The Dynamic Computational Model and the New Era of Cloud Computation Using Microsoft Azure
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ORIGINAL RESEARCH
The Dynamic Computational Model and the New Era of Cloud Computation Using Microsoft Azure Srinivasa Rao Gundu1 · Charan Arur Panem2 · Anuradha Thimmapuram1 Received: 7 June 2020 / Accepted: 12 June 2020 © Springer Nature Singapore Pte Ltd 2020
Abstract The new era of computation has given new directions for advancement and sophistication. The meaning of computation has made a paradigm shift from device and location orientation to the distributed level. Storage has become cheaper. Multiple technologies and their interconnections and their wide range of services have made this planet to be more sophisticated and more flexible in computing. Service orientation based computing of cloud has achieved a huge success. Data centers has already existing even before the emergence of cloud technology, but cloud makes these data centers to communicate, between these data centers and allocate the resources properly and functioning appropriately using a network and to used these resources and maintain them properly. Most of the cloud services providers have their own Data center. ‘Azure’ online cloud platform provided Microsoft provides cloud services and resources to the end-user. Its pricing mechanism is economical and flexible. One can learn Azure very easily and Micro soft company provides Azure certifications for the one who qualifies with international standards. Keywords Computational model · Cloud computing · Cloud data centers · Microsoft azure · Blob · Web services · App service · Fabric controller · Virtual networks · Azure DevOps · Azure data factory · Pipeline · Data lake
Introduction to Cloud Technology To day data is not limited to the hard disk. Cloud is a distributed computational solution. It is an umbrella of a wide range of different services and computational models. In a cloud server several virtual machines are created and ‘user request task processing’ is migrated among several virtual machines as per the needs and algorithms design. This This article is part of the topical collection “Advances in Computational Approaches for Artificial Intelligence, Image Processing, IoT and Cloud Applications” guest edited by Bhanu Prakash K N and M. Shivakumar. * Srinivasa Rao Gundu [email protected] Charan Arur Panem [email protected] Anuradha Thimmapuram [email protected] 1
Dept of Computer Science, Dravidian University, Kuppam, Andhra Pradesh, India
Dept of Electronics, Goa University, Goa, India
2
migration sometimes goes out from the existing computer server to the other also. Cloud is a next generation computational architecture which implements distributed computing. In earlier year of 1940’s IBM started Mainframes, which are large computational units leveraging multiple processing. Mainframes are used for the purpose of processing huge amount of data, like ERP applications. In the year 1969, ‘Leonard Weinrock’ as part of ARPANET, started internet. Mainframes are followed by cluster computing in the late 1970s. Cluster computing is followed by Grid computing
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