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Robust And Scalable Information Management In Distributed Systems


Robust And Scalable Information Management In Distributed Systems
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Robust And Scalable Information Management In Distributed Systems


Robust And Scalable Information Management In Distributed Systems
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Author : Amit Mahajan
language : en
Publisher:
Release Date : 2003

Robust And Scalable Information Management In Distributed Systems written by Amit Mahajan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.




Reliable Distributed Systems


Reliable Distributed Systems
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Author : Kenneth Birman
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-07-02

Reliable Distributed Systems written by Kenneth Birman and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-07-02 with Computers categories.


Explains fault tolerance in clear terms, with concrete examples drawn from real-world settings Highly practical focus aimed at building "mission-critical" networked applications that remain secure



Software Project Management For Distributed Computing


Software Project Management For Distributed Computing
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Author : Zaigham Mahmood
language : en
Publisher: Springer
Release Date : 2017-04-04

Software Project Management For Distributed Computing written by Zaigham Mahmood and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-04 with Computers categories.


This unique volume explores cutting-edge management approaches to developing complex software that is efficient, scalable, sustainable, and suitable for distributed environments. Practical insights are offered by an international selection of pre-eminent authorities, including case studies, best practices, and balanced corporate analyses. Emphasis is placed on the use of the latest software technologies and frameworks for life-cycle methods, including the design, implementation and testing stages of software development. Topics and features: · Reviews approaches for reusability, cost and time estimation, and for functional size measurement of distributed software applications · Discusses the core characteristics of a large-scale defense system, and the design of software project management (SPM) as a service · Introduces the 3PR framework, research on crowdsourcing software development, and an innovative approach to modeling large-scale multi-agent software systems · Examines a system architecture for ambient assisted living, and an approach to cloud migration and management assessment · Describes a software error proneness mechanism, a novel Scrum process for use in the defense domain, and an ontology annotation for SPM in distributed environments · Investigates the benefits of agile project management for higher education institutions, and SPM that combines software and data engineering This important text/reference is essential reading for project managers and software engineers involved in developing software for distributed computing environments. Students and researchers interested in SPM technologies and frameworks will also find the work to be an invaluable resource. Prof. Zaigham Mahmood is a Senior Technology Consultant at Debesis Education UK and an Associate Lecturer (Research) at the University of Derby, UK. He also holds positions as Foreign Professor at NUST and IIU in Islamabad, Pakistan, and Professor Extraordinaire at the North West University Potchefstroom, South Africa.



Designing Distributed Systems


Designing Distributed Systems
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Author : Brendan Burns
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2018-02-20

Designing Distributed Systems written by Brendan Burns and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-20 with Computers categories.


Without established design patterns to guide them, developers have had to build distributed systems from scratch, and most of these systems are very unique indeed. Today, the increasing use of containers has paved the way for core distributed system patterns and reusable containerized components. This practical guide presents a collection of repeatable, generic patterns to help make the development of reliable distributed systems far more approachable and efficient. Author Brendan Burns—Director of Engineering at Microsoft Azure—demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. Understand how patterns and reusable components enable the rapid development of reliable distributed systems Use the side-car, adapter, and ambassador patterns to split your application into a group of containers on a single machine Explore loosely coupled multi-node distributed patterns for replication, scaling, and communication between the components Learn distributed system patterns for large-scale batch data processing covering work-queues, event-based processing, and coordinated workflows



Foundations Of Scalable Systems


Foundations Of Scalable Systems
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Author : Ian Gorton
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-06-30

Foundations Of Scalable Systems written by Ian Gorton and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-30 with Computers categories.


In many systems, scalability becomes the primary driver as the user base grows. Attractive features and high utility breed success, which brings more requests to handle and more data to manage. But organizations reach a tipping point when design decisions that made sense under light loads suddenly become technical debt. This practical book covers design approaches and technologies that make it possible to scale an application quickly and cost-effectively. Author Ian Gorton takes software architects and developers through the foundational principles of distributed systems. You'll explore the essential ingredients of scalable solutions, including replication, state management, load balancing, and caching. Specific chapters focus on the implications of scalability for databases, microservices, and event-based streaming systems. You will focus on: Foundations of scalable systems: Learn basic design principles of scalability, its costs, and architectural tradeoffs Designing scalable services: Dive into service design, caching, asynchronous messaging, serverless processing, and microservices Designing scalable data systems: Learn data system fundamentals, NoSQL databases, and eventual consistency versus strong consistency Designing scalable streaming systems: Explore stream processing systems and scalable event-driven processing



Guide To Reliable Distributed Systems


Guide To Reliable Distributed Systems
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Author : Amy Elser
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-01-15

Guide To Reliable Distributed Systems written by Amy Elser and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-15 with Computers categories.


