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わたしの研究開発紹介 - 技術者から研究者へ - / Introduction to my r...
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Yuuki Tsubouchi (yuuk1)
April 10, 2019
Research
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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)
Yuuki Tsubouchi (yuuk1)
April 10, 2019
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Transcript
͘͞ΒΠϯλʔωοτ גࣜձࣾ (C) Copyright 1996-2019 SAKURA Internet Inc ͘͞ΒΠϯλʔωοτ ݚڀॴ
Θͨ͠ͷݚڀ։ൃհ - ٕज़ऀ͔Βݚڀऀ - 2019/04/10 ݚڀһ ௶ ༎थ @yuuk1t / id:y_uuki
2 ࣗݾհ ௶ ༎थ / Ώ͏͏͖ https://yuuk.io/ େࡕେֶ جૅֶ෦ ใՊֶՊ
େࡕେֶ େֶӃใՊֶݚڀՊ ɹใωοτϫʔΫֶઐ߈ ത࢜લظ՝ఔ ܦྺ גࣜձࣾͯͳ WebΦϖϨʔγϣϯΤϯδχΞɾSRE ͘͞ΒΠϯλʔωοτגࣜձࣾ ͘͞ΒΠϯλʔωοτݚڀॴ ݚڀһ ฒྻॲཧ TCP/IPελοΫ WebαʔϏεͷ ։ൃɾӡ༻ WebɾΠϯλʔωοτ ج൫ٕज़ݚڀ 5.5 5 ݱࡏ
3 1. ͳٕͥज़ऀ͔Βݚڀऀసͨ͠ͷ͔ 2. ࣄۀͰͷ࣮ફΛݚڀঢ՚ͨ͠ࣄྫ (લ৬) 3. ࠓޙͷݚڀ։ൃͷߏ (͘͞ΒΠϯλʔωοτ) ͓͍͑ͨ͜͠ͱ
͜ΕΒͷҰ߲͝ͱʹ࣭ٙͷ࣌ؒΛ͍͍ͨͩͯ ٞϕʔεͰ͓ΛਐΊ͍͚ͤͯͨͩ͞Εͱࢥ͍·͢
1. ͳٕͥज़ऀ͔Βݚڀऀసͨ͠ͷ͔
