IPSJ SIG Technical Report Vol.2011-ARC-195 No.23 Vol.2011-OS-117 No /4/14 1. Cassandra CMS CMS 100 PC Cassandra Cassandra CMS Design of S

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1 1. CMS CMS 100 PC CMS Design of Scalable CMS using Shoshi TAMAKI, 1 Yu TANINARI 2 and Shinji KONO 3 To develop scalable CMS, We built scalability verification environment with 100 PC Clusters to verify scalabilty of. As a result, We confirm a scalability verification method, feature and scale condition in. In this time, We considered how to secure scalabilty confroming to the verification. According as the method, We designed CMS and implemented Monotonic Tree-Modification for the CMS s data structure 90 PC CMS 2., FaceBook Key-Value Dynamo 2) BigTable 5). 2008, 2009 Apache Incubator Apache,. 2.1 ConsistencyLevel, ConsistencyLevel.,,., Read Write ConsistencyLevel. ConsistencyLevel ReplicationFactor,. 1 Interdisciplinary Infomation Engineering, Graduate School of Engineering and Science, University of the Ryukyus. 2 Infomation Engineering, University of the Ryukyus. 3 Infomation Engineering, University of the Ryukyus. 2.2 SEDA SEDA(Staged Event-Driven Architecture), 3)4).. 1.,. 1 c 2011 Information Processing Society of Japan

2 . PC. 20,,. Node01 Node02 Node03 Node80 MySQL etc... PC Cluster 2 PC dra., Write., REPLACE. REPLACE., INSERT. SEDA. Thread Pool 1 SEDA 2.3 PC 1) PC MySQL Torque, PHP. PHP Core Read /MySQL Cassan Core8Threads Read/Write MySQL. Read, 70 MySQL., MySQL., SEDA., SEDA,, Read/Write,., Read/Write 1,., 1.,.,. 2 c 2011 Information Processing Society of Japan

3 2.3.4 READ/WRITE Browser Web API cache cache cache 3. CMS CMS ( 1 ) ( 2 ) ( 1 ) ( 2 ) CMS API Web API API bot Web (/API /Web ) CMS Browser Browser Web Web API API CMS c 2011 Information Processing Society of Japan

4 root CMS Java 4.1 Node : NodeID : Node ID UUID+Version Forest : Node Tree : Node TreeEditor : Node/NodeID Node Node NodeID UUID Version NodeID.UUID Node Node Node UUID Node 3 1 root root Tree A A Ver:1 Node Tree B A Ver: B Ver:1 C Ver:1 B Ver:2 C Ver:7 5 UUID 6 Node NodeID 4 c 2011 Information Processing Society of Japan

5 4.1.2 Forest Forest Node NodeID key Node NodeID UUID key UUID Node Node CMS Tree Node Forest Forest Tree Node Forest Tree Node Tree TreeEditor TreeEditor Tree commit/check/update Tree Tree TreeEditor commit merge Forest Contents Tree TreeEditor Tree Tree KeySpace Node ColumnFamily Key Column Column Column NodeID NodeID NodeID NodeID ColumnFamily foo fuzz bar Key tip Column Column UUID VERSION foo 8 KeySpace Node ColumnFamily NodeID key Column Node NodeID ColumnFamily Node UUID key Node Version Partitioner key RandomPartitioner Forest Forest Client Java (java.concurrent ) Future attr hoge old bar TreeEditor TreeEditor Node 5 c 2011 Information Processing Society of Japan

6 Thread1,Connection1 getcolumn(...) Thread2,Connection2... Thread n,connection n Future ConnectionPool 9 ConnectionPool batch_mutate ColumnFamily Column TreeEditor NodeID ColumnFamily Node ColumnFamily 1) Shoshi TAMAKI,Shinji KONO: CMS PC, (2010) 2) Giuseppe DeCandia, Deniz Hastorun, Madan Jampani, Gunavardhan Kakulapati, Avinash Lakshman, Alex Pilchin, Swaminathan Sivasubramanian, Peter Vosshall, Werner Vogels: Dynamo: Amazon s Highly Avaliable Key-value Store, SOSP (2007) 3) Matt Welsh: The Staged Event-Driven Architecture for Highly-Concurrent Applications 4) Matt Welsh, David Culler, Eric Brewer: SEDA : An Architecture for Well- Conditioned, Scalable Internet Services, SOSP (2001) 5) Fay Chang, Jeffrey Dean, Sanjay Ghemawat, Wilson C. Hsieh, Deborah A. Wallach Mike Burrows, Tushar Chandra, Andrew Fikes, Robert E. Gruber: Bigtable : A Distributed Storege System for Structured Data 5. CMS CMS 6. Symphony Symphony 6 c 2011 Information Processing Society of Japan

られる. 概要を図 2 に示す. 仮想ノードを用いることによ り, 物理ノードが数台しか存在しない環境であっても, ハ ッシュ空間上では仮想的に数百台のノード ( 仮想ノード ) が存在していると認識させることが可能である. 非仮想ノ ード配置でも定常時のデータの分散を均等にする ( あるい は偏り

られる. 概要を図 2 に示す. 仮想ノードを用いることによ り, 物理ノードが数台しか存在しない環境であっても, ハ ッシュ空間上では仮想的に数百台のノード ( 仮想ノード ) が存在していると認識させることが可能である. 非仮想ノ ード配置でも定常時のデータの分散を均等にする ( あるい は偏り KVS の動的ノード追加時間の短縮 Vol.214-DBS-16 No.24 Vol.214-OS-131 No.24 Vol.214-EMB-35 No.24 214/11/18 御代川翔平 徳田大輝 山口実靖 情報処理システムが扱うデータ量の増大に伴い, 高いスケーラビリティを持つデータベース管理システムである KVS に注目が集まっている. 代表的な KVS の一つである Cassandra

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