jossey-Bass series. Always timely and comprehensive, New Directions for Institutional Research provides planners and administrators in all types of academic institutions with guidelines in such areas as resource coordination, information analysis, program evaluation, and institutional management.

Benchmarking is essential for those developing and implementing water policy. If decision-makers do not know where they have been or where they are, it would seem to be impossible to set reasonable targets for future performance. Information on water/sewerage system (WSS) operations, investments, and outputs is essential for good management and oversight. This book is designed to help decision makers identify the data required for performance comparisons over time and across water utilities, to understand the strengths and limitations of alternative benchmarking methodologies, and to perform (or commission) benchmark studies. This book provides an overview of the strengths and limitations of different methodologies for making performance comparisons over time and across water utilities (metric benchmarking). In addition, it identifies ways to determine the robustness of performance rankings. Current benchmarking activities in Latin America, Asia, Africa, Central Europe/Asia, and OECD nations are summarized. Five basic approaches to benchmarking characterize current studies: Core indicators and a summary or overall performance Indicator (partial metric method), Performance scores based on production or cost estimates (“total” methods), Performance relative to a model company (engineering approach), Process benchmarking, and Customer survey benchmarking. This volume is of interest to the water professionals, water utility managers and senior staff of regulatory agencies, professionals in related government agencies, and consultants. Visit the IWA WaterWiki to read and share material related to this title: http://www.iwawaterwiki.org/xwiki/bin/view/Articles/InfrastructureRegulationStateOwnedEnterprisesVsInvestor-ownedInfrastructureOperators

Social benchmarking is an evaluation method in which the performance levels of different public social programs are compared, either relatively to each other or to an absolute value. The first part of this research discusses the use of social benchmarking for the evaluation of active labour market policies. This part also develops a social benchmark model, which can be used to assess the performance of active labour market policies in general, and work-based employment programs in specific. The second part of this research consists of the actual benchmarking of the work-based employment programs in five countries: Australia, Canada, the Netherlands, Switzerland and the United Kingdom