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Accessing Replicated Data In A Large Scale Distributed System
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Book Synopsis Accessing Replicated Data in a Large-scale Distributed System by : Richard Andrew Golding
Download or read book Accessing Replicated Data in a Large-scale Distributed System written by Richard Andrew Golding and published by . This book was released on 1991 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "Replicating a data object improves the availability of the data, and can improve access latency by locating copies of the object near to their use. When accessing replicated objects across an internetwork, the time to access different replicas is non-uniform. Further, the probability that a particular replica is inaccessible is much higher in an internetwork than in a local-area network (LAN) because of partitions and the many intermediate hosts and networks that can fail. We report three replica-accessing algorithms which can be tuned to minimize either access latency or the number of messages sent. These algorithms assume only an unreliable datagram mechanism for communicating with replicas. Our work extends previous investigations into the performance of replication algorithms by assuming unreliable communication. We have investigated the performance of these algorithms by measuring the communication behavior of the Internet, and by building discrete-event simulations based on our measurements. We find that almost all message failures are either transient or due to long-term host failure, so that retrying messages a few times adds only a small amount to the overall message traffic while improving both access latency as long as the probability of message failure is small. Moreover, the algorithms which retry messages on failure provide significantly improved availability over those which do not."
Book Synopsis Understanding Distributed Systems, Second Edition by : Roberto Vitillo
Download or read book Understanding Distributed Systems, Second Edition written by Roberto Vitillo and published by Roberto Vitillo. This book was released on 2022-02-23 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning to build distributed systems is hard, especially if they are large scale. It's not that there is a lack of information out there. You can find academic papers, engineering blogs, and even books on the subject. The problem is that the available information is spread out all over the place, and if you were to put it on a spectrum from theory to practice, you would find a lot of material at the two ends but not much in the middle. That is why I decided to write a book that brings together the core theoretical and practical concepts of distributed systems so that you don't have to spend hours connecting the dots. This book will guide you through the fundamentals of large-scale distributed systems, with just enough details and external references to dive deeper. This is the guide I wished existed when I first started out, based on my experience building large distributed systems that scale to millions of requests per second and billions of devices. If you are a developer working on the backend of web or mobile applications (or would like to be!), this book is for you. When building distributed applications, you need to be familiar with the network stack, data consistency models, scalability and reliability patterns, observability best practices, and much more. Although you can build applications without knowing much of that, you will end up spending hours debugging and re-architecting them, learning hard lessons that you could have acquired in a much faster and less painful way. However, if you have several years of experience designing and building highly available and fault-tolerant applications that scale to millions of users, this book might not be for you. As an expert, you are likely looking for depth rather than breadth, and this book focuses more on the latter since it would be impossible to cover the field otherwise. The second edition is a complete rewrite of the previous edition. Every page of the first edition has been reviewed and where appropriate reworked, with new topics covered for the first time.
Book Synopsis Management of Replicated Data in Large Scale Systems by : Noha Adly
Download or read book Management of Replicated Data in Large Scale Systems written by Noha Adly and published by . This book was released on 1995 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Foundations of Data Organization and Algorithms by : David B. Lomet
Download or read book Foundations of Data Organization and Algorithms written by David B. Lomet and published by Springer Science & Business Media. This book was released on 1993-09-29 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the proceedings of the Fourth International Conference on Data Organization and Algorithms, FODO '93, held in Evanston, Illinois. FODO '93 reflects the maturing of the database field which hasbeen driven by the enormous growth in the range of applications for databasesystems. The "non-standard" applications of the not-so-distant past, such ashypertext, multimedia, and scientific and engineering databases, now provide some of the central motivation for the advances in hardware technology and data organizations and algorithms. The volume contains 3 invited talks, 22 contributed papers, and 2 panel papers. The contributed papers are grouped into parts on multimedia, access methods, text processing, query processing, industrial applications, physical storage, andnew directions.
Book Synopsis Data Intensive Distributed Computing: Challenges and Solutions for Large-scale Information Management by : Kosar, Tevfik
Download or read book Data Intensive Distributed Computing: Challenges and Solutions for Large-scale Information Management written by Kosar, Tevfik and published by IGI Global. This book was released on 2012-01-31 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book focuses on the challenges of distributed systems imposed by the data intensive applications, and on the different state-of-the-art solutions proposed to overcome these challenges"--Provided by publisher.
