Download or read book Design of a High Performance and High Availability Distributed Storage System written by Li Ou and published by . This book was released on 2006 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cluster has become one of the most popular platforms for high-performance computing. As in traditional parallel computing systems, the I/O sub-system is a bottleneck to the overall system performance. One solution to alleviate the I/O bottleneck is to deploy a distributed storage system, which utilizes the aggregate bandwidth and capability of existing I/O resources on each cluster node, to provide high performance and scalable storage service for cluster computing platforms. The research of this dissertation concentrated on designing a high performance and high availability distributed storage system to improve I/O system performance. The system provided high performance by efficiently managing the aggregate cache space of a multi-level hierarchy, organizing file system data servers and iSCSI storage targets into a two level hierarchy with striping/parity techniques, and exploiting the potential of high speed network to reduce the RDMA registration cost. The system achieved high availability by overcoming single point of failure of metadata servers with a symmetric active/active metadata service. With a combination of various research approaches, including analysis using mathematical models, simulation using real world traces, prototype implementations of real systems running on Linux platforms, and experiments using real workloads, both high performance and high availability of a distributed storage system were achieved. The experimental results indicated that the average I/O response time was improved by up to 46% to 53% for various workloads, and the availability was increased to 99.98%; with less than 10% performance trade-off.

Download or read book High Availability written by Floyd Piedad and published by Prentice Hall Professional. This book was released on 2001 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: A best practices guide tothe people and process issues associated with maximizing application availability. Focus is on how enterprises can design systems that are easier to maintain.

Download or read book Design of a High Performance High Availability Distributed File System written by Chetan Ahuja and published by . This book was released on 2001 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Blueprints for High Availability written by Evan Marcus and published by . This book was released on 2000-02-14 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Rely on this book for information on the technologies and methods you'll need to design and implement high-availability systems...It will help you transform the vision of always-on networks into a reality."-Dr. Eric Schmidt, Chairman and CEO, Novell Corporation Your system will crash! The reason could be something as complex as network congestion or something as mundane as an operating system fault. The good news is that there are steps you can take to maximize your system availability and prevent serious downtime. This authoritative book will provide you with the tools to deploy a system with confidence. The authors guide you through the building of a network that runs with high availability, resiliency, and predictability. They clearly show you how to assess the elements of a system that can fail, select the appropriate level of reliability, and provide steps for designing, implementing, and testing your solution to reduce downtime to a minimum. All the while, they help you determine how much you can afford to spend by balancing costs and benefits. This book of practical, hands-on blueprints: * Examines what can go wrong with the various components of your system * Provides twenty key system design principles for attaining resilience and high availability * Discusses how to arrange disks and disk arrays for protection against hardware failures * Looks at failovers, the software that manages them, and sorts through the myriad of different failover configurations * Provides techniques for improving network reliability and redundancy * Reviews techniques for replicating data and applications to other systems across a network * Offers guidance on application recovery * Examines Disaster Recovery

Download or read book Processor imbedded Distributed Storage for High performance I O written by Steve C. Chiu and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation attempts to address the issue of reliability and availability in a distributed smart storage system. The objective is to provide the required level of fault tolerance and data recovery without sacrificing overall performance. Based on RAID configurations, the proposed schemes select the data distribution most suitable for the access pattern of a target workload, and provides sufficient data redundancy and check-pointing during processing. Together with the performance studies, the fault tolerance designs support the thesis put forth by this work.

Download or read book Goddard Conference on Mass Storage Systems and Technologies written by Ben Kobler and published by . This book was released on 1993 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Designing a New Class of Distributed Systems written by Rao Mikkilineni and published by Springer Science & Business Media. This book was released on 2011-11-02 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designing a New Class of Distributed Systems closely examines the Distributed Intelligent Managed Element (DIME) Computing Model, a new model for distributed systems, and provides a guide to implementing Distributed Managed Workflows with High Reliability, Availability, Performance and Security. The book also explores the viability of self-optimizing, self-monitoring autonomous DIME-based computing systems. Designing a New Class of Distributed Systems is designed for practitioners as a reference guide for innovative distributed systems design. Researchers working in a related field will also find this book valuable.

