わたしの研究開発紹介 - 技術者から研究者へ - / Introduction to my research

1. なぜ技術者から研究者へ転向したのか
2. 事業での実践を研究へ昇華した事例 (前職)
3. 今後の研究開発の構想 (さくらインターネット)

Transcript

1. ͘͞ΒΠϯλʔωοτ
   גࣜձࣾ
   (C) Copyright 1996-2019 SAKURA Internet Inc
   ͘͞ΒΠϯλʔωοτ
   ݚڀॴ
   Θͨ͠ͷݚڀ։ൃ঺հ
   - ٕज़ऀ͔Βݚڀऀ΁ -
   2019/04/10 ݚڀһ ௶಺ ༎थ
   @yuuk1t / id:y_uuki
   

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2. 2
   ࣗݾ঺հ
   ௶಺ ༎थ / Ώ͏͏͖ https://yuuk.io/
   େࡕେֶ جૅ޻ֶ෦ ৘ใՊֶՊ
   େࡕେֶ େֶӃ৘ใՊֶݚڀՊ
   ɹ৘ใωοτϫʔΫֶઐ߈ ത࢜લظ՝ఔ
   ܦྺ
   גࣜձࣾ͸ͯͳ
   WebΦϖϨʔγϣϯΤϯδχΞɾSRE
   ͘͞ΒΠϯλʔωοτגࣜձࣾ
   ͘͞ΒΠϯλʔωοτݚڀॴ ݚڀһ
   ฒྻॲཧ
   TCP/IPελοΫ
   WebαʔϏεͷ
   ։ൃɾӡ༻
   WebɾΠϯλʔωοτ
   ج൫ٕज़ݚڀ
   5.5೥
   5೥
   ݱࡏ
   

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3. 3
   1. ͳٕͥज़ऀ͔Βݚڀऀ΁స޲ͨ͠ͷ͔
   2. ࣄۀͰͷ࣮ફΛݚڀ΁ঢ՚ͨ͠ࣄྫ (લ৬)
   3. ࠓޙͷݚڀ։ൃͷߏ૝ (͘͞ΒΠϯλʔωοτ)
   ͓఻͍͑ͨ͜͠ͱ
   ͜ΕΒͷҰ߲໨͝ͱʹ࣭ٙͷ࣌ؒΛ͍͍ͨͩͯ
   ٞ࿦ϕʔεͰ͓࿩ΛਐΊ͍͚ͤͯͨͩ͞Ε͹ͱࢥ͍·͢
   

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4. 1.
   ͳٕͥज़ऀ͔Βݚڀऀ΁స޲ͨ͠ͷ͔
   

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5. 5
   ͜͜Ͱͷٕज़ऀͱ͸
   ɾΠϯλʔωοταʔϏεΛ։ൃɾӡ༻͢ΔͨΊͷٕज़Λ਎ʹ͚ͭɺ
   ໰୊Λղܾ͢Δਓ
   ɾ։ൃɾӡ༻ٕज़ͷதͰ΋ɺOSS΍Ϋϥ΢υίϯϐϡʔςΟϯάΛओ
   ʹར༻͍ͯ͠Δ
   ɾWeb্Ͱٕज़ʹؔ͢Δ৘ใΛΦʔϓϯʹڞ༗͠ɺڞ༗͞Εͨ಺༰Λ
   ࣗ෼ͨͪͷϓϩμΫτʹ൓ө͢ΔྲྀΕ͕͋Δ
   ɾձࣾͷϓϩμΫτҎ֎ʹɺࣗ਎ͷண૝Λιϑτ΢ΣΞͰ࣮ݱ͠ɺ
   OSSͱͯ͠ެ։͍ͯ͠Δਓͨͪ΋͍Δ
   ɾ৽ͯ͘͠༗༻ͳʮ୅දతϓϩμΫτʯͱݺ͹ΕΔ΋ͷ͕ੜ·ΕΔ
   

