Amazon EC2

Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers. Amazon EC2’s simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with complete control of your computing resources and lets you run on Amazon’s proven computing environment. Amazon EC2 reduces the time required to obtain and boot new server instances to minutes, allowing you to quickly scale capacity, both up and down, as your computing requirements change. Amazon EC2 changes the economics of computing by allowing you to pay only for capacity that you actually use. Amazon EC2 provides developers the tools to build failure resilient applications and isolate them from common failure scenarios.


References in zbMATH (referenced in 44 articles )

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  1. Ivashko, Evgeniĭ E.; Ivashko, Anna A.; Safonov, Georgiĭ R.; Tchernykh, Andreĭ: Cost-efficient strategy in clouds with spot price uncertainty (2019)
  2. Kirsal, Yonal: Analytical modelling and optimization analysis of large-scale communication systems and networks with repairmen policy (2018)
  3. Cuzzocrea, Alfredo; Cosulschi, Mirel; de Virgilio, Roberto: An effective and efficient MapReduce algorithm for computing BFS-based traversals of large-scale RDF graphs (2016)
  4. Passacantando, Mauro; Ardagna, Danilo; Savi, Anna: Service provisioning problem in cloud and multi-cloud systems (2016)
  5. Rizk, Amr; Poloczek, Felix; Ciucu, Florin: Stochastic bounds in Fork-Join queueing systems under full and partial mapping (2016)
  6. Zhao, Jiaqi; Tao, Jie; Streit, Achim: Enabling collaborative MapReduce on the cloud with a single-sign-on mechanism (2016) ioport
  7. Bringmann, Karl; Doerr, Benjamin; Neumann, Adrian; Sliacan, Jakub: Online checkpointing with improved worst-case guarantees (2015)
  8. Burutarchanai, A.; Chongstitvatana, P.: Calculation of individual stratification by multicore processors (2015) ioport
  9. Dantas, Jamilson; Matos, Rubens; Araujo, Jean; Maciel, Paulo: Eucalyptus-based private clouds: availability modeling and comparison to the cost of a public cloud (2015)
  10. Fürstberger, Axel; Maucher, Markus; Kestler, Hans A.: Extended pairwise local alignment of wild card DNA/RNA sequences using dynamic programming (2015)
  11. Anselmi, Jonatha; Ardagna, Danilo; Passacantando, Mauro: Generalized Nash equilibria for SaaS/PaaS clouds (2014)
  12. Nykiel, Tomasz; Potamias, Michalis; Mishra, Chaitanya; Kollios, George; Koudas, Nick: Sharing across multiple MapReduce jobs (2014)
  13. 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
  14. Zhang, Fangguo; Ma, Xu; Liu, Shengli: Efficient computation outsourcing for inverting a class of homomorphic functions (2014)
  15. Zhao, Jiaqi; Mhedheb, Yousri; Tao, Jie; Jrad, Foued; Liu, Qinghuai; Streit, Achim: Using a vision cognitive algorithm to schedule virtual machines (2014)
  16. Chen, Chih-Yung; Tu, Jih-Fu: A novel cloud computing algorithm of security and privacy (2013) ioport
  17. Nicolae, Bogdan; Cappello, Franck: BlobCR: virtual disk based checkpoint-restart for HPC applications on iaas clouds (2013) ioport
  18. Tsai, Jinn-Tsong; Fang, Jia-Cen; Chou, Jyh-Horng: Optimized task scheduling and resource allocation on cloud computing environment using improved differential evolution algorithm (2013)
  19. Ardagna, Danilo; Casolari, Sara; Colajanni, Michele; Panicucci, Barbara: Dual time-scale distributed capacity allocation and load redirect algorithms for cloud systems (2012)
  20. 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

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