Affiliation:
1. LIRE Laboratory, University of Constantine 2 - Abdelhamid Mehri, Constantine, Algeria
Abstract
The business process outsourcing (BPO) remains among the most adopted strategies by organizations to cope with the harsh competition of today's market. This practice has been intensified with the advent of the Cloud computing that has attracted companies by its new way of consuming and paying for resources. Nevertheless, the exposure of business processes (BPs) to Cloud-related threats and non-compliance risks as well as the diversity of Cloud offers in terms of price and quality are ones of the biggest obstacles in BPO to the Cloud. The organizations should therefore examine different factors to determine which BP parts to outsource and to assign them the most suitable Cloud offers. This article proposes a decision-making support called DMS4BPO that helps organizations in outsourcing their BPs to the Cloud by considering security, compliance, cost and performance criteria. DMS4BPO includes on the one hand an AHP-based method for the Cloud offer selection, and on the other hand, a Business Intelligence-based method for the exploitation of the execution history.
Subject
Modeling and Simulation,General Computer Science
Reference34 articles.
1. Mining association rules between sets of items in large databases
2. Fast algorithms for mining association rules in large databases.;R.Agrawal;Proceedings of the 20th International Conference on Very Large Data Bases (VLDB),,1994
3. Bessai, K. (2014). Optimal management of resource allocation for process execution in the cloud [doctoral dissertation]. University of Paris 1.
4. A decision-making approach based on fuzzy AHP-TOPSIS methodology for selecting the appropriate cloud solution to manage big data projects
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献