'Cached data' presentation slideshows

In-memory Caching in HDFS Lower latency, same great taste

In-memory Caching in HDFS Lower latency, same great taste. Andrew Wang | awang@cloudera.com Colin McCabe | cmccabe@cloudera.com. Query. Alice. Result set. Hadoop cluster. Alice. Fresh data. Fresh data. Alice. Rollup. Problems. Data hotspots

737 views • 67 slides

CS6290 Multiprocessors

894 views • 55 slides

CS6290 Multiprocessors

751 views • 55 slides

ECE/CS 757: Advanced Computer Architecture II

ECE/CS 757: Advanced Computer Architecture II. Instructor:Mikko H Lipasti Spring 2013 University of Wisconsin-Madison

681 views • 55 slides

611 views • 52 slides

COMP 734 -- Distributed File Systems

575 views • 41 slides

COMP 734 -- Distributed File Systems

519 views • 41 slides

Website Survival: Concealing Back-End Outages with Oracle Coherence and HotCache

Website Survival: Concealing Back-End Outages with Oracle Coherence and HotCache. Jim Xu Senior Technology Architect TELUS Randy Stafford Architect At-Large Oracle Coherence Product Development. Presented with. Session Agenda. 1. TELUS introduction and business challenge

568 views • 39 slides

Computer Science Department MQP Topics Presentation

Computer Science Department MQP Topics Presentation. April 13 2007. Schedule of presenters. Emmanuel Agu Rob Lindeman Murali Mani Stanley Selkow George Heineman (Speaking on behalf of Bob Kinicki ) Craig Wills Dan Dougherty Dave Brown Michael Gennert , Dept. Head Gary Pollice

421 views • 30 slides

Mobility in a Publish Subscribe Internetwork

Mobility in a Publish Subscribe Internetwork. George Xylomenos Mobile Multimedia Laboratory Dept. of Informatics Athens University of Economics and Business. Introduction Why PSI for mobility? The PSI Architecture Caching in PSI Mobility in PSI : Reactive Mobility in PSI : Proactive

466 views • 30 slides

Mobility in a Publish Subscribe Internetwork

Mobility in a Publish Subscribe Internetwork. Dr. Dmitrij Lagutin Helsinki Institute for Information Technology (HIIT) (based on slides by Prof. George Xylomenos) 27.9.2011. Introduction Why publish/subscribe internetwork for mobility? The publish/subscribe internetwork architecture

444 views • 30 slides

Search with a Key-Value Store

Search with a Key-Value Store . Intro to NoSQL. Key-value store Schemaless Distributed Eventually Consistent. Key-Value. Single unique key for each value in the database Extremely fast look-up Easy distribution (no such thing as joins). Schemaless. Critical for extremely large data sets

427 views • 29 slides

Fast and Expressive Big Data Analytics with Python

Fast and Expressive Big Data Analytics with Python. Matei Zaharia. UC Berkeley / MIT. spark-project.org. UC BERKELEY. What is Spark?. Fast and expressive cluster computing system interoperable with Apache Hadoop Improves efficiency through: In-memory computing primitives

420 views • 29 slides

Fast and Expressive Big Data Analytics with Python

Fast and Expressive Big Data Analytics with Python. Matei Zaharia. UC Berkeley / MIT. spark-project.org. UC BERKELEY. What is Spark?. Fast and expressive cluster computing system interoperable with Apache Hadoop Improves efficiency through: In-memory computing primitives

296 views • 29 slides

Distributed Maintenance of Cache Freshness in Opportunistic Mobile Networks

Distributed Maintenance of Cache Freshness in Opportunistic Mobile Networks. Wei Gao and Guohong Cao Dept. of Computer Science and Engineering Pennsylvania State University Mudhakar Srivatsa and Arun Iyengar IBM T. J. Watson Research Center. Outline. Introduction

293 views • 28 slides

H eartland E mergency R esponse E xchange

H eartland E mergency R esponse E xchange. Objectives. Effectively manage and proactively exchange information Enhance decision-making and risk assessment Inform emergency planning and response procedures. Goals of the Project.

215 views • 21 slides

248 views • 15 slides

The Andrew File System(AFS)

The Andrew File System(AFS). Bojun Seo(bojun@aces.snu.ac.kr) School of Computer Science and Engineering Seoul National University. Contents. Motivation & Goal AFS version 1 AFS version 2 Cache consistency Crash recovery Scalability and performance Summary. Motivation & Goal.

153 views • 13 slides

OceanStore

107 views • 10 slides

More CODA replication

More CODA replication. Replica States may be transformed by Updates Storing files on closing, creation/deletions etc.

61 views • 5 slides