Publication:
Achieving Reliability in Master-worker Computing via Evolutionary Dynamics

Thumbnail Image
Identifiers
URI: https://hdl.handle.net/10016/21436
ISBN: 978-3-642-32819-0
DOI: 10.1007/978-3-642-32820-6_45
UXXI: CC/0000014460
Files
archieving_LNCS_2012_ps.pdf (615.75 KB)
Publication date
2012-08
Defense date
Authors
Advisors
Tutors
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Impact
Google Scholar
Export
Research Projects
Organizational Units
Journal Issue
Abstract
This work considers Internet-based task computations in which a master process assigns tasks, over the Internet, to rational workers and collect their responses. The objective is for the master to obtain the correct task outcomes. For this purpose we formulate and study the dynamics of evolution of Internet-based master-worker computations through reinforcement learning.
Description
The proceeding at: 18th International Conference on Parallel and Distributed Computing, Euro-Par 2012), took place 2012, August 27-31, in Rhodes Island, Greece.
Keywords
Bibliographic citation
Euro-Par 2012 Parallel Processing. Lecture Notes in Computer Science 7484 (2012) pp.451 - 463
Collections
DM - GISC - Comunicaciones en Congresos y otros eventos