DocumentCode
130518
Title
MuSCa: A multiscale characterization framework for complex distributed systems
Author
Rottenberg, Sam ; Leriche, Sebastien ; Taconet, Chantal ; Lecocq, Claire ; Desprats, Thierry
Author_Institution
Telecom SudParis, Inst. Mines Telecom, Samovar, France
fYear
2014
fDate
7-10 Sept. 2014
Firstpage
1657
Lastpage
1665
Abstract
Nowadays, complex systems are distributed over several levels of Information and Communications Technology (ICT) infrastructures. They may involve very small devices such as sensors and RFID, but also powerful systems such as Cloud computers and knowledge bases, as well as intermediate devices such as smartphones and personal computers. These systems are sometimes referred to as multiscale systems. The word “multiscale” may qualify various distributed systems according to different viewpoints such as their geographic dispersion, the networks they are deployed on, or their users´ organizations. For one entity of the multiscale system, communication technologies, non-functional properties (for persistence or security purpose) or architectures to be favored may vary from one scale to another. Moreover, ad hoc architecture of such complex systems are costly and non-sustainable. In this paper, we propose a scale-awareness framework, called MuSCa. This framework includes a characterization process based on the concepts of viewpoints, dimensions and scales. These concepts constitute the core of a dedicated metamodel. The proposed framework allows multiscale software designers to share a taxonomy for qualifying their own system. At system design time, the result of such a qualification is a model from which the framework produces scale-awareness artifacts. As an illustration of this model-driven approach, we show how multiscale probes are generated to provide multiscale components with an embedded scale-awareness ability.
Keywords
cloud computing; ubiquitous computing; ICT infrastructure; MuSCa; complex distributed system; information and communication technology; multiscale characterization framework; scale-awareness framework; Computational modeling; Logic gates; Measurement units; Probes; Qualifications; Runtime; Model Driven Engineering; Multiscale Distributed systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Systems (FedCSIS), 2014 Federated Conference on
Conference_Location
Warsaw
Type
conf
DOI
10.15439/2014F131
Filename
6933216
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