SAMMClouds: Secure and Adaptive Management of Multi-Clouds

Project description The SAMMClouds project aims to address some of the open issues related to the Software as a Service (SaaS) and Infrastructure as a Service (IaaS) systems. Specifically, the research activities will focus on the study and proposal of innovative solutions with regard to three main issues: Monitoring and management of IaaS cloud e multi-cloud systems Resource management in SaaS multi-cloud systems Data protection and security in cloud systems Full project description (in Italian) is available for download. People Claudia Canali Riccardo Lancellotti Mirco Marchetti Luca Ferretti Fabio Pierazzi Mohammad Shojafar

Papers

• Claudia Canali, Riccardo Lancellotti, "A Correlation-based Methodology to Infer Communication Patterns between Cloud Virtual Machines", Proc. of 10th EAI International Conference on Performance Evaluation Methodologies and Tools (Valuetools) - InfQ Workshop, Taormina, Italy, 25-28 October 2016
• Mohammad Shojafar, Claudia Canali, Riccardo Lancellotti, Enzo Baccarelli, "Minimizing Computing-plus-Communication Energy Consumptions in Virtualized Networked Data Centers", Proc. of 21st IEEE Symposium on Computers and Communications (ISCC 2016), Messina, Italy, 27-30 June 2016
• Claudia Canali, Riccardo Lancellotti, "A Comparison of Techniques to Detect Similarities in Cloud Virtual Machines", Journal of Grid and Utility Computing, Vol. 7, No. 2, 2016
• Mohammad Shojafar, Claudia Canali, Riccardo Lancellotti, Saeid Abolfazli, "An Energy-aware Scheduling Algorithm in DVFS-enabled Networked Data Centers" (slides), Proc. of 6th International Conference on Cloud Computing and Services Science (CLOSER 2016), Rome, Italy, 23-25 April 2016
• Claudia Canali, Riccardo Lancellotti, "Parameter Tuning for Scalable Multi-Resource Server Consolidation in Cloud Systems", Journal of Communications Software and Systems (JCOMSS), Vol. 11, No. 4, Dec. 2015
• Claudia Canali, Riccardo Lancellotti, "Automatic Parameter Tuning for Class-Based Virtual Machine Placement in Cloud Infrastructures", Proc. of 23rd International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2015), Split, Croatia, 16-18 September 2015
• Claudia Canali, Riccardo Lancellotti, "A Class-based Virtual Machine Placement Technique for a Greener Cloud", Proc. of 4th Int'l Conference on Green It Solutions (ICGREEN 2015), Milano, 6 July 2015
• Claudia Canali, Riccardo Lancellotti, "Exploiting Classes of Virtual Machines for Scalable IaaS Cloud Management" (slides), Proc. of IEEE 4th Symposium on Network Cloud Computing and Applications (NCCA 2015), Munich, 11-12 June 2015
• Mohammad Shojafar, Claudia Canali, Riccardo Lancellotti, Jemal Abawajy, "Adaptive Computing-plus-Communication Optimization Framework for Multimedia Processing in Cloud Systems", IEEE Transactions on Cloud Computing, Pre-prints, 2016
• Claudia Canali, Riccardo Lancellotti, Scalable and Automatic Virtual Machines Placement based on Behavioral Similarities", To appear on Computing (Springer)
• Claudia Canali, Riccardo Lancellotti, "AGATE: Adaptive Gray Area-based TEchnique to Cluster Virtual Machines with Similar Behavior", To appear on IEEE Transactions on Cloud Computing