Method for Time Minimization of Api Requests Service from Cyber-Physical System to Cloud Database Management System

Simple item page
dc.citation.epage131
dc.citation.issue2
dc.citation.journalTitleAdvances in Cyber-Physical Systems
dc.citation.spage125
dc.contributor.affiliationLviv Polytechnic National University
dc.contributor.authorPavych, Nataliya
dc.contributor.authorPavych, Tetyana
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
dc.date.accessioned2020-06-16T08:12:19Z
dc.date.available2020-06-16T08:12:19Z
dc.date.created2019-02-26
dc.date.issued2019-02-26
dc.description.abstractAuthors have analyzed the current state of cloud calculations and discovered the necessity of Application Programming Interface (API) usage in some of the cyberphysical systems (CPhS). The expediency of creating tools to reduce service time of Application Programming Interface requests and effective synchronization of the local and cloud database has been established. The authors clarified one of the main features of data replication. The expediency of using counter generations in the replication process instead of using system timer has been justified. The authors proposed the asynchronous method of accelerated service time for API requests to cloud database management systems using a synchronization accumulative table and registering changes in database with two-step sets of generations. Library that provides implementation of asynchronous API requests for Salesforce cloud management systems has been developed. Any Ruby on Rails application can use this library. Authors have evaluated and carried out benefits for the proposed solutions in test cases. Results of the test cases confirm service time minimization of API requests to the cloud database management system based on the proposed asynchronous method.
dc.format.extent125-131
dc.format.pages7
dc.identifier.citationPavych N. Method for Time Minimization of Api Requests Service from Cyber-Physical System to Cloud Database Management System / Nataliya Pavych, Tetyana Pavych // Advances in Cyber-Physical Systems. — Lviv : Lviv Politechnic Publishing House, 2019. — Vol 4. — No 2. — P. 125–131.
dc.identifier.citationenPavych N. Method for Time Minimization of Api Requests Service from Cyber-Physical System to Cloud Database Management System / Nataliya Pavych, Tetyana Pavych // Advances in Cyber-Physical Systems. — Lviv : Lviv Politechnic Publishing House, 2019. — Vol 4. — No 2. — P. 125–131.
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/52235
dc.language.isoen
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofAdvances in Cyber-Physical Systems, 2 (4), 2019
dc.relation.ispartofAdvances in Cyber-Physical Systems, 2 (4), 2019
dc.relation.references[1] Melnyk А. Cyber-physical systems: problems of creation and directions in development. Transactions on Computer systems and networks, Lviv Polytechnic National University Press, No. 806, 2014, pp. 154–161 (in Ukrainian).
dc.relation.references[2] Chappell D. A Short Introduction to Cloud Platforms and Enterprise – Oriented View, Chappell and Associates, San Francisco, 2008, pp. 1–13.
dc.relation.references[3] Lee G. Cloud Computing: Principles, Systems and Applications / Nick Antonopoulos, Lee Gillam. L.: Springer, 2010, pp. 23–24.
dc.relation.references[4] Qusay H. Demystifying Cloud Computing / Hassan, Qusay. – The Journal of Defense Software Engineering. CrossTalk, 2011, pp. 16–21.
dc.relation.references[5] Galen G. What cloud computing really means. [Online]. Available: https://en.wikipedia.org/wiki/InfoWorld
dc.relation.references[6] Fowler M. Patterns of enterprise application architecture. AddisonWesley. 2015, 47 p.
dc.relation.references[7] Pavych N., Kutkovyi B. Accelerated servicing method of API calls to cloud-database management systems. Transactions on Computer systems and networks, Lviv Polytechnic National University Press, No. 883, 2017, pp. 154–161 (in Ukrainian).
dc.relation.references[8] Gilmore J. Meet DataMapper ORM, the Unified Ruby Interface for Data Stores. [Online]. Available: https://www.developer.com/ lang/rubyrails/meet-datamapper-orm-the-unified-ruby-interface-fordata-stores.html
dc.relation.references[9] Rowe M. The POSTGRES data model, Proceedings of the 13th International Conference on Very Large Data Bases, Brighton, England: Morgan Kaufmann Publishers, 2016, pp. 83–96.
dc.relation.references[10] Kutkovyi В., Pavych N. (2017). API-calls optimization for cloud database management systems. Pres. at International Scientific Journal “Internauka”, No 14, 2017. [Online]. Available: https://www.internauka.com/en/issues/2017/14/3003.
dc.relation.referencesen[1] Melnyk A. Cyber-physical systems: problems of creation and directions in development. Transactions on Computer systems and networks, Lviv Polytechnic National University Press, No. 806, 2014, pp. 154–161 (in Ukrainian).
dc.relation.referencesen[2] Chappell D. A Short Introduction to Cloud Platforms and Enterprise – Oriented View, Chappell and Associates, San Francisco, 2008, pp. 1–13.
dc.relation.referencesen[3] Lee G. Cloud Computing: Principles, Systems and Applications, Nick Antonopoulos, Lee Gillam. L., Springer, 2010, pp. 23–24.
dc.relation.referencesen[4] Qusay H. Demystifying Cloud Computing, Hassan, Qusay, The Journal of Defense Software Engineering. CrossTalk, 2011, pp. 16–21.
dc.relation.referencesen[5] Galen G. What cloud computing really means. [Online]. Available: https://en.wikipedia.org/wiki/InfoWorld
dc.relation.referencesen[6] Fowler M. Patterns of enterprise application architecture. AddisonWesley. 2015, 47 p.
dc.relation.referencesen[7] Pavych N., Kutkovyi B. Accelerated servicing method of API calls to cloud-database management systems. Transactions on Computer systems and networks, Lviv Polytechnic National University Press, No. 883, 2017, pp. 154–161 (in Ukrainian).
dc.relation.referencesen[8] Gilmore J. Meet DataMapper ORM, the Unified Ruby Interface for Data Stores. [Online]. Available: https://www.developer.com/ lang/rubyrails/meet-datamapper-orm-the-unified-ruby-interface-fordata-stores.html
dc.relation.referencesen[9] Rowe M. The POSTGRES data model, Proceedings of the 13th International Conference on Very Large Data Bases, Brighton, England: Morgan Kaufmann Publishers, 2016, pp. 83–96.
dc.relation.referencesen[10] Kutkovyi V., Pavych N. (2017). API-calls optimization for cloud database management systems. Pres. at International Scientific Journal "Internauka", No 14, 2017. [Online]. Available: https://www.internauka.com/en/issues/2017/14/3003.
dc.relation.urihttps://en.wikipedia.org/wiki/InfoWorld
dc.relation.urihttps://www.developer.com/
dc.relation.urihttps://www.internauka.com/en/issues/2017/14/3003
dc.rights.holder© Національний університет “Львівська політехніка”, 2019
dc.rights.holder© Pavych N., Pavych T., 2019
dc.subjectAPI requests
dc.subjectcloud database
dc.subjectcyberphysical systems
dc.subjectdatabase management systems
dc.subjectminimization method
dc.subjectservice time
dc.titleMethod for Time Minimization of Api Requests Service from Cyber-Physical System to Cloud Database Management System
dc.typeArticle

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Advances In Cyber-Physical Systems. – 2019. – Vol. 4, No. 2