5 ͜͜Ͱͷٕज़ऀͱ ɾΠϯλʔωοταʔϏεΛ։ൃɾӡ༻͢ΔͨΊͷٕज़Λʹ͚ͭɺ Λղܾ͢Δਓ ɾ։ൃɾӡ༻ٕज़ͷதͰɺOSSΫϥυίϯϐϡʔςΟϯάΛओ ʹར༻͍ͯ͠Δ ɾWeb্Ͱٕज़ʹؔ͢ΔใΛΦʔϓϯʹڞ༗͠ɺڞ༗͞Εͨ༰Λ ࣗͨͪͷϓϩμΫτʹө͢ΔྲྀΕ͕͋Δ ɾձࣾͷϓϩμΫτҎ֎ʹɺࣗͷணΛιϑτΣΞͰ࣮ݱ͠ɺ OSSͱͯ͠ެ։͍ͯ͠Δਓ͍ͨͪΔ
ɾ৽ͯ͘͠༗༻ͳʮදతϓϩμΫτʯͱݺΕΔͷ͕ੜ·ΕΔ
6 ࣗͷٕज़ʹର͢ΔϞνϕʔγϣϯ ɾ࡞ऀͷإ͕ݟ͑ΔΑ͏ͳදతϓϩμΫτΛ࡞Γ͍ͨ ɾදతϓϩμΫτΛ࡞ΔաఔͰɺؒͱٞ͠ɺࢥߟ͠ͳ͕Βࣗ ͷணΛ࣮ݱ͍ͯ͘͜͠ͱࣗମָ͕͍͠ ɾ୯ൃͷՌͰऴΘΒͣʹɺෳͷදతϓϩμΫτΛҰͭྲྀΕͱ͠ ͍ͯͰɺΑΓେ͖ͳՌͱͳ͍͚ͬͯɺΑΓָ͍ͣ͠ ɾ݁ՌతʹɺදతϓϩμΫτΛ࡞Γଓ͚ΒΕΔঢ়ଶͱͳΓɺָ͠͞ ΛܧଓͰ͖Δ
7 ࠷ۙͷٕज़ͷைྲྀʹର͢Δҧײ ɾେखΫϥυࣄۀऀ͕ఏڙ͢ΔϚωʔδυαʔϏεɺେ͖ͳਓؾ ΛތΔج൫ιϑτΣΞ͕OSSͱͯ͠ొ͖ͯͨ͠ ɾ͜ΕΒΛ͏͚ͩͰͷલͷ͕ղܾͯ͠͠·͍ͭͭ͋Δ ɾاۀͱͯ͠ɺ͕ղܾ͢ΔͷͰ͋ΕͦΕͰҰݟΑͦ͞͏ͩ ͕ɺࣗͨͪͰ։ൃ͠ͳ͘ͳΓɺࣗࣾͷٕज़ͰࠩผԽͰ͖ͳ͘ͳΔ ɾݸਓͱͯ͠ɺදతϓϩμΫτͷ։ൃ͢Δඪ͔Βԕ͔ͬͯ͟ ͠·͏ ɾධՁ͕ओ؍తͳͨΊʹɺͲΜͳ݅Λຬͨͤɺ৽ͯ͘͠༗༻ͳ
දతϓϩμΫτͱݴ͑Δͷ͔͕Θ͔Βͳ͍
8 ݚڀͷੈքண ɾͷલͷ͚ͩͰͳ͘ɺઌΛݟਾ͑ͨʹऔΓΉ͜ͱ Ͱɺݸਓͱͯ͠ͷදతϓϩμΫτͷ։ൃΛ࠶ࢦ͢ ɾ࡞Γํ͕Θ͔Βͳ͍ͨΊɺදతϓϩμΫτΛҰඈͼʹ࡞Εͳ ͍ɻҰาҰาਐΉͨΊͷʮ٬؍తج४ʯΛઃఆ͢Δ ɾֶज़ݚڀͷੈքʹɺ͔͍͍ͬ͜ͱࢥ͑Δ٬؍తج४ͱͯ͠ɺࠪಡ ৹ࠪΛલఏͱͨ͠ձٞɺจࢽɺത࢜߸ͳͲ͕͋Δ ɾ͞Βʹɺֶज़จࣗମʹ৽نੑɾ༗༻ੑͳͲͷ٬؍తج४͕͋Δ ɾ։ൃͨ͠ιϑτΣΞΛͬͯ٬؍తج४ʹઓ͠ϑΟʔυόοΫ
ΛಘͯɺදతϓϩμΫτ͔͍ɺࣗΛָ͍͠ঢ়ଶʹஔ͘
9 ݚڀ։ൃ࣮1 1.௶༎थ, ࣗવͷ͝ͱ͘ෳࡶԽͨ͠ΣϒγεςϜͷࣗతӡ༻ʹ͚ͯ, ਓೳֶձ ߹ಉݚڀձ ୈ3ճΣϒ αΠΤϯεݚڀձ(টߨԋ), 201711݄24 2.௶༎थ,
