Shared Data Clusters
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Author | : Dilip M. Ranade |
Publisher | : John Wiley & Sons |
Total Pages | : 450 |
Release | : 2003-02-17 |
Genre | : Computers |
ISBN | : 0471448850 |
Clustering is a vital methodology in the data storage world. Its goal is to maximize cost-effectiveness, availability, flexibility, and scalability. Clustering has changed considerably for the better due to Storage Area Networks, which provide access to data from any node in the cluster. Explains how clusters with shared storage work and the components in the cluster that need to work together Reviews where a cluster should be deployed and how to use one for best performance Author is Lead Technical Engineer for VERITAS Cluster File Systems and has worked on clusters and file systems for the past ten years
Author | : Willem Jonker |
Publisher | : Springer Science & Business Media |
Total Pages | : 227 |
Release | : 2004-08-19 |
Genre | : Business & Economics |
ISBN | : 3540229833 |
This book constitutes the refereed proceedings of the VLDB 2004 International Workshop on Secure Data Management in a Connected World, SDM 2004, held in Toronto, Canada in August 2004 in association with VLDB 2004. The 15 revised full papers presented were carefully reviewed and selected from 28 submissions. The papers are organized in topical sections on encrypted data access, privacy perserving data management, access control, and database security.
Author | : Guojun Gan |
Publisher | : SIAM |
Total Pages | : 430 |
Release | : 2020-11-10 |
Genre | : Mathematics |
ISBN | : 1611976332 |
Data clustering, also known as cluster analysis, is an unsupervised process that divides a set of objects into homogeneous groups. Since the publication of the first edition of this monograph in 2007, development in the area has exploded, especially in clustering algorithms for big data and open-source software for cluster analysis. This second edition reflects these new developments, covers the basics of data clustering, includes a list of popular clustering algorithms, and provides program code that helps users implement clustering algorithms. Data Clustering: Theory, Algorithms and Applications, Second Edition will be of interest to researchers, practitioners, and data scientists as well as undergraduate and graduate students.
Author | : Paul Massiglia |
Publisher | : John Wiley & Sons |
Total Pages | : 466 |
Release | : 2002-11-06 |
Genre | : Computers |
ISBN | : 0471264776 |
The first how-to guide for online storage management with Windows 2000 In this book, expert Paul Massiglia first provides a clear tutorial on the principles of managed online storage and then walks you through the basics of how to manage your disks and RAID arrays in the Windows 2000 server environment. He provides all the information system administrators need to take advantage of Windows 2000's powerful new capabilities for handling large numbers of disks and RAID subsystems. Using both the embedded capabilities of the Windows 2000 operating system, VERITAS Volume Manager--the de-facto standard for application storage--and other working examples, Massiglia clearly illustrates how to organize disks so that all application data can be given the right balance of availability, I/O performance, and online storage cost. Readers will learn about online storage architectures, failure and non-failure tolerant volumes, RAID, online disks, and creating and managing volumes.
Author | : Realtimepublishers.com |
Publisher | : Realtimepublishers.com |
Total Pages | : 139 |
Release | : 2005 |
Genre | : Computers |
ISBN | : 193149147X |
Author | : Guojun Gan |
Publisher | : CRC Press |
Total Pages | : 520 |
Release | : 2011-03-28 |
Genre | : Business & Economics |
ISBN | : 1439862249 |
Data clustering is a highly interdisciplinary field, the goal of which is to divide a set of objects into homogeneous groups such that objects in the same group are similar and objects in different groups are quite distinct. Thousands of theoretical papers and a number of books on data clustering have been published over the past 50 years. However,
Author | : Sivarama Dandamudi |
Publisher | : Springer Science & Business Media |
Total Pages | : 263 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 1461501334 |
Multiple processor systems are an important class of parallel systems. Over the years, several architectures have been proposed to build such systems to satisfy the requirements of high performance computing. These architectures span a wide variety of system types. At the low end of the spectrum, we can build a small, shared-memory parallel system with tens of processors. These systems typically use a bus to interconnect the processors and memory. Such systems, for example, are becoming commonplace in high-performance graph ics workstations. These systems are called uniform memory access (UMA) multiprocessors because they provide uniform access of memory to all pro cessors. These systems provide a single address space, which is preferred by programmers. This architecture, however, cannot be extended even to medium systems with hundreds of processors due to bus bandwidth limitations. To scale systems to medium range i. e. , to hundreds of processors, non-bus interconnection networks have been proposed. These systems, for example, use a multistage dynamic interconnection network. Such systems also provide global, shared memory like the UMA systems. However, they introduce local and remote memories, which lead to non-uniform memory access (NUMA) architecture. Distributed-memory architecture is used for systems with thousands of pro cessors. These systems differ from the shared-memory architectures in that there is no globally accessible shared memory. Instead, they use message pass ing to facilitate communication among the processors. As a result, they do not provide single address space.
