Data Deduplication For High Performance Storage System

Author : Dan Feng
Publisher : Springer Nature
ISBN 13 : 9811901120
Total Pages : 170 pages
Book Rating : 4.26/5 ( download)

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Download or read book Data Deduplication for High Performance Storage System written by Dan Feng and published by Springer Nature. This book was released on 2022-06-02 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprehensively introduces data deduplication technologies for storage systems. It first presents the overview of data deduplication including its theoretical basis, basic workflow, application scenarios and its key technologies, and then the book focuses on each key technology of the deduplication to provide an insight into the evolution of the technology over the years including chunking algorithms, indexing schemes, fragmentation reduced schemes, rewriting algorithm and security solution. In particular, the state-of-the-art solutions and the newly proposed solutions are both elaborated. At the end of the book, the author discusses the fundamental trade-offs in each of deduplication design choices and propose an open-source deduplication prototype. The book with its fundamental theories and complete survey can guide the beginners, students and practitioners working on data deduplication in storage system. It also provides a compact reference in the perspective of key data deduplication technologies for those researchers in developing high performance storage solutions.

Author : Tin Thein Thwel
Publisher : Academic Press
ISBN 13 : 0128236337
Total Pages : 406 pages
Book Rating : 4.38/5 ( download)

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Download or read book Data Deduplication Approaches written by Tin Thein Thwel and published by Academic Press. This book was released on 2020-11-25 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the age of data science, the rapidly increasing amount of data is a major concern in numerous applications of computing operations and data storage. Duplicated data or redundant data is a main challenge in the field of data science research. Data Deduplication Approaches: Concepts, Strategies, and Challenges shows readers the various methods that can be used to eliminate multiple copies of the same files as well as duplicated segments or chunks of data within the associated files. Due to ever-increasing data duplication, its deduplication has become an especially useful field of research for storage environments, in particular persistent data storage. Data Deduplication Approaches provides readers with an overview of the concepts and background of data deduplication approaches, then proceeds to demonstrate in technical detail the strategies and challenges of real-time implementations of handling big data, data science, data backup, and recovery. The book also includes future research directions, case studies, and real-world applications of data deduplication, focusing on reduced storage, backup, recovery, and reliability. Includes data deduplication methods for a wide variety of applications Includes concepts and implementation strategies that will help the reader to use the suggested methods Provides a robust set of methods that will help readers to appropriately and judiciously use the suitable methods for their applications Focuses on reduced storage, backup, recovery, and reliability, which are the most important aspects of implementing data deduplication approaches Includes case studies

Author : Daehee Kim
Publisher : Springer
ISBN 13 : 3319422804
Total Pages : 262 pages
Book Rating : 4.00/5 ( download)

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Download or read book Data Deduplication for Data Optimization for Storage and Network Systems written by Daehee Kim and published by Springer. This book was released on 2016-09-08 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces fundamentals and trade-offs of data de-duplication techniques. It describes novel emerging de-duplication techniques that remove duplicate data both in storage and network in an efficient and effective manner. It explains places where duplicate data are originated, and provides solutions that remove the duplicate data. It classifies existing de-duplication techniques depending on size of unit data to be compared, the place of de-duplication, and the time of de-duplication. Chapter 3 considers redundancies in email servers and a de-duplication technique to increase reduction performance with low overhead by switching chunk-based de-duplication and file-based de-duplication. Chapter 4 develops a de-duplication technique applied for cloud-storage service where unit data to be compared are not physical-format but logical structured-format, reducing processing time efficiently. Chapter 5 displays a network de-duplication where redundant data packets sent by clients are encoded (shrunk to small-sized payload) and decoded (restored to original size payload) in routers or switches on the way to remote servers through network. Chapter 6 introduces a mobile de-duplication technique with image (JPEG) or video (MPEG) considering performance and overhead of encryption algorithm for security on mobile device.

Author : Michela Taufer
Publisher : Springer
ISBN 13 : 331946079X
Total Pages : 710 pages
Book Rating : 4.96/5 ( download)

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Download or read book High Performance Computing written by Michela Taufer and published by Springer. This book was released on 2016-10-05 with total page 710 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes revised selected papers from 7 workshops that were held in conjunction with the ISC High Performance 2016 conference in Frankfurt, Germany, in June 2016. The 45 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They stem from the following workshops: Workshop on Exascale Multi/Many Core Computing Systems, E-MuCoCoS; Second International Workshop on Communication Architectures at Extreme Scale, ExaComm; HPC I/O in the Data Center Workshop, HPC-IODC; International Workshop on OpenPOWER for HPC, IWOPH; Workshop on the Application Performance on Intel Xeon Phi – Being Prepared for KNL and Beyond, IXPUG; Workshop on Performance and Scalability of Storage Systems, WOPSSS; and International Workshop on Performance Portable Programming Models for Accelerators, P3MA.

