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Adaptive online feedback controlled message compression
Ericsson AB, Sweden .ORCID-id: 0000-0003-2612-4135
Ericsson AB, Sweden .
Ericsson AB, Sweden .
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0001-5297-6548
2014 (Engelska)Ingår i: Proceedings - International Computer Software and Applications Conference, 2014, s. 558-567Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Communication is a vital part of computer systems today. One current problem is that computational capacity is growing faster than the bandwidth of interconnected computers. Maximising performance is a key objective for industries, both on new and existing software systems, which further extends the need for more powerful systems at the cost of additional communication. Our contribution is to let the system selectively choose the best compression algorithm from a set of available algorithms if it provides a better overall system performance. The online selection mechanism can adapt to a changing environment such as temporary network congestion or a change of message content while still selecting the optimal algorithm. Additionally, is autonomous and does not require any human intervention making it suitable for large-scale systems. We have implemented and evaluated this autonomous selection and compression mechanism in an initial trial situation as a proof of concept. The message round trip time were decreased by 7.1%, while still providing ample computational resources for other co-existing services.

Ort, förlag, år, upplaga, sidor
2014. s. 558-567
Nyckelord [en]
Adaptive compression, feedback control, message compression, performance prediction, Algorithms, Application programs, Evolutionary algorithms, Large scale systems, Social networking (online), Compression algorithms, Compression mechanism, Computational capacity, Computational resources, Interconnected computer, Computer software
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Datavetenskap (datalogi)
Identifikatorer
URN: urn:nbn:se:mdh:diva-27980DOI: 10.1109/COMPSAC.2014.79ISI: 000353962400068Scopus ID: 2-s2.0-84928647026ISBN: 978-1-4799-3574-1 (tryckt)OAI: oai:DiVA.org:mdh-27980DiVA, id: diva2:812109
Konferens
38th Annual IEEE Computer Software and Applications Conference, COMPSAC 2014, 21 July 2014 through 25 July 2014
Tillgänglig från: 2015-05-15 Skapad: 2015-05-15 Senast uppdaterad: 2018-01-11Bibliografiskt granskad

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Totalt: 68 träffar
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