Consistent Distributed Storage

Consistent Distributed Storage

Author: Vincent Gramoli

Publisher: Springer Nature

Published: 2022-05-31

Total Pages: 176

ISBN-13: 3031020154

DOWNLOAD EBOOK

Providing a shared memory abstraction in distributed systems is a powerful tool that can simplify the design and implementation of software systems for networked platforms. This enables the system designers to work with abstract readable and writable objects without the need to deal with the complexity and dynamism of the underlying platform. The key property of shared memory implementations is the consistency guarantee that it provides under concurrent access to the shared objects. The most intuitive memory consistency model is atomicity because of its equivalence with a memory system where accesses occur serially, one at a time. Emulations of shared atomic memory in distributed systems is an active area of research and development. The problem proves to be challenging, and especially so in distributed message passing settings with unreliable components, as is often the case in networked systems. We present several approaches to implementing shared memory services with the help of replication on top of message-passing distributed platforms subject to a variety of perturbations in the computing medium.


Book Synopsis Consistent Distributed Storage by : Vincent Gramoli

Download or read book Consistent Distributed Storage written by Vincent Gramoli and published by Springer Nature. This book was released on 2022-05-31 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing a shared memory abstraction in distributed systems is a powerful tool that can simplify the design and implementation of software systems for networked platforms. This enables the system designers to work with abstract readable and writable objects without the need to deal with the complexity and dynamism of the underlying platform. The key property of shared memory implementations is the consistency guarantee that it provides under concurrent access to the shared objects. The most intuitive memory consistency model is atomicity because of its equivalence with a memory system where accesses occur serially, one at a time. Emulations of shared atomic memory in distributed systems is an active area of research and development. The problem proves to be challenging, and especially so in distributed message passing settings with unreliable components, as is often the case in networked systems. We present several approaches to implementing shared memory services with the help of replication on top of message-passing distributed platforms subject to a variety of perturbations in the computing medium.


Benchmarking, Consistency, Distributed Database Management Systems, Distributed Systems, Eventual Consistency

Benchmarking, Consistency, Distributed Database Management Systems, Distributed Systems, Eventual Consistency

Author: Bermbach, David

Publisher: KIT Scientific Publishing

Published: 2014-07-22

Total Pages: 202

ISBN-13: 3731501864

DOWNLOAD EBOOK

Cloud storage services and NoSQL systems typically offer only "Eventual Consistency", a rather weak guarantee covering a broad range of potential data consistency behavior. The degree of actual (in-)consistency, however, is unknown. This work presents novel solutions for determining the degree of (in-)consistency via simulation and benchmarking, as well as the necessary means to resolve inconsistencies leveraging this information.


Book Synopsis Benchmarking, Consistency, Distributed Database Management Systems, Distributed Systems, Eventual Consistency by : Bermbach, David

Download or read book Benchmarking, Consistency, Distributed Database Management Systems, Distributed Systems, Eventual Consistency written by Bermbach, David and published by KIT Scientific Publishing. This book was released on 2014-07-22 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cloud storage services and NoSQL systems typically offer only "Eventual Consistency", a rather weak guarantee covering a broad range of potential data consistency behavior. The degree of actual (in-)consistency, however, is unknown. This work presents novel solutions for determining the degree of (in-)consistency via simulation and benchmarking, as well as the necessary means to resolve inconsistencies leveraging this information.


Benchmarking Eventually Consistent Distributed Storage Systems

Benchmarking Eventually Consistent Distributed Storage Systems

Author: David Bermbach

Publisher:

Published: 2020-10-09

Total Pages: 198

ISBN-13: 9781013280405

DOWNLOAD EBOOK

Cloud storage services and NoSQL systems typically offer only ""Eventual Consistency"", a rather weak guarantee covering a broad range of potential data consistency behavior. The degree of actual (in-)consistency, however, is unknown. This work presents novel solutions for determining the degree of (in-)consistency via simulation and benchmarking, as well as the necessary means to resolve inconsistencies leveraging this information. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.


