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Authors: Alok Patel ; Abhinay Puvvala and Veerendra K. Rai

Affiliation: Tata Consultancy Services, India

ISBN: 978-989-758-298-1

Keyword(s): Batch Job Systems, Levers, SLA Compliance, Optimization, Constraints.

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 con-straints, auxiliary constraints, reach time constraints and SLA non-compliant identifier constraints. Method-ology has been tested on two sets of data- synthetic data of small size to corroborate the correctness of ap-proach and a real batch job system data of a financial institution to test the rigor of the approach.

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Paper citation in several formats:
Patel, A.; Puvvala, A. and Rai, V. (2018). SLA Non-compliance Detection and Prevention in Batch Jobs.In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-298-1, pages 397-406. DOI: 10.5220/0006673903970406

@conference{iceis18,
author={Alok Patel. and Abhinay Puvvala. and Veerendra K. Rai.},
title={SLA Non-compliance Detection and Prevention in Batch Jobs},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2018},
pages={397-406},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006673903970406},
isbn={978-989-758-298-1},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - SLA Non-compliance Detection and Prevention in Batch Jobs
SN - 978-989-758-298-1
AU - Patel, A.
AU - Puvvala, A.
AU - Rai, V.
PY - 2018
SP - 397
EP - 406
DO - 10.5220/0006673903970406

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