'Shared disk' presentation slideshows

IDS 11.5 MACH Your Business Continuity

IDS 11.5 MACH Your Business Continuity. Boycho Velkov NDB Ltd. Content Summary. AVAILABILITY CONCEPTS IDS AVAILABILITY OFFERINGS OVERVIEW CONFIGURING IDS AVAILABILITY COMPONENTS BUSINESS SCENARIOS BY INDUSTRY RETAIL TELCO INTERACTIVE ENTERTAINMENT SUMMARY RESOURCES. Content Summary.

1.07k views • 90 slides

Week 11

1.07k views • 89 slides

Transaction System Processes

Transaction System Processes. Used in LANs, where there is a very high speed connection between the clients and the server, the client machines are comparable in processing power to the server machine, and the tasks to be executed are compute intensive.

736 views • 67 slides

Developing an Enterprise Wireless/Palm Computing Strategy

729 views • 64 slides

Chapter 2: Planning for Server Hardware

Chapter 2: Planning for Server Hardware. System Requirements. Use the Windows 2000 Server basic system requirements as a starting point from which to develop server computer specifications. Windows 2000 Server Hardware Requirements.

694 views • 60 slides

Chapter 20: Parallel Databases

Introduction I/O Parallelism Interquery Parallelism Intraquery Parallelism Intraoperation Parallelism Interoperation Parallelism Design of Parallel Systems. Chapter 20: Parallel Databases. Parallel machines are becoming quite common and affordable

628 views • 42 slides

Understanding Storage Systems and SQL Server

Understanding Storage Systems and SQL Server. Wes Brown. What we are going to learn. Base System Makeup Disk Controllers, Host Bus Adapters, and Interfaces The Basics of Spinning Disks Redundant Array of Inexpensive Disks SAN Basics Solid State Storage Basics

503 views • 38 slides

484 views • 37 slides

The ScaleDB Storage Engine

524 views • 31 slides

Chapters 20: Database System Architectures

Chapters 20: Database System Architectures . Centralized and Client-Server Systems Server System Architectures Parallel Systems Distributed Systems. Chapter 20: Database System Architectures.

429 views • 28 slides

Mark E. Fuller Senior Principal Instructor Oracle University Oracle Corporation

Mark E. Fuller Senior Principal Instructor Oracle University Oracle Corporation. Oracle and Linux A Winning Combination - RAC and Linux. Oracle9 i Real Application Clusters. Database with instances on separate nodes Physical or logical access to each database file

418 views • 28 slides

CS 345: Topics in Data Warehousing

438 views • 28 slides

Distributed DBMSs-Concept and Design

Distributed DBMSs-Concept and Design. Jing Luo CS 157B Dr. Lee Fall, 2003. Centralized DBMS It allows users to access only a single logical database located at one site under its control. Distributed DBMS

386 views • 27 slides

Distributed DBMSs-Concept and Design

Distributed DBMSs-Concept and Design. Jing Luo CS 157B Dr. Lee Fall, 2003. Centralized DBMS It allows users to access only a single logical database located at one site under its control. Distributed DBMS

342 views • 27 slides

Parallel File Systems from the Application Programmer Perspective (Part 1)

338 views • 26 slides

Chapter 17: Database System Architectures

Server System Architectures Parallel Systems Distributed Systems. Chapter 17: Database System Architectures. Server System Architecture. Server systems can be broadly categorized into two kinds: transaction servers which are widely used in relational database systems, and

357 views • 24 slides

UCS Central Best Practices

UCS Central Best Practices. UCS. Jeff Silberman (jesilber@cisco.com). Compute Capacity: Units of Scale. UCS Central. UCS Manager. Global Datacenters. Single Datacenter. Domain. Chassis. Server. Operational Model. Administrative power is HIGHLY concentrated

414 views • 20 slides

SN versus SD: The Tradeoffs

220 views • 14 slides

Parallel OLAP

Parallel OLAP. Andrew Rau-Chaplin Faculty of Computer Science Dalhousie University. Joint Work with F. Dehne T. Eavis S. Hambrusch. Decision Support Systems. A time-oriented analysis of scientific or organizational data. Data Minning. Online Analytical Processing (OLAP).

247 views • 11 slides

Mapping the Data Warehouse to a Multiprocessor Architecture

Mapping the Data Warehouse to a Multiprocessor Architecture. By N.Gopinath AP/CSE. Mapping the Data Warehouse to a Multiprocessor Architecture. The goals of linear performance and scalability can be satisfied by parallel hardware architectures, parallel operating systems, and parallel DBMSs.

672 views • 6 slides