SICC 2019: Swarm Intelligence for Cloud Computing |
Website | http://sicc.teamsb.net/ |
Submission link | https://easychair.org/conferences/?conf=sicc2019 |
Abstract registration deadline | August 31, 2018 |
Submission deadline | November 15, 2018 |
Cloud computing is a newly developed platform for providing IT services. Similar to traditional utility services, subscribers of cloud computing only pay for the services and resources that they use. Major IT companies such as Amazon, Google and Microsoft are currently providing cloud services and resources. These companies consider cloud computing as future of IT operations. Subscribers do not have to build or maintain their own IT infrastructures. Cloud computing allows the subscribers to rapidly and inexpensively re-provision IT resources for various needs. Due to flexibility, security, availability, scalability and affordability, cloud computing has begun to attract the attention of IT stakeholders. The features provided by cloud computing are extremely beneficial for small organizations that lack funding to maintain their own infrastructure. Nowadays many organizations are leaning towards this new technology for various IT related infrastructural and application needs. So far, the familiarities of cloud computing has been explored up to an extent at different levels which mostly involve its infrastructural and security related know how, still a wide scope remains for the research. Primitive technological development needs to be augmented with high end intelligent approaches so that the cloud set up becomes more robust and efficient. People are still concerned about its sustainability and stability of infrastructure and security of services and data over the cloud. Since it is run over a distributed platform, many complexities and constraints come under consideration at practical level implementation. Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The swarm intelligent techniques operate by exploration and exploitation of a search space of possible solutions to a problem. SI techniques are generally higher-level procedures designed to select a partial search algorithm that may lead to a sufficiently good solution to an optimization problem, especially with incomplete or imperfect information. The basic principle is to sample a set of solutions which is large enough to be completely sampled. As these techniques make few assumptions about the optimization problem to be solved, they may be put to use in a variety of problems. Hence, these techniques have been found to offer prospective solutions to degenerate problems and the cloud computing paradigm is no exception. This book will present some state of the art researches involving swarm and hybrid swarm intelligence for evolving optimized cloud security, reliability and infrastructural stability. Security related task will focus on public auditing of data and services. Infrastructural development will be focused on various aspects like task scheduling, virtual machine allocation, load balancing and optimization, deadline handling, power-aware profiling, fault resilience, cost effective design and energy efficiency.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
- Prospective authors are invited to submit a 3- 4 pages Abstract of the paper along with title of the paper and author details. Abstract should highlight the novelty and contribution of the proposed article.
- Authors need to submit this abstract using the Easy Chair submission link given in http://sicc.teamsb.net/#submission
List of Topics
- Cloud Computing Paradigm
- Distributed algorithms and intelligent algorithms for cloud frameworks
- Swarm intelligent approaches for task scheduling and load balancing in cloud computing platform
- Security Management in Cloud Computing
Publication
SICC 2019 proceedings will be published in CRC Press
Contact
All questions about submissions should be emailed to dr.siddhartha.bhattacharyya@gmail.com.