Book Synopsis Handbook of Large-Scale Distributed Computing in Smart Healthcare by : Samee U. Khan
Download or read book Handbook of Large-Scale Distributed Computing in Smart Healthcare written by Samee U. Khan and published by Springer. This book was released on 2017-08-07 with total page 630 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume offers readers various perspectives and visions for cutting-edge research in ubiquitous healthcare. The topics emphasize large-scale architectures and high performance solutions for smart healthcare, healthcare monitoring using large-scale computing techniques, Internet of Things (IoT) and big data analytics for healthcare, Fog Computing, mobile health, large-scale medical data mining, advanced machine learning methods for mining multidimensional sensor data, smart homes, and resource allocation methods for the BANs. The book contains high quality chapters contributed by leading international researchers working in domains, such as e-Health, pervasive and context-aware computing, cloud, grid, cluster, and big-data computing. We are optimistic that the topics included in this book will provide a multidisciplinary research platform to the researchers, practitioners, and students from biomedical engineering, health informatics, computer science, and computer engineering.
Book Synopsis Large-Scale Distributed Computing and Applications: Models and Trends by : Cristea, Valentin
Download or read book Large-Scale Distributed Computing and Applications: Models and Trends written by Cristea, Valentin and published by IGI Global. This book was released on 2010-05-31 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many applications follow the distributed computing paradigm, in which parts of the application are executed on different network-interconnected computers. The extension of these applications in terms of number of users or size has led to an unprecedented increase in the scale of the infrastructure that supports them. Large-Scale Distributed Computing and Applications: Models and Trends offers a coherent and realistic image of today's research results in large scale distributed systems, explains state-of-the-art technological solutions for the main issues regarding large scale distributed systems, and presents the benefits of using large scale distributed systems and the development process of scientific and commercial distributed applications.
Book Synopsis Replication Techniques in Distributed Systems by : Abdelsalam A. Helal
Download or read book Replication Techniques in Distributed Systems written by Abdelsalam A. Helal and published by Springer Science & Business Media. This book was released on 2005-12-29 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Replication Techniques in Distributed Systems organizes and surveys the spectrum of replication protocols and systems that achieve high availability by replicating entities in failure-prone distributed computing environments. The entities discussed in this book vary from passive untyped data objects, to typed and complex objects, to processes and messages. Replication Techniques in Distributed Systems contains definitions and introductory material suitable for a beginner, theoretical foundations and algorithms, an annotated bibliography of commercial and experimental prototype systems, as well as short guides to recommended further readings in specialized subtopics. This book can be used as recommended or required reading in graduate courses in academia, as well as a handbook for designers and implementors of systems that must deal with replication issues in distributed systems.
Book Synopsis Handbook of Parallel Computing by : Sanguthevar Rajasekaran
Download or read book Handbook of Parallel Computing written by Sanguthevar Rajasekaran and published by CRC Press. This book was released on 2007-12-20 with total page 1224 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability of parallel computing to process large data sets and handle time-consuming operations has resulted in unprecedented advances in biological and scientific computing, modeling, and simulations. Exploring these recent developments, the Handbook of Parallel Computing: Models, Algorithms, and Applications provides comprehensive coverage on a
Book Synopsis Algorithms for Parallel Processing by : Michael T. Heath
Download or read book Algorithms for Parallel Processing written by Michael T. Heath and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IMA Volume in Mathematics and its Applications ALGORITHMS FOR PARALLEL PROCESSING is based on the proceedings of a workshop that was an integral part of the 1996-97 IMA program on "MATHEMATICS IN HIGH-PERFORMANCE COMPUTING. " The workshop brought together algorithm developers from theory, combinatorics, and scientific computing. The topics ranged over models, linear algebra, sorting, randomization, and graph algorithms and their analysis. We thank Michael T. Heath of University of lllinois at Urbana (Com puter Science), Abhiram Ranade of the Indian Institute of Technology (Computer Science and Engineering), and Robert S. Schreiber of Hewlett Packard Laboratories for their excellent work in organizing the workshop and editing the proceedings. We also take this opportunity to thank the National Science Founda tion (NSF) and the Army Research Office (ARO), whose financial support made the workshop possible. A vner Friedman Robert Gulliver v PREFACE The Workshop on Algorithms for Parallel Processing was held at the IMA September 16 - 20, 1996; it was the first workshop of the IMA year dedicated to the mathematics of high performance computing. The work shop organizers were Abhiram Ranade of The Indian Institute of Tech nology, Bombay, Michael Heath of the University of Illinois, and Robert Schreiber of Hewlett Packard Laboratories. Our idea was to bring together researchers who do innovative, exciting, parallel algorithms research on a wide range of topics, and by sharing insights, problems, tools, and methods to learn something of value from one another.
Book Synopsis Computational Science - ICCS 2006 by : Vassil N. Alexandrov
Download or read book Computational Science - ICCS 2006 written by Vassil N. Alexandrov and published by Springer. This book was released on 2006-05-10 with total page 1128 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is Volume IV of the four-volume set LNCS 3991-3994 constituting the refereed proceedings of the 6th International Conference on Computational Science, ICCS 2006. The 98 revised full papers and 29 revised poster papers of the main track presented together with 500 accepted workshop papers were carefully reviewed and selected for inclusion in the four volumes. The coverage spans the whole range of computational science.
