Data-driven monitoring design of service level and resource utilization

Perng, Chang-Shing; Ma, Sheng; Lin, Shuxin; Thoenen, David

doi:10.1109/inm.2005.1440773

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…e.g., business services management and representation/monitoring of business related data is touched in [8]; business performance management using UML -which is focused on implementation is discussed in [9] and an analysis of dependency between tasks in complex manufacturing system is explained in [3].…”

Section: Survey Of Related Literaturesmentioning

confidence: 99%

A Two Steps Method For Analyzing Dependency of Business Services On IT Services Within A Service Life Cycle

Cai

2006

2006 IEEE International Conference on Web Services (ICWS'06)

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In order to meet the dynamic business environment, the alignment of business services and IT services has long been a challenge to both business and IT people. In this paper, a graph centric, two-phase analysis and design method for service system is proposed which is based on the recent evolutions in these fields like Service Oriented Architecture (SOA). The method proposed in this paper views a service system comprising of business services and IT services as a layered complex system and uses matrices to represent the interactions between different layers. The method could help decision makers to analyze the impact of service changes during service design period. This could also facilitate the design of a more flexible IT service system reacting to business changes. The aim of this paper is to seek balance among different parts of a service system, and to provide a holistic view of the system for different role players. Results from this paper could give service designers some insights on how to design an Enterprise Service Bus (ESB) in the SOA architecture of an enterprise.

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Section: Survey Of Related Literaturesmentioning

confidence: 99%

A Two Steps Method For Analyzing Dependency of Business Services On IT Services Within A Service Life Cycle

Cai

2006

2006 IEEE International Conference on Web Services (ICWS'06)

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Scoring System Utilization through Business Profiles

Iglesias

Thorburn

Parsons

et al. 2011

2011 IEEE Third International Conference on Cloud Computing Technology and Science

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Understanding system utilization is currently a difficult challenge for industry. Current monitoring tools tend to focus on monitoring critical servers and databases within a narrow technical context, and have not been designed to to manage extremely heterogeneous IT infrastructure such as desktops, laptops, and servers, where the number of devices can be in the order of tens of thousands. This is an issue for many different domains (organizations with large IT infrastructures, cloud computing providers, or software as a service providers) where an understanding of how computer hardware is being utilized is essential for understanding business cost, workload migrations and future investment requirements. Furthermore, organizations find it difficult to understand the raw metrics collected by current monitoring tools, in particular when trying to understand to what degree their systems are being utilized in the context of different business purposes. This paper presents different techniques for the extraction of meaningful resource utilization information from raw monitoring data, a utilization scoring algorithm, and then subsequently outlines a profile-based method for tracking the utilization of IT assets (systems) in large heterogeneous IT environments. We intend to determine how efficiently system resources are utilized considering their business use. We will provide to the end-user an assessment of the system utilization together with additional information to perform remedial action.

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