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6. 6
   ࣗ਎ͷٕज़ʹର͢ΔϞνϕʔγϣϯ
   ɾ࡞ऀͷإ͕ݟ͑ΔΑ͏ͳ୅දతϓϩμΫτΛ࡞Γ͍ͨ
   ɾ୅දతϓϩμΫτΛ࡞ΔաఔͰɺ஥ؒͱٞ࿦͠ɺࢥߟ͠ͳ͕Βࣗ෼
   ͷண૝Λ࣮ݱ͍ͯ͘͜͠ͱࣗମָ͕͍͠
   ɾ୯ൃͷ੒ՌͰऴΘΒͣʹɺෳ਺ͷ୅දతϓϩμΫτΛҰͭྲྀΕͱ͠
   ͯ๰͍ͰɺΑΓେ͖ͳ੒Ռͱͳ͍͚ͬͯ͹ɺΑΓָ͍͠͸ͣ
   ɾ݁Ռతʹɺ୅දతϓϩμΫτΛ࡞Γଓ͚ΒΕΔঢ়ଶͱͳΓɺָ͠͞
   ΛܧଓͰ͖Δ
   

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7. 7
   ࠷ۙͷٕज़ͷைྲྀʹର͢Δҧ࿨ײ
   ɾେखΫϥ΢υࣄۀऀ͕ఏڙ͢ΔϚωʔδυαʔϏε΍ɺେ͖ͳਓؾ
   ΛތΔج൫ιϑτ΢ΣΞ͕OSSͱͯ͠ొ৔͖ͯͨ͠
   ɾ͜ΕΒΛ࢖͏͚ͩͰ໨ͷલͷ໰୊͕ղܾͯ͠͠·͍ͭͭ͋Δ
   ɾاۀͱͯ͠͸ɺ໰୊͕ղܾ͢ΔͷͰ͋Ε͹ͦΕͰҰݟΑͦ͞͏ͩ
   ͕ɺࣗ෼ͨͪͰ։ൃ͠ͳ͘ͳΓɺࣗࣾͷٕज़ͰࠩผԽͰ͖ͳ͘ͳΔ
   ɾݸਓͱͯ͠͸ɺ୅දతϓϩμΫτͷ։ൃ͢Δ໨ඪ͔Β͸ԕ͔ͬͯ͟
   ͠·͏
   ɾධՁ͕ओ؍తͳͨΊʹɺͲΜͳ৚݅Λຬͨͤ͹ɺ৽ͯ͘͠༗༻ͳ୅
   දతϓϩμΫτͱݴ͑Δͷ͔͕Θ͔Βͳ͍
   

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8. 8
   ݚڀͷੈք΁ண໨
   ɾ໨ͷલͷ໰୊͚ͩͰͳ͘ɺ਺೥ઌΛݟਾ͑ͨ໰୊ʹऔΓ૊Ή͜ͱ
   Ͱɺݸਓͱͯ͠ͷ୅දతϓϩμΫτͷ։ൃΛ࠶౓໨ࢦ͢
   ɾ࡞Γํ͕Θ͔Βͳ͍ͨΊɺ୅දతϓϩμΫτΛҰ଍ඈͼʹ͸࡞Εͳ
   ͍ɻҰาҰาਐΉͨΊͷʮ٬؍తج४ʯΛઃఆ͢Δ
   ɾֶज़ݚڀͷੈքʹ͸ɺ͔͍͍ͬ͜ͱࢥ͑Δ٬؍తج४ͱͯ͠ɺࠪಡ
   ΍৹ࠪΛલఏͱͨ͠ձٞɺ࿦จࢽɺത࢜߸ͳͲ͕͋Δ
   ɾ͞Βʹɺֶज़࿦จࣗମʹ΋৽نੑɾ༗༻ੑͳͲͷ٬؍తج४͕͋Δ
   ɾ։ൃͨ͠ιϑτ΢ΣΞΛ΋ͬͯ٬؍తج४ʹ௅ઓ͠ϑΟʔυόοΫ
   Λಘͯɺ୅දతϓϩμΫτ΁޲͔͍ɺࣗ෼Λָ͍͠ঢ়ଶʹஔ͘
   

