A genetic programming approach to distributed execution of data-intensive web service compositions

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{conf/acsc/YuMZ16,

• author = "Yang Yu and Hui Ma and Mengjie Zhang",
• title = "A genetic programming approach to distributed execution of data-intensive web service compositions",
• publisher = "ACM",
• year = "2016",
• booktitle = "Proceedings of the Australasian Computer Science Week Multiconference, ACSW '16",
• address = "Canberra, Australia",
• pages = "29:1--29:9",
• keywords = "genetic algorithms, genetic programming, Distributed, Data-Intensive, Service Composition",
• isbn13 = "978-1-4503-4042-7",
• bibdate = "2016-02-11",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/acsc/acsw2016.html#YuMZ16",
• URL = "http://dl.acm.org/citation.cfm?id=2843043",
• DOI = "doi:10.1145/2843043.2843046",
• acmid = "2843046",
• size = "9 pages",
• abstract = "The executions of composite web services are typically co-ordinated by a centralized workflow engine. As a result, the centralized execution paradigm suffers from inefficient communication and a single point of failure. This is particularly problematic in the context of data-intensive processes. To that end, more distributed and flexible execution paradigms are required. In this paper, we present a genetic programming approach to partitioning a BPEL data-intensive process into a set of sub-processes which can be executed in a fully distributed manner. Meanwhile, the approach takes into account the communication latency and costs inside and across the partitions. The experimental results show that our proposed approach outperforms two existing methods for complex data-intensive processes.",
• notes = "ACE/ACSC/AISC/APCMM/AUIC/AWC",

}

Genetic Programming entries for Yang Yu Hui Ma Mengjie Zhang

Citations