Slide 127
Slide 127 text
研究概要: Scaling Telemetry Workloads in Cloud Applications
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2. ςϨϝτϦʔϫʔΫϩʔυͷ૿େ
3. ςϨϝτϦʔϫʔΫϩʔυεέʔϦϯά
1. ܭଌɿܭଌॲཧΦʔόʔϔουͷ૿େ
2. ετϨʔδɿऔΓࠐΈσʔλྔͷ૿େͱظอଘ
3. ϚΠχϯάɿނোಛఆͷਫ਼ɾ࣮ߦޮͷԼ
1.
໋ͳωοτϫʔΫ௨৴͕૿େ͢ΔͱɺैདྷͷܭଌॲཧͰɺܭଌݩͷOS
Χʔωϧ͔Βͷసૹॲཧίετ͕ߴ͍ɻ
ϝτϦΫεͷ૿େʹରͯ͠ɺऔΓࠐΈॲཧޮͷ্ͱ̍Ҏ্ͷ
ظอଘΛཱ྆͢Δ͜ͱ͕͍͠ɻ
ϝτϦΫεͷ૿େʹରͯ͠ɺطଘͷಛݮΛద༻ͨ͠ͱͯ͠ɺγες
ϜશମͷোΛଊ͑ΒΕͣɺِཅੑɾِӄੑ͕૿Ճ͢Δɻ
ܭଌॲཧͷޮԽ [1] Y. Tsubouchi, M. Furukawa, R. Matsumoto, Low Overhead
TCP/UDP Socket-based Tracing for Discovering Network
Services Dependencies, Journal of Information Processing
(JIP), Vol.30, pp.260-268, March 2022.
[2] ௶༎थ, ࡔேਓ, ᖛా݈, দխ, খྛོߒ, Ѩ෦ത, দຊ
྄հ, HeteroTSDB: ҟछࢄKVSؒͷࣗಈ֊ԽʹΑΔߴੑೳͳ
࣌ܥྻσʔλϕʔε, ใॲཧֶձจࢽ, Vol.62, No.3, pp.818-
828, 20213݄.
[3] Y. Tsubouchi and H. Tsuruta, MetricSifter: Feature Reduction
of Multivariate Time Series Data for Ef
fi
cient Fault Localization
in Cloud Applications, IEEE Access, Vol. 12, pp. 37398-37417,
March 2024.
2. औΓࠐΈॲཧͱظอଘͷޮͷ্
3. ނোಛఆͷલॲཧͰোʹؔ࿈͠ͳ͍มྔͷݮ
OSΧʔωϧͰTCP/UDP௨৴ΠϕϯτΛूଋ͢Δ͜ͱʹΑΔసૹॲཧޮͷ্
ҟछKVSΛ֊Խ͠ɺΠϯσοΫεࢀরޮͱ҆ՁͳετϨʔδͷ֨ೲΛ࣮ݱɻ
োൃੜ࣌ʹ֤࣌ܥྻͷมԽ͕࣌ؒूத͢Δ͜ͱΛߟྀͨ͠ಛݮʹΑΓɺ
ނোಛఆਫ਼ͱ࣌ؒΛվળɻ
֤ͷϫʔΫϩʔυ૿େ࣌ͷ՝ղܾ
ςϨϝτϦʔϫʔΫϩʔυ૿େͷ՝
ޮతʹεέʔϧՄೳͳςϨϝτϦʔγ
εςϜͷ࣮ݱʹ͚ͯ
ΞϓϦέʔγϣϯ͕ෳࡶԽ͓ͯ͠ΓɺςϨϝτϦʔʹΑΔӡ༻
ཧ͕ඞਢͰ͋Δɻ
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ςϨϝτϦʔγεςϜͰɺܭଌɾετϨʔδɾϚΠχϯάͷ֤
ͰϫʔΫϩʔυ͕૿େ͍ͯ͠Δɻ
ܭࢉػࢿݯͷফඅ૿େͳͲͷʹରͯ͠ޮΑ͘εέʔϧͤ͞Δ
͜ͱΛతͱ͢Δɻͨͩ͠ɺӡ༻ෳࡶੑΛߟྀ͢Δ͜ͱɻ
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