M
Massimo Canonico
Researcher at University of Eastern Piedmont
Publications - 43
Citations - 700
Massimo Canonico is an academic researcher from University of Eastern Piedmont. The author has contributed to research in topics: Cloud computing & File transfer. The author has an hindex of 14, co-authored 43 publications receiving 619 citations.
Papers
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Proceedings ArticleDOI
Fault-aware scheduling for Bag-of-Tasks applications on Desktop Grids
TL;DR: A set of fault-aware scheduling policies that, rather than just tolerating faults as done by traditional fault-tolerant schedulers, exploit the information concerning resource availability to improve application performance and resource utilization are presented.
Journal ArticleDOI
Forensic analysis of Telegram Messenger on Android smartphones
TL;DR: The proposed methodology is able to identify all the artifacts generated by Telegram Messenger, to decode and interpret each one of them, and to correlate them in order to infer various types of information that cannot be obtained by considering each one in isolation.
Proceedings ArticleDOI
Energy-Efficient Resource Management for Cloud Computing Infrastructures
TL;DR: This paper proposes a framework to automatically manage computing resources of Cloud infrastructures in order to simultaneously achieve suitable QoS levels and to reduce as much as possible the amount of energy used for providing services.
Proceedings ArticleDOI
Scheduling algorithms for multiple Bag-of-Task applications on Desktop Grids: A knowledge-free approach
Cosimo Anglano,Massimo Canonico +1 more
TL;DR: The results show that, although there is no a clear winner among the proposed solutions, knowledge-free strategies (that is, strategies that do not require any information concerning the applications or the resources) can provide good performance.
Book ChapterDOI
Exploiting VM migration for the automated power and performance management of green cloud computing systems
TL;DR: This paper proposes a framework able to automatically manage resources of cloud infrastructures in order to simultaneously achieve suitable QoS levels and to reduce as much as possible the amount of energy used for providing services.