Publications supported by the TIN2012-31518 project

Academic Journals

1. A. Delgado-Peris, J.M. Hernandez, E. Huedo. Evaluation of alternatives for the broadcast operation in Kademlia under churn. Peer-to-Peer Networking and Applications, 9(2):313-327, 2016.
2. M. Sheikhalishahi, R.M. Wallace, L. Grandinetti, J.L. Vazquez-Poletti, F. Guerriero. A Multi-Dimensional Job Scheduling. Future Generation Computer Systems, 54:123-131, 2016.
3. I.M. Carrion, E. Huedo, I.M. Llorente. Interoperating grid infrastructures with the GridWay metascheduler. Concurrency and Computation: Practice and Experience, 27(9):2278-2290, 2015.
4. J.L. Lucas-Simarro, R. Moreno-Vozmediano, R.S. Montero, I.M. Llorente. Cost Optimization of Virtual Infrastructures in Dynamic Multi-Cloud Scenarios. Concurrency and Computation: Practice & Experience, 27(9):2260-2277, 2015.
5. M. Sheikhalishahi, L. Grandinetti, R.M. Wallace, J.L. Vazquez-Poletti. Autonomic Resource Contention Aware Scheduling. Software: Practice and Experience, 45(2):161-175, 2015.
6. R. Mian, P. Martin, F. Zulkernine, J.L. Vazquez-Poletti. Cost-Effective Resource Configurations for Multi-Tenant Database Systems in Public Clouds. International Journal of Cloud Applications and Computing. IGI Global, 5(2):1-22, 2015.
7. A.J. Rubio-Montero, F. Castejon, E. Huedo, R. Mayo-Garcia. A novel pilot job approach for improving the execution of distributed codes: application to the study of ordering in collisional transport in fusion plasmas. Concurrency and Computation: Practice and Experience, 27(13):3220-3244, 2015.
8. A.J. Rubio-Montero, E. Huedo, F. Castejon, R. Mayo-Garcia. GWpilot: Enabling multi-level scheduling in distributed infrastructures with GridWay and pilot jobs. Future Generation Computer Systems, 45:25-52, 2015.
9. G.D. Guerrero, R.M. Wallace, J.L. Vazquez-Poletti, J.M. Cecilia, J.M. Garcia, D. Mozos, H. Perez-Sanchez. A Performance/Cost Model for a CUDA Drug Discovery Application on Physical and Public Cloud Infrastructures. Concurrency and Computation: Practice and Experience, Wiley(10):1787-1798, 2014.
10. M.T Higuera Toledano, Andy J. Wellings. Introduction to the Special Issue on Java Technologies for Real-Time and Embedded Systems: JTRES 2012. Concurrency and Computation: Practice and Experience, 26(14), 2014.
11. R.M. Wallace, P. Martin, J.L. Vazquez-Poletti. Regulated Condition-Event Matrices for Cloud Environments. Scalable Computing: Practice and Experience, 15(2):169-185, 2014.
12. D. Tapiador, W. O'Mullane, A.G.A. Brown, X. Luri, E. Huedo, P. Osuna. A framework for building hypercubes using MapReduce. Computer Physics Communications, 185(5):1429-1438, 2014.
13. Anders P. Ravn, M.T Higuera Toledano. Introduction to the special issue on Java technologies for real-time and embedded systems: JTRES2011. Concurrency and Computation: Practice and Experience, 25(16):2225-2226, 2013.
14. M. Rodriguez-Pascual, R. Mayo-Garcia, I.M. Llorente. Montera: a framework for efficient execution of Monte Carlo codes on Grid Infrastructures. Computing and Informatics, 32:113-144, 2013. download
15. J.L. Vazquez-Poletti, R. Moreno-Vozmediano, R.S. Montero, E. Huedo, I.M. Llorente. Solidifying the Foundations of the Cloud for the Next Generation Software Engineering. Journal of Systems and Software, 86(9):2321-2326, 2013.
16. V. Turchenko, V. Shultz, I. Turchenko, R.M. Wallace, M. Sheikhalishahi, J.L. Vazquez-Poletti, L. Grandinetti. Spot Price Prediction for Cloud Computing using Neural Networks. International Journal of Computing, 12(4):348-359, 2013.

Book Chapters

1. J.L. Lucas-Simarro, I. San Aniceto, R. Moreno-Vozmediano, R. S. Montero, I.M. Llorente. A Cloud Broker Architecture for Multicloud Environments. In Large Scale Network-Centric Distributed Systems, A. Y. Zomaya H. Sarbazi-Azad (ed.), Chap. 15, John Wiley & Sons, Inc, 2014.
2. J.L. Vazquez-Poletti, R. Moreno-Vozmediano, I.M. Llorente. Admission Control in the Cloud: Algorithms for SLA-Based Service Model. In Handbook of Research on Architectural Trends in Service-Driven Computing, R. Ramanathan, K. Raja (Eds.) (eds.), Chap. 28, IGI Global, 2014.
3. J.L. Vazquez-Poletti, R.S. Montero, I.M. Llorente. Cloud Computing and Big Data. In Handbook of Research on Architectural Trends in Service-Driven Computing, R. Ramanathan, K. Raja (eds.) (eds.), Chap. 28, IGI Global, 2014.

