Divy Agrawal and Amr El Abbadi Department of Computer Science University of California at Santa Barbara
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1 Divy Agrawal and Amr El Abbadi Department of Computer Science University of California at Santa Barbara
2 Sudipto Das (Microsoft summer intern) Shyam Antony (Microsoft now) Aaron Elmore (Amazon summer intern) 8/5/2010 2
3 Different from earlier attempts: Distributed Computing Distributed Databases Grid Computing Cloud Computing is REAL Organic growth: Yahoo!, Microsoft, Amazon,Google Poised to be an integral aspect of the global computing Infrastructures 8/5/2010 3
4 Client Site Client Site Client Site HAProxy (Load Balancer) Elastic IP 8/5/2010 MySQL Master DB Replication Database becomes the Scalability Bottleneck MySQL Slave DB Cannot leverage elasticity 4
5 Client Site Client Site Client Site HAProxy (Load Balancer) Elastic IP MySQL Master DB Replication MySQL Slave DB 8/5/2010 5
6 Client Site Client Site Client Site HAProxy (Load Balancer) Elastic IP Scalable and Elastic Key Value Stores But limited consistency and 8/5/2010 operational flexibility 6
7 Scalability Elasticity Fault tolerance Self Manageability Sacrifice consistency? Can be done, but is it a foregone conclusion!!! 8/5/2010 7
8 Separate System and Application State Limit interactions to a single node Decouple Ownership from Data Storage Limited dist synchronization is practical 8/5/2010 8
9 Data Fusion Enrich Key Value stores GStore: Efficient Transactional Multi-key access [ACM SOCC 2010] Data Fission Cloud enabled relational databases ElasTraS: Elastic TranSactional Database [HotClouds2009;Tech. Report 2010] 8/5/2010 9
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11 Many applications need multi-key accesses: Online multi-player games Collaborative applications Enrich functionality of the Key value stores 8/5/
12 Apps select any set of keys to form a group A granule of on-demand transactional access Data store provides transactional group access Non-overlapping groups 8/5/
13 Keys located on different nodes Horizontal Partitions of the Keys Key Group A single node gains ownership of all keys in a KeyGroup Group Formation Phase 8/5/
14 Conceptually akin to locking Allows collocation of ownership Transfer key ownership from followers to leader Guarantee safe transfer in the presence of system dynamics: Dynamic migration of data and its control Failures 8/5/
15 Transactional Multi-Key Access Application Clients Grouping Middleware Layer resident on top of a Key-Value Store Grouping Layer Transaction Manager Key-Value Store Logic Grouping Layer Transaction Manager Key-Value Store Logic Grouping Layer Transaction Manager Key-Value Store Logic 8/5/2010 Distributed Storage G-Store 15
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17 Designed to make RDBMS cloud-friendly Database viewed as a collection of partitions Suitable for standard OLTP workloads: Large single tenant database instance Database partitioned at the schema level Multi-tenant with large number of small databases Each partition is a self contained database 8/5/
18 Elastic to deal with workload changes Dynamic load balancing of partitions Automatic recovery from node failures Transactional access to database partitions 8/5/
19 TM Master Health and Load Management OTM OTM Application Clients DB Read/Write Workload Lease Management OTM Durable Writes Metadata Manager Master Proxy Application Logic Txn Manager P 1 P 2 P n DB Partitions ElasTraS Client MM Proxy Log Manager Distributed Fault-tolerant Storage 8/5/
20 Performed in Amazon EC2 Used TPC-C for evaluation Cluster size: 10 to 30 nodes Number of concurrent clients: 100 to 1800 Data size: ~1T Each node: 8 cores, 7G RAM, 1.7T disk Max thruput: 0.2M TPC-C Xact/sec on 30 machines using HDFS & Zookeeper software. 8/5/
21 Cloud Computing poses fundamental challenges to database researchers: Scalability, Reliability and Data Consistency Need to understand the new applications Live Data migration is critical. Challenging multi-node/center atomic operations Clear characterization of properties & guarantees. 8/5/
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