Affiliation:
1. Smt. Chandaben Mohanbhai Patel Institute of Computer Applications, India
Abstract
In recent years, internet of things (IoT) has expanded due to very good internet infrastructure everywhere. IoT has the ability to create a network of physical things that use embedded technologies in order to sense, converse, cooperate, and team up with other things. IoT-based applications require scalability and fault tolerance, which is very difficult to implement in centralized systems and computing environments. Distributed computing is an ideal solution to implement IoT-based applications. The chapter starts with the basics of distributed computing where difference with centralized computing, challenges, and types of distributed computing applications are discussed. The chapter deals with the role of distributed computing for IoT based on advantages, issues, and related IoT-based applications. The chapter discusses the recent topic of distributed computing—FOG computing—in connection with IoT-based applications. At last, the chapter addresses research and interest trends about distributed computing and IoT.
Reference37 articles.
1. Arora, M., Das, S. K., & Biswas, R. (2002). A Decentralized Scheduling and Load Balancing algorithm for Heterogeneous Grid Environments. Proc. Of International Conference on Parallel Processing Workshops (ICPPW’02), 499 - 505.
2. Optimal oblivious routing in polynomial time;Y.Azar;Proceedings of the 35th ACM Symposium on Theory of Computing,2003
3. Braden, R., Clark, D., & Shenker, S. (1994). Integrated services in t he Internet architecture: An overview. RFC1633.
4. Cao, Y. (2005). Parallel and Distributed Computing techniques in Biomedical Engineering (Ph.D thesis). National University of Singapore.
5. A taxonomy of scheduling in general-purpose distributed computing systems
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献