Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
The state of the art in distributed query processing
ACM Computing Surveys (CSUR)
Rate-based query optimization for streaming information sources
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
A Query Sampling Method of Estimating Local Cost Parameters in a Multidatabase System
Proceedings of the Tenth International Conference on Data Engineering
Query Optimization in a Heterogeneous DBMS
VLDB '92 Proceedings of the 18th International Conference on Very Large Data Bases
Developing Cost Models with Qualitative Variables for Dynamic Multidatabase Environments
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
A Theory of Networks for Approximation and Learning
A Theory of Networks for Approximation and Learning
Static optimization of conjunctive queries with sliding windows over infinite streams
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Prediction-Based QoS Management for Real-Time Data Streams
RTSS '06 Proceedings of the 27th IEEE International Real-Time Systems Symposium
A Cost-Based Approach to Adaptive Resource Management in Data Stream Systems
IEEE Transactions on Knowledge and Data Engineering
Propagation of densities of streaming data within query graphs
SSDBM'10 Proceedings of the 22nd international conference on Scientific and statistical database management
EDBT'06 Proceedings of the 2006 international conference on Current Trends in Database Technology
Data Stream Application Manager (DSAM)
Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems
| Hi-index | 0.00 |
For distribution and deployment of queries in distributed stream-processing environments, it is vital to estimate the expected costs in advance. Having heterogeneous Stream-Processing Systems (SPSs) running on various hosts, the parameters of a cost model for an operator must be determined by measurements for each relevant combination of an SPS and hardware. This paper presents a black-box method that determines the parameters of appropriate cost models that regard system-specific behavior. For some SPSs, there might not be any appropriate cost model available due to the lack of internal knowledge. If no cost model is available for any reason, we provide and apply a non-parametric model.