International Conferences

1. A. J. Rubio-Montero, E. Huedo, R. Mayo-García. User-guided provisioning in federated clouds for distributed calculations. In 2nd Intl. Workshop on Adaptive Resource Management and Scheduling for Cloud Computing (ARMS-CC 2015), 35th ACM Symp. Principles of Distributed Computing (PODC 2015), LNCS, Volume 9438, Pages 60-77, 2015.
2. J.L. Vazquez-Poletti, S. Santos-Muñoz, I.M. Llorente, F. Valero. A Cloud for Clouds: Weather Research and Forecasting on a Public Cloud Infrastructure. In Intl. Conf. Cloud Computing and Services Science (CLOSER 2016), Cloud Computing and Services Sciences, Volume 512, Pages 3-11, 2015.
3. R. Han, J. Wang, F. Ge, J.L. Vazquez-Poletti, J. Zhan. SARP: producing approximate results with small correctness losses for cloud interactive services. In 12th ACM International Conference on Computing Frontiers (CF'15), 2015.
4. Rui Han, Junwei Wang, Siguang Huang, Chenrong Shao, Shulin Zhan, Jianfeng Zhan, J.L. Vazquez-Poletti. PCS: Predictive Component-level Scheduling for Reducing Tail Latency in Cloud Online Services. In 44th International Conference on Parallel Processing (ICPP 2015), Pages 490-499, 2015.
5. R. Han, J. Wang, S. Huang, C. Shao, S. Zhan, J. Zhan, J.L. Vazquez-Poletti. Interference-Aware Component Scheduling for Reducing Tail Latency in Cloud Interactive Services. In 35th IEEE International Conference on Distributed Computing Systems (ICDCS 2015), Pages 744-745, 2015.
6. R. Moreno-Vozmediano, E. Huedo, I.M. Llorente, R. S. Montero, P. Massonet, M. Villari, G. Merlino, A. Celesti, A. Levin, L. Schour, C. Vazquez, J. Melis, S. Spahr, D. Whigham. BEACON: A Cloud Network Federation Framework. In Intl. Workshop on Federated Cloud Networking, 4th European Conf. Service-Oriented and Cloud Computing (ESOCC 2015), Communications in Computer and Information Science, Volume 567, 2015.
7. G. Gorbil, D. Garcia Perez, E. Huedo. Principles of Pervasive Cloud Monitoring. In 29th Annual Symposium on Computer and Information Sciences (ISCIS 2014), 2014.
8. L. Iacono, J.L. Vazquez-Poletti, C. García Garino, I.M. Llorente. A Model to Calculate Amazon EC2 Instance Performance in Frost Prediction Applications. In 1st HPCLATAM-CLCAR Joint Conference (CARLA2014), Volume 485, Pages 68-82, 2014.
9. J.L. Lucas-Simarro, R. Moreno-Vozmediano, F. Desprez, J. Rouzaud-Cornabas. Image Transfer and Storage Cost Aware Brokering Strategies for Multiple Clouds. In 2014 IEEE International Conference on Cloud Computing, CLOUD'14, Pages 737-744, 2014.
10. M. Sheikhalishahi, Richard M. Wallace, L. Grandinetti, J.L. Vazquez-Poletti, Francesca Guerriero. A Multi-Capacity Queuing Mechanism in Multi-Dimensional Resource Scheduling. In International Workshop on Adaptive Resource Management and Scheduling for Cloud Computing (ARMS-CC), ACM Symposium on Principles of Distributed Computing (PODC 2014), Volume 8907, 2014.
11. M.T Higuera Toledano. Building the Java Heap with Bricks in an Embedded Real-Time Environment. In 8th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, Pages 57-66, 2014.
12. A.D. Peris, J. Hernandez, E. Huedo. Distributed scheduling and data sharing in late-binding overlays. In Intl. Conf. High Performance Computing and Simulation (HPCS 2014), 2014.
13. R. Mian, P. Martin, F. Zulkernine, J.L. Vazquez-Poletti. Towards building performance models for data-intensive workloads in public clouds. In 4th ACM/SPEC International Conference on Performance Engineering, ICPE '13, Pages 259-270, 2013. download
14. M.T Higuera Toledano. Object representation model for a cache memory in a real-time Java environment. In 16th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, Pages 1-8, 2013.
15. R.M. Wallace, V. Turchenko, M. Sheikhalishahi, I. Turchenko, V. Shults, J.L. Vazquez-Poletti, Lucio Grandinetti. Applications of Neural-based Spot Market Prediction for Cloud Computing. In 7th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS'2013), Volume 02, Pages 710-716, 2013.

Research Reports

1. R. Mian, P. Martin, F. Zulkernine, J.L. Vazquez-Poletti. Estimating Resource Costs of Executing Data-Intensive Workloads in Public Clouds. Research Report Queen's University Research Report 2013-613, No 3, 2013.

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