Advanced Convergence Technologies: Big Data, IoT, Cloud Computing
- Authors
- Park, Jong Hyuk; Hung, Jason C.; Yen, Neil Y.; Jeong, Young-Sik
- Issue Date
- Jul-2014
- Publisher
- LIBRARY & INFORMATION CENTER, NAT DONG HWA UNIV
- Citation
- JOURNAL OF INTERNET TECHNOLOGY, v.15, no.4, pp 589 - 591
- Pages
- 3
- Indexed
- SCIE
SCOPUS
- Journal Title
- JOURNAL OF INTERNET TECHNOLOGY
- Volume
- 15
- Number
- 4
- Start Page
- 589
- End Page
- 591
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/18851
- ISSN
- 1607-9264
2079-4029
- Abstract
- The special issue 2014, Volume 15 of Journal of Internet Technology presents an overview of the state-of-the-art of issues and solution guidelines for the Advanced Convergence Technologies; Big Data, IoT and Cloud Computing. Joon-Min Gil and co-researchers presented a user-created computing framework for desktop grids as entitled 'Organizing a User-Created Computing Environment by RESTful Web Service Open APIs in Desktop Grids.' Using the framework, application developers can utilize DGSs easily and conveniently as computational tools in order to solve their own applications. Sadiq Almuairfi and co-researchers compared IPAS with other authentication schemes by performing two experiments and asking participants to answer a questionnaire as entitled 'A Comparative Study of Authentication Schemes with Security and Usability of IPAS.' They explained the usability and security of IPAS from the users' point of view. Prosper Mafole et al. proposed a novel fragmentation scheme called backoff-free fragment retransmission (BFFR).
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Collections - College of Advanced Convergence Engineering > Department of Computer Science and Artificial Intelligence > 1. Journal Articles

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