Cascading-failure tolerance for language service networks

Kemas M. Lhaksmana, Toru Ishida, Yohei Murakami

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

One of the main features of The Language Grid is its support for service composition, i.e. creating new language services that meet user requirements by combining the existing ones. Despite the potential of service composition, such a service-oriented computing (SOC) application may experience cascading failure when a disruption on one or more component services is propagated to the composite services that combine them. As the number of language services grows, composite language services will become more common, and thus understanding cascading failure among language services becomes more important. This chapter investigates how failure may propagate among language services and how to improve language service tolerance to cascading failure. To this end, the dependency between language services is modeled as service network on which cascading failure is simulated and analyzed. We also generated service networks in scale-free, exponential, and random topology to analyze how cascading failure occurs in different topology. The simulation reveals that service networks with scale-free topology have better cascading-failure tolerance compares to that of other topology.

Original languageEnglish
Title of host publicationCognitive Technologies
PublisherSpringer-Verlag
Pages91-105
Number of pages15
Edition9789811077920
DOIs
Publication statusPublished - 2018 Jan 1
Externally publishedYes

Publication series

NameCognitive Technologies
Number9789811077920
ISSN (Print)1611-2482

Keywords

  • Cascading failure
  • Scale-free network
  • Service network

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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  • Cite this

    Lhaksmana, K. M., Ishida, T., & Murakami, Y. (2018). Cascading-failure tolerance for language service networks. In Cognitive Technologies (9789811077920 ed., pp. 91-105). (Cognitive Technologies; No. 9789811077920). Springer-Verlag. https://doi.org/10.1007/978-981-10-7793-7_6