Book Synopsis Distributed Computing by : Ajay D. Kshemkalyani
Download or read book Distributed Computing written by Ajay D. Kshemkalyani and published by Cambridge University Press. This book was released on 2011-03-03 with total page 965 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designing distributed computing systems is a complex process requiring a solid understanding of the design problems and the theoretical and practical aspects of their solutions. This comprehensive textbook covers the fundamental principles and models underlying the theory, algorithms and systems aspects of distributed computing. Broad and detailed coverage of the theory is balanced with practical systems-related issues such as mutual exclusion, deadlock detection, authentication, and failure recovery. Algorithms are carefully selected, lucidly presented, and described without complex proofs. Simple explanations and illustrations are used to elucidate the algorithms. Important emerging topics such as peer-to-peer networks and network security are also considered. With vital algorithms, numerous illustrations, examples and homework problems, this textbook is suitable for advanced undergraduate and graduate students of electrical and computer engineering and computer science. Practitioners in data networking and sensor networks will also find this a valuable resource. Additional resources are available online at www.cambridge.org/9780521876346.
Book Synopsis DISTRIBUTED SYSTEM by : Garima Verma/Khusboo Saxena/Sandeep Saxena
Download or read book DISTRIBUTED SYSTEM written by Garima Verma/Khusboo Saxena/Sandeep Saxena and published by BPB Publications. This book was released on 2018-06-01 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: Description:The book has been written in such a way that the concepts are explained in detail, giving adequate emphasis on examples. To make clarity on the topic, diagrams are given extensively throughout the text. Various questions are included the vary widely in type and difficulty to understand the text. The book discusses design issues for phases of Distributed System in substantial depth. The stress is more on problem solving. The students preparing for PHD entrance will also get benefit from this text, for them University questions are also given.Table Of Contents:Chapter 1 : Introduction To Distributed SystemChapter 2 : System ModelsChapter 3 : Theoretical FoundationChapter 4 : Distributed Mutual ExclusionChapter 5 : Distributed Deadlock DetectionChapter 6 : Agreement ProtocolChapter 7 : Distributed File SystemChapter 8 : Distributed Shared MemoryChapter 9 : Failure Recovery In Distributed SystemChapter 10 : Fault ToleranceChapter 11 : Transaction and Concurrency ControlChapter 12 : Distributed TransactionChapter 13 : Replication
Book Synopsis Computational Science - ICCS 2006 by :
Download or read book Computational Science - ICCS 2006 written by and published by Springer Science & Business Media. This book was released on 2006 with total page 1128 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Fundamentals of Big Data Analytics - An Introduction with Java, Hadoop, Pig, and Hive by : Mr.Rama Bhadra Rao Maddu
Download or read book Fundamentals of Big Data Analytics - An Introduction with Java, Hadoop, Pig, and Hive written by Mr.Rama Bhadra Rao Maddu and published by PND Publishers. This book was released on with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book title "Fundamentals of Big Data Analytics - An Introduction with Java, Hadoop, Pig, and Hive" accurately reflects the comprehensive coverage of essential data structures in Java, as well as the detailed exploration of big data technologies like Hadoop, Pig, and Hive. It provides a solid foundation in both programming with Java and handling large-scale data using popular big data tools. This title effectively captures the essence and scope of the content presented in the chapters you outlined.
Book Synopsis Handbook of Research on Scalable Computing Technologies by : Li, Kuan-Ching
Download or read book Handbook of Research on Scalable Computing Technologies written by Li, Kuan-Ching and published by IGI Global. This book was released on 2009-07-31 with total page 1018 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book presents, discusses, shares ideas, results and experiences on the recent important advances and future challenges on enabling technologies for achieving higher performance"--Provided by publisher.
Book Synopsis Large-Scale Simulation by : Dan Chen
Download or read book Large-Scale Simulation written by Dan Chen and published by CRC Press. This book was released on 2017-12-19 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Large-Scale Simulation: Models, Algorithms, and Applications gives you firsthand insight on the latest advances in large-scale simulation techniques. Most of the research results are drawn from the authors’ papers in top-tier, peer-reviewed, scientific conference proceedings and journals. The first part of the book presents the fundamentals of large-scale simulation, including high-level architecture and runtime infrastructure. The second part covers middleware and software architecture for large-scale simulations, such as decoupled federate architecture, fault tolerant mechanisms, grid-enabled simulation, and federation communities. In the third part, the authors explore mechanisms—such as simulation cloning methods and algorithms—that support quick evaluation of alternative scenarios. The final part describes how distributed computing technologies and many-core architecture are used to study social phenomena. Reflecting the latest research in the field, this book guides you in using and further researching advanced models and algorithms for large-scale distributed simulation. These simulation tools will help you gain insight into large-scale systems across many disciplines.
