Home // International Journal On Advances in Systems and Measurements, volume 11, numbers 1 and 2, 2018 // View article
Assessing the Application of the In-Memory Technology - A Comprehensive Framework
Authors:
Stephan Ulbricht
Marek Opuszko
Johannes Ruhland
Keywords: In-Memory IT-Systems; Business Value; Analytic Hierarchy Process (AHP); In-Memory Technology; In-Memory Computing;
Abstract:
After a comeback in recent years, In-memory IT systems are among the most promising solutions to solve present and future IT problems. The use of the In-memory technology promises a massive acceleration of query executions, as demanded by the industry in the face of future challenges such as big data and the internet of things. Despite the increased interest in the technology, however, there is a still hesitant spread. One reason is the lack of practical application scenarios that decision makers can apply to their business context. It has been shown that the sole acceleration of the IT-processing is not sufficient for the dissemination in the business environment. The aim of this work is to introduce a framework to support the evaluation of potential In-memory applications. This design science based framework gives practitioners the opportunity to assess the suitability of In-Memory IT-Systems based on their specific demands. The underlying decision factors have been separated based on their characteristics into value-creation dependent and independent attributes. Appropriate methods were evaluated and selected for the collection of the respective significance. The decision model is implemented using the concept of multi-criteria decision making. The framework is applied using 10 potential real-world In-memory use case scenarios. The results show that the presented approach in this work is suitable to both, assess possible use cases and determine cases with high potential.
Pages: 220 to 229
Copyright: Copyright (c) to authors, 2018. Used with permission.
Publication date: June 30, 2018
Published in: journal
ISSN: 1942-261x