Welcome to the InfoSci Platform
Reference Hub1
Challenges for Convergence of Cloud and IoT in Applications and Edge Computing

Challenges for Convergence of Cloud and IoT in Applications and Edge Computing

Rashmi S., Roopashree S., Sathiyamoorthi V.
Copyright: © 2021 |Pages: 20
ISBN13: 9781799831112|ISBN10: 1799831116|ISBN13 Softcover: 9781799831129|EISBN13: 9781799831136
DOI: 10.4018/978-1-7998-3111-2.ch002
Cite Chapter Cite Chapter

MLA

S., Rashmi, et al. "Challenges for Convergence of Cloud and IoT in Applications and Edge Computing." Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing, edited by Sathiyamoorthi Velayutham, IGI Global, 2021, pp. 17-36. https://doi.org/10.4018/978-1-7998-3111-2.ch002

APA

S., R., S., R., & V., S. (2021). Challenges for Convergence of Cloud and IoT in Applications and Edge Computing. In S. Velayutham (Ed.), Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing (pp. 17-36). IGI Global. https://doi.org/10.4018/978-1-7998-3111-2.ch002

Chicago

S., Rashmi, Roopashree S., and Sathiyamoorthi V. "Challenges for Convergence of Cloud and IoT in Applications and Edge Computing." In Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing, edited by Sathiyamoorthi Velayutham, 17-36. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-3111-2.ch002

Export Reference

Mendeley
Favorite

Abstract

Cloud computing and internet of things (IoT) are two disparate technologies that can be united for a common purpose as in an operating profit. The technologies are integral parts of modern sophisticated human life. In the future, it is destined to proliferate boundlessly covering utmost spheres. This chapter describes the challenges faced in adopting the two technologies. Edge computing includes both computing and processing the information are carried at the edge of the IoT devices where vast information gathered instead of relying on the central location. Benefits include avoiding latency issues, improving the performance of the application, and cost effectiveness as it reduces the data volume to be processed in cloud/centralized location. In the advent of IoT devices, edge computing is a vital step in building any of its application which sends and receives enormous information to and from the cloud over the course of operations. Applications such as virtual reality and smart systems are benefited by edge computing as they expect higher rate of response and processing speed. A case study on video surveillance is done in this chapter.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.