Authors:
Christopher Schwarz
;
Hans-Peter Bauer
;
Lukas Blödorn
and
Erwin Zinser
Affiliation:
Institute of Information Management, Austria
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 interact
ion, 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)