NDLI: Issues and Challenges of an Inductive Learning Algorithm for Self-Healing Applications

Content Provider	IEEE Xplore Digital Library
Author	Fuad, M.M.
Copyright Year	2010
Abstract	Day-to-day maintenance of software systems is a grand challenge due to the fact that the runtime environment changes continuously and the application can behave completely differently because of that. Users of such systems want to run their application and do not want to worry about the mundane task of system management in the face of a failure. If such management scenarios come into existence, the user wants the runtime environment to handle those situations autonomically. The user is more concerned with timely execution of their computation and production of intended results. Without expert technical help, average users have extreme difficulty managing such failure scenarios. This paper investigates the usability of explanation based learning algorithm with inductive rules to provide adaptive management of user application in the face of faults. A distributed algorithm is proposed that collects runtime program traces and signatures and combines all distributed copies to derive the domain knowledge for the learning algorithm.
Starting Page	264
Ending Page	269
File Size	332127
Page Count	6
File Format	PDF
ISBN	9781424462704
e-ISBN	9781424462711
DOI	10.1109/ITNG.2010.64
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Software maintenance Runtime environment Software algorithms Humans Application software Information technology Environmental management Programming profession Autonomic computing Computer science Self-adaptive application Software systems Policy management Explanation-based learning
Content Type	Text
Resource Type	Article

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