The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A Taxonomy and Survey of Cloud Computing Systems
Abstract
The computational world is becoming very large and complex. Cloud Computing has emerged as a popular computing model to support processing large volumetric data using clusters of commodity computers. According to J.Dean and S. Ghemawat [1], Google currently processes over 20 terabytes of raw Web data. It's some fascinating, large-scale processing of data that makes your head spin and appreciate the years of distributed computing fine-tuning applied to today's large problems. The evolution of cloud computing can handle such massive data as per on demand service. Nowadays the computational world is opting for pay-for-use models and Hype and discussion aside, there remains no concrete definition of cloud computing. In this paper, we first develop a comprehensive taxonomy for describing cloud computing architecture. Then we use this taxonomy to survey several existing cloud computing services developed by various projects world-wide such as Google, force.com, Amazon. We use the taxonomy and survey results not only to identify similarities and differences of the architectural approaches of cloud computing, but also to identify areas requiring further research.
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Cites
MapReduce: simplified data processing on large clusters
Dean, J., & Ghemawat, S. (2008) · Communications of the ACM · doi:10.1145/1327452.1327492 · Cited by 18,476
Above the Clouds: A Berkeley View of Cloud Computing
Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R. H., Konwinski, A., Lee, G., Patterson, D. A., Rabkin, A., Stoica, I. G., et al. (2009) · Cited by 5,796
Golden, B. (2007) · CERN Document Server (European Organization for Nuclear Research) · Cited by 57
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Perera, C., Zaslavsky, A., Christen, P., & Georgakopoulos, D. (2014) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.2704 · Cited by 991
Simsek, M., Aijaz, A., Dohler, M., Sachs, J., & Fettweis, G. (2016) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2016.2525398 · Cited by 753
Aceto, G., Botta, A., de Donato, W., & Pescapè, A. (2013) · Computer Networks · doi:10.1016/j.comnet.2013.04.001 · Cited by 554
Security and privacy in fog computing: Challenges
Mukherjee, M., Matam, R., Shu, L., Maglaras, L., Ferrag, M. A., Choudhury, N., & Kumar, V. (2017) · IEEE Access · doi:10.1109/access.2017.2749422 · Cited by 533
Sensing as a Service and Big Data
Zaslavsky, A., Perera, C., & Georgakopoulos, D. (2013) · arXiv · doi:10.48550/arxiv.1301.0159 · Cited by 440
Metadata
- Authors
- Rimal, B. P., Choi, E., & Lumb, I.
- Venue
- 2009 Fifth International Joint Conference on INC, IMS and IDC
- Publisher
- IEEE
- Published
- 2009
- Pages
- 44-51
- OpenAlex
- W1993949541
- Cited by
- 1,314
- References
- 3
- FWCI
- 50.55
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Rimal, B. P., Choi, E., & Lumb, I. (2009). A Taxonomy and Survey of Cloud Computing Systems. 2009 Fifth International Joint Conference on INC, IMS and IDC. https://doi.org/10.1109/ncm.2009.218
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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