A study of query execution strategies for client-server database systems
A study of query execution strategies for client-server database systems
Performance tradeoffs for client-server query processing
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Dynamic Query Processing for P2P Data Services in the Cloud
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
Query Optimization in Encrypted Relational Databases by Vertical Schema Partitioning
SDM '09 Proceedings of the 6th VLDB Workshop on Secure Data Management
A Novel Cloud-Based Subjective Trust Model
MINES '09 Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 01
CloudDB: One Size Fits All Revived
SERVICES '10 Proceedings of the 2010 6th World Congress on Services
A Cloud Trust Model in a Security Aware Cloud
SAINT '10 Proceedings of the 2010 10th IEEE/IPSJ International Symposium on Applications and the Internet
Tree-Based Consistency Approach for Cloud Databases
CLOUDCOM '10 Proceedings of the 2010 IEEE Second International Conference on Cloud Computing Technology and Science
Intelligent management of virtualized resources for database systems in cloud environment
ICDE '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering
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Nowadays public clouds offer a scalability that is often beyond what a user would be able to afford otherwise. Cloud bursting allows businesses leverage the cloud without losing the comfort and control of in-house data centre operations. Looking at cost, security and resource utilization angles we need a dynamic infrastructure to decide about the hybrid mix ie, private and public clouds. In this paper, we propose a general paradigm where software stacks need to be re-architected to dynamically be able to run either in public or private clouds. The queries get executed in private or public clouds based on cost, security and resource utilization models chosen by the clients.