Difference between revisions of "Alberto Gonzalez"

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| align="left"  | Prof. George Pavlou, University College London, UK (Opponent). Dr. Alexander Clemm, Cisco Systems, USA. Dr. Olivier Festor, INRIA, France. Assoc. Prof. Mads Dam, KTH, Sweden.
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| align="left"  | Prof. George Pavlou, University College London, UK (Opponent). <br>Dr. Alexander Clemm, Cisco Systems, USA. <br>Dr. Olivier Festor, INRIA, France. Assoc. <br>Prof. Mads Dam, KTH, Sweden.
  
 
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Latest revision as of 09:45, 18 May 2010

Summary
Student: Alberto Gonzalez
Title:- Adaptive Real-time Monitoring for Large-scale Networked Systems
e-mail: gonzalez@ee.kth.se
Affiliation: KTH
Supervisor: Rolf Stadler
Committee: Prof. George Pavlou, University College London, UK (Opponent).
Dr. Alexander Clemm, Cisco Systems, USA.
Dr. Olivier Festor, INRIA, France. Assoc.
Prof. Mads Dam, KTH, Sweden.
Start: 2002
End: 2008
Funding: EU Ambient Networks Project, EU 4WARD Project

Biography

Alberto Gonzalez is a postdoctoral researcher at KTH, the Royal Institute of Technology in Stockholm, Sweden. He received his M.Sc. in Electrical Engineering from the Universidad Politecnica de Cataluña, Spain and his Ph.D. in Telecommunication from KTH in 2008. His research interests include autonomic network management, management of large-scale networked systems, distributed network algorithms and real-time monitoring. He was an intern with NEC Network Laboratories (Heidelberg, Germany) in 2001, and with AT&T Research (Florham Park, NJ, USA) in 2007.

PhD project description

Large-scale networked systems, such as the Internet and server clusters, are omnipresent today. They increasingly deliver services that are critical to both businesses and the society at large, and therefore their continuous and correct operation must be guaranteed. Achieving this requires the realization of adaptive management systems, which continuously reconfigure such large-scale dynamic systems, in order to maintain their state near a desired operating point, despite changes in the networking conditions. The focus of this thesis is continuous real-time monitoring, which is essential for the realization of adaptive management systems in large-scale dynamic environments. Real-time monitoring provides the necessary input to the decision-making process of network management, enabling management systems to perform self-configuration and self-healing tasks. We have developed, implemented, and evaluated a design for real-time continuous monitoring of global metrics with performance objectives, such as monitoring overhead and estimation accuracy. Global metrics describe the state of the system as a whole, in contrast to local metrics, such as device counters or local protocol states, which capture the state of a local entity. Global metrics are computed from local metrics using aggregation functions, such as SUM, AVERAGE and MAX. Our approach is based on in-network aggregation, where global metrics are incrementally computed using spanning trees. Performance objectives are achieved through filtering updates to local metrics that are sent along that tree. A key part in the design is a model for the distributed monitoring process that relates performance metrics to parameters that tune the behavior of a monitoring protocol. The model allows us to describe the behavior of individual nodes in the spanning tree in their steady state. The model has been instrumental in designing a monitoring protocol that is controllable and achieves given performance objectives. We have evaluated our protocol, called A-GAP, experimentally, through simulation and testbed implementation. It has proved to be effective in meeting performance objectives, efficient, adaptive to changes in the networking conditions, controllable along different performance dimensions, and scalable. We have implemented a prototype on a testbed of commercial routers. The testbed measurements are consistent with simulation studies we performed for different topologies and network sizes. This proves the feasibility of the design, and, more generally, the feasibility of effective and efficient real-time monitoring in large network environments.

