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The Design and Implementation of a Log-structured File System

The Design and Implementation of a Log-structured File System
Author: Mendel Rosenblum
Publisher:
Total Pages: 448
Release: 1992
Genre: File organization (Computer science)
ISBN:

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I have implemented a prototype log-structured file system called Sprite LFS; it outperforms current Unix file systems by an order of magnitude for small-file writes and matches or exceeds Unix performance for reads and large writes. Even when the overhead for cleaning is included, Sprite LFS can use 70% of the disk bandwidth for writing. Unix file systems typically can use only 5-10%.


Data Compression in Digital Systems

Data Compression in Digital Systems
Author: Roy Hoffman
Publisher: Springer Science & Business Media
Total Pages: 424
Release: 2012-12-06
Genre: Computers
ISBN: 1461560314

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Data compression is now indispensable to products and services of many industries including computers, communications, healthcare, publishing and entertainment. This invaluable resource introduces this area to information system managers and others who need to understand how it is changing the world of digital systems. For those who know the technology well, it reveals what happens when data compression is used in real-world applications and provides guidance for future technology development.


Data Compression

Data Compression
Author: David Salomon
Publisher: Springer Science & Business Media
Total Pages: 440
Release: 2013-03-09
Genre: Computers
ISBN: 1475729391

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From archiving data to CD-ROMs, and from coding theory to image analysis, many facets of computing make use of data compression in one form or another. This is an overview of the many different types of compression, including a taxonomy, an analysis of the most common systems of compression, discussion of their relative benefits and disadvantages, and their most common uses. Readers are presupposed to have a basic understanding of computer science -- essentially the storage of data in bytes and bits and computing terminology -- but otherwise this book is self-contained. It divides neatly into four main parts based on the main branches of data compression: run length encoding, statistical methods, dictionary-based methods, and lossy image compression. All of the most well-known compression techniques are covered including Zip, BinHex, Huffman coding, and GIF.


Handbook of Data Compression

Handbook of Data Compression
Author: David Salomon
Publisher: Springer Science & Business Media
Total Pages: 1370
Release: 2010-01-18
Genre: Computers
ISBN: 1848829035

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Data compression is one of the most important fields and tools in modern computing. From archiving data, to CD-ROMs, and from coding theory to image analysis, many facets of modern computing rely upon data compression. This book provides a comprehensive reference for the many different types and methods of compression. Included are a detailed and helpful taxonomy, analysis of most common methods, and discussions on the use and comparative benefits of methods and description of "how to" use them. Detailed descriptions and explanations of the most well-known and frequently used compression methods are covered in a self-contained fashion, with an accessible style and technical level for specialists and non-specialists.


Parallel Compression of Data Chunks of a Shared Data Object Using a Log-structured File System

Parallel Compression of Data Chunks of a Shared Data Object Using a Log-structured File System
Author:
Publisher:
Total Pages:
Release: 2016
Genre:
ISBN:

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Techniques are provided for parallel compression of data chunks being written to a shared object. A client executing on a compute node or a burst buffer node in a parallel computing system stores a data chunk generated by the parallel computing system to a shared data object on a storage node by compressing the data chunk; and providing the data compressed data chunk to the storage node that stores the shared object. The client and storage node may employ Log-Structured File techniques. The compressed data chunk can be de-compressed by the client when the data chunk is read. A storage node stores a data chunk as part of a shared object by receiving a compressed version of the data chunk from a compute node; and storing the compressed version of the data chunk to the shared data object on the storage node.


Disconnected Operation in a Distributed File System

Disconnected Operation in a Distributed File System
Author: James J. Kistler
Publisher: Springer Science & Business Media
Total Pages: 284
Release: 1995-12-13
Genre: Computers
ISBN: 9783540606277

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This book is based on the author's PhD thesis which was selected during the 1993 ACM Doctoral Dissertation Competition as one of the three best submissions. The focus of this work is on the issue of availability in distributed file systems. It presents the important new technique called disconnected operation, in which clients mask failures and voluntary network detachments by emulating the functionality of servers where actual server-oriented solutions are inadequate. This permits client operation even under complete isolation from the server; the clean integration of mobile computers into the system is an important side-effect of the new technique. The design and implementation of disconnected file service in a working system, the Coda file system, is described in detail.


Proceedings of the NIELIT's International Conference on Communication, Electronics and Digital Technology

Proceedings of the NIELIT's International Conference on Communication, Electronics and Digital Technology
Author: Sri Niwas Singh
Publisher: Springer Nature
Total Pages: 724
Release: 2023-06-26
Genre: Technology & Engineering
ISBN: 9819916992

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The book presents selected papers from NIELIT's International Conference on Communication, Electronics and Digital Technology (NICE-DT 2023) held during February 10–11, 2023, in New Delhi, India. The book covers state-of-the-art research insights on artificial intelligence, machine learning, big data, data analytics, cyber security and forensic, network and mobile security, advance computing, cloud computing, quantum computing, VLSI and semiconductors, electronics system, Internet of Things, robotics and automations, blockchain and software technology, digital technologies for future, assistive technology for divyangjan (people with disabilities) and Strategy for Digital Skilling for building a global Future Ready workforce.


Resource Management for Big Data Platforms

Resource Management for Big Data Platforms
Author: Florin Pop
Publisher: Springer
Total Pages: 509
Release: 2016-10-27
Genre: Computers
ISBN: 3319448811

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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.