Experimental platform for telecommunication resource management

Cselényi, István; Szabó, Rita; Szabó, Ildikó; Latour-Henner, A.; Björkman, Nils

doi:10.1016/s0140-3664(98)00227-8

Cited by 5 publications

(2 citation statements)

References 22 publications

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“…These characteristics are reflected in the design of software systems. Software systems in telecommunications have to cope with the universe of telecommunications protocols, numerous hardware platforms, and network architectures (Cselényi et al, 1998). The characteristics of telecommunications software systems include high software cost, concurrency, distributivity, reliability, diversity and complexity (Patel, 2002).…”

Section: Business Environment In Telecommunications Industrymentioning

confidence: 99%

Knowledge management in OSS—an enterprise information system for the telecommunications industry

et al. 2006

Syst. Res.

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Knowledge management in Enterprise Information Systems (EIS) has become one of the hottest research topics in the last few years. Operations Support Systems (OSS) is one kind of EIS, which is becoming increasingly popular in the telecommunications industry. However, the academic research on knowledge management in OSS is sparse. In this paper, a knowledge management system for OSS is proposed in the framework of systems theory. Knowledge, knowledge management, organization and information technology are the four main interactive elements in the knowledge management system. The paper proposes that each subsystem of the OSS is to be equipped with knowledge management capacity, and the knowledge management of the OSS is to be realized through its subsystems. * Customer care: provide an interface to the customers for all issues related to customer order, sales, billing, and problem handling. * Multi-service provision: activate instances of service for particular customers.

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Section: Business Environment In Telecommunications Industrymentioning

confidence: 99%

Knowledge management in OSS—an enterprise information system for the telecommunications industry

et al. 2006

Syst. Res.

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“…These characteristics are reflected in the design of software systems. Software systems in telecommunications have to cope with a great variety of telecommunication protocols, and numerous hardware platforms and network architectures (Cselényi et al , 1998). Other characteristics of such systems are their high cost, concurrency, high reliability requirements, diversity and complexity (Patel, 2002; Choi et al , 2007; Ifinedo & Nahar, 2007).…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence applications in the telecommunications industry

Qi¹,

et al. 2007

Expert Systems

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Artificial intelligence (AI) has been applied to the telecommunications industry for more than a decade. The purpose of this paper is to examine the application of AI in the telecommunications industry sector. Our research finds that AI's first main application in telecommunications is in the network management area. Expert systems and machine learning are the two AI techniques that have been widely used in telecommunications, while machine learning and distributed artificial intelligence are the two AI techniques which are most promising for the future. The research also finds that different AI techniques have their unique applications in the telecommunications industry.

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