Adaptability of a Deployment Decision Making System

Author

Kusber, Rico ; Brgulja, Nermin ; David, Klaus

Author_Institution

Dept. of Commun. Technol. (ComTec), Univ. of Kassel, Kassel, Germany

fYear

2009

fDate

15-20 Nov. 2009

Firstpage

27

Lastpage

32

Abstract

In our living environments today, computer networks, computing devices, sensors and many other entities produce a large amount of data to be processed. This data comprise, for example, digital media content, news, computational resources like services, and much more. To be able to exploit this data, a (human or computer) user may utilize digital assistants. In this paper, we present such an assistant for deploying services and obtaining content data. We concentrate especially on how this assistant is able to adapt to changing situations, both, user-driven and in a self-adaptive manner. An experimental evaluation, based on real world digital video providers, demonstrates prerequisites, results, and potential of the various ways of adaptation within the presented approach.

Keywords

content management; decision support systems; information retrieval; data exploitation; deployment decision making system adaptability; digital assistant utilization; self-adaptive feature; user driven feature; Communications technology; Computer networks; Content based retrieval; Decision making; Distributed decision making; Humans; Information retrieval; Information technology; Internet; Sensor systems; adaptability; content retrieval; decision making; self-adaptation; service deployment;

fLanguage

English

Publisher

ieee

Conference_Titel

Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD '09. Computation World:

Conference_Location

Athens

Print_ISBN

978-1-4244-5166-1

Electronic_ISBN

978-0-7695-3862-4

Type

conf

DOI

10.1109/ComputationWorld.2009.53

Filename

5359549