Quality analysis of logging system components in the cloud

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cloud computing provides on-line computing resources such as storage, operating systems, applications and infrastructure, allowing these resources to be accessed via the Internet. Cloud computing is now ubiquitous, thus necessitating greater attention to security issues. Logging systems as part of an accountability approach are a core requirement to mitigate the risks associated with security issues. However, previous work has not provided full quality analysis of logging systems’ critical components. This paper provides such a quality analysis of all the critical components of logging systems in terms of their advantages and disadvantages, and describes three cases of logging systems currently described and discussed in the research literature in terms of the usefulness of our analysis approach. Examples of quality aspects include the security and performance of the components, which are important considerations for the development of logging systems. To the best of our knowledge, this analysis has not yet been described in the literature. The analysis provides a basis for efficiently and appropriately deploying logging systems. This will enable such systems to work in the cloud.

Original languageEnglish
Title of host publicationInformation Science and Applications, ICISA 2016
EditorsKuinam J. Kim, Nikolai Joukov
PublisherSpringer Verlag
Pages651-662
Number of pages12
ISBN (Print)9789811005565
DOIs
Publication statusPublished - 2016
EventInternational Conference on Information Science and Applications, ICISA 2016 - Minh City, Viet Nam
Duration: 15 Feb 201618 Feb 2016

Publication series

NameLecture Notes in Electrical Engineering
Volume376
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Information Science and Applications, ICISA 2016
Country/TerritoryViet Nam
CityMinh City
Period15/02/1618/02/16

Bibliographical note

Publisher Copyright:
© Springer Science+Business Media Singapore 2016.

Keywords

  • IaaS cloud
  • Logging system
  • Quality analysis

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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