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Author: Shikharesh Majumdar
Publisher: John Wiley & Sons
ISBN: 1119912954
Category : Computers
Languages : en
Pages : 324
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Book Description
Comprehensive guide to the principles, algorithms, and techniques underlying resource management for clouds, big data, and sensor-based systems Resource Management on Distributed Systems provides helpful guidance by describing algorithms and techniques for managing resources on parallel and distributed systems, including grids, clouds, and parallel processing-based platforms for big data analytics. The book focuses on four general principles of resource management and their impact on system performance, energy usage, and cost, including end-of-chapter exercises. The text includes chapters on sensors, autoscaling on clouds, complex event processing for streaming data, and data filtering techniques for big data systems. The book also covers results of applying the discussed techniques on simulated as well as real systems (including clouds and big data processing platforms), and techniques for handling errors associated with user predicted task execution times. Written by a highly qualified academic with significant research experience in the field, Resource Management on Distributed Systems includes information on sample topics such as: Attributes of parallel/distributed applications that have an intimate relationship with system behavior and performance, plus their related performance metrics. Handling a lack of a prior knowledge of local operating systems on individual nodes in a large system. Detection and management of complex events (that correspond to the occurrence of multiple raw events) on a platform for streaming analytics. Techniques for reducing data latency for multiple operator-based queries in an environment processing large textual documents. With comprehensive coverage of core topics in the field, Resource Management on Distributed Systems is a comprehensive guide to resource management in a single publication and is an essential read for professionals, researchers and students working with distributed systems.
Author: Shikharesh Majumdar
Publisher: John Wiley & Sons
ISBN: 1119912954
Category : Computers
Languages : en
Pages : 324
Get Book Here
Book Description
Comprehensive guide to the principles, algorithms, and techniques underlying resource management for clouds, big data, and sensor-based systems Resource Management on Distributed Systems provides helpful guidance by describing algorithms and techniques for managing resources on parallel and distributed systems, including grids, clouds, and parallel processing-based platforms for big data analytics. The book focuses on four general principles of resource management and their impact on system performance, energy usage, and cost, including end-of-chapter exercises. The text includes chapters on sensors, autoscaling on clouds, complex event processing for streaming data, and data filtering techniques for big data systems. The book also covers results of applying the discussed techniques on simulated as well as real systems (including clouds and big data processing platforms), and techniques for handling errors associated with user predicted task execution times. Written by a highly qualified academic with significant research experience in the field, Resource Management on Distributed Systems includes information on sample topics such as: Attributes of parallel/distributed applications that have an intimate relationship with system behavior and performance, plus their related performance metrics. Handling a lack of a prior knowledge of local operating systems on individual nodes in a large system. Detection and management of complex events (that correspond to the occurrence of multiple raw events) on a platform for streaming analytics. Techniques for reducing data latency for multiple operator-based queries in an environment processing large textual documents. With comprehensive coverage of core topics in the field, Resource Management on Distributed Systems is a comprehensive guide to resource management in a single publication and is an essential read for professionals, researchers and students working with distributed systems.
Author: Anwesha Mukherjee
Publisher: Springer Nature
ISBN: 9819726441
Category :
Languages : en
Pages : 319
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Book Description
Author: Lars Christian Wolf
Publisher: Springer Science & Business Media
ISBN: 1461314135
Category : Computers
Languages : en
Pages : 152
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Book Description
Resource Management for Distributed Multimedia Systems addresses the problems and challenges of handling several continuous- media data streams in networked multimedia environments. The work demonstrates how resource management mechanisms can be integrated into a stream handling system. The resulting system includes functions for Quality of Service (QoS) calculations, scheduling, determination of resource requirements, and methods to reduce resource requirements. The work explains the following: a suitable system architecture and resource management scheme that allows for the provision and enforcement of QoS guarantee, resource scheduling mechanisms for CPU and buffer space, mechanisms to measure and collect resource requirements, methods to extend resource management to future scenarios by allowing the reservation of resources in advance and offering sealing mechanisms. . Resource Management for Distributed Multimedia Systems is a comprehensive view of resource management for a broad technical audience that includes computer scientists and engineers involved in developing multimedia applications.
Author: Florin Pop
Publisher: Springer
ISBN: 3319448811
Category : Computers
Languages : en
Pages : 509
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Book Description
Serving as a flagship driver towards advance research in the area of Big Data platforms and applications, this book provides a platform for the dissemination of advanced topics of theory, research efforts and analysis, and implementation oriented on methods, techniques and performance evaluation. In 23 chapters, several important formulations of the architecture design, optimization techniques, advanced analytics methods, biological, medical and social media applications are presented. These chapters discuss the research of members from the ICT COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet). This volume is ideal as a reference for students, researchers and industry practitioners working in or interested in joining interdisciplinary works in the areas of intelligent decision systems using emergent distributed computing paradigms. It will also allow newcomers to grasp the key concerns and their potential solutions.
Author: Zaigham Mahmood
Publisher: Springer
ISBN: 3319543253
Category : Computers
Languages : en
Pages : 399
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Book Description
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.
