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Software systems and computational methods
Reference:

Methodology for assessing the intensity of maintenance of a globally distributed computing system
Shchemelinin Dmitry

PhD in Technical Science

Doctoral student, Department: Engineering Graphics and Design, Peter the Great St. Petersburg Polytechnic University

195251, Russia, g. Saint Petersburg, ul. Politekhnicheskaya, 29

dshchmel@gmail.com

 

 
Efimov Vadim Vyacheslavovich

Postgraduate Student, Department of Engineering Graphics and Design, Peter the Great St. Petersburg Polytechnic University

195251, Russia, g. Saint Petersburg, ul. Politekhnicheskaya, 29

2vadim@inbox.ru

Abstract.

The subject of the research is new software releases and subsequent restrictions on the intensity of installing new software releases for modern cloud services, which are complex globally distributed computing systems that require continuous maintenance. The object of the research is the globally distributed cloud computing system of RingCentral (USA). The authors consider in detail the important criteria for business in the transition to a cloud service, including the levels of availability of modern information services for globally distributed computing systems, taking into account the growing number of changes in them. The article proposes a new method of experimental calculation of the maximum intensity of installation and software updates in cloud information systems without degrading the quality of information services. With the increasing degree of functional decomposition of cloud systems and the number of servers, the issue of assessing the intensity of software changes for globally distributed computing systems becomes urgent. The proposed method allowed the authors to efficiently serve RingCentral's global cloud information system without interruption in its operation.

Keywords: software deployment, software release cycle, cloud technologies, high availability, resilience, maintenance, distributed IT systems, change management, outage prevention, continuous deployment

DOI:

10.7256/2454-0714.2018.4.27842

Article was received:

07-11-2018


Review date:

30-10-2018


Publish date:

10-01-2019


This article written in Russian. You can find full text of article in Russian here .

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