Building a cognitive platform for the managed IT services lifecycle

Kloeckner, Kristof; Adam, Catherine; Anerousis, Nikos; Ayachitula, Naga; Bulut, Muhammed Fatih; Dasgupta, Gargi; Deng, Yu; Diao, Yixin; Fuller, N.; Gopisetty, Sandeep; Hernández, Mauricio A.; Hwang, Jinho; Iannucci, P.; Kalia, Anup K.; Lanfranchi, Giovanni; Lányi, Dávid; Ludwig, Heiko; Mahamuni, A.; Mahindru, Ruchi; Meng, Fan Jing; Nezhad, Hamid R. Motahari; Murthy, K. Sreenivasa; Nakamura, Taiga; Paradkar, Amit; Perpetua, D.; Pfitzmann, Birgit; Rosu, Daniela; Shwartz, Larisa; Su, Zhuo; Surendra, Maheswaran; Shu, Tao; Völzer, Hagen; Vuković, Maja; Wiesmann, D.; Woźniak, Stanisław; Wright, Gareth; Xiao, Jin; Zeng, Saixing

doi:10.1147/jrd.2017.2770642

Cited by 6 publications

(1 citation statement)

References 13 publications

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“…Network of Excellence S-Cube, EU describes the knowledge model and quality reference model for service internet (Metzger and Pohl, 2009), and transfers the technical achievements of all aspects of the internet to more than 400 enterprises through the European technology platform. IBM has described the service computing research framework, service science, management and engineering systems in terms of intelligence and cognitive services (Endrei et al, 2004;Kloeckner et al, 2018), and some of the technical methods have been integrated into IBM cloud computing, business management and other products. (2) Service system construction and optimization: It mainly studies the methodology based on traditional software engineering methods, model-driven service methodology, service methodology based on domain analysis and business objectives/semantic-driven service methodology.…”

Section: Research Statusmentioning

confidence: 99%

The study on the architecture of crowd system supporting platform

Huang

Jia

Fan

et al. 2020

IJCS

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Purpose The purpose of this paper is to better understand and study the architecture and system characteristics of the underlying support platform for crowd system, by recognizing the characteristics of service internet is similar to the coordination characteristics between the massive units in the underlying platform of crowd system and studying the form, nature and guidelines of the service internet. Design/methodology/approach This paper points out the connection between the underlying support platform of crowd system and service internet, describes the framework and ideas for researching service internet and then proposes key technologies and solutions for service internet architecture and system characteristics. Findings The research unit in the underlying support platform of crowd system can be regarded as a service unit. Therefore, the platform can also be regarded as service internet to some extent. The ideas and technical approaches for the study of service internet’s form, criteria and characteristics are also provided. Originality/value According to this paper, relevant staff can be guided to better build the underlying support platform of crowd system. And it can provide a highly robust and sustainable platform for research studies of crowd science and engineering in the future.

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Section: Research Statusmentioning

confidence: 99%