Real-Time Scheduling for Data Stream Management Systems

  • Authors:
  • Sven Schmidt;Thomas Legler;Daniel Schaller;Wolfgang Lehner

  • Affiliations:
  • Dresden University of Technology;Dresden University of Technology;Dresden University of Technology;Dresden University of Technology

  • Venue:
  • ECRTS '05 Proceedings of the 17th Euromicro Conference on Real-Time Systems
  • Year:
  • 2005

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Abstract

Quality-aware management of data streams is gaining moreand more importance with the amount of data produced by streams growing continuously. The resources required for data stream processing depend on different factors and are limited by the environment of the Data Stream Management System (DSMS). Thus, with a potentially unbounded amount of stream data and limited processing resources, some of the data stream processing tasks (originating from different users) may not be satisfyingly answered, and therefore, users should be enabled to negotiate a certain quality for the execution of their stream processing tasks.After the negotiation process, it is the responsibility of the DataStream Management System to meet the quality constraints by using adequate resource reservation and scheduling techniques.Within this paper, we consider different aspects of real-timescheduling for operations within a DSMS.We propose a schedulingconcept which enables us to meet certain time-dependentQuality-of-Service requirements for user-given processing tasks.Furthermore, we describe the implementation of our schedulingconcept within a real-time-capable Data Stream ManagementSystem, and we give experimental results on that.