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iCanCloud: A Flexible and Scalable Cloud Infrastructure Simulator
- A. Núñez, J. L. Vázquez-Poletti, A. Caminero, G. Castañé, J. Carretero, I. Llorente
- Computer ScienceJournal of Grid Computing
- 1 March 2012
The iCanCloud simulator is introduced and validates, a novel simulator of cloud infrastructures with remarkable features such as flexibility, scalability, performance and usability, targeted to conduct large experiments.
Applying RCM in large scale systems: a case study with railway networks
Branch replication scheme: A new model for data replication in large scale data grids
New techniques for simulating high performance MPI applications on large storage networks
- A. Núñez, Javier Fernández, J. Sánchez, Félix García, J. Carretero
- Computer ScienceIEEE International Conference on Cluster…
- 31 October 2008
This work proposes new techniques to analyze the behavior, the performance, and specially the scalability of High Performance Computing applications on different computing architectures, and presents a new simulation framework, called SIMCAN, for HPC architectures.
Affinity P2P: A self-organizing content-based locality-aware collaborative peer-to-peer network
SIMCAN: A flexible, scalable and expandable simulation platform for modelling and simulating distributed architectures and applications
Estimating Energy Savings in Smart Street Lighting by Using an Adaptive Control System
- Soledad Escolar, J. Carretero, M. Marinescu, S. Chessa
- Computer ScienceInt. J. Distributed Sens. Networks
- 1 May 2014
This paper proposes an intelligent street light control system based on adaptive behavior rules and evaluates the approach by using a simulator which combines wireless sensor networks and belief-desire-intention agents to enable a precise simulation of both the city infrastructure and the adaptive behavior that it implements.
CLARISSE: A Middleware for Data-Staging Coordination and Control on Large-Scale HPC Platforms
- Florin Isaila, J. Carretero, R. Ross
- Computer Science16th IEEE/ACM International Symposium on Cluster…
- 16 May 2016
CLARISSE is the first middleware that decouples the policy, control, and data layers of the software I/O stack in order to simplify the task of globally coordinating the data staging on large-scale HPC platforms.
E-mc2: A formal framework for energy modelling in cloud computing
Energy management in solar cells powered wireless sensor networks for quality of service optimization
- Soledad Escolar, S. Chessa, J. Carretero
- Computer SciencePersonal and Ubiquitous Computing
- 1 February 2014
This work suggests sensor nodes to be programmed with alternative scheduling plans, each corresponding to a given energy requirement and meeting a given quality level, so that sensor nodes can select the scheduling plan that best suits to the expected energy production and the residual battery charge, in order to avoid sensor node unavailability.