MoPoC 2012 - 1st International Workshop on Monitoring and Prediction of Cloud Services (MoPoC 2012)

1st International Workshop on Monitoring and Prediction of Cloud Services (MoPoC 2012)
Workshop Website

http://w3c.org.au/mopoc2012/

Workshop Summary:

Cloud services are perpetually becoming more important to current IT operations. For instance, according to IDC, the revenue from public IT cloud services exceeded $21.5 billion in 2010 and will reach $72.9 billion in 2015, representing a compound annual growth rate (CAGR) of 27.6%. Along with the clouds increasingly central role to the services industry, monitoring cloud services as well as the applications deployed on them is becoming a priority - if mission-critical business applications are deployed to a cloud, real-time monitoring of service quality becomes as integral to the cloud as business activity monitoring is to current (in house) process management solutions. However, currently deployed solutions are minimal at best. Techniques for dynamically monitoring, predicting and capturing the relationship between service quality, current cloud service allocation and changes in workload patterns remain both, an open research problem and a practical need. Overall, the integration of cloud monitoring, workload prediction, service performance models and optimization techniques to effect an end-to-end automated monitoring and provisioning process over cloud environments is a hitherto neglected research area.

The goal of the MoPoC12 workshop is to strengthen scholarly and industrial research in algorithms, methods and tools for monitoring the current state of cloud services and/or applications deployed to the cloud (with regards to, for instance, performance, availability, compliance with governmental regulations, or security), as well as for predicting these parameters for future services or applications. The workshop fosters the exchange of ideas between practitioners building state-of-the-art solutions, and researchers interested in the conceptual foundation of future monitoring and prediction solutions for cloud services. The event accepts paper submissions regarding novel ideas for cloud monitoring and prediction, as well as experience reports on quality monitoring and prediction of cloud services in industrial settings.