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The Eucalyptus Open-Source Cloud-Computing System
Abstract
Cloud computing systems fundamentally provide access to large pools of data and computational resources through a variety of interfaces similar in spirit to existing grid and HPC resource management and programming systems. These types of systems offer a new programming target for scalable application developers and have gained popularity over the past few years. However, most cloud computing systems in operation today are proprietary, rely upon infrastructure that is invisible to the research community, or are not explicitly designed to be instrumented and modified by systems researchers. In this work, we present Eucalyptus - an open-source software framework for cloud computing that implements what is commonly referred to as infrastructure as a service (IaaS); systems that give users the ability to run and control entire virtual machine instances deployed across a variety physical resources. We outline the basic principles of the Eucalyptus design, detail important operational aspects of the system, and discuss architectural trade-offs that we have made in order to allow EUCALYPTUS to be portable, modular and simple to use on infrastructure commonly found within academic settings. Finally, we provide evidence that EUCALYPTUS enables users familiar with existing grid and HPC systems to explore new cloud computing functionality while maintaining access to existing, familiar application development software and grid middleware.
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Citations
Cites
(2007) · doi:10.1145/1294261.1294281 · Cited by 3,447
Cited by
(2011) · doi:10.5555/1972457.1972488 · Cited by 1,619
Cloud Computing: Issues and Challenges
Dillon, T., Wu, C., & Chang, E. (2010) · 2010 24th IEEE International Conference on Advanced Information Networking and Applications · doi:10.1109/aina.2010.187 · Cited by 1,369
Cost-Optimal Scheduling in Hybrid IaaS Clouds for Deadline Constrained Workloads
Van den Bossche, R., Vanmechelen, K., & Broeckhove, J. (2010) · 2010 IEEE 3rd International Conference on Cloud Computing · doi:10.1109/cloud.2010.58 · Cited by 334
Hajibaba, M., & Gorgin, S. (2014) · Journal of Computing and Information Technology · doi:10.2498/cit.1002381 · Cited by 93
Cloud-based bioinformatics workflow platform for large-scale next-generation sequencing analyses
Liu, B., Madduri, R. K., Sotomayor, B., Chard, K., Lacinski, L., Dave, U. J., Li, J., Liu, C., & Foster, I. T. (2014) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2014.01.005 · Cited by 81
Metadata
- Authors
- Nurmi, D., Wolski, R., Grzegorczyk, C., Obertelli, G., Soman, S., Youseff, L., & Zagorodnov, D.
- Venue
- 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
- Publisher
- IEEE
- Published
- 2009
- Pages
- 124-131
- OpenAlex
- W2140919237
- Cited by
- 1,782
- References
- 1
- FWCI
- 215.41
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Nurmi, D., Wolski, R., Grzegorczyk, C., Obertelli, G., Soman, S., Youseff, L., & Zagorodnov, D. (2009). The Eucalyptus Open-Source Cloud-Computing System. 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid. https://doi.org/10.1109/ccgrid.2009.93
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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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