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    SLA non-compliance detection and prevention in batch jobs


    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

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    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:
    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

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