Author | : Richard Barker |
Publisher | : John Wiley & Sons |
Total Pages | : 528 |
Release | : 2002-10-23 |
Genre | : Computers |
ISBN | : 0471267112 |
The inside scoop on a leading-edge data storage technology The rapid growth of e-commerce and the need to have all kinds of applications operating at top speed at the same time, all on a 24/7 basis while connected to the Internet, is overwhelming traditional data storage methods. The solution? Storage Area Networks (SANs)--the data communications technology that's expected to revolutionize distributed computing. Written by top technology experts at VERITAS Software Global Corporation, this book takes readers through all facets of storage networking, explaining how a SAN can help consolidate conventional server storage onto networks, how it makes applications highly available no matter how much data is being stored, and how this in turn makes data access and management faster and easier. System and network managers considering storage networking for their enterprises, as well as application developers and IT staff, will find invaluable advice on the design and deployment of the technology and how it works. Detailed, up-to-date coverage includes: The evolution of the technology and what is expected from SANs Killer applications for SANs Full coverage of storage networking and what it means for the enterprise's information processing architecture Individual chapters devoted to the storage, network, and software components of storage networking Issues for implementation and adoption
Author | : Mike Ault |
Publisher | : Rampant TechPress |
Total Pages | : 868 |
Release | : 2004-08 |
Genre | : Computers |
ISBN | : 9780974435541 |
Revealing the secrets for quickly implementing and tuning Oracle RAC database systems, this book covers all areas of Oracle Real Application Clusters including Oracle10g new features. Oracle DBAs who are charged with configuring and implementing a RAC clusters database will benefit from this complete guide to the installation as well as configuration and design of Oracle Real Application Clusters. Information is supplied on expert internals of shared disk technology, raw devices and RAID with RAC, the internal concurrency, resource coordination, and the locking mechanism within RAC. Also explained are Transparent Application Failover (TAF) and monitoring and tuning Oracle10g RAC applications.
Author | : Adam Fowler |
Publisher | : John Wiley & Sons |
Total Pages | : 456 |
Release | : 2015-02-24 |
Genre | : Computers |
ISBN | : 1118905741 |
Get up to speed on the nuances of NoSQL databases and what they mean for your organization This easy to read guide to NoSQL databases provides the type of no-nonsense overview and analysis that you need to learn, including what NoSQL is and which database is right for you. Featuring specific evaluation criteria for NoSQL databases, along with a look into the pros and cons of the most popular options, NoSQL For Dummies provides the fastest and easiest way to dive into the details of this incredible technology. You'll gain an understanding of how to use NoSQL databases for mission-critical enterprise architectures and projects, and real-world examples reinforce the primary points to create an action-oriented resource for IT pros. If you're planning a big data project or platform, you probably already know you need to select a NoSQL database to complete your architecture. But with options flooding the market and updates and add-ons coming at a rapid pace, determining what you require now, and in the future, can be a tall task. This is where NoSQL For Dummies comes in! Learn the basic tenets of NoSQL databases and why they have come to the forefront as data has outpaced the capabilities of relational databases Discover major players among NoSQL databases, including Cassandra, MongoDB, MarkLogic, Neo4J, and others Get an in-depth look at the benefits and disadvantages of the wide variety of NoSQL database options Explore the needs of your organization as they relate to the capabilities of specific NoSQL databases Big data and Hadoop get all the attention, but when it comes down to it, NoSQL databases are the engines that power many big data analytics initiatives. With NoSQL For Dummies, you'll go beyond relational databases to ramp up your enterprise's data architecture in no time.