This book is an introduction to analytical performance modeling for computer systems, i.e., writing equations to describe their performance behavior. It is accessible to readers who have taken college-level courses in calculus and probability, networking, and operating systems. This is not a training manual for becoming an expert performance analyst. Rather, the objective is to help the reader construct simple models for analyzing and understanding the systems that they are interested in. Describing a complicated system abstractly with mathematical equations requires a careful choice of assumptions and approximations. They make the model tractable, but they must not remove essential characteristics of the system, nor introduce spurious properties. To help the reader understand the choices and their implications, this book discusses the analytical models for 40 research papers. These papers cover a broad range of topics: GPUs and disks, routers and crawling, databases and multimedia, worms and wireless, multicore and cloud, security and energy, etc. An appendix provides many questions for readers to exercise their understanding of the models in these papers.
This book is an introduction to analytical performance modeling for computer systems, i.e., writing equations to describe their performance behavior. It is accessible to readers who have taken college-level courses in calculus and probability, networking and operating systems. This is not a training manual for becoming an expert performance analyst. Rather, the objective is to help the reader construct simple models for analyzing and understanding the systems that they are interested in.
Perspectives in Computing: Locking Performance in Centralized Databases reports some results from a project whose aim was the development of a performance model for concurrency control algorithms. This book proposes a model that is powerful enough to help users understand, compare, and control the performance of the algorithms. Organized into four chapters, this book begins with an overview of the model in its simplest form. This text then explains locking, which uses a combination of blocking and restarts to achieve correctness. Other chapters test the model and the method of analysis by comparing the model's predictions to simulation results wherein the prediction and simulations indicate that restarts can cause thrashing. This book discusses as well the formula for throughput and for the restart rate. The final chapter deals with the adaptation of the model to timestamping and distributed algorithms. This book is a valuable resource for mathematicians and research workers.
This book is an introduction to analytical performance modeling for computer systems, i.e., writing equations to describe their performance behavior. It is accessible to readers who have taken college-level courses in calculus and probability, networking, and operating systems. This is not a training manual for becoming an expert performance analyst. Rather, the objective is to help the reader construct simple models for analyzing and understanding the systems in which they are interested. Describing a complicated system abstractly with mathematical equations requires a careful choice of assumptions and approximations. These assumptions and approximations make the model tractable, but they must not remove essential characteristics of the system, nor introduce spurious properties. To help the reader understand the choices and their implications, this book discusses the analytical models in 20 research papers. These papers cover a broad range of topics: processors and disks, databases and multimedia, worms and wireless, etc. An Appendix provides some questions for readers to exercise their understanding of the models in these papers. Table of Contents: Preliminaries / Concepts and Little's Law / Single Queues / Open Systems / Markov Chains / Closed Systems / Bottlenecks and Flow Equivalence / Deterministic Approximations / Transient Analysis / Experimental Validation and Analysis / Analysis with an Analytical Model
This book provides a technical and specialised discussion of contemporary and emerging issues in foreign exchange and financial markets by addressing the issues of risk management and theory and hypothesis development, which have general implications for finance theory and foreign exchange market management. It offers an in-depth, comprehensive analysis of the issues concerning the volatility of exchange rates. The book has three main objectives. First, it applies the integrated study of exchange rate volatility in terms of depth and breadth. Second, it applies the integrated study of exchange rate volatility in Malaysia, as a case study of a developing country. Malaysia had imposed capital control measures in the past and has now liberalised its exchange rate market and will continue to liberalise it further in the long run. Hence, the need to understand exchange rate volatility measurement and management will be even more important in the future. Third, the book highlights new conditional volatility models for a developing country, such as Malaysia, and develops advanced econometric models which have produced results for sound risk management strategies and for achieving risk management in the financial market and the economy. Additionally, the authors recommend risk management themes which may be of relevance to other developing countries. This work can be used as a reference book by fund managers, financial market analysts, researchers, academics, practitioners, policy makers and postgraduate students in the areas of finance, accounting, business and financial economics. It can also be a supplementary text for Ph.D. and Masters’ students in these areas.