Author : L. Grandinetti
Publisher : IOS Press
ISBN 13 : 1614995834
Total Pages : 168 pages
Book Rating : 4.38/5 ( download)

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Download or read book Big Data and High Performance Computing written by L. Grandinetti and published by IOS Press. This book was released on 2015-10-20 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data has been much in the news in recent years, and the advantages conferred by the collection and analysis of large datasets in fields such as marketing, medicine and finance have led to claims that almost any real world problem could be solved if sufficient data were available. This is of course a very simplistic view, and the usefulness of collecting, processing and storing large datasets must always be seen in terms of the communication, processing and storage capabilities of the computing platforms available. This book presents papers from the International Research Workshop, Advanced High Performance Computing Systems, held in Cetraro, Italy, in July 2014. The papers selected for publication here discuss fundamental aspects of the definition of Big Data, as well as considerations from practice where complex datasets are collected, processed and stored. The concepts, problems, methodologies and solutions presented are of much more general applicability than may be suggested by the particular application areas considered. As a result the book will be of interest to all those whose work involves the processing of very large data sets, exascale computing and the emerging fields of data science

Author : Victor Malyshkin
Publisher : Springer
ISBN 13 : 3319629328
Total Pages : 521 pages
Book Rating : 4.22/5 ( download)

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Download or read book Parallel Computing Technologies written by Victor Malyshkin and published by Springer. This book was released on 2017-08-17 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 14th International Conference on Parallel Computing Technologies, PaCT 2017, held in Nizhny Novgorod, Russia, in September 2017. The 25 full papers and 24 short papers presented were carefully reviewed and selected from 93 submissions. The papers are organized in topical sections on mainstream parallel computing, parallel models and algorithms in numerical computation, cellular automata and discrete event systems, organization of parallel computation, parallel computing applications.

Author : Tong Liu
Publisher :
ISBN 13 :
Total Pages : 138 pages
Book Rating : 4.87/5 ( download)

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Download or read book EFFICIENT DATA REDUCTION IN HPC AND DISTRIBUTED STORAGE SYSTEMS written by Tong Liu and published by . This book was released on 2021 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: In modern distributed storage systems, space efficiency and system reliability are two major concerns. As a result, contemporary storage systems often employ data deduplication and erasure coding to reduce the storage overhead and provide fault tolerance, respectively. However, little work has been done to explore the relationship between these two techniques.Scientific simulations on high-performance computing (HPC) systems can generate large amounts of floating-point data per run. To mitigate the data storage bottleneck and lower the data volume, it is common for floating-point compressors to be employed. As compared to lossless compressors, lossy compressors, such as SZ and ZFP, can reduce data volume more aggressively while maintaining the usefulness of the data. However, a reduction ratio of more than two orders of magnitude is almost impossible without seriously distorting the data. In deep learning, the autoencoder technique has shown great potential for data compression, in particular with images. Whether the autoencoder can deliver similar performance on scientific data, however, is unknown. Nowadays, modern industry data centers have employed erasure codes to provide reliability for large amounts of data at a low cost. Although erasure codes provide optimal storage efficiency, they suffer from high repair costs compared to traditional three-way replication: when a data miss occurs in a data center, erasure codes would require high disk usage and network bandwidth consumption across nodes and racks to repair the failed data. This dissertation lists our research results on the above three mentioned challenges in order to either optimize or solve the issues for the HPC and distributed storage systems. Details are as follows: To solve the data storage challenge for the erasure-coded deduplication system, we propose Reference-counter Aware Deduplication (RAD), which employs the features of deduplication into erasure coding to improve garbage collection performance when deletion occurs. RAD wisely encodes the data according to the reference counter, which is provided by the deduplication level and thus reduces the encoding overhead when garbage collection is conducted. Further, since the reference counter also represents the reliability levels of the data chunks, we additionally made some effort to explore the trade-offs between storage overhead and reliability level among different erasure codes. The experiment results show that RAD can effectively improve the GC performance by up to 24.8% and the reliability analysis shows that, with certain data features, RAD can provide both better reliability and better storage efficiency compared to the traditional Round-Robin placement. To solve the data processing challenge for HPC system, we for the first time conduct a comprehensive study on the use of autoencoders to compress real-world scientific data and illustrate several key findings on using autoencoders for scientific data reduction. We implement an autoencoder-based prototype with conventional wisdom to reduce floating-point data. Our study shows that the out-of-the-box implementation needs to be further tuned in order to achieve high compression ratios and satisfactory error bounds. Our evaluation results show that, for most of the test datasets, the autoencoder outperforms SZ and ZFP by 2 to 4X in compression ratios. Our practices and lessons learned can direct future optimizations for using autoencoders to compress scientific data. To solve the data transfer challenge for the distributed storage systems,we propose RPR, a rack-aware pipeline repair scheme for erasure-coded distributed storage systems. RPR for the first time investigates the insights of the racks, and explores the connection between the node level and rack level to help improve the repair performance when a single failure or multiple failures occur in a data center. The evaluation results on several common RS code configurations show that, for single-block failures, our RPR scheme reduces the total repair time by up to 81.5% compared to the traditional RS code repair method and 50.2% compared to the state-of-the-art CAR algorithm. For multi-block failures, RPR reduces the total repair time and cross-rack data transfer traffic by up to 64.5% and 50%, respectively, over the traditional repair.