Book Synopsis Benchmarking Eventually Consistent Distributed Storage Systems by : David Bermbach

Download or read book Benchmarking Eventually Consistent Distributed Storage Systems written by David Bermbach and published by . This book was released on 2020-10-09 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cloud storage services and NoSQL systems typically offer only ""Eventual Consistency"", a rather weak guarantee covering a broad range of potential data consistency behavior. The degree of actual (in-)consistency, however, is unknown. This work presents novel solutions for determining the degree of (in-)consistency via simulation and benchmarking, as well as the necessary means to resolve inconsistencies leveraging this information. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.


Trade-offs in Implementing Consistent Distributed Storage

Trade-offs in Implementing Consistent Distributed Storage

Author: Nicholas C. Nicolaou

Publisher:

Published: 2011

Total Pages: 0

ISBN-13:

DOWNLOAD EBOOK


Book Synopsis Trade-offs in Implementing Consistent Distributed Storage by : Nicholas C. Nicolaou

Download or read book Trade-offs in Implementing Consistent Distributed Storage written by Nicholas C. Nicolaou and published by . This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Trade-offs in Implementing Consistent Distributed Storage

Trade-offs in Implementing Consistent Distributed Storage

Author: Nicholas C. Nicolaou

Publisher:

Published: 2011

Total Pages: 550

ISBN-13:

DOWNLOAD EBOOK


Book Synopsis Trade-offs in Implementing Consistent Distributed Storage by : Nicholas C. Nicolaou

Download or read book Trade-offs in Implementing Consistent Distributed Storage written by Nicholas C. Nicolaou and published by . This book was released on 2011 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Database Internals

Database Internals

Author: Alex Petrov

Publisher: O'Reilly Media

Published: 2019-09-13

Total Pages: 373

ISBN-13: 1492040312

DOWNLOAD EBOOK

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals. Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed. This book examines: Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency


Book Synopsis Database Internals by : Alex Petrov

Download or read book Database Internals written by Alex Petrov and published by O'Reilly Media. This book was released on 2019-09-13 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals. Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed. This book examines: Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency


Tuning and Predicting Consistency in Distributed Storage Systems

Tuning and Predicting Consistency in Distributed Storage Systems

Author: Shankha Subhra Chatterjee

Publisher:

Published: 2017

Total Pages: 64

ISBN-13:

DOWNLOAD EBOOK

Distributed storage systems are constrained by the finite speed of propagation of information. The CAP (which stands for consistency, availability, and partition tolerance) theorem states that in the presence of network partitions, a choice has to be made in between availability and consistency. However, even in the absence of failures, a trade-off between consistency and latency of operations (reads and writes) exists. Eventually consistent storage systems often sacrifice consistency for high availability and low latencies. One way to achieve fine-tuning in the consistency-latency trade-off space is to inject artificial delays to each storage operation. This thesis describes an adaptive tuning framework that is able to calculate the values of artificial delay to be injected to each storage operation to meet a specific target consistency. The framework is able to adapt nimbly to environmental changes in the storage system to maintain target consistency levels. It consists of a feedback loop which uses a technique called spectral shifting at each iteration to calculate the target value of artificial delay from a history of operations. The tuning framework is able to converge to the target value of artificial delay much faster than the state-of-art solution. This thesis also presents a probabilistic analysis of inconsistencies in eventually consistent distributed storage systems operating under weak (read one, write one) consistency settings. The analysis takes into account symmetrical (same for reads and writes) artificial delays which enable consistency-latency tuning. A mathematical formula for the percentage of inconsistent operations is derived from other environmental parameters pertaining to the storage system. The formula's predictions for the proportion of inconsistent operations match observations of the same from a stochastic simulator of the storage system running 10^6 operations (per experiment), and from a widely used key-value store (Apache Cassandra) closely.


