Forecasting network requests numbers to cloud application
Journal Title: Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì - Year 2015, Vol 814, Issue
Abstract
The article contains analysis of existing time series forecast methods. It is estimated how these methods fit to time series of network requests to a cloud application. Optimal forecasting methods have been chosen for different working modes of a cloud application. The research also contains comparison of forecast performed by standard methods and developed combined method.
Authors and Affiliations
Tamara Savchuk, Andriy Kozachuk
Keywords
Related Articles
- EP ID EP617530
- DOI -
- Views 170
- Downloads 0
Communities in the Direction of Repairing Roads
The article deals with the modeling of the repair of the roads of the territorial community in the presence of funds and depending on the state of roads. To simulate the proposed search method using the minimum spanning...
Hybrid Algorithm for Inductive Cluster Analysis Using Density Distribution Data Evaluation
In this article proposed a new clustering technique, which is based on two methods: density algorithm DBSCAN and inductive objective clustering algorithm. Experimentally proved that the combination of two these methods c...
Ranking factors online resources search engine Google
The paper describes the main factors influencing the design features of high rating resources according to the algorithms search engine Google. The analysis of known technologies and methods of evaluating online resource...
Analysis of Opportunities Development of Interactive E-books
Creating interactive educational book consists in layout text, images, interactive elements and add actions that occur due to the use of these elements. The analysis of the development tools of interactive e-books, which...
The use of content analysis for textual data sets processing
This article presents the content analysis techniques for online newspapers. The model describes the processing of information resources in content analysis and simplifies automation technology of content management. In...