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9. 9
   ݚڀ։ൃ࣮੷1
   1.௶಺༎थ, ࣗવͷ͝ͱ͘ෳࡶԽͨ͠΢ΣϒγεςϜͷࣗ཯తӡ༻ʹ޲͚ͯ, ਓ޻஌ೳֶձ ߹ಉݚڀձ ୈ3ճ΢Σϒ
   αΠΤϯεݚڀձ(ট଴ߨԋ), 2017೥11݄24೔
   2.௶಺༎थ, ߴ౓ʹൃୡͨ͠γεςϜͷҟৗ͸ਆͷౖΓͱݟ෼͚͕͔ͭͳ͍, IPSJ-ONE 2017, 2017೥03݄18೔
   3.௶಺༎थ, αʔόϞχλϦϯά޲͚࣌ܥྻσʔλϕʔεͷ୳ڀ, ୈ9ճΠϯλʔωοτͱӡ༻ٕज़γϯϙδ΢Ϝ
   (IOTS2016)(ট଴ߨԋ), 2016೥12݄01೔
   ɾࠪಡ෇͖࿦จ(ࠃ಺)
   ɾߨԋ(ࠃ಺)
   1.௶಺༎थ, ࿬ࡔேਓ, ᖛా݈, দ໦խ޾, Ѩ෦ത, দຊ྄հ, “HeteroTSDB: ҟछࠞ߹ΩʔόϦϡʔετΞΛ༻͍ͨࣗಈ
   ֊૚ԽͷͨΊͷ࣌ܥྻσʔλϕʔεΞʔΩςΫνϟ”, Πϯλʔωοτͱӡ༻ٕज़γϯϙδ΢Ϝ࿦จू, 2018, 7-15
   (2018-11-29), 2018೥12݄.
   ɾࠃࡍձٞ࿦จ
   1.Yuuki Tsubouchi, Asato Wakisaka, Ken Hamada, Masayuki Matsuki, Hiroshi Abe, Ryosuke Matsumoto, “HeteroTSDB:
   An Extensible Time Series Database for Automatically Tiering on Heterogeneous Key-Value
   Stores”, Proceedings of The 43rd Annual International Computers, Software & Applications Conference (COMPSAC),
   July 2019. (to apper)
   

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10. 10
    ݚڀ։ൃ࣮੷2
    ɾॻ੶ɾࡶࢽ
    1.Ҫ্େี,പ୩େี,ਿࢁ޿௨,ాத৻࢘,௶಺༎थ,দ໦խ޾, Mackerel αʔό؂ࢹʦ࣮ફʧೖ໳, ٕज़ධ࿦ࣾ, 2017೥8
    ݄26೔
    2.௶಺༎थ, MackerelͰ͸͡ΊΔαʔό؅ཧ ୈ17ճ ϩʔϧฤ੒ͷߟ͑ํ, Software Design 2016೥7݄߸, ٕज़ධ࿦ࣾ,
    2016೥6݄18೔
    3.௶಺༎थ, MackerelͰ͸͡ΊΔαʔό؅ཧ ୈ13ճ MackerelͱServerspecΛ૊Έ߹ΘͤͨΠϯϑϥςετ, Software
    Design 2016೥3݄߸, ٕज़ධ࿦ࣾ, 2016೥2݄18೔
    4.௶಺༎थ, MackerelͰ͸͡ΊΔαʔό؅ཧ ୈ9ճ MackerelͷΞʔΩςΫνϟΛ஌Δ, Software Design 2015೥11݄߸,
    ٕज़ධ࿦ࣾ, 2015೥10݄17೔
    5.௶಺༎थ, Perl Hackers Hub ୈ34ճ DockerʹΑΔPerlͷWebΞϓϦέʔγϣϯ։ൃ, WEB+DB PRESS Vol.88, ٕज़
    ධ࿦ࣾ, 2015೥8݄24೔
    6.௶಺༎थ, MackerelͰ͸͡ΊΔαʔό؅ཧ ୈ6ճ Mackerelपลͷӡ༻πʔϧͱAWS࿈ܞϊ΢ϋ΢, Software Design
    2015೥8݄߸, ٕज़ධ࿦ࣾ, 2015೥7݄18೔
    7.௶಺༎थ, MackerelͰ͸͡ΊΔαʔό؅ཧ ୈ3ճ ӡ༻͠ͳ͕ΒҭͯΔαʔό؂ࢹͷϧʔϧ, Software Design 2015೥5
    ݄߸, ٕज़ධ࿦ࣾ, 2015೥4݄18೔
    