Singapore is known internationally for its successful economic development. Key to its economic successes is a variety of policies put into place over the past 50 years since its independence. Singapore's Economic Development: Retrospection and Reflections provides a retrospective analysis of independent Singapore's economic development, from the perspective of different policy domains each considered by different expert scholars in that particular field. The book is written by academic economists in a style that is accessible to non-experts. Each chapter includes reviews of past scholarship, current data on each policy area, and reflections on required or desirable future policy changes and outcomes"--
Business, Government and Labor in the Economic Development of Singapore and Southeast Asia analyzes the inter-linked and evolving roles of private sector business, government public policy, and labor markets in the economic development of Singapore and its Southeast Asian neighborhood. It does this through 16 essays written by Prof. Linda Y C Lim, an early and long-established scholar of these subjects, and published over a 35-year period. For Singapore, often considered the world's most successful economy, the essays highlight the determining role of government's industrial and social policy through to the present day, when the growth model of the past faces many external market and domestic resource constraints. In the rest of Southeast Asia, in contrast, the essays explore how private sector business, dominated by the locally-domiciled ethnic Chinese minority, thrived and drove economic growth in underdeveloped markets with imperfect institutions, and consider if and how this might change with China's increasing presence in the regional economy. A final set of essays analyzes the forces underlying women's employment, from labor-intensive Southeast Asian export factories in the 1980s to Singapore's foreign-labor-dependent economy and its current productivity challenges. Taken together, the essays show how government, business and labor interact in the process of economic development.
Geared toward advanced undergraduates and graduate students, this outstanding text surveys aeroelastic problems, their historical background, basic physical concepts, and the principles of analysis.
Engineering mechanics is one of the fundamental branches of science that is important in the education of professional engineers of any major. Most of the basic engineering courses, such as mechanics of materials, fluid and gas mechanics, machine design, mechatronics, acoustics, vibrations, etc. are based on engineering mechanics courses. In order to absorb the materials of engineering mechanics, it is not enough to consume just theoretical laws and theorems—a student also must develop an ability to solve practical problems. Therefore, it is necessary to solve many problems independently. This book is a part of a four-book series designed to supplement the engineering mechanics courses. This series instructs and applies the principles required to solve practical engineering problems in the following branches of mechanics: statics, kinematics, dynamics, and advanced kinetics. Each book contains between 6 and 8 topics on its specific branch and each topic features 30 problems to be assigned as homework, tests, and/or midterm/final exams with the consent of the instructor. A solution of one similar sample problem from each topic is provided. This first book contains seven topics of statics, the branch of mechanics concerned with the analysis of forces acting on construction systems without an acceleration (a state of the static equilibrium). The book targets the undergraduate students of the sophomore/junior level majoring in science and engineering.
This book is an introduction to analytical performance modeling for computer systems, i.e., writing equations to describe their performance behavior. It is accessible to readers who have taken college-level courses in calculus and probability, networking and operating systems. This is not a training manual for becoming an expert performance analyst. Rather, the objective is to help the reader construct simple models for analyzing and understanding the systems that they are interested in.
Perspectives in Computing: Locking Performance in Centralized Databases reports some results from a project whose aim was the development of a performance model for concurrency control algorithms. This book proposes a model that is powerful enough to help users understand, compare, and control the performance of the algorithms. Organized into four chapters, this book begins with an overview of the model in its simplest form. This text then explains locking, which uses a combination of blocking and restarts to achieve correctness. Other chapters test the model and the method of analysis by comparing the model's predictions to simulation results wherein the prediction and simulations indicate that restarts can cause thrashing. This book discusses as well the formula for throughput and for the restart rate. The final chapter deals with the adaptation of the model to timestamping and distributed algorithms. This book is a valuable resource for mathematicians and research workers.
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