Analysis of user demand patterns and locality for YouTube traffic

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Fältnamn	Indikatorer	Metadata
000		03074naa a2200313 4500
001		oai:DiVA.org:hkr-14766
003		SwePub
008		150924s2013 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
024	7	a urn:nbn:se:hkr:diva-147662 urn
040		a (SwePub)hkr
041		a engb eng
042		9 SwePub
072	7	a ref2 swepub-contenttype
072	7	a kon2 swepub-publicationtype
100	1	a Arvidsson, Åke,d 1957-u Ericsson AB4 aut0 (Swepub:hkr)ARVAKE
245	1 0	a Analysis of user demand patterns and locality for YouTube traffic
264	1	b IEEE Communications Society,c 2013
338		a print2 rdacarrier
520		a Video content, of which YouTube is a major part, constitutes a large share of residential Internet traffic. In this paper, we analyse the user demand patterns for YouTube in two metropolitan access networks with more than 1 million requestsover three consecutive weeks in the first network and more than 600,000 requests over four consecutive weeks in the second network.In particular we examine the existence of “local interest communities”, i.e. the extent to which users living closer to each other tend to request the same content to a higher degree, and it is found that this applies to (i) the two networks themselves; (ii) regions within these networks (iii) households with regions and (iv) terminals within households. We also find that different types of access devices (PCs and handhelds) tend to form similar interest communities.It is also found that repeats are (i) “self-generating” in the sense that the more times a clip has been played, the higher the probability of playing it again, (ii) “long-lasting” in the sense that repeats can occur even after several days and (iii) “semi regular”in the sense that replays have a noticeable tendency tooccur with relatively constant intervals.The implications of these findings are that the benefits from large groups of users in terms of caching gain may be exaggerated, since users are different depending on where they live and what equipment they use, and that high gains can be achieved in relatively small groups or even for individual users thanks totheir relatively predictable behaviour.
650	7	a ENGINEERING AND TECHNOLOGYx Electrical Engineering, Electronic Engineering, Information Engineeringx Computer Systems0 (SwePub)202062 hsv//eng
650	7	a TEKNIK OCH TEKNOLOGIERx Elektroteknik och elektronikx Datorsystem0 (SwePub)202062 hsv//swe
650	7	a TEKNIK OCH TEKNOLOGIERx Elektroteknik och elektronik0 (SwePub)2022 hsv//swe
650	7	a ENGINEERING AND TECHNOLOGYx Electrical Engineering, Electronic Engineering, Information Engineering0 (SwePub)2022 hsv//eng
700	1	a Du, Manxingu Acreo4 aut
700	1	a Aurelius, Andreasu Acreo4 aut
700	1	a Kihl, Mariau Lunds universitet4 aut
710	2	a Ericsson ABb Acreo4 org
773	0	t 25th International Teletraffic Congressd : IEEE Communications Societyz 9781479907991
856	4 8	u http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-14766x lärosäteslänky Till lärosätets (hkr) databas

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