Author: Rohit Anand
Publisher: John Wiley & Sons
ISBN: 1394188064
Category : Computers
Languages : en
Pages : 469
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Book Description
META-HEURISTIC ALGORITHMS FOR ADVANCED DISTRIBUTED SYSTEMS Discover a collection of meta-heuristic algorithms for distributed systems in different application domains Meta-heuristic techniques are increasingly gaining favor as tools for optimizing distributed systems—generally, to enhance the utility and precision of database searches. Carefully applied, they can increase system effectiveness, streamline operations, and reduce cost. Since many of these techniques are derived from nature, they offer considerable scope for research and development, with the result that this field is growing rapidly. Meta-Heuristic Algorithms for Advanced Distributed Systems offers an overview of these techniques and their applications in various distributed systems. With strategies based on both global and local searching, it covers a wide range of key topics related to meta-heuristic algorithms. Those interested in the latest developments in distributed systems will find this book indispensable. Meta-Heuristic Algorithms for Advanced Distributed Systems readers will also find: Analysis of security issues, distributed system design, stochastic optimization techniques, and more Detailed discussion of meta-heuristic techniques such as the genetic algorithm, particle swam optimization, and many others Applications of optimized distribution systems in healthcare and other key??industries Meta-Heuristic Algorithms for Advanced Distributed Systems is ideal for academics and researchers studying distributed systems, their design, and their applications.
Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1799853403
Category : Computers
Languages : en
Pages : 2700
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Book Description
Distributed systems intertwine with our everyday lives. The benefits and current shortcomings of the underpinning technologies are experienced by a wide range of people and their smart devices. With the rise of large-scale IoT and similar distributed systems, cloud bursting technologies, and partial outsourcing solutions, private entities are encouraged to increase their efficiency and offer unparalleled availability and reliability to their users. The Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing is a vital reference source that provides valuable insight into current and emergent research occurring within the field of distributed computing. It also presents architectures and service frameworks to achieve highly integrated distributed systems and solutions to integration and efficient management challenges faced by current and future distributed systems. Highlighting a range of topics such as data sharing, wireless sensor networks, and scalability, this multi-volume book is ideally designed for system administrators, integrators, designers, developers, researchers, academicians, and students.
Author: Andy Oram
Publisher: "O'Reilly Media, Inc."
ISBN: 1491942975
Category : Computers
Languages : en
Pages : 450
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Book Description
The term "peer-to-peer" has come to be applied to networks that expect end users to contribute their own files, computing time, or other resources to some shared project. Even more interesting than the systems' technical underpinnings are their socially disruptive potential: in various ways they return content, choice, and control to ordinary users. While this book is mostly about the technical promise of peer-to-peer, we also talk about its exciting social promise. Communities have been forming on the Internet for a long time, but they have been limited by the flat interactive qualities of email and Network newsgroups. People can exchange recommendations and ideas over these media, but have great difficulty commenting on each other's postings, structuring information, performing searches, or creating summaries. If tools provided ways to organize information intelligently, and if each person could serve up his or her own data and retrieve others' data, the possibilities for collaboration would take off. Peer-to-peer technologies along with metadata could enhance almost any group of people who share an interest--technical, cultural, political, medical, you name it. This book presents the goals that drive the developers of the best-known peer-to-peer systems, the problems they've faced, and the technical solutions they've found. Learn here the essentials of peer-to-peer from leaders of the field: Nelson Minar and Marc Hedlund of target="new">Popular Power, on a history of peer-to-peer Clay Shirky of acceleratorgroup, on where peer-to-peer is likely to be headed Tim O'Reilly of O'Reilly & Associates, on redefining the public's perceptions Dan Bricklin, cocreator of Visicalc, on harvesting information from end-users David Anderson of SETI@home, on how SETI@Home created the world's largest computer Jeremie Miller of Jabber, on the Internet as a collection of conversations Gene Kan of Gnutella and GoneSilent.com, on lessons from Gnutella for peer-to-peer technologies Adam Langley of Freenet, on Freenet's present and upcoming architecture Alan Brown of Red Rover, on a deliberately low-tech content distribution system Marc Waldman, Lorrie Cranor, and Avi Rubin of AT&T Labs, on the Publius project and trust in distributed systems Roger Dingledine, Michael J. Freedman, andDavid Molnar of Free Haven, on resource allocation and accountability in distributed systems Rael Dornfest of O'Reilly Network and Dan Brickley of ILRT/RDF Web, on metadata Theodore Hong of Freenet, on performance Richard Lethin of Reputation Technologies, on how reputation can be built online Jon Udell ofBYTE and Nimisha Asthagiri andWalter Tuvell of Groove Networks, on security Brandon Wiley of Freenet, on gateways between peer-to-peer systems You'll find information on the latest and greatest systems as well as upcoming efforts in this book.
Author: Cristea, Valentin
Publisher: IGI Global
ISBN: 161520704X
Category : Computers
Languages : en
Pages : 275
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Book Description
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.
Author: Roberto Vitillo
Publisher: Roberto Vitillo
ISBN: 1838430210
Category : Computers
Languages : en
Pages : 344
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Book Description
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.
