Toward Self-Healing Multitier Services

  • Authors:
  • Brian Cook;Shivnath Babu;George Candea;Songyun Duan

  • Affiliations:
  • Duke University and IBM. bcook@cs.duke.edu;Duke University. shivnath@cs.duke.edu;École Polytechnique Fédérale de Lausanne. George.Candea@epfl.ch;Duke University. syduan@cs.duke.edu

  • Venue:
  • ICDEW '07 Proceedings of the 2007 IEEE 23rd International Conference on Data Engineering Workshop
  • Year:
  • 2007

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Abstract

Are self-healing database-centric multitier services utopia or just a hard puzzle? We argue for the latter and aim to identify the missing pieces of this puzzle. We advocate robust and scalable learning-based approaches to self-healing that we expect to work well for a large class of multitier services. We identify performance-availability problems (PAPs) as the most relevant target for self-healing, and argue that PAPs are best addressed macroscopically, outside the realm of individual tiers. Finally, we lay out a research agenda for learning-based approaches to self-healing, to enable wider deployment of self-healing multi-tier services.