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11. 11
    ത࢜՝ఔ΁ͷؔ৺
    ɾτοϓΧϯϑΝϨϯε(COMPSAC)ʹࠪಡΛ௨ͤͨ͜ͱ΋͋Γɺ୅
    දతϓϩμΫτΛ࡞Εͨ͜ͱΛ٬؍తʹࣔ͢͜ͱ͕Ͱ͖ͭͭ͋Δ
    ɾ͔͠͠ɺ࣍ͷண૝͔Β୅දతϓϩμΫτΛ࡞Εͨͱͯ͠ɺҰͭͷε
    τʔϦʔʹ݁߹͢Δʹ͸ɺͦΕ·Ͱͱ͸ҟͳΔೳྗ͕ඞཁʹࢥ͑Δ
    ɾෳ਺ͷݚڀΛ౷߹͠ɺҰͭʹ·ͱΊΔͱ͍͏ത࢜࿦จͷϑϨʔϜ
    ϫʔΫΛҎͬͯɺετʔϦʔʹ·ͱΊΔೳྗΛ਎ʹண͚ΒΕͳ͍͔
    ͱ͍͏ظ଴Λ΋͍ͬͯΔ
    

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12. 2.
    ٕज़ऀͱͯ͠ͷ੒ՌΛ·ͱΊͨݚڀ
    

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13. 13
    ٕज़ऀͱͯ͠ͷ੒Ռ
    ɾαʔό؂ࢹαʔϏεΛ։ൃɾӡ༻͍ͯͨ͠
    ɾαʔϏεར༻ऀ͔Βͷɺ؂ࢹର৅ͷখ͞ͳมԽΛݟಀ͞ͳ͍ͨΊʹɺ
    ؂ࢹ݁Ռͷ஝ੵͰ͋Δ࣌ܥྻσʔλͷߴղ૾౓Խɺ௕ظอଘԽ͢Δཁ
    ๬͕͋ͬͨ
    ɾઃܭͱ࣮૷ͷҰ෦ɺϦϦʔε·ͰͷϓϩδΣΫτ؅ཧΛ຿Ίͨ
    ɾ୅දతϓϩμΫτͱͯ͠ঢ՚͢ΔͨΊʹֶज़࿦จͱ͍͏٬؍తج४΁
    ௅ઓ
    ɾIOTS2018 ࠾࿥
    ɾIEEE COMPSAC 2019 ϝΠϯγϯϙδ΢Ϝ (short paper) ࠾࿥
    

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14. HeteroTSDB: An Extensible
    Time Series Database for Automatically Tiering
    on Heterogeneous Key-Value Storesa
    HeteroTSDB: ҟछࠞ߹ΩʔόϦϡʔετΞ
    Λ༻͍ͨࣗಈ֊૚ԽͷͨΊͷ
    ࣌ܥྻσʔλϕʔεΞʔΩςΫνϟ
    

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15. 15
    ຊݚڀͷഎܠͷ֓؍
    ࣾձͷഎܠ ΠϯλʔωοταʔϏεͷ৴པੑΛৗʹܭଌ͢Δͷ͕౰ͨΓલʹ
    ࣾձͷ
    ཁٻᶃ
    ࣌ܥྻσʔλΛߴղ૾౓ʹऔಘ͠
    ௕ظอଘ͍ͨ͠
    ࣾձͷ
    ཁٻᶄ
    ࣌ܥྻσʔλΛάϥϑҎ֎ͷ
    ෳ਺ͷҟͳΔ༻్Ͱࢀর͍ͨ͠
    طଘͷղܾ
    • ࣌ܥྻσʔλͷѹॖ (ࠩ෼ූ߸Խ)
    • ϝϞϦʹॻ͖ࠐΈɺσΟεΫ΁·ͱ
    ΊҠಈͤͯ͞ॻ͖ࠐΈޮ཰޲্
    ಺෦ߏ଄͕ີ݁߹ͳͨΊɺ
    σʔλߏ଄Λ௥Ճ͢Δ͜ͱ͕೉͍͠
    ߴղ૾౓ => I/Oճ਺͕େ͖͍
    ௕ظอଘ => σΟεΫ࢖༻͕େ͖͍
    ༻్͝ͱʹσʔλࢀরύλʔϯ͕ҟͳΔͨ
    ҟͳΔσʔλߏ଄͕ඞཁ
    ੑೳ
    ՝୊
    ֦ு՝୊
    ղܾ͞Ε͍ͯͳ͍՝୊
    

