Amazon / 3M / Google / LiveJournal / Pregel.NET / MapReduce / Vertex / Microsoft / using MapReduce / using Pregel / using the Pregel/BSP model encounter performance / /
Currency
USD / / / /
Facility
Viktor K. Prasanna University of Southern California / /
IndustryTerm
parallel graph processing / scientific applications / 400Mbps network / graph processing frameworks / memory processors / graph traversal algorithms / less complex algorithms / representative algorithm / virtualized commodity hardware / pervasive large-scale data processing model / graph processing / large server / local server / Web UI / wider / web form / graph processing framework / graph processing model / tuple-based data-intensive applications / smallworld networks / graph algorithms / important tool / complexity graph algorithms / Recent distributed graph processing frameworks / memory-based message buffering systems / remote communications / intensive algorithms / Web role / patent citation network / time public cloud computing services / over-provisioned systems / commodity hardware / intensive algorithm / web graph / social networks / computing / distributed graph processing approaches / vertexcentric graph processing / graph analysis algorithms / graph applications / large-scale data processing / scientific computing / provisioned systems / distributed graph algorithms / Web Services / /
OperatingSystem
VMs / Microsoft Windows / /
Organization
U.S. Securities and Exchange Commission / University of Southern California / /