VPipe: Virtual Pipelining for Scheduling of DAG Stream Query Plans

Practical Identification of Dynamic Precedence Criteria to Produce Critical Results from Big Data Streams

“…Similarly, there are many efforts that introduce methods whose focus is to improve the metrics across multiple queries [51,52,53,54,55,56,57,54,58,59,60,61]. [51] explores the multi-query scheduling as a job-scheduling problem and utilizes real-time computing approaches.…”

“…The work on [60] extended Chain to use a combined memory usage and response time metric. While, [61] extend the Chain scheduling for complex DAG plans. [58] seeks to maximize the output of all query results, regardless of their significance, by adjusting the acheduling of query join operators.…”