ߴʹൃୡͨ͠γεςϜͷҟৗਆͷౖΓͱݟ͚͕͔ͭͳ͍, IPSJ-ONE 2017, 201703݄18 3.௶༎थ, αʔόϞχλϦϯά͚࣌ܥྻσʔλϕʔεͷ୳ڀ, ୈ9ճΠϯλʔωοτͱӡ༻ٕज़γϯϙδϜ (IOTS2016)(টߨԋ), 201612݄01 ɾࠪಡ͖จ(ࠃ) ɾߨԋ(ࠃ) 1.௶༎थ, ࡔேਓ, ᖛా݈, দխ, Ѩ෦ത, দຊ྄հ, “HeteroTSDB: ҟछࠞ߹ΩʔόϦϡʔετΞΛ༻͍ͨࣗಈ ֊ԽͷͨΊͷ࣌ܥྻσʔλϕʔεΞʔΩςΫνϟ”, Πϯλʔωοτͱӡ༻ٕज़γϯϙδϜจू, 2018, 7-15 (2018-11-29), 201812݄. ɾࠃࡍձٞจ 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)
10 ݚڀ։ൃ࣮2 ɾॻ੶ɾࡶࢽ 1.Ҫ্େี,പ୩େี,ਿࢁ௨,ాத৻࢘,௶༎थ,দխ, Mackerel αʔόࢹʦ࣮ફʧೖ, ٕज़ධࣾ, 20178 ݄26 2.௶༎थ,
MackerelͰ͡ΊΔαʔόཧ ୈ17ճ ϩʔϧฤͷߟ͑ํ, Software Design 20167݄߸, ٕज़ධࣾ, 20166݄18 3.௶༎थ, MackerelͰ͡ΊΔαʔόཧ ୈ13ճ MackerelͱServerspecΛΈ߹ΘͤͨΠϯϑϥςετ, Software Design 20163݄߸, ٕज़ධࣾ, 20162݄18 4.௶༎थ, MackerelͰ͡ΊΔαʔόཧ ୈ9ճ MackerelͷΞʔΩςΫνϟΛΔ, Software Design 201511݄߸, ٕज़ධࣾ, 201510݄17 5.௶༎थ, Perl Hackers Hub ୈ34ճ DockerʹΑΔPerlͷWebΞϓϦέʔγϣϯ։ൃ, WEB+DB PRESS Vol.88, ٕज़ ධࣾ, 20158݄24 6.௶༎थ, MackerelͰ͡ΊΔαʔόཧ ୈ6ճ Mackerelपลͷӡ༻πʔϧͱAWS࿈ܞϊϋ, Software Design 20158݄߸, ٕज़ධࣾ, 20157݄18 7.௶༎थ, MackerelͰ͡ΊΔαʔόཧ ୈ3ճ ӡ༻͠ͳ͕ΒҭͯΔαʔόࢹͷϧʔϧ, Software Design 20155 ݄߸, ٕज़ධࣾ, 20154݄18
