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Cloud Computing: Distributed Internet Computing for IT and Scientific Research

Dikaiakos, Marios D., Katsaros, Dimitrios, Mehra, Pankaj, Pallis, George, Vakali, Athena·2009·IEEE Internet Computing

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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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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CoChat. (2026). Citation check: Cloud Computing: Distributed Internet Computing for IT and Scientific Research. https://app.cochat.ai/papers/10.1109/mic.2009.103
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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.