Download or read book Protocol and Situation aware Distributed Storage Systems written by Ramnatthan Alagappan and published by . This book was released on 2019 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are dependent upon data in many aspects of our lives. Much of this data is stored and managed by distributed storage systems that run in data centers, powering many modern applications such as e-commerce, photo sharing, video streaming, search, social networking, messaging, collaborative editing, and even health-care and financial services. A distributed storage system stores copies of a piece of data on many nodes for fault-tolerance: even when a few nodes fail, the system can still provide access to data. Each of these nodes depends upon a local storage stack to safely store and manage user data. The local storage stack is complex, consisting of many hardware and software components. Due to this complexity, the storage layer is a place for many potential problems to arise. This dissertation examines the reliability and performance challenges that arise the interaction points between a distributed system and the local storage stack. In the first part of this thesis, we study how distributed storage systems react to storage faults: cases where the storage device may return corrupted data or errors. We focus on replicated state machine systems, an important class of distributed systems. We find that none of the existing approaches used in current systems can safely handle storage faults, leading to data loss and unavailability. Using the insights gained in our study, we design corruption-tolerant replication (CTRL), a protocol-aware recovery approach for RSM systems. CTRL exploits protocol-specific knowledge of how RSM systems operate, to ensure safety and high availability in the presence of storage faults without impacting performance. In the second part, we study the performance and reliability properties of replication protocols used by distributed systems. We find there exists a dichotomy with respect to how and where current approaches store system state. One approach writes data to the storage stack synchronously, whereas the other buffers the data in volatile memory. The choice of whether data is written synchronously to the storage device or not greatly influences the system's robustness to crash failures and its performance. We show that existing approaches either provide robustness to crashes or performance, but not both. Thus, we introduce situation-aware updates and crash recovery, a dynamic protocol that, depending upon the situation, writes either synchronously or asynchronously to the storage devices, achieving both strong reliability and high performance. In the final part of this thesis, we study the effects of file-system crash behaviors in distributed storage systems. We build protocol-aware crash explorer or PACE, a tool that can model and reason about file-system crash behaviors in distributed systems under a special correlated crash failure scenario. Our study reveals that the correctness of update and recovery protocols of many distributed systems hinges upon how the local file-system state is updated by each replica. We perform a detailed analysis of the vulnerabilities, showing their serious consequences and prevalence on commonly used file systems. We finally point to possible solutions to the problems discovered.

Download or read book Designing Data Intensive Applications written by Martin Kleppmann and published by "O'Reilly Media, Inc.". This book was released on 2017-03-16 with total page 658 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures

Download or read book Building a Columnar Database on RAMCloud written by Christian Tinnefeld and published by Springer. This book was released on 2015-07-07 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the field of parallel database management systems and illustrates the great variety of solutions based on a shared-storage or a shared-nothing architecture. Constantly dropping memory prices and the desire to operate with low-latency responses on large sets of data paved the way for main memory-based parallel database management systems. However, this area is currently dominated by the shared-nothing approach in order to preserve the in-memory performance advantage by processing data locally on each server. The main argument this book makes is that such an unilateral development will cease due to the combination of the following three trends: a) Today’s network technology features remote direct memory access (RDMA) and narrows the performance gap between accessing main memory on a server and of a remote server to and even below a single order of magnitude. b) Modern storage systems scale gracefully, are elastic and provide high-availability. c) A modern storage system such as Stanford’s RAM Cloud even keeps all data resident in the main memory. Exploiting these characteristics in the context of a main memory-based parallel database management system is desirable. The book demonstrates that the advent of RDMA-enabled network technology makes the creation of a parallel main memory DBMS based on a shared-storage approach feasible.

