Thursday, July 25, 2019

Cloud Computing Case Study Example | Topics and Well Written Essays - 500 words

Cloud Computing - Case Study Example This is achieved through being allowed to pay at a very low rate the capacity which they use only (AmazonWebService, November 2012). The provision of Software-as-a-Service and Infrastructure-as-a-Service offloads the burden of constantly updating systems both hardware and software from the consumer to service provider. In this regard Ericsson rides on the latest and updated systems handing at no extra cost. Cloud based systems such as the ones offered by AWS are accessed through web APIs which can be remotely accessed from virtually anywhere in the world offering a very flexible and highly convenient system which to international companies such as Erickson redefines global outreach literally. Furthermore Cloud based systems are a 24 hour service which allow round the clock access as a results clients are able to get an on demand availability of their data and systems. On demand systems offered by AWS Allows ericsson to work only with the capacities they require as and when they are n eeded as such no resource goes to waste of idle time and they freed from costs arising from long term planning upgrades and maintenance of systems. The fact that Ericsson runs mobile networks, a real-time on demand availability of their systems offers a cutting edge market advantage over their competitors (Dodani, 2009). Ericsson cloud based systems uses Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Services (S3), and Rightscale. These are powerful and robust services provided by Amazon designed to simplify cloud computing. Amazon EC2 for example provides a complete control of the system as if it were on premise by allowing users to obtain and configure their systems capacity with a lot of ease. Acquisition and booting a new server through Amazon EC2 has been simplified providing a quick means of either increasing or decreasing capacity depending with system requirements (AmazonWebService, November 2012). This is a highly scalable

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