Concurrency control and recovery in database systems
Concurrency control and recovery in database systems
Self-stabilization and eventual consistency in replicated real-time databases
WOSS '02 Proceedings of the first workshop on Self-healing systems
Horizontal data partitioning in database design
SIGMOD '82 Proceedings of the 1982 ACM SIGMOD international conference on Management of data
A Suite of Database Replication Protocols based on Group Communication Primitives
ICDCS '98 Proceedings of the The 18th International Conference on Distributed Computing Systems
Consensus on transaction commit
ACM Transactions on Database Systems (TODS)
Database replication policies for dynamic content applications
Proceedings of the 1st ACM SIGOPS/EuroSys European Conference on Computer Systems 2006
Dynamo: amazon's highly available key-value store
Proceedings of twenty-first ACM SIGOPS symposium on Operating systems principles
Concurrency Control and Consistency of Multiple Copies of Data in Distributed Ingres
IEEE Transactions on Software Engineering
Agile dynamic provisioning of multi-tier Internet applications
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Middleware-based database replication: the gaps between theory and practice
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
SnowFlock: rapid virtual machine cloning for cloud computing
Proceedings of the 4th ACM European conference on Computer systems
Cassandra: a decentralized structured storage system
ACM SIGOPS Operating Systems Review
Kaleidoscope: cloud micro-elasticity via VM state coloring
Proceedings of the sixth conference on Computer systems
HyPer: A hybrid OLTP&OLAP main memory database system based on virtual memory snapshots
ICDE '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering
Towards Elastic Multi-Tenant Database Replication with Quality of Service
UCC '12 Proceedings of the 2012 IEEE/ACM Fifth International Conference on Utility and Cloud Computing
Optimizing VM checkpointing for restore performance in VMware ESXi
USENIX ATC'13 Proceedings of the 2013 USENIX conference on Annual Technical Conference
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Stateless services are easy to scale in the cloud since new replicas of these services can be created at any time and they operate completely independently of other instances. In contrast, scaling stateful services, such as a database system, can take minutes or even hours due to the need to present a consistent view of the system for users of the service. Currently, this problem is addressed by resource over-provisioning in anticipation of demand spikes. FlurryDB uses virtual machine cloning to improve resource utilization by drastically reducing the latency required to add a new replica. We also show that FlurryDB is capable of handling updates to resources in a fashion that preserves consistency across the cloning boundary.