@article {146.DeDiFi11.IJRC,
	title = {A Middleware Approach to Achieving Fault-tolerance of Kahn Process Networks on Networks-on-Chips},
	journal = {International Journal of Reconfigurable Computing},
	volume = {2011},
	number = {Article ID 295385},
	year = {2011},
	note = {Selected Papers from the International Workshop on Reconfigurable Communication-centric Systems on Chips (ReCoSoC{\textquoteright} 2010)},
	month = {February},
	pages = {14 pages},
	publisher = {Hindawi},
	abstract = {Kahn process networks (KPN) is a distributed model of computation used for describing systems where streams of data are transformed by processes executing in sequence or parallel. Autonomous processes communicate through unbounded FIFO channels in absence of a global scheduler. In this work, we propose a task-aware middleware concept that allows adaptivity in KPN implemented over a Network-on-Chip (NoC). We also list our ideas on the development of a simulation platform as an initial step towards creating fault-tolerance strategies for KPNs applications running on NoCs. In doing that, we extend our SACRE (Self-adaptive Component Run-time Environment) framework by integrating it with an open source NoC simulator, Noxim. We evaluate the overhead that the middleware brings to the the total execution time and to the total amount of data transferred in the NoC. With this work, we also provide a methodology that can help in identifying the requirements and implementing fault tolerance and adaptivity support on real platforms.},
	keywords = {fault tolerance, kahn process networks (KPN), middleware, network-on-chip (NoC), self-adaptivity},
	issn = {1687-7195},
	doi = {doi:10.1155/2011/295385},
	author = {Derin, Onur and Diken, Erkan and Fiorin, Leandro}
}
@conference {136.FiPaSi10,
	title = {A Monitoring System for NoCs},
	booktitle = {Proceedings of the Third International Workshop on Network on Chip Architectures (NoCArc{\textquoteright}2010)},
	year = {2010},
	month = {December},
	address = {Atlanta, Georgia, USA},
	abstract = {In this paper, we propose and discuss a monitoring architecture for Networks-on-Chip (NoCs) that provides system information useful for helping designers in efficiently exploiting resources available in new complex Multiprocessor System-on-Chip (MPSoC) platforms, and in understanding their behavior. We focus on the analysis of the architectural details and design challenges of such systems, by describing power- ful tools for detecting information that can be used both at run-time for detecting dynamic changes in system behavior and at post-execution time for debugging and profiling of applications. We detail the design of the probes monitoring the events and discuss an architecture for collection, storage, and analysis of information generated by them. We evaluate cost of the implementation of the system in terms of area and traffic overhead, and we present results obtained when monitoring a use-case multimedia application.},
	keywords = {hardware counters, network-on-chip (NoC), performance monitoring, system-on-chip (SoC)},
	author = {Fiorin, Leandro and Palermo, Gianluca and Silvano, Cristina}
}
@conference {95.FiPaSi09,
	title = {MPSoCs Run-Time Monitoring through Networks-on-Chip},
	booktitle = {The 2009 Conference on Design, Automation and Test In Europe (DATE{\textquoteright}09)},
	year = {2009},
	month = {April/2009},
	address = {Nice, France},
	abstract = {Networks-on-Chip (NoCs) have appeared as design strategy to overcome the limitations, in terms of scalability, efficiency, and power consumption of current buses. In this paper, we discuss the idea of using NoCs to monitor system behaviour at run-time by tracing activities at initiators and targets. Main goal of the monitoring system is to retrieve information useful for run-time optimization and resources allocation in adaptive systems. Information detected by probes embedded within NIs is sent to a central unit, in charge of collecting and elaborating the data. We detail the design of the basic blocks and analyse the overhead associated with the ASIC implementation of the monitoring system, as well as discussing implications in terms of the additional traffic generated in the NoC.},
	keywords = {monitoring, network-on-chip (NoC)},
	author = {Fiorin, Leandro and Palermo, Gianluca and Silvano, Cristina}
}
