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Authors: Christopher Schwarz ; Hans-Peter Bauer ; Lukas Blödorn and Erwin Zinser

Affiliation: Institute of Information Management, Austria

ISBN: 978-989-758-104-5

Keyword(s): IT Service Management, Predictive Analytics, Business Analytics, Service Oriented Architecture, Service Bus, Semantic Web Technologies, Semantic Reasoning, Controlled Natural Language, Cloud Computing.

Related Ontology Subjects/Areas/Topics: Business Services Realized by IT Services ; Cloud Abstraction of Composite IT Systems ; Cloud Computing ; Cloud Computing Architecture ; Cloud Computing Enabling Technology ; Cloud Scenarios ; Communication and Software Technologies and Architectures ; e-Business ; Enterprise Information Systems ; Fundamentals ; Languages, Tools and Architectures ; Model-Driven Software Development ; Semantic Web Technologies ; Service-Oriented Architectures ; Services Science ; Software Agents and Internet Computing ; Software Engineering ; Technology Platforms ; Xaas

Abstract: While trying to maintain sustainable competitive advantage, IT service providers are challenged with tremendous service complexity and a low level of flexibility caused by the lack of transparency, constrained scalability and the missing ability to identify needed service measures proactively. For overcoming these challenges, this paper presents a well-evaluated set of identified key requirements for a feasible realization of a highly scalable cloud based architecture that supports predictive analytics in several domains of IT Service Management. This presented concept goes far beyond traditional approaches and pertinent state-of-the-art software solutions by focusing on business analyses based on knowledge creation and domain-independent knowledge sharing. The proposed approach is based on profound analyses of related work as well as modern service oriented design and business analyses paradigms. It provides semantic complexity handling, structured and multi-layered service interacti on, cloud-enabled scalability management as well as predictive business analyses based on semantic reasoning, decision-making support and pattern recognition. The derived results eventually provide solution architects with a feasible and technical independent fundament for architectural implementation decisions. It ultimately enables IT service providers to cope with modern flexibility needs and complexity challenges and therefore to continuously satisfy customers to gain competitive advantage. (More)

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Paper citation in several formats:
Schwarz, C.; Bauer, H.; Blödorn, L. and Zinser, E. (2015). Key Requirements for Predictive Analytical IT Service Management - Architectural Key Characteristics for a Cloud based Realization.In Proceedings of the 5th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-104-5, pages 297-303. DOI: 10.5220/0005490502970303

@conference{closer15,
author={Christopher Schwarz. and Hans{-}Peter Bauer. and Lukas Blödorn. and Erwin Zinser.},
title={Key Requirements for Predictive Analytical IT Service Management - Architectural Key Characteristics for a Cloud based Realization},
booktitle={Proceedings of the 5th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2015},
pages={297-303},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005490502970303},
isbn={978-989-758-104-5},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Key Requirements for Predictive Analytical IT Service Management - Architectural Key Characteristics for a Cloud based Realization
SN - 978-989-758-104-5
AU - Schwarz, C.
AU - Bauer, H.
AU - Blödorn, L.
AU - Zinser, E.
PY - 2015
SP - 297
EP - 303
DO - 10.5220/0005490502970303

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