Patel, Alok and Puvvala, Abhinay and Rai, Veerendra K. (2018) SLA non-compliance detection and prevention in batch jobs. In: Proceedings of the 20th International Conference on Enterprise Information Systems (ICEIS 2018). SciTePress: Science and Technology Publications, Lda, pp. 397-406. ISBN 9789897582981

Preview

Download (1MB) | Preview

Abstract

This paper reports the study done on SLA non-compliance detection and prevention in batch job systems. It sets out the task of determining optimal and the smallest set of levers to minimize SLA non-compliance at minimum impact business requirements. The methodology to address the problem consists of a four-step process that includes inputs, pre-processing, modelling & solving and post processing. This paper uses Integer Linear Programming (ILP) to achieve global optima given a set of varied constraints such as sacrosanct constraints, auxiliary constraints, reach time constraints and SLA non-compliant identifier constraints. Methodology has been tested on two sets of data- synthetic data of small size to corroborate the correctness of approach and a real batch job system data of a financial institution to test the rigor of the approach.

Item Type:	Book Section
Keywords:	Batch Job Systems; Levers; SLA Compliance; Optimization; Constraints;
Academic Unit:	Faculty of Social Sciences > School of Business Faculty of Social Sciences > Research Institutes > Innovation Value Institute, IVI
Item ID:	13423
Identification Number:	https://doi.org/10.5220/0006673903970406
Depositing User:	Abhinay Puvvala
Date Deposited:	07 Oct 2020 16:06
Publisher:	SciTePress: Science and Technology Publications, Lda
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

Repository Staff Only(login required)

Item control page

Downloads

Origin of downloads