C
Cristina Cervello-Pastor
Researcher at Polytechnic University of Catalonia
Publications - 82
Citations - 1513
Cristina Cervello-Pastor is an academic researcher from Polytechnic University of Catalonia. The author has contributed to research in topics: Optical burst switching & Network topology. The author has an hindex of 16, co-authored 79 publications receiving 1298 citations. Previous affiliations of Cristina Cervello-Pastor include University of Ottawa & University of Massachusetts Dartmouth.
Papers
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Journal ArticleDOI
On the optimal allocation of virtual resources in cloud computing networks
Chrysa Papagianni,Aris Leivadeas,Symeon Papavassiliou,Vasilis Maglaris,Cristina Cervello-Pastor,Alvaro Monje +5 more
TL;DR: This paper first formulate the optimal networked cloud mapping problem as a mixed integer programming (MIP) problem, indicating objectives related to cost efficiency of the resource mapping procedure, and proposes a method for the efficient mapping of resource requests onto a shared substrate interconnecting various islands of computing resources.
Journal ArticleDOI
From Delay-Tolerant Networks to Vehicular Delay-Tolerant Networks
Paulo Rogério Pereira,Augusto Casaca,Joel J. P. C. Rodrigues,Vasco N. G. J. Soares,Joan Triay,Cristina Cervello-Pastor +5 more
TL;DR: An introductory overview of Vehicular Delay-Tolerant Networks is provided and some special issues like routing are addressed in the paper and an introductory description of applications and the most important projects is given.
Proceedings ArticleDOI
On the controller placement for designing a distributed SDN control layer
TL;DR: This work defines the principles for designing a scalable control layer for SDN, and shows the desired control layer characteristics that optimize the management of the network, and improves and evaluates the previous approach, the algorithm called k-Critical, and demonstrates the effectiveness of the solution.
Journal ArticleDOI
An ant-based algorithm for distributed routing and wavelength assignment in dynamic optical networks
TL;DR: Results on a partially meshed network like NSFNET show that the ant-based protocol outperforms other RWA algorithms under test in terms of blocking probability without worsening other metrics such as mean route length.
Journal ArticleDOI
Deep Learning at the Mobile Edge: Opportunities for 5G Networks
TL;DR: The state of the art for ML within mobile edge computing and the advances needed in automating adaptive resource allocation, mobility modeling, security, and energy efficiency for 5G networks are discussed.