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16. 16
    ຊݚڀͷ໨తͱఏҊͷ֓؍
    ݚڀ໨త
    ॻ͖ࠐΈޮ཰ͱσʔλอଘޮ཰Λ௿Լͤͣ͞ʹ
    σʔλߏ଄Λ֦ுՄೳͳ࣌ܥྻσʔλϕʔεͷఏҊ
    ֦ு՝୊ͷղܾ
    1ͭͷ༻్ʹ͖ͭɺ1ͭͷDBMSΛ௥Ճ
    σʔλߏ଄Λ௥Ճ͠΍͍͢Α͏ʹ
    σʔλ(·ͨ͸ͦͷҰ෦)Λෳ੡ͯ͠ҟͳ
    ΔDBMSʹॻ͖ࠐΊΔΑ͏ʹૄ݁߹Խ
    ੑೳ՝୊ͷղܾ
    ҟछࠞ߹DBMSͷ૊Έ߹Θͤ
    (ΠϯϝϞϦDBMSͰॻ͖ࠐΈ
    ΦϯσΟεΫDBMS΁·ͱΊͯҠಈ)
    ఏҊͷৄࡉ
    • DBMSؒͷҰ؏ੑΛอͭͨΊͷɹ
    ႈ౳ੑΛ΋ͭσʔλߏ଄
    • ࣌ܥྻσʔλͷҠಈख๏
    • σʔλߏ଄ͷ௥Ճख๏
    

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17. ͔͜͜ΒΑΓৄࡉʹઆ໌
    

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18. ࣌ܥྻσʔλϕʔεͷઌߦख๏
    18
    0QFO54%# (PSJMMB *OqVY%#
    ॻ͖ࠐΈޮ཰ ϝϞϦόοϑΝ ΠϯϝϞϦ ϝϞϦόοϑΝ
    σʔλอଘޮ཰ ແѹॖ ѹॖ ѹॖ
    ૄ݁߹ੑ ີ݁߹
    ॻ͖ࠐΈʹ͍ͭͯ
    
    ີ݁߹
    ີ݁߹
    

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19. ఏҊγεςϜͷॲཧϑϩʔ
    19
    Message
    Broker
    (1) write
    Client
    Metric
    Writer
    Metric
    Reader
    In-Memory
    DBMS
    On—Disk
    DBMS
    (2) subscribe and write
    (3) migration
    (i) query
    (ii)
    read from each dbms
    (iii)
    merge datapoints
    (ii)
    

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20. 20
    0
    1
    2
    3
    4
    5
    0 20 40 60 80 100 120
    datapoint writes / min (mega)
    minutes
    In-Memory KVS
    On-Disk KVS
    ΠϯϝϞϦKVS΁ͷ෼ؒॻ͖ࠐΈճ਺͸
    ໿4MͰҰఆ
    ΦϯσΟεΫKVS΁෼ؒॻ͖ࠐΈճ਺͸
    70k͔Β170kͷؒΛਪҠ
    ΦϯσΟεΫKVS΁ͷ
    ෼ؒॻ͖ࠐΈճ਺Λ
    ໿1/20ʹ࡟ݮͨ͜͠ͱ͕Θ͔Δ
    ॻ͖ࠐΈεϧʔϓοτͷ࣌ؒมԽ
    

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21. 21
    0
    10
    20
    30
    40
    50
    60
    70
    80
    90
    100
    0 20 40 60 80 100 120
    0
    2
    4
    6
    8
    10
    12
    14
    16
    CPU usage (%)
    Free memory size (GB)
    minutes
    master CPU usage (%)
    slave1 CPU usage (%)
    slave2 CPU usage (%)
    Free memory size (GB)
    50෼Λ௒͑ͨͱ͜ΖͰ
    ۭ͖ϝϞϦ࢖༻ྔ͕10.5GBͰҰఆʹͳͬ
    ͍ͯΔͨΊσʔλҠಈͰ͖͍ͯΔͱ͍͑Δ
    CPUར༻཰ͱϝϞϦ࢖༻ྔ
    

