NDLI: Service formalism and architectural abstractions for smart space applications

Content Provider	ACM Digital Library
Author	Korzun, Dmitry G.
Abstract	Despite of the elegance of smart spaces paradigm and its clear advantages, this area of development of "smart" software for Internet of Things (IoT) still has very limited systematization and formal concept notation. The discussion paper provides a clarified vision onto the smart spaces terminology. The reference case is the M3 architecture, based on which we sequentially elaborate the notions of smart space, smart environment of knowledge sharing, smart space application, its services and its architecture. We consider P2P-based service formalism, on the top of which several architectural abstractions are presented. They provide means for designing smart space applications.
Starting Page	1
Ending Page	7
Page Count	7
File Format	PDF
ISBN	9781450328890
DOI	10.1145/2687233.2687253
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-10-23
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Smart-m3 Internet of things (iot) Computing environment Software architecture Smart services Smart spaces P2p
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Service formalism and architectural abstractions for smart space applications