Main Reference PaperAssessing Invariant Mining Techniques for Cloud-based Utility Computing Systems, IEEE Transactions on Services Computing, March 2017 [Java].
  • Proposed work evaluates the Invariant Mining Techniques such as clustering, association rules, and decision list for Cloud-based Utility Computing Systems for capacity planning and detection of failures, anomalies and violations of Service Level Agreements.

+ Description
  • Proposed work evaluates the Invariant Mining Techniques such as clustering, association rules, and decision list for Cloud-based Utility Computing Systems for capacity planning and detection of failures, anomalies and violations of Service Level Agreements.

  • To assess the performance of Invariant Mining Techniques in cloud utility computation.

  • To provide knowledge to choose appropriate Mining Technique according to the system requirement.

+ Aim & Objectives
  • To assess the performance of Invariant Mining Techniques in cloud utility computation.

  • To provide knowledge to choose appropriate Mining Technique according to the system requirement.

  • Other mining in-variants along with the current techniques are considered for analysis.

+ Contribution
  • Other mining in-variants along with the current techniques are considered for analysis.

  • Java JDK 1.8, MySQL 5.5.40.

  • Netbeans 8.0.1, & J2SE.

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL 5.5.40.

  • Netbeans 8.0.1, & J2SE.

  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

+ Project Recommended For
  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-Depending on the complexity of the project and requirements.

+ Order To Delivery
  • No Readymade Projects-Depending on the complexity of the project and requirements.

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