11 ത࢜՝ఔͷؔ৺ ɾτοϓΧϯϑΝϨϯε(COMPSAC)ʹࠪಡΛ௨ͤͨ͜ͱ͋Γɺ දతϓϩμΫτΛ࡞Εͨ͜ͱΛ٬؍తʹࣔ͢͜ͱ͕Ͱ͖ͭͭ͋Δ ɾ͔͠͠ɺ࣍ͷண͔ΒදతϓϩμΫτΛ࡞Εͨͱͯ͠ɺҰͭͷε τʔϦʔʹ݁߹͢ΔʹɺͦΕ·ͰͱҟͳΔೳྗ͕ඞཁʹࢥ͑Δ ɾෳͷݚڀΛ౷߹͠ɺҰͭʹ·ͱΊΔͱ͍͏ത࢜จͷϑϨʔϜ ϫʔΫΛҎͬͯɺετʔϦʔʹ·ͱΊΔೳྗΛʹண͚ΒΕͳ͍͔ ͱ͍͏ظΛ͍ͬͯΔ
2. ٕज़ऀͱͯ͠ͷՌΛ·ͱΊͨݚڀ
13 ٕज़ऀͱͯ͠ͷՌ ɾαʔόࢹαʔϏεΛ։ൃɾӡ༻͍ͯͨ͠ ɾαʔϏεར༻ऀ͔Βͷɺࢹରͷখ͞ͳมԽΛݟಀ͞ͳ͍ͨΊʹɺ ࢹ݁ՌͷੵͰ͋Δ࣌ܥྻσʔλͷߴղ૾ԽɺظอଘԽ͢Δཁ ͕͋ͬͨ ɾઃܭͱ࣮ͷҰ෦ɺϦϦʔε·ͰͷϓϩδΣΫτཧΛΊͨ ɾදతϓϩμΫτͱͯ͠ঢ՚͢ΔͨΊʹֶज़จͱ͍͏٬؍తج४ ઓ ɾIOTS2018
࠾ ɾIEEE COMPSAC 2019 ϝΠϯγϯϙδϜ (short paper) ࠾
HeteroTSDB: An Extensible Time Series Database for Automatically Tiering on
Heterogeneous Key-Value Storesa HeteroTSDB: ҟछࠞ߹ΩʔόϦϡʔετΞ Λ༻͍ͨࣗಈ֊ԽͷͨΊͷ ࣌ܥྻσʔλϕʔεΞʔΩςΫνϟ
15 ຊݚڀͷഎܠͷ֓؍ ࣾձͷഎܠ ΠϯλʔωοταʔϏεͷ৴པੑΛৗʹܭଌ͢Δͷ͕ͨΓલʹ ࣾձͷ ཁٻᶃ ࣌ܥྻσʔλΛߴղ૾ʹऔಘ͠ ظอଘ͍ͨ͠ ࣾձͷ ཁٻᶄ
࣌ܥྻσʔλΛάϥϑҎ֎ͷ ෳͷҟͳΔ༻్Ͱࢀর͍ͨ͠ طଘͷղܾ • ࣌ܥྻσʔλͷѹॖ (ࠩූ߸Խ) • ϝϞϦʹॻ͖ࠐΈɺσΟεΫ·ͱ ΊҠಈͤͯ͞ॻ͖ࠐΈޮ্ ෦ߏ͕ີ݁߹ͳͨΊɺ σʔλߏΛՃ͢Δ͜ͱ͕͍͠ ߴղ૾ => I/Oճ͕େ͖͍ ظอଘ => σΟεΫ༻͕େ͖͍ ༻్͝ͱʹσʔλࢀরύλʔϯ͕ҟͳΔͨ ҟͳΔσʔλߏ͕ඞཁ ੑೳ ՝ ֦ு՝ ղܾ͞Ε͍ͯͳ͍՝
16 ຊݚڀͷతͱఏҊͷ֓؍ ݚڀత ॻ͖ࠐΈޮͱσʔλอଘޮΛԼͤͣ͞ʹ σʔλߏΛ֦ுՄೳͳ࣌ܥྻσʔλϕʔεͷఏҊ ֦ு՝ͷղܾ 1ͭͷ༻్ʹ͖ͭɺ1ͭͷDBMSΛՃ σʔλߏΛՃ͍͢͠Α͏ʹ σʔλ(·ͨͦͷҰ෦)Λෳͯ͠ҟͳ ΔDBMSʹॻ͖ࠐΊΔΑ͏ʹૄ݁߹Խ
