Journal
CHINA COMMUNICATIONS
Volume 13, Issue 10, Pages 233-244Publisher
CHINA INST COMMUNICATIONS
DOI: 10.1109/CC.2016.7733047
Keywords
optimization of service composition; optimal service instantiation; artificial bee colony algorithm; swarm algorithm; cross strategy
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Funding
- Project Multifunctional mobile phone R & D and industrialization of the Internet of things by the Project of the Provincial Department of research [2011A090200008]
- National Science and Technology Major Project [2010ZX07102-006]
- National Basic Research Program of China (973 Program) [2011CB505402]
- Major Program of the National Natural Science Foundation of China [61170117]
- National Natural Science Foundation of China [61432004]
- National Key Research and Development Program [2016YFB1001404]
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Internet of things (IoT) imposes new challenges on service composition as it is difficult to manage a quick instantiation of a complex services from a growing number of dynamic candidate services. A cross-modified Artificial Bee Colony Algorithm (CMABC) is proposed to achieve the optimal solution services in an acceptable time and high accuracy. Firstly, web service instantiation model was established. What is more, to overcome the problem of discrete and chaotic solution space, the global optimal solution was used to accelerate convergence rate by imitating the cross operation of Genetic algorithm (GA). The simulation experiment result shows that CMABC exhibited faster convergence speed and better convergence accuracy than some other intelligent optimization algorithms.
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