Download or read book Ceph Designing and Implementing Scalable Storage Systems written by Michael Hackett and published by Packt Publishing Ltd. This book was released on 2019-01-31 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get to grips with the unified, highly scalable distributed storage system and learn how to design and implement it. Key FeaturesExplore Ceph's architecture in detailImplement a Ceph cluster successfully and gain deep insights into its best practicesLeverage the advanced features of Ceph, including erasure coding, tiering, and BlueStoreBook Description This Learning Path takes you through the basics of Ceph all the way to gaining in-depth understanding of its advanced features. You’ll gather skills to plan, deploy, and manage your Ceph cluster. After an introduction to the Ceph architecture and its core projects, you’ll be able to set up a Ceph cluster and learn how to monitor its health, improve its performance, and troubleshoot any issues. By following the step-by-step approach of this Learning Path, you’ll learn how Ceph integrates with OpenStack, Glance, Manila, Swift, and Cinder. With knowledge of federated architecture and CephFS, you’ll use Calamari and VSM to monitor the Ceph environment. In the upcoming chapters, you’ll study the key areas of Ceph, including BlueStore, erasure coding, and cache tiering. More specifically, you’ll discover what they can do for your storage system. In the concluding chapters, you will develop applications that use Librados and distributed computations with shared object classes, and see how Ceph and its supporting infrastructure can be optimized. By the end of this Learning Path, you'll have the practical knowledge of operating Ceph in a production environment. This Learning Path includes content from the following Packt products: Ceph Cookbook by Michael Hackett, Vikhyat Umrao and Karan SinghMastering Ceph by Nick FiskLearning Ceph, Second Edition by Anthony D'Atri, Vaibhav Bhembre and Karan SinghWhat you will learnUnderstand the benefits of using Ceph as a storage solutionCombine Ceph with OpenStack, Cinder, Glance, and Nova componentsSet up a test cluster with Ansible and virtual machine with VirtualBoxDevelop solutions with Librados and shared object classesConfigure BlueStore and see its interaction with other configurationsTune, monitor, and recover storage systems effectivelyBuild an erasure-coded pool by selecting intelligent parametersWho this book is for If you are a developer, system administrator, storage professional, or cloud engineer who wants to understand how to deploy a Ceph cluster, this Learning Path is ideal for you. It will help you discover ways in which Ceph features can solve your data storage problems. Basic knowledge of storage systems and GNU/Linux will be beneficial.

Download or read book Policy Architecture for Distributed Storage Systems written by Nalini Moti Belaramani and published by . This book was released on 2009 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed data storage is a building block for many distributed systems such as mobile file systems, web service replication systems, enterprise file systems, etc. New distributed data storage systems are frequently built as new environment, requirements or workloads emerge. The goal of this dissertation is to develop the science of distributed storage systems by making it easier to build new systems. In order to achieve this goal, it proposes a new policy architecture, PADS, that is based on two key ideas: first, by providing a set of common mechanisms in an underlying layer, new systems can be implemented by defining policies that orchestrate these mechanisms; second, policy can be separated into routing and blocking policy, each addresses different parts of the system design. Routing policy specifies how data flow among nodes in order to meet performance, availability, and resource usage goals, whereas blocking policy specifies when it is safe to access data in order to meet consistency and durability goals. This dissertation presents a PADS prototype that defines a set of distributed storage mechanisms that are sufficiently flexible and general to support a large range of systems, a small policy API that is easy to use and captures the right abstractions for distributed storage, and a declarative language for specifying policy that enables quick, concise implementations of complex systems. We demonstrate that PADS is able to significantly reduce development effort by constructing a dozen significant distributed storage systems spanning a large portion of the design space over the prototype. We find that each system required only a couple of weeks of implementation effort and required a few dozen lines of policy code.

Download or read book DISTRIBUTED OPERATING SYSTEMS written by PRADEEP K. SINHA and published by PHI Learning Pvt. Ltd.. This book was released on 1998-01-01 with total page 761 pages. Available in PDF, EPUB and Kindle. Book excerpt: The highly praised book in communications networking from IEEE Press, now available in the Eastern Economy Edition.This is a non-mathematical introduction to Distributed Operating Systems explaining the fundamental concepts and design principles of this emerging technology. As a textbook for students and as a self-study text for systems managers and software engineers, this book provides a concise and an informal introduction to the subject.