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22. αʔό؂ࢹαʔϏεͷ࣮؀ڥ΁ͷద༻
    • 2017೥7݄͔Β2018೥8݄·Ͱͷ1೥ؒͷՔಇ࣮੷
    • ಉظؒͷো֐݅਺2݅ɺނোճ਺2݅
    • ো֐1: ಛఆͷΠϯϝϞϦKVSͷϊʔυʹॻ͖ࠐΈෛՙ͕ूத͠ɺϝϞ
    Ϧ্ݶʹୡ͠ɺOSʹڧ੍ఀࢭ͞Εɺσʔλফࣦൃੜ
    • ϝοηʔδϒϩʔΧʔ্ͷσʔλΛ࠶ॲཧ͠σʔλ෮چ
    • ো֐2: ಉҰͷϝτϦοΫ໊ͱλΠϜελϯϓΛ΋ͭσʔλ఺͕୹࣌ؒ
    ʹେྔʹॻ͖ࠐ·ΕɺΠϯϝϞϦKVSͷॻ͖ࠐΈαΠζ্ݶʹୡͨ͠
    • ΠϯϝϞϦKVSʹॻ͖ࠐΉલʹॏෳΛഉআ͢Δ͜ͱͰղܾ
    22
    

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23. Mackerelͷ࣮؀ڥ΁ͷద༻
    • ނোʹ͍ͭͯ͸ɺ͍ͣΕ΋ΠϯϝϞϦKVSͷϊʔυ͕ఀࢭ͠ɺ
    ౰֘ϊʔυ͕Ϋϥελ͔Β֎ΕΔ·ͰͷؒʹΤϥʔ͕ൃੜͨ͠
    • Lambdaؔ਺࣮ߦͷࣗಈ࠶ࢼߦʹΑΓࣗಈͰσʔλ෮چ
    • Ұ෦ͷϝτϦοΫͷॻ͖ࠐΈ͕਺෼஗Ԇ͢ΔʹͱͲ·ͬͨ
    23
    

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24. ·ͱΊ
    • ੑೳͱ֦ுੑΛཱ྆͢Δ࣌ܥྻσʔλϕʔεΞʔΩςΫνϟͷ
    ఏҊ
    • AWSͷϚωʔδυαʔϏεʹΑΓҟछࠞ߹σʔλετΞΛલఏ
    ͱͨ͠ΞʔΩςΫνϟͷߴ͍࣮ݱੑ
    • Mackerelͷ࣌ܥྻσʔλϕʔεͱͯ͠1೥ͷՔಇ࣮੷
    24
    

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25. 25
    ຊݚڀͷ՝୊
    ɾධՁͷ؍఺
    ɾଞͷख๏ͱൺֱͨ͠ධՁ݁Ռ͕ͳ͍͜ͱ
    ɾ֦ுੑͷධՁ݁Ռ͕ͳ͍͜ͱ
    ɾؔ࿈ݚڀͷ໢ཏ
    ɾ࿦จͱͯ͠ɺఏҊख๏ͷཱͪҐஔΛࣔͨ͢Ίͷ࠷௿ݶͷؔ࿈ݚڀͷ
    Έͱͳ͍ͬͯΔ͜ͱ
    

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26. 3.
    ࠓޙͷݚڀ։ൃߏ૝
    

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27. 27
    ݚڀ։ൃߏ૝ͷ֓؍
    ɾ͘͞ΒΠϯλʔωοτݚڀॴͷϏδϣϯͰ͋Δʮ௒ݸମܕσʔληϯ
    λʔʯʹΑΓɺΫϥ΢υͷܭࢉػೳྗ͕͔͋ͨ΋ਓʑͷ਎ۙʹଘࡏ͢
    Δ͔ͷΑ͏ͳίϯϐϡʔςΟϯάΛ໨ࢦ͢
    ɾࣗ෼ͷಘҙ෼໺ͱབྷΊͯςʔϚͷେ࿮ΛߜΓࠐΜͩ
    খن໛σʔληϯλʔͱΫϥ΢
    υΛ༗ػతʹ݁߹͢ΔͨΊʹ
    σʔλͷҰ؏ੑΛอͪͳ͕Βɺ
    ͍͔ʹޮ཰Α͘ಡΈॻ͖͢Δ͔
    খن໛σʔληϯλʔͱΫϥ΢
    υ͕݁߹ͨ͠ঢ়ଶʹ͓͍ͯ
    γεςϜͷঢ়ଶΛ͍͔ʹܭଌ
    ͠ɺ೺Ѳ͢Δ͔
    σʔλू໿ΞϓϦέʔγϣϯ γεςϜ؍ଌ
    

