COMPUTATIONAL LOAD DISTRIBUTION METHOD IN A PRIVATE CLOUD OF A MOBILE APPLICATION OF AN INTEGRATED ENTERPRISE INFORMATION SYSTEM

The use of cluster technology in a private cloud of a mobile application of an integrated enterprise information system requires the measures ensuring the reliable operation of its hardware component to be developed. The solution of this problem involves the use of effective mechanisms for maintaini...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of Theoretical and Applied Information Technology 2016-03, Vol.85 (2), p.155-155
Hauptverfasser: Kopytov, Vladimir Vyacheslavovich, Shulgin, Andrei Olegovich, Demurchev, Nikita Georgievich, Naumenko, Vladimir Viktorovich, Gritsenko, Andrei Vladimirovich, Fedorov, Sergei Aleksandrovich
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The use of cluster technology in a private cloud of a mobile application of an integrated enterprise information system requires the measures ensuring the reliable operation of its hardware component to be developed. The solution of this problem involves the use of effective mechanisms for maintaining high availability of a private cloud of a mobile application as well as the solutions to ensure the failover operation of server and client components. This paper describes the method of load distribution among computer network nodes in a private cloud of a mobile application integrated in a corporate information system; this proposed algorithm is based on the load prediction of the computer system, it performs the preliminary resources reservation required to perform a given task, initiated by user request. Load prediction is performed by the decomposition analysis of the history of running user tasks, which is a preliminary allocation of recurring task patterns with a certain set of parameters and with further prediction of occurrence of these problems in queue. The proposed method greatly enhances the productivity of a mobile application; it expands the set of the functions performed by the remote client by request and ensures the integration of several information systems on the basis of a single private cloud.
ISSN:1817-3195