Optimization of parallel query execution plans in XPRS
Distributed and Parallel Databases - Selected papers from the first international conference on parallel and distributed information systems
Dataflow query execution in a parallel main-memory environment
Distributed and Parallel Databases - Selected papers from the first international conference on parallel and distributed information systems
Eddies: continuously adaptive query processing
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
NiagaraCQ: a scalable continuous query system for Internet databases
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
TelegraphCQ: continuous dataflow processing
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Aurora: a new model and architecture for data stream management
The VLDB Journal — The International Journal on Very Large Data Bases
Flexible time management in data stream systems
PODS '04 Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
C-store: a column-oriented DBMS
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Optimizing in-order execution of continuous queries over streamed sensor data
SSDBM'2005 Proceedings of the 17th international conference on Scientific and statistical database management
Incremental Evaluation of Sliding-Window Queries over Data Streams
IEEE Transactions on Knowledge and Data Engineering
Monitoring streams: a new class of data management applications
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Adaptive Execution of Stream Window Joins in a Limited Memory Environment
IDEAS '07 Proceedings of the 11th International Database Engineering and Applications Symposium
Load shedding in a data stream manager
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Column-stores vs. row-stores: how different are they really?
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Column-oriented database systems
Proceedings of the VLDB Endowment
PIKM 2010: ACM workshop for ph.d. students in information and knowledge management
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Emerging multidisciplinary research across database management systems
ACM SIGMOD Record
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Many data stream sources are prone to periods of spikes in volume as well as periods of delays and silence. Because peak load during a spike can be orders of magnitude higher than a typical load, fully provisioning data stream monitoring system with all needed resources is generally difficult to achieve. Furthermore, data stream sources are subject to network delays and congestions as they connect to a data stream monitoring system over shared communication channels. Careless management of delays and periods of silence will eventually drop system performance drastically. Our research contribution investigates system performance during periods of peak load and periods of delays while supporting data stream applications, e.g., as in monitoring online stocks. We propose an algorithm, termed EM-SWJoin, that utilizes external memory data structures to keep up with the variable data arrival rates while keeping disk access latency at minimum. We also propose ADEDAS; an algorithm that guarantees an ordered release of output results while controlling the impact of delays over stream processing. Finally, we investigate how to deploy column-stores in data stream environments where column-oriented physical design approaches replace row-by-row data representations.