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Infrastructure-as-a-Service (IaaS) Delivery Model in Cloud
Published in Sunilkumar Manvi, Gopal K. Shyam, Cloud Computing, 2021
Sunilkumar Manvi, Gopal K. Shyam
Amazon Elastic Compute Cloud (Amazon EC2) is an Amazon Web Service (AWS) you can use to access servers, software, and storage resources across the Internet in a self-service manner. It provides scalable, pay as-you-go compute capacity. Also the resources provided are elastic and scales in both direction. Chief characteristics of the services provided are: (i) Amazon Machine Image (AMI) and Instance, (ii) Region & Zones, (iii) Storage, (iv) Networking and Security, (v) Monitoring, (vi) Auto Scaling and (vii) Load Balancer.
Containers and Microservices
Published in Haishi Bai, Zen of Cloud, 2019
Amazon ECS container instances run on a cluster formed by Amazon Elastic Compute Cloud (EC2) virtual machines. ECS provides a built-in (but simpler) orchestration engine so that you can easily scale your tasks (or applications). If you want to use a more sophisticated orchestration engine like Kubernetes, you need to use a different Amazon service—Amazon Elastic Container Service for Kubernetes (EKS).
An interactive platform for the analysis of landscape patterns: a cloud-based parallel approach
Published in Annals of GIS, 2019
Jing Deng, Michael R. Desjardins, Eric M. Delmelle
Deriving landscape analysis metrics can be a computationally demanding task, and to complete the analysis in an efficient manner, we rely on computing resources that work in parallel. We apply a cloud computing-based elastic platform (Amazon EC2) to leverage multiple high-performance computing resources according to the problem size. Amazon Elastic Compute Cloud (EC2) is a commercial cloud computing platform that provides virtual computers for rent through a web service. It is elastic because users pay based on the computation time of the resources they use. This computing mode facilitates the centralized management of physical machines and provides efficient computation services without the constraints of geographical location (Amazon 2010).