A cloud-based solution for the performance improvement of IT support organizations

Bartolini, Claudio; Stefanelli, Cesare; Targa, Davide; Tortonesi, Mauro

doi:10.1109/noms.2012.6212014

Cited by 4 publications

(2 citation statements)

References 15 publications

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“…11(b) shows the management network topology integrated with the scatterplot/histogram view. Bartolini et al [123] introduced a decision support tool for performance and business impact analysis and assisted redesign of Information Technology (IT) support organizations, called Symian-Web. The Symian-Web visualization is a graphbased representation that maps the support groups of the IT support organization.…”

Section: B State Of the Artmentioning

confidence: 99%

A Survey on Information Visualization for Network and Service Management

Guimaraes

Freitas

Sadre

et al. 2016

IEEE Commun. Surv. Tutorials

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Network and service management encompasses a set of activities, methods, procedures, and tools whose ultimate goal is to guarantee the proper functioning of a networked system. Computational tools are essential to help network administrators in their daily tasks, and information visualization techniques are of great value in such context. In essence, information visualization techniques associated to visual analytics aim at facilitating the tasks of network administrators in the process of monitoring and maintaining the network health. This paper surveys the use of information visualization techniques as a tool to support the network and service management process. Through a Systematic Literature Review (SLR), we provide a historical overview and discuss the current state of the art in the field. We present a classification of 285 articles and papers from 1985 to 2013, according to an information visualization taxonomy as well as a network and service management taxonomy. Finally, we point out future research directions and opportunities regarding the use of information visualization in network and service management.Taking into account the example mentioned above, [15] and [17] are examples of articles/papers that match with the research goal. Thus, they are stored and cataloged, and their references are verified. In the analysis of the references of [15], for example, we found the work of Koike et al. "Visualizing cyber attacks using IP matrix" [19]. On the other hand, [16] is an example of a work that was discarded after the analysis of the abstract and keywords (i.e., the second step of filtering).Once finished the search process, a set of 374 articles and papers remained selected. These publications are from a time interval ranging from 1985 to 2013.

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Section: B State Of the Artmentioning

confidence: 99%

A Survey on Information Visualization for Network and Service Management

Guimaraes

Freitas

Sadre

et al. 2016

IEEE Commun. Surv. Tutorials

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show abstract

“…They discuss that machine learning such as clustering and classi¯cation methods represent a promising approach for analyzing human decision making criteria [6]. Bartolini et al also presented a decision support tool, Symian-Web [11]. This tool uses what-if scenario analysis to improve IT support.…”

Section: Related Workmentioning

confidence: 99%

EMITS: An Experience Management System for IT Management Support

Bozdogan

Zincir-Heywood

Zincir

2015

Int. J. Soft. Eng. Knowl. Eng.

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This research focuses on the identi¯cation of relevant experience required for solving IT (Information Technology) problems in small-to medium-sized enterprises. To achieve this, we integrated information retrieval techniques with clustering and optimization techniques to design and develop a custom-built Experience Management system for IT management support. We have built and evaluated our system on three di®erent publicly available data sets: Princeton, Parallels and GoDaddy. Results support that it is possible to provide the right mix of automation and manual activity for IT experience management while achieving a high accuracy.

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A Multi-objective Optimization Scheduling Method Based on the Improved Differential Evolution Algorithm in Cloud Computing

Zheng

Xie

et al. 2017

Cloud Computing and Security

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A cloud-based solution for the performance improvement of IT support organizations

Cited by 4 publications

References 15 publications

A Survey on Information Visualization for Network and Service Management

A Survey on Information Visualization for Network and Service Management

EMITS: An Experience Management System for IT Management Support

A Multi-objective Optimization Scheduling Method Based on the Improved Differential Evolution Algorithm in Cloud Computing

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