Eucalyptus is open source software for building AWS-compatible private clouds. Eucalyptus is a set of web services, modeled after and compatible with Amazon Web Services (AWS). Written mostly in Java, Eucalyptus integrates components from over 100 open source projects, tested and packaged into a single easy-to-install and easy-to-use product. Eucalyptus runs on virtualized infrastructure (Linux+KVM). Eucalyptus is actually an acronym, which stands for ”Elastic Utility Computing Architecture, Linking Your Programs To Useful Systems”.

References in zbMATH (referenced in 22 articles )

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  1. Drawert, Brian; Trogdon, Michael; Toor, Salman; Petzold, Linda; Hellander, Andreas: MOLNs: a cloud platform for interactive, reproducible, and scalable spatial stochastic computational experiments in systems biology using pyurdme (2016) ioport
  2. Tamura, Yoshinobu; Yamada, Shigeru: Reliability computing and management considering the network traffic for a cloud computing (2016)
  3. Dantas, Jamilson; Matos, Rubens; Araujo, Jean; Maciel, Paulo: Eucalyptus-based private clouds: availability modeling and comparison to the cost of a public cloud (2015)
  4. Walraven, Stefan; Truyen, Eddy; Joosen, Wouter: Comparing PaaS offerings in light of SaaS development. A comparison of PaaS platforms based on a practical case study (2014) ioport
  5. Zhao, Jiaqi; Mhedheb, Yousri; Tao, Jie; Jrad, Foued; Liu, Qinghuai; Streit, Achim: Using a vision cognitive algorithm to schedule virtual machines (2014)
  6. Wu, Qingtao; Zhang, Mingchuan; Zheng, Ruijuan; Lou, Ying; Wei, Wangyang: A QoS-satisfied prediction model for cloud-service composition based on a hidden Markov model (2013) ioport
  7. Calcavecchia, Alberto Gusz Maarten Nicolò M.; Caprarescu, Bogdan A.; Di Nitto, Elisabetta; Dubois, Daniel J.; Petcu, Dana: DEPAS: a decentralized probabilistic algorithm for auto-scaling (2012) ioport
  8. Calcavecchia, Nicolò M.; Caprarescu, Bogdan A.; Di Nitto, Elisabetta; Bubois, Daniel J.; Petcu, Dana: \textttDEPAS: a decentralized probabilistic algorithm for auto-scaling (2012)
  9. Chen, Hai-Bo; Zhang, Feng-Zhe; Chen, Rong; Zang, Bin-Yu; Yew, Pen-Chung: Mercury: combining performance with dependability using self-virtualization (2012) ioport
  10. Grinberg, Simon; Weiss, Shlomo: Architectural virtualization extensions: a systems perspective (2012) ioport
  11. Javadi, Bahman; Abawajy, Jemal; Buyya, Rajkumar: Failure-aware resource provisioning for hybrid Cloud infrastructure (2012) ioport
  12. Salehi, Mohsen Amini; Javadi, Bahman; Buyya, Rajkumar: QoS and preemption aware scheduling in federated and virtualized grid computing environments (2012) ioport
  13. Villegas, David; Bobroff, Norman; Rodero, Ivan; Delgado, Javier; Liu, Yanbin; Devarakonda, Aditya; Fong, Liana; Sadjadi, S. Masoud; Parashar, Manish: Cloud federation in a layered service model (2012) ioport
  14. Byun, Eun-Kyu; Kee, Yang-Suk; Kim, Jin-Soo; Deelman, Ewa; Maeng, Seungryoul: BTS: Resource capacity estimate for time-targeted science workflows (2011) ioport
  15. Montero, Ruben S.; Moreno-Vozmediano, Rafael; Llorente, Ignacio M.: An elasticity model for High Throughput Computing clusters (2011) ioport
  16. Ramakrishnan, Lavanya; Chase, Jeffrey S.; Gannon, Dennis; Nurmi, Daniel; Wolski, Rich: Deadline-sensitive workflow orchestration without explicit resource control (2011) ioport
  17. Truong, Hong-Linh; Dustdar, Schahram: Cloud computing for small research groups in computational science and engineering: current status and outlook (2011)
  18. Wang, Lizhe; Kunze, Marcel; Tao, Jie; von Laszewski, Gregor: Towards building a cloud for scientific applications (2011) ioport
  19. de Assunção, Marcos Dias; di Costanzo, Alexandre; Buyya, Rajkumar: A cost-benefit analysis of using cloud computing to extend the capacity of clusters (2010) ioport
  20. Grossman, Robert; Gu, Yunhong; Sabala, Michal; Bennet, Colin; Seidman, Jonathan; Mambratti, Joe: The open cloud testbed: Supporting open source cloud computing systems based on large scale high performance, dynamic network services (2010)

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