NOTED: a framework to optimise network traffic via the analysis of data from File Transfer Services
- 1. CERN, IT Department, Geneva (Switzerland)
- 2. Wrocław University of Science and Technology, Wroclaw (Poland)
- 3. CERN (Geneva, Switzerland), IT department (Switzerland)
Description
Network traffic optimisation is difficult as the load is by nature dynamic and seemingly unpredictable. However, the increased usage of file transfer services may help the detection of future loads and the prediction of their expected duration. The NOTED project seeks to do exactly this and to dynamically adapt network topology to deliver improved bandwidth for users of such services. This article introduces, and explains the features of, the two main components of NOTED, the Transfer Broker and the Network Intelligence component. The Transfer Broker analyses all queued and on-going FTS transfers, producing a traffic report which can be used by network controllers. Based on this report and its knowledge of the network topology and routing, the Network Intelligence (NI) component makes decisions as to when a network reconfiguration could be beneficial. Any Software Defined Network controller can then apply these decision to the network, so optimising transfer execution time and reducing operating costs.
Availability note (English)
Available from https://www.epj-conferences.org/articles/epjconf/pdf/2021/05/epjconf_chep2021_02049.pdf; https://doaj.org/article/3aa153f785df45229ba7f247a8a2bd32Additional details
Identifiers
Publishing Information
- Journal Title
- EPJ. Web of Conferences
- Journal Volume
- 251
- Journal Page Range
- vp.
- ISSN
- 2100-014X
Conference
- Title
- 25. International Conference on Computing in High Energy and Nuclear Physics
- Acronym
- CHEP 2021
- Dates
- 17-21 May 2021
- Place
- Geneva (Switzerland)
INIS
- Country of Publication
- France
- Country of Input or Organization
- France
- INIS RN
- 53090199
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- COMPUTER CODES; DATA ANALYSIS; OPERATING COST; OPTIMIZATION; TOPOLOGY
- Descriptors DEC
- COST; DATA PROCESSING; MATHEMATICS; PROCESSING