A publish/subscribe middleware for dependable and real-time resource monitoring in the cloud

  • Authors:

  • Kyoungho An;Subhav Pradhan;Faruk Caglar;Aniruddha Gokhale

  • Affiliations:

  • Vanderbilt University, Nashville, TN;Vanderbilt University, Nashville, TN;Vanderbilt University, Nashville, TN;Vanderbilt University, Nashville, TN

  • Venue:
  • Proceedings of the Workshop on Secure and Dependable Middleware for Cloud Monitoring and Management
  • Year:
  • 2012

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Abstract

Providing scalable and QoS-enabled (i.e., real-time and reliable) monitoring of resources (both virtual and physical) in the cloud is essential to supporting application QoS properties in the cloud as well as identifying security threats. Existing approaches to resource monitoring in the cloud are based on web interfaces, such as RESTful APIs and SOAP, which cannot provide real-time information efficiently and scalably because of a lack of support for fine-grained and differentiated monitoring capabilities. Moreover, their implementation overhead results in a distinct loss in performance, incurs latency jitter, and degrades reliable delivery of time-sensitive information. To address these challenges this paper presents a novel lighter weight and scalable resource monitoring and dissemination solution based on the publish/subscribe (pub/sub) paradigm. Our solution called SQRT-C leverages the OMG Data Distribution Service (DDS) real-time pub/sub middleware, and uses effective software engineering principles to make it usable with multiple cloud platforms. Preliminary empirical results comparing SQRT-C with contemporary web-based resource usage monitoring services reveals that SQRT-C is significantly better than the conventional approaches in terms of latency, jitter and scalability.