This book describes the key concepts, principles and implementation options for creating high-assurance cloud computing solutions. The guide starts with a broad technical overview and basic introduction to cloud computing, looking at the overall architecture of the cloud, client systems, the modern Internet and cloud computing data centers. It then delves into the core challenges of showing how reliability and fault-tolerance can be abstracted, how the resulting questions can be solved, and how the solutions can be leveraged to create a wide range of practical cloud applications. The author’s style is practical, and the guide should be readily understandable without any special background. Concrete examples are often drawn from real-world settings to illustrate key insights. Appendices show how the most important reliability models can be formalized, describe the API of the Isis2 platform, and offer more than 80 problems at varying levels of difficulty.



Robustness In Large Scale Distributed Systems


Robustness In Large Scale Distributed Systems
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Author : Asim Ali
language : en
Publisher:
Release Date : 2010

Robustness In Large Scale Distributed Systems written by Asim Ali and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.


During the last decade, computing and communication technologies observed exponential growth both in hardware and software. The direct result of this growth is the emergence of global scale distributed systems like, information diffusion systems, cellular networks, remote computing, etc. Integration of sensor devices with networks helped to develop smart systems that are more interactive, dynamic and adaptable to the running environment. Future applications are envisioned as completely decentralized self-managing massive distributed systems running in smart environments on top of Internet or grid infrastructure. Such large-scale systems are difficult to design, develop and maintain due to many constraints like heterogeneity of resources, diverse working environments, unreliable communications, etc. Wireless sensor networks and computational grids are two important examples of such large-scale systems. Most desirable properties of the protocols for these networks include scalability, self-management, and fault tolerance. These are the three main areas this thesis focuses on. In this thesis we contribute to this domain in three ways. First we propose and evaluate a scalable directory management protocol for general distributed systems where update latency time is independent of the system size. In our second contribution we design and implement a scalable distributed version of an existing wireless network simulator: WSNet. We run our parallel simulator, XS-WSNet, on Grid5000 and achieve extreme simulation scalability. Our third contribution is the development of a dependability benchmarking mechanism for testing WSN protocols against fault and adversarial environments. Our tool allows the user to simulate natural faulty environments for WSN, like harsh weather conditions as well as to simulate dynamic attacks to the wireless network.



Research Challenges For A Scalable Distributed Information Management System


Research Challenges For A Scalable Distributed Information Management System
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Author :
language : en
Publisher:
Release Date : 2004

Research Challenges For A Scalable Distributed Information Management System written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computer science categories.


A Scalable Distributed Information Management System (SDIMS) that aggregates information about large-scale networked systems can serve as a basic building for a broad-range of large-scale distributed applications simplifying the design, development, and deployment of such services. In this document, we outline four key requirements such an aggregation system should satisfy to be useful as a general middleware building block -- scalability with both nodes and data attributes, flexibility to accommodate broad range of services, administrative autonomy and isolation for availability and security, and robustness to reconfigurations in the system. We propose a new aggregation framework that leverages Distributed Hash Tables (DHTs) and a new aggregation abstraction that builds on a previously proposed abstraction in Astrolabe. We also present details of several significant applications that we propose to build on top of SDIMS.



Transactions On Large Scale Data And Knowledge Centered Systems Xlviii


Transactions On Large Scale Data And Knowledge Centered Systems Xlviii
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Author : Abdelkader Hameurlain
language : en
Publisher: Springer Nature
Release Date : 2021-05-17

Transactions On Large Scale Data And Knowledge Centered Systems Xlviii written by Abdelkader Hameurlain and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-17 with Computers categories.


The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g., computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 48th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains 8 invited papers dedicated to the memory of Prof. Dr. Roland Wagner. The topics covered include distributed database systems, NewSQL, scalable transaction management, strong consistency, caches, data warehouse, ETL, reinforcement learning, stochastic approximation, multi-agent systems, ontology, model-driven development, organisational modelling, digital government, new institutional economics and data governance.



Future Directions In Distributed Computing


Future Directions In Distributed Computing
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Author : André Schiper
language : en
Publisher: Springer
Release Date : 2003-07-01

Future Directions In Distributed Computing written by André Schiper and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-07-01 with Computers categories.


Every year we witness acceleration in the availability, deployment, and use of distributed applications. However building increasingly sophisticated applications for extant and emerging networked systems continues to be challenging for several reasons: – Abstract models of computation used in distributed systems research often do not fully capture the limitations and the unpredictable nature of realistic distributed computing platforms; – Fault-tolerance and ef?ciency of computation are dif?cult to combine when the c- puting medium is subject to changes, asynchrony, and failures; – Middleware used for constructing distributed software does not provide services most suitable for sophisticated distributed applications; – Middleware services are speci?ed informally and without precise guarantees of e- ciency, fault-tolerance, scalability, and compositionality; – Speci?cation of distributed deployment of software systems is often left out of the development process; – Finally, there persists an organizational and cultural gap between engineering groups developing systems in a commercial enterprise, and research groups advancing the scienti?c state-of-the-art in academic and industrial settings. The objectives of this book are: (1) to serve as a motivation for de?ning future research programs in distributed computing, (2) to help identify areas where practitioners and engineers on the one hand and scientists and researchers on the other can improve the state of distributed computing through synergistic efforts, and (3) to motivate graduate students interested in entering the exciting research ?eld of distributed computing.