Execution plans for serverless computing in information centric networking
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Author (Corporation)
Publication date
2019
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Type
04B - Conference paper
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Parent work
ENCP´19. Proceedings of the 1st ACM CoNEXT Workshop on Emerging in-Network Computing Paradigms
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Volume
Issue / Number
Pages / Duration
34-40
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Publisher / Publishing institution
ACM
Place of publication / Event location
New York
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Abstract
Information Centric Networking (ICN) is a modern networking concept which enables users to address named data directly by their name, without knowing the location where the data is stored. Since requesting static data is only a special case of requesting processed data, Named Function Networking (NFN) is a generalization of ICN by providing the possibility to define how data should be processed before they are delivered. Thereby, the network decides, where to process the data. The decision where to process data is crucial for the performance and the load on the network, especially when NFN is used within a data center. In this paper we discuss how NFN forwarding decisions can be improved and how to plan an execution of a computation in a name-based network to improve the execution performance. A plan is a list of instruction how and where to execute a computation. To create a plan, the network finds the best way to execute a computation regarding to a predefined metric. Furthermore, we present an extension for reusing plans and creating templates.
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Subject (DDC)
Event
1st ACM CoNEXT Workshop on Emerging in-Network Computing Paradigms (ENCP´19)
Exhibition start date
Exhibition end date
Conference start date
09.12.2019
Conference end date
09.12.2019
Date of the last check
ISBN
978-1-4503-7000-4
ISSN
Language
English
Created during FHNW affiliation
No
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Closed
License
Citation
Scherb, C., Marxer, C., & Tschudin, C. (2019). Execution plans for serverless computing in information centric networking. ENCP´19. Proceedings of the 1st ACM CoNEXT Workshop on Emerging In-Network Computing Paradigms, 34–40. https://doi.org/10.1145/3359993.3366765