Analytical Performance Modeling for Computer Systems, Third Edition

Author: Tay Y.C.

Publisher: Springer Nature

ISBN: 9783031018039

Category: Mathematics

Page: 156

View: 288

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.
Analytical Performance Modeling for Computer Systems

Author: Y.C. Tay

Publisher: Morgan & Claypool Publishers

ISBN: 9781681733906

Category: Computers

Page: 171

View: 788

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.
Creating Autonomous Vehicle Systems, Second Edition

Author: Liu Shaoshan

Publisher: Springer Nature

ISBN: 9783031018053

Category: Mathematics

Page: 221

View: 756

This book is one of the first technical overviews of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences designing autonomous vehicle systems. These systems are complex, consisting of three major subsystems: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics operating system and hardware platform; and (3) the cloud platform, which includes data storage, simulation, high-definition (HD) mapping, and deep learning model training. The algorithm subsystem extracts meaningful information from sensor raw data to understand its environment and make decisions as to its future actions. The client subsystem integrates these algorithms to meet real-time and reliability requirements. The cloud platform provides offline computing and storage capabilities for autonomous vehicles. Using the cloud platform, new algorithms can be tested so as to update the HD map—in addition to training better recognition, tracking, and decision models. Since the first edition of this book was released, many universities have adopted it in their autonomous driving classes, and the authors received many helpful comments and feedback from readers. Based on this, the second edition was improved by extending and rewriting multiple chapters and adding two commercial test case studies. In addition, a new section entitled “Teaching and Learning from this Book” was added to help instructors better utilize this book in their classes. The second edition captures the latest advances in autonomous driving and that it also presents usable real-world case studies to help readers better understand how to utilize their lessons in commercial autonomous driving projects. This book should be useful to students, researchers, and practitioners alike. Whether you are an undergraduate or a graduate student interested in autonomous driving, you will find herein a comprehensive overview of the whole autonomous vehicle technology stack. If you are an autonomous driving practitioner, the many practical techniques introduced in this book will be of interest to you. Researchers will also find extensive references for an effective, deeper exploration of the various technologies.
Principles of Blockchain Systems

Author: Antonio Fernández Anta

Publisher: Morgan & Claypool Publishers

ISBN: 9781636391694

Category: Computers

Page: 235

View: 726

This book is the first to present the state of the art and provide technical focus on the latest advances in the foundations of blockchain systems. It is a collaborative work between specialists in cryptography, distributed systems, formal languages, and economics, and addresses hot topics in blockchains from a theoretical perspective: cryptographic primitives, consensus, formalization of blockchain properties, game theory applied to blockchains, and economical issues. This book reflects the expertise of the various authors, and is intended to benefit researchers, students, and engineers who seek an understanding of the theoretical foundations of blockchains.
Blockchain Platforms

Author: Hijfte Stijn Van

Publisher: Springer Nature

ISBN: 9783031018046

Category: Mathematics

Page: 230

View: 924

This book introduces all the technical features that make up blockchain technology today. It starts with a thorough explanation of all technological concepts necessary to understand any discussions related to distributed ledgers and a short history of earlier implementations. It then discusses in detail how the Bitcoin network looks and what changes are coming in the near future, together with a range of altcoins that were created on the same base code. To get an even better idea, the book shortly explores how Bitcoin might be forked before going into detail on the Ethereum network and cryptocurrencies running on top of the network, smart contracts, and more. The book introduces the Hyperledger foundation and the tools offered to create private blockchain solutions. For those willing, it investigates directed acyclic graphs (DAGs) and several of its implementations, which could solve several of the problems other blockchain networks are still dealing with to this day. In Chapter 4, readers can find an overview of blockchain networks that can be used to build solutions of their own and the tools that can help them in the process.
Automated Verification of Concurrent Search Structures