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28. 28
    ςʔϚᶃ: σʔλू໿ΞϓϦέʔγϣϯͷલఏ
    ɾ௒ݸମܕσʔληϯλʔ͸ɺ֤σʔληϯ
    λʔ͕ͲͷΑ͏ʹ෼ࢄ͢Δ͔͸نఆ͍ͯ͠ͳ͍
    ɾ·ͣ͸ɺΫϥ΢υͱΤοδ(ར༻ऀͷۙ๣)Λར
    ༻ͨ͠ΤοδίϯϐϡʔςΟϯάͷܗͰ੍໿Λ
    ͔͚Δ
    ɾࣗ෼͕ಘҙͳWebΞϓϦέʔγϣϯ͕ಈ࡞͢
    Δ΋ͷͱ͢Δ
    ɾΤοδ͸ɺIaaSΛఏڙ͢Δখن໛σʔληϯ
    λʔΛ૝ఆ
    Cloud
    Edge
    Edge
    Edge
    Edge
    

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29. 29
    ɾ֤ΤοδؒͱΫϥ΢υͰɺར༻ऀ͕Ͳͷڌ఺ʹ઀ଓͯ͠΋ಉ͡σʔ
    λΛฦ͔͢ɺฦ͞ͳ͍͔
    ɾྫ͑͹ϒϩάαʔϏεͰ͋Ε͹ɺಉ͡σʔλΛฦ͢ඞཁ͕͋Δ
    ɾ஍ཧతʹॲཧ͕׬݁͢ΔαʔϏεͳΒಉ͡σʔλΛฦ͞ͳͯ͘Α͍
    ɾαʔϏε࢓༷ͷ੍໿͕খ͍͞ɺಉ͡σʔλΛฦ͢ํࣜΛબ୒
    ɾಉ͡σʔλΛฦ͢৔߹ɺҰ؏ੑͱԠ౴ੑೳͷτϨʔυΦϑ͕͋Δ
    ɾΤοδؒ͸ϨΠςϯγ͕େ͖͍ͨΊɺҰ؏ੑΛڧ͘͢ΔͱɺશΤο
    δͰσʔλ͕ಉظ͞ΕΔ·Ͱ଴ͭඞཁ͕͋ΓɺԠ౴ੑೳ͕௿Լ
    ɾҰ؏ੑΛ؇ΊΔͱΞϓϦέʔγϣϯʹݹ͍σʔλΛฦ͢Մೳੑ͋Γ
    ɾ·ͨɺ߹ܭσʔλྔ͕େ͖͘ͳΔ՝୊͕͋Δ
    ςʔϚᶃ: σʔλू໿ΞϓϦέʔγϣϯͷצॴ
    

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30. 30
    ɾҰ؏ੑͱੑೳͷτϨʔυΦϑΛɺಡΈࠐΈͱॻ͖ࠐΈͷΞΫηεൺ
    ཰ͱɺΞϓϦέʔγϣϯͷมߋՄ൱ʹԠͯ͡ɺ੍໿Λઃఆ
    ɾಡΈࠐΈओମͰ͋Ε͹ɺσʔλͷߋ৽ස౓͕গͳ͍ͨΊɺҰ؏ੑΛ
    ڧΊͯ΋ɺಉظճ਺͕খ͘͞ͳΓɺԠ౴ੑೳͷ௿ԼͷӨڹ͸૬ରత
    ʹখ͘͞ͳΔ
    ɾҰ؏ੑΛڧΊɺΞϓϦέʔγϣϯΛมߋ͠ͳ͍ͱ͍͏੍໿Λઃఆ
    ɾσʔλྔ࡟ݮͷͨΊɺΩϟογϡΛڞ༗͢ΔΑ͏ʹ͢Δ
    ɾॻ͖ࠐΈओମͰ͋Ε͹ɺಡΈऔΓओମͱٯͱͳΓɺԠ౴ੑೳͷ௿Լ
    ͷӨڹ͕େ͖͘ͳΓɺҰ؏ੑΛڧ͘͢Δͷ͸ݱ࣮తͰ͸ͳ͍
    ɾ۩ମతͳΞϓϦέʔγϣϯΛنఆɻྫ)࣌ܥྻσʔλऩूγεςϜ
    ςʔϚᶃ: ۩ମతͳςʔϚ੍໿Λઃఆ
    