Download or read book Dissertation Abstracts International written by and published by . This book was released on 2009 with total page 840 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Designing High performance Erasure Coding Schemes for Next generation Storage Systems written by Haiyang Shi (Ph. D. in computer science) and published by . This book was released on 2020 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Replication has been a cornerstone of reliable distributed storage systems for years. Replicating data at multiple locations in the system maintains sufficient redundancy to tolerate individual failures. However, the exploding volume and speed of data growth let researchers and engineers think about using storage-efficient fault tolerance mechanisms to replace replication in designing or re-designing reliable distributed storage systems. One promising alternative of replication is Erasure Coding (EC), which trades off extra computation for high reliability and availability at a prominently low storage overhead. Therefore, many existing distributed storage systems (e.g., HDFS 3.x, Ceph, QFS, Google Colossus, Facebook f4, and Baidu Atlas) have started to adopt EC to achieve storage-efficient fault tolerance. However, as EC introduces extra calculations into systems, there are several crucial challenges to think through for exploiting EC. Such as how to leverage heterogeneous EC-capable hardware (e.g., CPUs, General-Purpose Graphics Processing Units (GPGPUs), Field-Programmable Gate Arrays (FPGAs), and Smart Network Interface Cards (SmartNICs)) to accelerate EC computation and bring emergent devices and technologies into the pictures for designing high-performance erasure-coded distributed storage systems. In this dissertation, we propose Mint-EC, a high-performance EC framework to address the aforementioned research challenges. Mint-EC includes three major pillars: 1) a multi-rail EC library that enables upper-layer applications to leverage heterogeneous EC-capable hardware devices to perform EC operations simultaneously and introduces unified APIs to facilitate overlapping opportunities between computation and communication, 2) a set of coherent in-network EC primitives that can be easily integrated into existing state-of-the-art EC schemes and utilized in designing advanced EC schemes to fully leverage the advantages of the coherent in-network EC capabilities on commodity SmartNICs, and, 3) a tripartite graph based EC paradigm that is able to tackle the limitations of current-generation EC offload schemes, bring more parallelism and overlapping, and fully utilize networked resources. To demonstrate the potential performance gains of the proposed designs, we co-design commonly-used distributed storage systems (i.e., HDFS and Memcached) with our proposed designs, and thoroughly evaluate the co-designed systems with Hadoop benchmarks and Yahoo! Cloud Serving Benchmark (YCSB) on in-house and production-scale HPC clusters. The evaluations illustrate that erasure-coded distributed storage systems enhanced with the proposed designs obtain significant performance improvement.

Download or read book Microsoft SQL Server High Availability written by Paul Bertucci and published by Sams Publishing. This book was released on 2005 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explains how to assess, select, and build high availability solutions from the ground up. Learn valuable skills, including how to drill down into the heart of high availablity requirements, and how to assess and classify these requirements, and how to select, configure, and specify a matching high availability solution that optimally meets your needs.

Download or read book High Availability for Database Systems in Geographically Distributed Cloud Computing Environments written by Huangdong Meng and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, cloud storage systems have become very popular due to their good scal- ability and high availability. However, these storage systems provide limited transactional capabilities, which makes developing applications that use these systems substantially more difficult than developing applications that use a traditional SQL-based relational database management systems (DBMS). There have been solutions that provide transactional SQL-based DBMS services on the cloud, including solutions that use cloud shared storage systems to store the data. However, none of these solutions take advantage of the shared cloud storage architecture to provide DBMS high availability. These solutions typically deal with the failure of a DBMS server by restarting this server and going through crash recovery based on the transaction log, which can lead to long DBMS service downtimes that are not acceptable to users. It is possible to run traditional DBMS high availability solutions in cloud environments. These solutions are typically based on shipping the transaction log from a primary server to a backup server, and replaying the log at the backup server to keep it up to date with the primary. However, these solutions do not work well if the primary and backup are in different, geographically distributed data centers due to the high latency of log shipping. Furthermore, these solutions do not take advantage of the capabilities of the underlying shared storage system. We present a new transparent high availability system for transactional SQL-based DBMS on a shared storage architecture, which we call CAC-DB (Continuous Access Cloud DataBase). Our system is especially designed for eventually consistent cloud storage systems that run efficiently in multiple geographically distributed data centers. The database and transaction logs are stored in such a storage system, and therefore remain available after a failure up to the failure of an entire data center (e.g., in a natural disaster). CAC-DB takes advantage of this shared storage to ensure that the DBMS service remains available and transactionally consistent in the face of failures up to the loss of one or more data centers. By taking advantage of shared storage, CAC-DB can run in a geographically distributed environment with minimal overhead as compared to traditional log shipping solutions. In CAC-DB, an active (primary) and a standby (backup) DBMS run on different servers in different data centers. The standby catches up with the active's memory state by replaying the shared log. When the active crashes, the standby can finish the failover process and reach peak throughput very quickly. The DBMS service only experiences several seconds of downtime. While the basic idea of replaying the log is simple and not new, the shared storage environment poses many new challenges including the need for synchronization protocols, new buffer pool management mechanisms, approaches for guaranteeing strong consistency without sacrifi cing performance and new shared storage based failure detection mechanism. This thesis solves these challenges and presents a system that achieves the following goal: if a data center fails, not only does the persistent image of the database on the storage tier survive, but also the DBMS service can resume almost uninterrupted and reach peak throughput in a very short time. At the same time, the throughput of the DBMS service in normal processing is not negatively affected. Our experiments with CAC-DB running on EC2 con rm that it can achieve the above goals.