References

  1. A. Gonzalez Prieto and R. Stadler, “Adaptive Real-time Monitoring for Large-scale Networked Systems”, Dissertation Digest Session, 11th IFIP/IEEE International Symposium on Integrated Network Management (IM 2009), New York, USA, June 2009.
  2. A. Gonzalez Prieto and R. Stadler, "Controlling Performance Trade-offs in Adaptive Network Monitoring", 11th IFIP/IEEE International Symposium on Integrated Network Management (IM 2009), New York, USA, June 2009.
  3. A. Gonzalez Prieto, R.Stadler "A-GAP: An Adaptive Protocol for Continuous Network Monitoring with Accuracy Objectives", IEEE Transactions on Network and Service Management (TNSM), Vol. 4, No. 1, June 2007
  4. A. Gonzalez Prieto and R.Stadler, "Monitoring Flow Aggregates with Controllable Accuracy", submitted to the 10th IFIP/IEEE International Conference on Management of Multimedia and Mobile Networks and Services (MMNS 2007), San José, California, USA, October 2007
  5. A. Gonzalez Prieto and R.Stadler “Real-time Network Monitoring Supporting Percentile Error Objectives", 14th HP Software University Association (HP-SUA) Workshop, 8-11 July 2007, Munich, Germany
  6. A. Gonzalez Prieto, R. Stadler, P. Kersch, R. Szabo, G. Nunzi, M. Brunner and S. Schuetz, "Distributed Network Management for AN" , 16th IST Mobile and Wireless Communication Summit, Budapest, Hungary, July 1-5, 2007
  7. R. Ocampo, L. Cheng, K. Jean, A. Gonzalez Prieto, A. Galis, Z. Lai, "Towards a Context Monitoring System for Ambient Networks", Chinacom, Beijing, China, October 25-27, 2006
  8. A. Gonzalez Prieto and R.Stadler "Adaptive Distributed Monitoring with Accuracy Objectives", in the Proceedings of ACM SIGCOMM workshop on Internet Network Management (INM 06), Pisa, Italy, September 11, 2006
  9. A. Gonzalez Prieto: "Adaptive Management for Networked Systems", KTH, Licentiate Thesis, June 2006
  10. J. Nielssen, Z. Lajos Kis, A. Gonzalez Prieto, R.Stadler, M. Brunner, "Pattern-based Network Management for Ambient Networks", 15th IST Mobile and Wireless Communication Summit, Myconos, Greece, June 4-6, 2006
  11. A. Gonzalez Prieto and R.Stadler "Distributed Real-Time Monitoring with Accuracy Objectives", in the Proceedings of IFIP Networking, Coimbra, Portugal, May 15-19, 2006
  12. A. Gonzalez Prieto and R.Stadler "Design and Implementation of Performance Policies for SMS Systems", in the Proceedings of the 16th IFIP/IEEE Distributed Systems: Operations and Management (DSOM 2005), Barcelona, Spain, October 24-26, 2005
  13. M. Brunner, A. Galis, L. Cheng, J. Andres Colas, B. Ahlgren, A. Gunnar, H. Abrahamsson, R. Szabo, S. Csaba, J. Nielssen, A. Gonzalez Prieto, R.Stadler, G. Molnar, "Towards Ambient Networks Management", Second International Workshop on Mobility Aware Technologies and Applications (MATA 2005), Montreal, Canada, October 17-19, 2005.
  14. A. Gonzalez Prieto and R.Stadler, "Scalable Policy Distribution for Ambient Networks", 14th IST Mobile and Wireless Communication Summit, Dresden, Germany, June 19-23, 2005
  15. A. Gonzalez Prieto and R.Stadler "Policy-based Management for SMS Systems", RVK 2005, Linkoping, Sweden, June 14-16, 2005
  16. A. Gonzalez Prieto and R.Stadler "Evaluating a Congestion Management Architecture for SMS Gateways", 9th IFIP/IEEE International Symposium on Integrated Network Management (IM 2005), Nice, France, May 15-19, 2005 (poster)
  17. M. Brunner, A. Galis, L. Cheng, J. Andres Colas, B. Ahlgren, A. Gunnar, H. Abrahamsson, R. Szabo, S. Csaba, J. Nielssen, A. Gonzalez Prieto, R.Stadler, G. Molnar, "Ambient Networks Management Challenges and Approaches", First International Workshop on Mobility Aware Technologies and Applications (MATA 2004), Florianpolis, Brazil, October 20-22, 2004.
  18. A. Gonzalez Prieto, R. Cosenza and R.Stadler "Policy-based Congestion Management for an SMS Gateway ", in the Proceedings of the IEEE 5th International Workshop on Policies for Distributed Systems and Networks (POLICY 2004), Yorktown Heights, New York, June 7-9, 2004


External links