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31. ௒ݸମܕσʔληϯλʔΛ໨ࢦͨ͠
    ෼ࢄڠௐΫΤϦϦβϧτΩϟογϡߏ૝
    

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32. Proxy͕Ωϟογϡͷಉظͱ
    ΫΤϦͷϑΥϫʔσΟϯά
    Small Datacenter
    DBCache
    Proxy
    32
    DBΫΤϦΩϟογϡΞʔΩςΫνϟ
    DB
    Cloud
    Small Datacenter
    DBCache
    Proxy
    App
    Web
    Read/Write
    Read/Write
    App
    Web
    Ωϟογϡڞ༗
    

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33. Ұ࣌తͳԠ౴଎౓ͷ
    ௿Լ͸ڐ༰
    DBCache
    Proxy
    33
    దԠతΫϥελ੍ޚΞʔΩςΫνϟ
    DB
    Cloud
    DBCache
    Proxy
    App
    Web
    Read/Write
    Read/Write
    App
    Web
    App
    Web
    (1) ෆௐͳΤοδΛݕ஌ DB
    Manager
    (2) ෆௐͳΤοδͷΫΤϦΛ
    ࢭΊΔΑ͏ʹ఻ୡ
    (3) όοΫάϥϯυͰΩϟογϡΛഇغ
    ͠ɺۙ๣·ͨ͸Ϋϥ΢υ͔Βಉظ
    ෆௐͳSmall Datacenter
    ʹҾ͖ͮΒΕͳ͍Α͏ʹ
    Small Datacenter
    Small Datacenter
    

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34. 34
    ςʔϚᶄ: γεςϜ؍ଌͷצॴ
    ɾطଘͷ؍ଌख๏͸ɺαʔόϝτϦοΫ(CPUར༻཰ͳͲ)ऩूɺϩάऩ
    ूɾղੳͳͲ
    ɾ௒ݸମܕσʔληϯλʔʹ͓͍ͯ͸ɺΫϥ΢υͱൺֱ͠ɺγεςϜ؅
    ཧऀ͸஍ཧతͳ෼ࢄΛߟྀʹ͍Εͳ͚Ε͹ͳΒͳ͍
    ɾγεςϜͷߏ੒ཁૉಉ࢜ͷؔ܎ੑ͕֮͑ΒΕͣɺӨڹൣғෆ໌ͱͳΔ
    ɾΞϓϦέʔγϣϯΛมߋ͠ͳ͍ܗͰɺTCP/UDP૚Ͱ઀ଓؔ܎Λ௥੻
    Ͱ͖ΔΑ͏ͳ࢓૊ΈΛߟ͑Δ
    ɾγεςϜ؅ཧऀ޲͚ͷՄࢹԽΑΓ͸ɺܭࢉػγεςϜ͕ࣗ཯తʹ؍ଌ
    ݁ՌʹԠͯ͡൑அͰ͖ΔΑ͏ͳख๏Λ໨ࢦ͍ͨ͠
    

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35. ௒ݸମܕσʔληϯλʔΛ໨ࢦͨ͠
    ωοτϫʔΫґଘؔ܎ͷࣗ཯త௥੻ͷߏ૝
    

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36. 4.
    ·ͱΊ
    

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37. 37
    ·ͱΊ
    ɾ୅දతϓϩμΫτΛ໨ࢦͯ͠ɺݚڀͷੈք΁དྷͨ
    ɾαʔό؂ࢹαʔϏεͷ࣌ܥྻσʔλϕʔεͷݚڀ։ൃ಺༰Λ঺հͨ͠
    ɾݚڀ։ൃߏ૝ͱͯ͠ɺσʔλू໿ΞϓϦέʔγϣϯͱɺγεςϜ؍ଌ
    ͷͦΕͧΕʹ͍ͭͯ঺հͨ͠
    

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