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Cloud Computing: Distributed Internet Computing for IT and Scientific Research
Abstract
Cloud computing is a disruptive technology with profound implications not only for Internet services but also for the IT sector as a whole. Its emergence promises to streamline the on-demand provisioning of software, hardware, and data as a service, achieving economies of scale in IT solutions' deployment and operation. This issue's articles tackle topics including architecture and management of cloud computing infrastructures, SaaS and IaaS applications, discovery of services and data in cloud computing infrastructures, and cross-platform interoperability. Still, several outstanding issues exist, particularly related to SLAs, security and privacy, and power efficiency. Other open issues include ownership, data transfer bottlenecks, performance unpredictability, reliability, and software licensing issues. Finally, hosted applications' business models must show a clear pathway to monetizing cloud computing. Several companies have already built Internet consumer services such as search, social networking, Web email, and online commerce that use cloud computing infrastructure. Above all, cloud computing's still unknown "killer application" will determine many of the challenges and the solutions we must develop to make this technology work in practice.
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Citations
Cited by
Oliveira, T., Thomas, M., & Espadanal, M. (2014) · Information & Management · doi:10.1016/j.im.2014.03.006 · Cited by 1,255
A survey of machine learning for big data processing
Qiu, J., Wu, Q., Ding, G., Xu, Y., & Feng, S. (2016) · EURASIP Journal on Advances in Signal Processing · doi:10.1186/s13634-016-0355-x · Cited by 894
Examining cloud computing adoption intention, pricing mechanism, and deployment model
Hsu, P.-F., Ray, S., & Li-Hsieh, Y.-Y. (2014) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2014.04.006 · Cited by 444
China's “smart tourism destination” initiative: A taste of the service-dominant logic
Wang, D., Li, X. (., & Li, Y. (2013) · Journal of Destination Marketing & Management · doi:10.1016/j.jdmm.2013.05.004 · Cited by 352
Scalable Computing: Practice and Experience
(2013) · Scalable Computing Practice and Experience · doi:10.12694/issn.1895-1767 · Cited by 280
Metadata
- Authors
- Dikaiakos, M. D., Katsaros, D., Mehra, P., Pallis, G., & Vakali, A.
- Venue
- IEEE Internet Computing
- Published
- 2009-09
- Volume
- 13
- Issue
- 5
- Pages
- 10-13
- ISSN
- 1089-7801 (ISSN-L)
- OpenAlex
- W2046235404
- Cited by
- 795
- References
- 0
- FWCI
- 167.71
- Type
- journal article
- Language
- en
- Open access
- closed
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- Dikaiakos, M. D., Katsaros, D., Mehra, P., Pallis, G., & Vakali, A. (2009). Cloud Computing: Distributed Internet Computing for IT and Scientific Research. IEEE Internet Computing. https://doi.org/10.1109/mic.2009.103
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.