Context

Cloud computing offers a computational model where network, storage, and compute domains can be abstracted into virtual resources offered on demand. While these abstractions offer opportunities to significantly simplify the management and optimize the use of resources, they impose additional challenges on assuring the quality of service (QoS).

In the context of multi-tenancy, the same physical resources are shared by different users that do not necessarily share the same service level agreements; hence the QoS distinction has to be enforced at a finer grain. Moreover, certain attributes of the QoS may contradict with others, for instance, high availability favors replication and distributed redundancy while energy efficiency favors de-duplication and consolidation. The multi-layered architecture of the distributed cloud requires not only a thorough orchestration between layers to ensure the required QoS, but also makes the root cause analysis even more complicated in case of the SLA violation. Continuous changes and migrations of the resources allocated at all layers of abstraction pose further challenges to detecting problems, identifying their location and reasoning about causality.

The aim of this workshop is to raise awareness of the challenges of the QoS assurance in the cloud, and bring together practitioners and researchers to discuss potential solutions.

Call for papers

The workshop solicits high-quality papers authored by both industry and academic contributors that address at least one of the following topics:

¨ Security assurance and regulations compliance in the cloud
¨ Multi-level isolation orchestration for the cloud tenants
¨ High Availability and fault tolerance approaches and techniques in the cloud
¨ Dynamic performance assessment (compute, storage and networking) and prediction
¨ Telemetry and smart metering in the cloud
¨ Carbon Footprint quantification approaches for cloud hosted applications
¨ Requirement modeling and specification for the QoS
¨ Orchestration and refinement for cloud QoS policies
¨ Dynamic verification and validation of cloud service quality
¨ Automated generation of multi-layer QoS test cases
¨ Autonomic approaches for assurance of cloud service quality
¨ Real-time analytics integration with QoS control loops
¨ Evaluations of cloud QoS impact on application or service QoE
¨ Automatic generation of workflows related to assuring QoS in cloud
¨ Machine learning and data mining techniques for optimizing QoS assurance processes

The workshop papers should be no more than 6 pages (including references) in IEEE double column format. Papers should be submitted electronically via the workshop submission site. For an accepted paper, at least one author must register and attend the workshop.

The workshop proceedings will be published in the IEEE Xplore library.

All papers should be uploaded to the submission site. [https://easychair.org/conferences/?conf=qac15]

Important dates

Paper submission date: August 15 (Extended)
Authors Notification date: September 1
Camera ready version: September 15

Workshop Organizers

Ali Kanso, Ericsson Research, Canada: ali.kanso@ericsson.com
Catalin Meirosu, Ericsson Research, Sweden: catalin.meirosu@ericsson .com

Technical Program Committee (To Be Completed)

Seetharami R. Seelam, IBM T. J. Watson Research Center, USA
Michela D'Errico, Hewlett-Packard Laboratories, UK
Khoder Shamy, ‎BlackBerry Limited, Canada
Ewa Deelman, University of Southern California, USA
Renato Figueiredo, University of Florida, USA
Georges Khalil, Google Inc., Canada
Rolf Stadler, KTH Royal Institute of Technology, Sweden
Radu Prodan, University of Innsbruck, Austria
Sanjeev Mehrotra, Microsoft Research, USA
Gunter Mussbacher, McGill University, Canada
Pietro Colombo, Insubria University, Italy
Andreas Johnsson, Ericsson Research, Sweden
Ferhat Khendek, Concordia University, Canada
Devin Parrish, Mirantis, USA
Daniel Migault, Ericsson Research, Canada
Erik Elmroth, Umeå University, Sweden
Stephan Schmid, Technical University of Berlin, Germany
Abdelouahed Gherbi, Ecole de Technology Superieure, Canada
Rami Bahsoon, Birmingham University, United Kingdom
Simin Nadjm-Tehrani, University of Linköping, Sweden
Geoffrey Lefebvre, Coho Data, Canada
Tereza Carvalho, University of Sao Paulo, Brazil