ੑೳ՝ͷղܾ ҟछࠞ߹DBMSͷΈ߹Θͤ (ΠϯϝϞϦDBMSͰॻ͖ࠐΈ ΦϯσΟεΫDBMS·ͱΊͯҠಈ) ఏҊͷৄࡉ • DBMSؒͷҰ؏ੑΛอͭͨΊͷɹ ႈੑΛͭσʔλߏ • ࣌ܥྻσʔλͷҠಈख๏ • σʔλߏͷՃख๏
͔͜͜ΒΑΓৄࡉʹઆ໌
࣌ܥྻσʔλϕʔεͷઌߦख๏ 18 0QFO54%# (PSJMMB *OqVY%# ॻ͖ࠐΈޮ ϝϞϦόοϑΝ ΠϯϝϞϦ ϝϞϦόοϑΝ σʔλอଘޮ
ແѹॖ ѹॖ ѹॖ ૄ݁߹ੑ ີ݁߹ ॻ͖ࠐΈʹ͍ͭͯ ີ݁߹ ີ݁߹
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)
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 ΠϯϝϞϦKVSͷؒॻ͖ࠐΈճ 4MͰҰఆ ΦϯσΟεΫKVSؒॻ͖ࠐΈճ 70k͔Β170kͷؒΛਪҠ ΦϯσΟεΫKVSͷ ؒॻ͖ࠐΈճΛ 1/20ʹݮͨ͜͠ͱ͕Θ͔Δ ॻ͖ࠐΈεϧʔϓοτͷ࣌ؒมԽ
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) 50Λ͑ͨͱ͜ΖͰ ۭ͖ϝϞϦ༻ྔ͕10.5GBͰҰఆʹͳͬ ͍ͯΔͨΊσʔλҠಈͰ͖͍ͯΔͱ͍͑Δ CPUར༻ͱϝϞϦ༻ྔ
αʔόࢹαʔϏεͷ࣮ڥͷద༻ • 20177݄͔Β20188݄·Ͱͷ1ؒͷՔಇ࣮ • ಉظؒͷো݅2݅ɺނোճ2݅ • ো1: ಛఆͷΠϯϝϞϦKVSͷϊʔυʹॻ͖ࠐΈෛՙ͕ूத͠ɺϝϞ Ϧ্ݶʹୡ͠ɺOSʹڧ੍ఀࢭ͞Εɺσʔλফࣦൃੜ •
ϝοηʔδϒϩʔΧʔ্ͷσʔλΛ࠶ॲཧ͠σʔλ෮چ • ো2: ಉҰͷϝτϦοΫ໊ͱλΠϜελϯϓΛͭσʔλ͕࣌ؒ ʹେྔʹॻ͖ࠐ·ΕɺΠϯϝϞϦKVSͷॻ͖ࠐΈαΠζ্ݶʹୡͨ͠ • ΠϯϝϞϦKVSʹॻ͖ࠐΉલʹॏෳΛഉআ͢Δ͜ͱͰղܾ 22
Mackerelͷ࣮ڥͷద༻ • ނোʹ͍ͭͯɺ͍ͣΕΠϯϝϞϦKVSͷϊʔυ͕ఀࢭ͠ɺ ֘ϊʔυ͕Ϋϥελ͔Β֎ΕΔ·ͰͷؒʹΤϥʔ͕ൃੜͨ͠ • Lambda࣮ؔߦͷࣗಈ࠶ࢼߦʹΑΓࣗಈͰσʔλ෮چ • Ұ෦ͷϝτϦοΫͷॻ͖ࠐΈ͕Ԇ͢ΔʹͱͲ·ͬͨ 23
·ͱΊ • ੑೳͱ֦ுੑΛཱ྆͢Δ࣌ܥྻσʔλϕʔεΞʔΩςΫνϟͷ ఏҊ • AWSͷϚωʔδυαʔϏεʹΑΓҟछࠞ߹σʔλετΞΛલఏ ͱͨ͠ΞʔΩςΫνϟͷߴ͍࣮ݱੑ • Mackerelͷ࣌ܥྻσʔλϕʔεͱͯ͠1ͷՔಇ࣮ 24
