AimThe rapid progress in science and technology over the recent decade has provided a foundation for the development of advanced complex systems or networks. However, the increasing complexities and sophistications of the problems that we attempt to deal with today have led to new emerging challenges pertaining to design, implementation and evaluation of reliable complex systems or networks.
Today, cloud computing has become an increasingly important driving platform for business strategies and real world applications. In particular, it is now a major driving force for complex social, financial, environmental, cultural, and organisational events and activities. The reliability of cloud computing is particularly essential and beginning to garner new attentions. Recent incidents pertaining to the failure of mobile network services are excellent examples that illustrate the importance of system reliability in cloud computing. Disruptions in the Hotmail and Gmail services have resulted in significant email data loss by customers. The unintentional leak of sensitive personal information by Facebook has also violated user privacy. The reliability of cloud computing is thus an important but challenging topic that is required to be dealt with a great care.
For cloud computing, network reliability is a critical issue affecting its overall performance. Network reliability is generally defined as the probability that a given amount of data is successfully delivered from a set of source nodes to a set of sink nodes under particular conditions. The network reliability problem is Non-deterministic Polynomial-time hard (NP-Hard). The computational effort of this problem grows exponentially with the increase of the number of nodes and the number of links in a network. A modern cloud may consist of thousands of nodes, which makes many well-known algorithms and innovative methods impracticable to estimate network reliability within limited time. Notably, cloud computing is dynamic, as network parameters (e.g., bandwidth or speed) often change quickly. Therefore, there is always a need to evaluate and predict the performance reliability of cloud computing against time-variant responses
To solve NP-Hard problems and to achieve better quality solutions, modern computational intelligence (e.g., evolutionary, Swarm intelligent and artificial neural network) have been proposed for complex optimization problems. Despite a significant amount of research on computational intelligence, there remain many open issues and intriguing challenges in the field. The aims of this symposium are to reflect on the latest advances in intelligent design for reliable network, to explore the emerging or future directions of reliability research and cloud computing in computational intelligence, and to raise the awareness of the computing community at large on this effective technology of intelligent design for reliable cloud computing. Specifically, we endeavor to demonstrate the current state-of-the-art concepts, theory and practice of intelligent and reliable design.
- Topics relevant to this special session include, but are not limited to, the following applications of computational intelligence, including Artificial Neural Networks, Fuzzy Systems, and Evolutionary Algorithms: Novel competitive, collaborative and cooperative frameworks of clouding computing model,
- Analytical and/or theoretical studies that enhance our understanding on the behaviors of Intelligent Design,
- Intelligent Redundancy allocation Design,
- Formal and Probabilistic Single/Multi-Objective Intelligent Design,
- Cognitive, Brain, individual learning, and social learning inspired Intelligent Design,
- Partial or full or meta-Lamarckian/Baldwinian, meta-learning, agent based computational intelligence in designing reliable clouding computing,
- Computational intelligence frameworks using surrogate or approximation methods in designing reliable clouding computing,
- Computational intelligence for computationally expensive problems and real-world applications,
- Knowledge incorporation in clouding computing.
DeadlineThe deadline for submissions to this special session is 20 December 2013.
Information for Authors1) Information on the format and templates for papers can be found here:
2) Papers should be submitted via the IJCNN 2014 paper submission site:
3 Select the Special Session name in the Main Research topic dropdown list
4) Fill out the input fields, upload the PDF file of your paper and finalize your submission by the deadline of December 20, 2013
- Dr. Wei-Chang Yeh, National Tsing Hua University, Taiwan. firstname.lastname@example.org
- Dr. G. Levitin, The Israel Electric Corp., Israel. email@example.com
- Dr. Hoang Pham, Rutgers, United State. firstname.lastname@example.org
- Dr. Jiankun Hu, University of New South Wales, Australia. J.Hu@adfa.edu.au
- Dr. Jinjun Chen, University of Technology, Sydney. Jinjun.Chen@uts.edu.au