NDLI: Impacts of Pheromone Modification Strategies in Ant Colony for Data-Intensive Service Provision

Content Provider	IEEE Xplore Digital Library
Author	Lijuan Wang Jun Shen Junzhou Luo
Copyright Year	2014
Description	Author affiliation: Sch. of Inf. Syst. & Technol., Univ. of Wollongong, Wollongong, NSW, Australia (Lijuan Wang; Jun Shen) \|\| Sch. of Comput. Sci. & Eng., Southeast Univ., Nanjing, China (Junzhou Luo)
Abstract	In the provision of dynamic data-intensive services, the cost and response time of data sets as well as the states of services may change over time. An ant colony system for this problem is studied in this paper. Specifically, we consider changing the QoS attributes of services and replacing a certain number of services with new ones at different frequencies. In order to adapt the ant colony system to handle the dynamic scenarios, several pheromone modification strategies in reaction to changes of the optimization scenarios are investigated. The aim of the strategies is to find a balance between preserving enough old pheromone information to speed up the search process, and resetting enough new pheromone information to facilitate the ants to find a new solution for the changed scenarios. The strategies differ in their degree of reinitialized pheromone values with respect to the information that has been used to decide the amount of pheromone values. Moreover, the behaviors of different strategies for modifying pheromone information are compared.
Starting Page	177
Ending Page	184
File Size	662022
Page Count	8
File Format	PDF
e-ISBN	9781479950546
DOI	10.1109/ICWS.2014.36
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heuristic algorithms Optimization Concrete Algorithm design and analysis Abstracts Quality of service Web services dynamic optimization Ant colony system data-intensive service composition
Content Type	Text
Resource Type	Article

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