Author: Krishna Siddharth

Publisher: Springer Nature

ISBN: 9783031018060

Category: Mathematics

Page: 182

View: 948

Search structures support the fundamental data storage primitives on key-value pairs: insert a pair, delete by key, search by key, and update the value associated with a key. Concurrent search structures are parallel algorithms to speed access to search structures on multicore and distributed servers. These sophisticated algorithms perform fine-grained synchronization between threads, making them notoriously difficult to design correctly. Indeed, bugs have been found both in actual implementations and in the designs proposed by experts in peer-reviewed publications. The rapid development and deployment of these concurrent algorithms has resulted in a rift between the algorithms that can be verified by the state-of-the-art techniques and those being developed and used today. The goal of this book is to show how to bridge this gap in order to bring the certified safety of formal verification to high-performance concurrent search structures. Similar techniques and frameworks can be applied to concurrent graph and network algorithms beyond search structures.
Performance Modelling with Deterministic and Stochastic Petri Nets

Author: Christoph Lindemann

Publisher: John Wiley & Son Limited

ISBN: UCSD:31822025704446

Category: Computers

Page: 446

View: 244

This text provides an up-to-date treatment of the fundamental techniques and algorithms for numerical analysis of deterministic and stochastic Petri nets, a particular stochastic modelling formalism, and the application of this modelling formalism to performance analysis for parallel computer architectures.

Author: Patrick Dowd

Publisher: IEEE Computer Society

ISBN: 0818669020

Category: Computers

Page: 443

View: 309

The proceedings of the January 1995 workshop, held to discuss modeling and analysis of computer and communication systems, comprise papers in honor of Edward G. Coffman, Jr., and regular papers submitted for consideration. Sessions are devoted to systems; queueing systems; networking; distributed simulation; multiprocessor architecture; distributed systems; modeling techniques; parallel systems; processor, network and system simulation; optimizing parallel programs; systems modeling; Petri nets, neural networks and genetic algorithms; and real time; and a session in honor of E.G. Coffman, Jr.'s 60th birthday. No index. Annotation copyright by Book News, Inc., Portland, OR.
Modeling and Analysis

Author: Hisashi Kobayashi

Publisher: Addison-Wesley

ISBN: UOM:39015000462930

Category: Computers

Page: 480

View: 428

This book is an attempt to fill the gap between practitioners and theoreticians, and make the modeling and analysis of system performance more methodical and more realistic. It provides a cohesive introduction to the modeling and analysis techniques. A lack of system knowledge may not handicap the reader in digesting the material, successful application of these techniques to actual modeling requires a great deal of system knowledge. The problem of mapping a given or hypothetical system onto a model is as important as solving the model itself. In order to formulate the real system into an abstract form, one must be knowledgeable about which models are mathematically tractable, and how sensitive model solutions will be to specific assumptions and approximations introduced.
Performance Analysis and Modeling of Digital Transmission Systems

Author: William Turin

Publisher: Springer

ISBN: 1461347815

Category: Mathematics

Page: 441

View: 941

This book is an expanded third edition of the book Performance Analysis of Digital Transmission Systems, originally published in 1990. Second edition of the book titled Digital Transmission Systems: Performance Analysis and Modeling was published in 1998. The book is intended for those who design communication systems and networks. A computer network designer is interested in selecting communication channels, error protection schemes, and link control protocols. To do this efficiently, one needs a mathematical model that accurately predicts system behavior. Two basic problems arise in mathematical modeling: the problem of identifying a system and the problem of applying a model to the system analysis. System identification consists of selecting a class of mathematical objects to describe fundamental properties of the system behavior. We use a specific class of hidden Markov models (HMMs) to model communication systems. This model was introduced by C. E. Shannon more than 50 years ago as a Noisy Discrete Channel with a finite number of states. The model is described by a finite number of matrices whose elements are estimated on the basis of experimental data. We develop several methods of model identification and show their relationship to other methods of data analysis, such as spectral methods, autoregressive moving average CARMA) approximations, and rational transfer function approximations.