Management-Based license discovery for the cloud

  • Authors:
  • Minkyong Kim;Han Chen;Jonathan Munson;Hui Lei

  • Affiliations:
  • IBM T.J. Watson Research Center, Hawthorne, NY;IBM T.J. Watson Research Center, Hawthorne, NY;IBM T.J. Watson Research Center, Hawthorne, NY;IBM T.J. Watson Research Center, Hawthorne, NY

  • Venue:
  • ICSOC'12 Proceedings of the 10th international conference on Service-Oriented Computing
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

Enterprise software is typically licensed through contracts that require organizations to monitor their own usage of the software and purchase the number or amount of licenses required by the vendor's terms and conditions for that software. Vendors reserve the right to audit an organization's use of their software, and if an organization is under-licensed, costly back-payments may be required. For this reason, organizations go to great expense to maintain a complete and accurate inventory of their software so that they know their license obligations. The cloud, as an environment offering both greater flexibility in, and a higher degree of control over, an enterprise's computing infrastructure, presents both new challenges for license compliance as well as new opportunities. In this paper, we introduce a new approach to producing accurate software inventories based on capturing the knowledge that is present in cloud management systems at the time of software provisioning and installation. We also demonstrate new capabilities for rule-based alerting and enforcement that are made possible by our approach.