25 ຊݚڀͷ՝ ɾධՁͷ؍ ɾଞͷख๏ͱൺֱͨ͠ධՁ݁Ռ͕ͳ͍͜ͱ ɾ֦ுੑͷධՁ݁Ռ͕ͳ͍͜ͱ ɾؔ࿈ݚڀͷཏ ɾจͱͯ͠ɺఏҊख๏ͷཱͪҐஔΛࣔͨ͢Ίͷ࠷ݶͷؔ࿈ݚڀͷ Έͱͳ͍ͬͯΔ͜ͱ
3. ࠓޙͷݚڀ։ൃߏ
27 ݚڀ։ൃߏͷ֓؍ ɾ͘͞ΒΠϯλʔωοτݚڀॴͷϏδϣϯͰ͋Δʮݸମܕσʔληϯ λʔʯʹΑΓɺΫϥυͷܭࢉػೳྗ͕͔͋ͨਓʑͷۙʹଘࡏ͢ Δ͔ͷΑ͏ͳίϯϐϡʔςΟϯάΛࢦ͢ ɾࣗͷಘҙͱབྷΊͯςʔϚͷେΛߜΓࠐΜͩ খنσʔληϯλʔͱΫϥ υΛ༗ػతʹ݁߹͢ΔͨΊʹ σʔλͷҰ؏ੑΛอͪͳ͕Βɺ ͍͔ʹޮΑ͘ಡΈॻ͖͢Δ͔
খنσʔληϯλʔͱΫϥ υ͕݁߹ͨ͠ঢ়ଶʹ͓͍ͯ γεςϜͷঢ়ଶΛ͍͔ʹܭଌ ͠ɺѲ͢Δ͔ σʔλूΞϓϦέʔγϣϯ γεςϜ؍ଌ
28 ςʔϚᶃ: σʔλूΞϓϦέʔγϣϯͷલఏ ɾݸମܕσʔληϯλʔɺ֤σʔληϯ λʔ͕ͲͷΑ͏ʹࢄ͢Δ͔نఆ͍ͯ͠ͳ͍ ɾ·ͣɺΫϥυͱΤοδ(ར༻ऀͷۙ)Λར ༻ͨ͠ΤοδίϯϐϡʔςΟϯάͷܗͰ੍Λ ͔͚Δ ɾ͕ࣗಘҙͳWebΞϓϦέʔγϣϯ͕ಈ࡞͢ Δͷͱ͢Δ
ɾΤοδɺIaaSΛఏڙ͢Δখنσʔληϯ λʔΛఆ Cloud Edge Edge Edge Edge
29 ɾ֤ΤοδؒͱΫϥυͰɺར༻ऀ͕Ͳͷڌʹଓͯ͠ಉ͡σʔ λΛฦ͔͢ɺฦ͞ͳ͍͔ ɾྫ͑ϒϩάαʔϏεͰ͋Εɺಉ͡σʔλΛฦ͢ඞཁ͕͋Δ ɾཧతʹॲཧ͕݁͢ΔαʔϏεͳΒಉ͡σʔλΛฦ͞ͳͯ͘Α͍ ɾαʔϏε༷ͷ੍͕খ͍͞ɺಉ͡σʔλΛฦ͢ํࣜΛબ ɾಉ͡σʔλΛฦ͢߹ɺҰ؏ੑͱԠੑೳͷτϨʔυΦϑ͕͋Δ ɾΤοδؒϨΠςϯγ͕େ͖͍ͨΊɺҰ؏ੑΛڧ͘͢ΔͱɺશΤο δͰσʔλ͕ಉظ͞ΕΔ·Ͱͭඞཁ͕͋ΓɺԠੑೳ͕Լ ɾҰ؏ੑΛ؇ΊΔͱΞϓϦέʔγϣϯʹݹ͍σʔλΛฦ͢Մೳੑ͋Γ
ɾ·ͨɺ߹ܭσʔλྔ͕େ͖͘ͳΔ՝͕͋Δ ςʔϚᶃ: σʔλूΞϓϦέʔγϣϯͷצॴ
30 ɾҰ؏ੑͱੑೳͷτϨʔυΦϑΛɺಡΈࠐΈͱॻ͖ࠐΈͷΞΫηεൺ ͱɺΞϓϦέʔγϣϯͷมߋՄ൱ʹԠͯ͡ɺ੍Λઃఆ ɾಡΈࠐΈओମͰ͋Εɺσʔλͷߋ৽ස͕গͳ͍ͨΊɺҰ؏ੑΛ ڧΊͯɺಉظճ͕খ͘͞ͳΓɺԠੑೳͷԼͷӨڹ૬ରత ʹখ͘͞ͳΔ ɾҰ؏ੑΛڧΊɺΞϓϦέʔγϣϯΛมߋ͠ͳ͍ͱ͍͏੍Λઃఆ ɾσʔλྔݮͷͨΊɺΩϟογϡΛڞ༗͢ΔΑ͏ʹ͢Δ ɾॻ͖ࠐΈओମͰ͋ΕɺಡΈऔΓओମͱٯͱͳΓɺԠੑೳͷԼ ͷӨڹ͕େ͖͘ͳΓɺҰ؏ੑΛڧ͘͢Δͷݱ࣮తͰͳ͍
