@article{(Open Science Index):https://publications.waset.org/pdf/10007151,
	  title     = {Increasing the Resilience of Cyber Physical Systems in Smart Grid Environments using Dynamic Cells},
	  author    = {Andrea Tundis and  Carlos García Cordero and  Rolf Egert and  Alfredo Garro and  Max Mühlhäuser},
	  country	= {},
	  institution	= {},
	  abstract     = {Resilience is an important system property that relies
on the ability of a system to automatically recover from a degraded
state so as to continue providing its services. Resilient systems have
the means of detecting faults and failures with the added capability of
automatically restoring their normal operations. Mastering resilience
in the domain of Cyber-Physical Systems is challenging due to the
interdependence of hybrid hardware and software components, along
with physical limitations, laws, regulations and standards, among
others. In order to overcome these challenges, this paper presents a
modeling approach, based on the concept of Dynamic Cells, tailored
to the management of Smart Grids. Additionally, a heuristic algorithm
that works on top of the proposed modeling approach, to find resilient
configurations, has been defined and implemented. More specifically,
the model supports a flexible representation of Smart Grids and
the algorithm is able to manage, at different abstraction levels, the
resource consumption of individual grid elements on the presence of
failures and faults. Finally, the proposal is evaluated in a test scenario
where the effectiveness of such approach, when dealing with complex
scenarios where adequate solutions are difficult to find, is shown.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {11},
	  number    = {1},
	  year      = {2017},
	  pages     = {125 - 136},
	  ee        = {https://publications.waset.org/pdf/10007151},
	  url   	= {https://publications.waset.org/vol/121},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 121, 2017},
	}