Performance tradeoffs for client-server query processing
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Database performance in the real world: TPC-D and SAP R/3
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Eddies: continuously adaptive query processing
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Least expected cost query optimization: what can we expect?
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Distributed Systems: Principles and Paradigms
Distributed Systems: Principles and Paradigms
Middle-tier database caching for e-business
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Caching Strategies for Data-Intensive Web Sites
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Mariposa: a wide-area distributed database system
The VLDB Journal — The International Journal on Very Large Data Bases
Data access patterns in the Amazon.com technology platform
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
The end of an architectural era: (it's time for a complete rewrite)
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Quality contracts for real-time enterprises
BIRTE'06 Proceedings of the 1st international conference on Business intelligence for the real-time enterprises
Declarative scheduling in highly scalable systems
Proceedings of the 2010 EDBT/ICDT Workshops
An evaluation of alternative architectures for transaction processing in the cloud
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
SLA-tree: a framework for efficiently supporting SLA-based decisions in cloud computing
Proceedings of the 14th International Conference on Extending Database Technology
Revisiting the partial data cube materialization
ADBIS'11 Proceedings of the 15th international conference on Advances in databases and information systems
Performance evaluation of scheduling algorithms for database services with soft and hard SLAs
Proceedings of the second international workshop on Data intensive computing in the clouds
Parallel data processing with MapReduce: a survey
ACM SIGMOD Record
An architecture framework for application-managed scaling of cloud-hosted relational databases
Proceedings of the WICSA/ECSA 2012 Companion Volume
A platform for seamless context transfers in the mobile cloud
Proceedings of the 12th International ACM Workshop on Data Engineering for Wireless and Mobile Acess
Demo: measuring and estimating monetary cost for cloud-based data stream processing
Proceedings of the 7th ACM international conference on Distributed event-based systems
HAT, not CAP: towards highly available transactions
HotOS'13 Proceedings of the 14th USENIX conference on Hot Topics in Operating Systems
| Hi-index | 0.01 |
Traditionally, database systems were optimized in the following way: "Given a set of machines, try to minimize the response time of each request." This paper argues that today, users would like a database system to optimize the opposite question: "Given a response time goal for each request, try to minimize the number of machines (i.e., cost in $)." Furthermore, this paper gives an example that demonstrates that the new optimization problem may result in a totally different system architecture.