ɾ۩ମతͳΞϓϦέʔγϣϯΛنఆɻྫ)࣌ܥྻσʔλऩूγεςϜ ςʔϚᶃ: ۩ମతͳςʔϚ੍Λઃఆ
ݸମܕσʔληϯλʔΛࢦͨ͠ ࢄڠௐΫΤϦϦβϧτΩϟογϡߏ
Proxy͕Ωϟογϡͷಉظͱ ΫΤϦͷϑΥϫʔσΟϯά Small Datacenter DBCache Proxy 32 DBΫΤϦΩϟογϡΞʔΩςΫνϟ DB Cloud
Small Datacenter DBCache Proxy App Web Read/Write Read/Write App Web Ωϟογϡڞ༗
Ұ࣌తͳԠͷ Լڐ༰ DBCache Proxy 33 దԠతΫϥελ੍ޚΞʔΩςΫνϟ DB Cloud DBCache Proxy
App Web Read/Write Read/Write App Web App Web (1) ෆௐͳΤοδΛݕ DB Manager (2) ෆௐͳΤοδͷΫΤϦΛ ࢭΊΔΑ͏ʹୡ (3) όοΫάϥϯυͰΩϟογϡΛഇغ ͠ɺۙ·ͨΫϥυ͔Βಉظ ෆௐͳSmall Datacenter ʹҾ͖ͮΒΕͳ͍Α͏ʹ Small Datacenter Small Datacenter
34 ςʔϚᶄ: γεςϜ؍ଌͷצॴ ɾطଘͷ؍ଌख๏ɺαʔόϝτϦοΫ(CPUར༻ͳͲ)ऩूɺϩάऩ ूɾղੳͳͲ ɾݸମܕσʔληϯλʔʹ͓͍ͯɺΫϥυͱൺֱ͠ɺγεςϜ ཧऀཧతͳࢄΛߟྀʹ͍Εͳ͚ΕͳΒͳ͍ ɾγεςϜͷߏཁૉಉ࢜ͷؔੑ͕֮͑ΒΕͣɺӨڹൣғෆ໌ͱͳΔ ɾΞϓϦέʔγϣϯΛมߋ͠ͳ͍ܗͰɺTCP/UDPͰଓؔΛ Ͱ͖ΔΑ͏ͳΈΛߟ͑Δ
ɾγεςϜཧऀ͚ͷՄࢹԽΑΓɺܭࢉػγεςϜ͕ࣗతʹ؍ଌ ݁ՌʹԠͯ͡அͰ͖ΔΑ͏ͳख๏Λࢦ͍ͨ͠
ݸମܕσʔληϯλʔΛࢦͨ͠ ωοτϫʔΫґଘؔͷࣗతͷߏ
4. ·ͱΊ
37 ·ͱΊ ɾදతϓϩμΫτΛࢦͯ͠ɺݚڀͷੈքདྷͨ ɾαʔόࢹαʔϏεͷ࣌ܥྻσʔλϕʔεͷݚڀ։ൃ༰Λհͨ͠ ɾݚڀ։ൃߏͱͯ͠ɺσʔλूΞϓϦέʔγϣϯͱɺγεςϜ؍ଌ ͷͦΕͧΕʹ͍ͭͯհͨ͠