Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Collin Gordon"'
Publikováno v:
Computer. 53:16-25
Major software tools for distributed-data analysis, such as MapReduce and Spark, examine data items on separate disks by streaming them into memory. We contrast data streaming against an agent-based approach that moves analyzing units through distrib
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030242985
PAAMS (Workshops)
PAAMS (Workshops)
The current trend for parallelizing scalable graph analysis is to use major big-data tools such as MapReduce, Spark/GraphX, and Storm. Each programming framework uses graph analysis strategies based on either (1) message passing among graph vertices
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74c91f9165e94c13972c7edb9f168321
https://doi.org/10.1007/978-3-030-24299-2_1
https://doi.org/10.1007/978-3-030-24299-2_1
Publikováno v:
2018 Winter Simulation Conference (WSC).
Autor:
Collin Gordon, Munehiro Fukuda
Publikováno v:
Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection ISBN: 9783319945798
PAAMS
PAAMS
The Multi-Agent Spatial Simulation (MASS) library, which we have developed at University of Washington Bothell, provides the efficiency of agent-based parallelization while abstracting the parallel environment for the agent-based model [1]. It provid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a0ca9bf78c5c68f3dd5eae28312145e
https://doi.org/10.1007/978-3-319-94580-4_28
https://doi.org/10.1007/978-3-319-94580-4_28