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Authors: Valentina Salapura ; Ruchi Mahindru and Richard Harper

Affiliation: IBM T.J. Watson Research Center, United States

Keyword(s): Cloud Computing, High Availability, Enterprise Class Applications, Resiliency.

Abstract: Businesses with enterprise-level workloads - such as Systems Applications and Products (SAP) workloads - require business level resiliency including high availability, clustering, or physical server appliances. To enable businesses to use enterprise workloads in a cloud, the IBM Cloud Managed Services (CMS) cloud offers many SAP enterprise-level workloads for both virtualized and non-virtualized cloud environments. Based on our experience with enabling resiliency for enterprise-level workloads like SAP and Oracle, we realize that as the end-to-end process is quite cumbersome, complex and expensive. Therefore, it would be highly beneficial for the customers and the cloud providers to have a systematic business resiliency framework in place, which would very well fit the cloud model with appropriate level of abstraction, automation, while allowing the desired cost benefits. In this paper, we introduce an end-to-end business resiliency framework and resiliency life cycle. We further int roduce an algorithm to determine the optimal resiliency pattern for enterprise applications using a diverse set of platforms in the IBM CMS cloud offering. (More)

CC BY-NC-ND 4.0

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Paper citation in several formats:
Salapura, V.; Mahindru, R. and Harper, R. (2017). Business Resiliency Framework for Enterprise Workloads in the Cloud. In Proceedings of the 7th International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-758-243-1; ISSN 2184-5042, SciTePress, pages 714-721. DOI: 10.5220/0006376707140721

@conference{closer17,
author={Valentina Salapura. and Ruchi Mahindru. and Richard Harper.},
title={Business Resiliency Framework for Enterprise Workloads in the Cloud},
booktitle={Proceedings of the 7th International Conference on Cloud Computing and Services Science - CLOSER},
year={2017},
pages={714-721},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006376707140721},
isbn={978-989-758-243-1},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Cloud Computing and Services Science - CLOSER
TI - Business Resiliency Framework for Enterprise Workloads in the Cloud
SN - 978-989-758-243-1
IS - 2184-5042
AU - Salapura, V.
AU - Mahindru, R.
AU - Harper, R.
PY - 2017
SP - 714
EP - 721
DO - 10.5220/0006376707140721
PB - SciTePress