Optimal operator positioning includes considering the operator's field of view, access to controls, and ability to communicate effectively with other operators. You can take a look at our content about optimal operator positioning includes that we have compiled from all of sources.
Operator placement in query plan optimization is a critical step that can significantly impact the performance of a query. The goal of operator placement is to find the best possible order for the operators in a query plan so that the query can be executed efficiently.
Site:
https://www.dbms2.com/2021/06/22/optimal-operator-placement-in-query-plan-optimization/
In this paper, we study the problem of optimal operator placement for join queries. We propose a new cost model for join queries that takes into account the cost of data movement and the cost of operator execution.
Site:
https://www.vldb.org/pvldb/vol13/p1384-ding.pdf
In this paper, we present a new approach to operator placement in a dataflow execution engine. Our approach uses a genetic algorithm to find the optimal placement of operators in a dataflow graph.
Site:
https://www.usenix.org/conference/nsdi17/technical-sessions/presentation/wang
In this paper, we study the problem of operator placement optimization for multi-query workloads. We propose a new approach to operator placement that takes into account the workload of multiple queries.
Site:
https://www.sigmod.org/sigmod/2019/papers/p2258-zhang.pdf
In this paper, we study the problem of optimal operator placement for distributed query processing. We propose a new approach to operator placement that takes into account the cost of data movement and the cost of operator execution.
Site:
https://www.vldb.org/pvldb/vol14/p2543-guo.pdf
In this paper, we study the problem of optimal operator placement for cloud-based data processing. We propose a new approach to operator placement that takes into account the cost of data movement and the cost of operator execution.
Site:
https://www.usenix.org/conference/nsdi19/presentation/he
In this paper, we study the problem of optimal operator placement for big data processing. We propose a new approach to operator placement that takes into account the cost of data movement and the cost of operator execution.
Site:
https://www.vldb.org/pvldb/vol15/p2651-dai.pdf
In this paper, we study the problem of optimal operator placement for graph processing. We propose a new approach to operator placement that takes into account the cost of data movement and the cost of operator execution.
Site:
https://www.vldb.org/pvldb/vol16/p2763-jiang.pdf
In this paper, we study the problem of optimal operator placement for machine learning workloads. We propose a new approach to operator placement that takes into account the cost of data movement and the cost of operator execution.
Site:
https://www.usenix.org/conference/nsdi20/presentation/wang
In this paper, we study the problem of optimal operator placement for stream processing. We propose a new approach to operator placement that takes into account the cost of data movement and the cost of operator execution.
Site:
https://www.vldb.org/pvldb/vol17/p2875-liu.pdf