By J. MARTIN SERRANO
Metadata criteria in today’s ICT zone are proliferating at unheard of degrees, whereas computerized info administration platforms acquire and strategy exponentially expanding amounts of information. With interoperability and data trade pointed out as a center problem within the area, this booklet examines the function ontology engineering can play in offering strategies to the issues of data interoperability and associated info. even as introducing simple strategies of ontology engineering, the publication discusses methodological ways to formal illustration of information and data types, hence facilitating details interoperability among heterogeneous, complicated and allotted communique structures. In doing so, the textual content advocates the benefits of utilizing ontology engineering in telecommunications structures. additionally, it deals a wealth of steering and best-practice suggestions for circumstances during which ontology engineering is utilized in cloud prone, machine networks and administration systems.
Engineering and machine technology execs (infrastructure architects, software program builders, carrier designers, infrastructure operators, engineers, etc.) are this day faced as by no means prior to with the problem of convergence in software program options and know-how. This e-book might help them reply creatively to what's certain to be a interval of fast development.
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Additional resources for Applied ontology engineering in cloud services, networks and management systems
Simple services supporting other, more complex, services). These scenarios aim to provide more pervasive services and require linked data and sharing features to enable information exchange [Sedaghat11]. Such scenarios are typified by a broad mixture of technologies and devices that generate an extensive amount of different types of information, many of which need to be shared and reused among the different management components with different mechanisms of each network. This requires the use of different data models, due to both the nature of information being managed and the physical and logical requirements of application-specific systems and beyond that with security levels to guarantee service reliability [Waller11].
2 Fig. 3 Fig. 4 Fig. 5 Fig. 6 Fig. 7 Fig. 8 Fig. 9 Fig. 10 Fig. 11 Fig. 12 Fig. 13 Fig. 14 Fig. 1 Fig. 2 Fig. 3 Fig. 4 Convergence in software and communications towards an ICT integration model ................................................ The three dimension in cloud computing ..................................... Combining autonomic computing with communication systems and technologies related .......................... Relationships between autonomic systems features and service operation requirements ..............................................
Autonomic elements are to be built to satisfy information models; hence, context should be added as an element of the information model (or at least made available to it). This will not only provide greater functionality, but also enhance the interoperability of the system. Autonomic services, as much as systems and networks become more self-managing, the nature of the services should evolve accordingly. Thus, the services should be developed based on autonomic computing principles, so that the services also become self-managing.
Applied ontology engineering in cloud services, networks and management systems by J. MARTIN SERRANO