Author : Millie Pant
Publisher : Springer Nature
ISBN 13 : 9811382530
Total Pages : 236 pages
Book Rating : 4.36/5 ( download)

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Download or read book Performance Management of Integrated Systems and its Applications in Software Engineering written by Millie Pant and published by Springer Nature. This book was released on 2019-09-10 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a key solution for current and future technological issues, adopting an integrated system approach with a combination of software engineering applications. Focusing on how software dominates and influences the performance, reliability, maintainability and availability of complex integrated systems, it proposes a comprehensive method of improving the entire process. The book provides numerous qualitative and quantitative analyses and examples of varied systems to help readers understand and interpret the derived results and outcomes. In addition, it examines and reviews foundational work associated with decision and control systems for information systems, to inspire researchers and industry professionals to develop new and integrated foundations, theories, principles, and tools for information systems. It also offers guidance and suggests best practices for the research community and practitioners alike. The book’s twenty-two chapters examine and address current and future research topics in areas like vulnerability analysis, secured software requirements analysis, progressive models for planning and enhancing system efficiency, cloud computing, healthcare management, and integrating data-information-knowledge in decision-making. As such it enables organizations to adopt integrated approaches to system and software engineering, helping them implement technological advances and drive performance. This in turn provides actionable insights on each and every technical and managerial level so that timely action-based decisions can be taken to maintain a competitive edge. Featuring conceptual work and best practices in integrated systems and software engineering applications, this book is also a valuable resource for all researchers, graduate and undergraduate students, and management professionals with an interest in the fields of e-commerce, cloud computing, software engineering, software & system security and analysis, data-information-knowledge systems and integrated systems.

Author : Alex Osuna
Publisher : IBM Redbooks
ISBN 13 : 0738435244
Total Pages : 322 pages
Book Rating : 4.44/5 ( download)

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Download or read book Implementing IBM Storage Data Deduplication Solutions written by Alex Osuna and published by IBM Redbooks. This book was released on 2011-03-24 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Until now, the only way to capture, store, and effectively retain constantly growing amounts of enterprise data was to add more disk space to the storage infrastructure, an approach that can quickly become cost-prohibitive as information volumes continue to grow and capital budgets for infrastructure do not. In this IBM® Redbooks® publication, we introduce data deduplication, which has emerged as a key technology in dramatically reducing the amount of, and therefore the cost associated with storing, large amounts of data. Deduplication is the art of intelligently reducing storage needs through the elimination of redundant data so that only one instance of a data set is actually stored. Deduplication reduces data an order of magnitude better than common data compression techniques. IBM has the broadest portfolio of deduplication solutions in the industry, giving us the freedom to solve customer issues with the most effective technology. Whether it is source or target, inline or post, hardware or software, disk or tape, IBM has a solution with the technology that best solves the problem. This IBM Redbooks publication covers the current deduplication solutions that IBM has to offer: IBM ProtecTIER® Gateway and Appliance IBM Tivoli® Storage Manager IBM System Storage® N series Deduplication

Author : San Murugesan
Publisher : John Wiley & Sons
ISBN 13 : 1118821955
Total Pages : 744 pages
Book Rating : 4.54/5 ( download)

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Download or read book Encyclopedia of Cloud Computing written by San Murugesan and published by John Wiley & Sons. This book was released on 2016-05-09 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Encyclopedia of Cloud Computing provides IT professionals, educators, researchers and students with a compendium of cloud computing knowledge. Authored by a spectrum of subject matter experts in industry and academia, this unique publication, in a single volume, covers a wide range of cloud computing topics, including technological trends and developments, research opportunities, best practices, standards, and cloud adoption. Providing multiple perspectives, it also addresses questions that stakeholders might have in the context of development, operation, management, and use of clouds. Furthermore, it examines cloud computing's impact now and in the future. The encyclopedia presents 56 chapters logically organized into 10 sections. Each chapter covers a major topic/area with cross-references to other chapters and contains tables, illustrations, side-bars as appropriate. Furthermore, each chapter presents its summary at the beginning and backend material, references and additional resources for further information.