Book Synopsis Tuning and Predicting Consistency in Distributed Storage Systems by : Shankha Subhra Chatterjee

Download or read book Tuning and Predicting Consistency in Distributed Storage Systems written by Shankha Subhra Chatterjee and published by . This book was released on 2017 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed storage systems are constrained by the finite speed of propagation of information. The CAP (which stands for consistency, availability, and partition tolerance) theorem states that in the presence of network partitions, a choice has to be made in between availability and consistency. However, even in the absence of failures, a trade-off between consistency and latency of operations (reads and writes) exists. Eventually consistent storage systems often sacrifice consistency for high availability and low latencies. One way to achieve fine-tuning in the consistency-latency trade-off space is to inject artificial delays to each storage operation. This thesis describes an adaptive tuning framework that is able to calculate the values of artificial delay to be injected to each storage operation to meet a specific target consistency. The framework is able to adapt nimbly to environmental changes in the storage system to maintain target consistency levels. It consists of a feedback loop which uses a technique called spectral shifting at each iteration to calculate the target value of artificial delay from a history of operations. The tuning framework is able to converge to the target value of artificial delay much faster than the state-of-art solution. This thesis also presents a probabilistic analysis of inconsistencies in eventually consistent distributed storage systems operating under weak (read one, write one) consistency settings. The analysis takes into account symmetrical (same for reads and writes) artificial delays which enable consistency-latency tuning. A mathematical formula for the percentage of inconsistent operations is derived from other environmental parameters pertaining to the storage system. The formula's predictions for the proportion of inconsistent operations match observations of the same from a stochastic simulator of the storage system running 10^6 operations (per experiment), and from a widely used key-value store (Apache Cassandra) closely.


Distributed Computing

Distributed Computing

Author: Shlomi Dolev

Publisher: Springer

Published: 2006-10-05

Total Pages: 599

ISBN-13: 3540446273

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the 20th International Symposium on Distributed Computing, DISC 2006. The book presents 35 revised full papers together with 1 invited paper and 13 announcements of ongoing works, all carefully selected for inclusion in the book. The entire scope of current issues in distributed computing is addressed, ranging from foundational and theoretical topics to algorithms and systems issues and to applications in various fields.


Book Synopsis Distributed Computing by : Shlomi Dolev

Download or read book Distributed Computing written by Shlomi Dolev and published by Springer. This book was released on 2006-10-05 with total page 599 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 20th International Symposium on Distributed Computing, DISC 2006. The book presents 35 revised full papers together with 1 invited paper and 13 announcements of ongoing works, all carefully selected for inclusion in the book. The entire scope of current issues in distributed computing is addressed, ranging from foundational and theoretical topics to algorithms and systems issues and to applications in various fields.


Consistency and Fault Tolerance of Distributed Storage Systems

Consistency and Fault Tolerance of Distributed Storage Systems

Author: Kathrin Sobe

Publisher:

Published: 2013

Total Pages: 127

ISBN-13: 9783844258899

DOWNLOAD EBOOK


Book Synopsis Consistency and Fault Tolerance of Distributed Storage Systems by : Kathrin Sobe

Download or read book Consistency and Fault Tolerance of Distributed Storage Systems written by Kathrin Sobe and published by . This book was released on 2013 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Stabilization, Safety, and Security of Distributed Systems

Stabilization, Safety, and Security of Distributed Systems

Author: Paul Spirakis

Publisher: Springer

Published: 2017-10-20

Total Pages: 496

ISBN-13: 3319690841

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the 19th International Symposium on Stabilization, Safety, and Security of Distributed Systems, SSS 2017, held in Boston, MA, USA, in November 2017. The 29 revised full papers presented together with 8 revised short papers were carefully reviewed and selected from 68 initial submissions. This year the Symposium was organized into three tracks reflecting major trends related to self-* systems: Stabilizing Systems: Theory and Practice: Distributed Computing and Communication Networks; and Computer Security and Information Privacy.


Book Synopsis Stabilization, Safety, and Security of Distributed Systems by : Paul Spirakis

Download or read book Stabilization, Safety, and Security of Distributed Systems written by Paul Spirakis and published by Springer. This book was released on 2017-10-20 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 19th International Symposium on Stabilization, Safety, and Security of Distributed Systems, SSS 2017, held in Boston, MA, USA, in November 2017. The 29 revised full papers presented together with 8 revised short papers were carefully reviewed and selected from 68 initial submissions. This year the Symposium was organized into three tracks reflecting major trends related to self-* systems: Stabilizing Systems: Theory and Practice: Distributed Computing and Communication Networks; and Computer Security and Information Privacy.