'Data caching' diaporamas de présentation

Hardware Recommendations to make installations hum

Hardware Recommendations to make installations hum. Eric Wauters i Facto Business Solutions NV Development Manager. April 17, 2008. Agenda. Basics Native DB Server SQL Server Terminal Services Clients & NAS Network. Agenda. Basics Why pay attention to hardware?

578 views • 49 slides

Chapter 17: Database System Architectures

Chapter 17: Database System Architectures. Centralized and Client-Server Systems Server System Architectures Parallel Systems Distributed Systems Network Types. Chapter 17: Database System Architectures. Run on a single computer system and do not interact with other computer systems.

673 views • 49 slides

Data Access Models in Location Dependent Information Services

Data Access Models in Location Dependent Information Services. Yu Meng May 1, 2004. Outline. Introduction Related concepts Location models Query types Valid scopes Access models On-demand Access Broadcasting Summary. Introduction. What is LDIS What are the challenges

354 views • 27 slides

Batch Software at JLAB

Batch Software at JLAB. Ian Bird Jefferson Lab CHEP2000 7-11 February, 2000. Introduction. Environment Farms Data flows Software Batch systems JLAB software LSF vs. PBS Scheduler Tape software File pre-staging/caching. Environment. Computing facilities were designed to:

305 views • 23 slides

Vijay Kumar & Nitin Prabhu SCE, Computer Networking University of Missouri-Kansas City

HDC - Hot Data Caching in Mobile Database Systems. Vijay Kumar & Nitin Prabhu SCE, Computer Networking University of Missouri-Kansas City Kansas City, MO 64110, USA kumarv@umkc.edu. Panos K. Chrysanthis Computer Science University of Pittsburgh Pittsburgh, PA 15260, USA panos@cs.pitt.edu.

326 views • 22 slides

Caching MacDonald Ch. 26

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Twister4Azure

326 views • 20 slides

Vijay Kumar & Nitin Prabhu SCE, Computer Networking University of Missouri-Kansas City

HDC - Hot Data Caching in Mobile Database Systems. Vijay Kumar & Nitin Prabhu SCE, Computer Networking University of Missouri-Kansas City Kansas City, MO 64110, USA kumarv@umkc.edu. Panos K. Chrysanthis Computer Science University of Pittsburgh Pittsburgh, PA 15260, USA panos@cs.pitt.edu.

319 views • 19 slides

ASP .NET Caching

ASP .NET Caching. - Pradeepa Chandramohan. What is Caching?. Storing data in memory for quick access. In Web Application environment, data that is cached is usually, commonly displayed database values. Repeated database calls are avoided.

403 views • 18 slides

Grid Technologies for Distributed Database Services

Grid Technologies for Distributed Database Services. 3D Project Meeting CERN, May 19, 2005 A. Vaniachine (ANL). Outline. Databases and the Grid Expectations and experience Grid-enabled database deployment Grid-enabled database technology Databases for data caching. Databases and the Grid.

167 views • 16 slides

PanDA in a Federated Environment

PanDA in a Federated Environment. Kaushik De Univ. of Texas at Arlington CC-IN2P3, Lyon September 13, 2012. Outline. Overview Concrete plans Federated data access/ stageout for fault tolerance Federated data transfer for managed production Federated data access for distributed analysis

134 views • 13 slides

ASP.NET Training

http://www.learntek.org/product/asp-net/ Learntek is global online training provider on Big Data Analytics, Hadoop, Machine Learning, Deep Learning, IOT, AI, Cloud Technology, DEVOPS, Digital Marketing and other IT and Management courses. We are dedicated to designing, developing and implementing training programs for students, corporate employees and business professional. www.learntek.org

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The Conquest File System:

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The Conquest File System:

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David Malon, Peter van Gemmeren (Argonne National Laboratory) Richard Hawkings, (CERN)

An Inconvenient Truth: file-level metadata and in-file metadata caching in the (file-agnostic) ATLAS distributed event store. David Malon, Peter van Gemmeren (Argonne National Laboratory) Richard Hawkings, (CERN) R.D. Schaffer (LAL Orsay). 1. Abstract.

105 views • 1 slides

Get WAN OPTIMIZATION for Fast and Steady Internet Speed

SD Wan Optimization software solutions with WAN Acceleration, Deduplication, WAN Compression, TCP Acceleration & QoS at 5-10x less than premium vendor costs.

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WAN OPTIMIZATION for Fast and Steady Internet Speed

WAN optimization is mainly concerned about the WAN acceleration to improve the efficiency experience.

15 views • 1 slides