Hector duran limon
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The LA Grid Initiative aims to develop collaboration and technology for hurricane mitigation through education, research, and talent development using high performance computing. It has helped develop collaboration networks and technology for disaster prediction since 2006. Better prediction models are needed to generate evacuation plans with finer-grained and timely predictions that can leverage federated computing resources like grids and clouds. The Weather Research and Forecasting model portal provides on-demand runs for meteorologists but performance must be increased for cloud computing. Challenges include supporting application-agnostic and platform-independent performance prediction for multicore and virtualized environments.
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Mobile : +91-9500218218 / 8220150373| land line- 0416- 3552723
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Mobile : +91-9500218218 / 8220150373| land line- 0416- 3552723
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Email : info@shakastech.com | shakastech@gmail.com |
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Need support for writing/creating paper review?
Send me a message at my LinkedIn.
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Presented Nov 30, 2015, at First IEEE Workshop of Quality of Service Assurance in the Cloud (QAC’2015), co-located with IEEE CloudCom.
© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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3. Different cloud platforms offer varying levels of control over software stacks and automation of scaling and failover, with tradeoffs between flexibility and managed services.
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The document summarizes LU ITS' response to identified risks and concerns from a TSUS IT auditor. LU ITS acknowledges risks involving data center constraints and outlines steps taken to address them, such as moving some systems to offsite hosting. The response also provides clarification on delays in areas like retiring legacy systems, reducing operating environments, and establishing security policies and programs. It indicates that work is ongoing to comply with standards and remediate issues.
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In this study, a mobile cloud offloading system has been developed to decide that a process run on the cloud or on the mobile platform. A context-aware decision algorithm has been developed. The low performance and problem of battery consumption of mobile devices have been fundamental challenges on the mobile computing. To overcome this kind of challenges, recent advances towards mobile cloud computing propose a selective mobile-to-cloud offloading service by moving a mobile application from a slow mobile device to a fast server in the cloud during run time. Determine whether a process running on cloud or not is an important issue. Power consumption and time limits are vitally important for decision. In this study we used PowerTutor application which is a dynamic power measurement modelling tool. Another important factor is the process completion time. Calculate the power consumption is very difficult
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encourage many organizations to move to this technology. But many consideration faces transmission
process. This paper outline some of these considerations and considerable efforts solved cloud scalability
issues.
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Leonid sheremetov
This document summarizes a presentation about high performance computing (HPC) in the petroleum industry given by Dr. Leonid Sheremetov of the Mexican Petroleum Institute (IMP). It outlines the challenges of HPC in petroleum exploration and production. It provides an overview of IMP's research program in applied mathematics and computing, including their use of HPC. It then summarizes several of IMP's research projects applying HPC to problems in petroleum such as reservoir simulation, data mining of petroleum data, and distributed computing applications.
Celso garrido
1) The document discusses how high-performance computing (HPC) can drive innovation by allowing firms to manage risks through modeling, simulation, and analytics.
2) HPC provides powerful tools like distributed computing, virtualization, and graphics processing units that can lower costs and accelerate processes like design, testing, and production.
3) For HPC to fully enable innovation, barriers like skills gaps and viewing HPC as only a cost must be addressed, and HPC use should be considered within a national innovation system framework involving collaboration between public and private sectors.
Gerardo zavala guzman
The document summarizes the MINERvA experiment. It discusses (1) the MINERvA collaboration of over 120 physicists from 22 institutions in 7 countries, (2) the goals and components of the MINERvA detector located at Fermilab, and (3) the current status and timeline of the experiment, including accumulated neutrino and antineutrino data.
Andrey tchernykh
This document discusses the history and current state of high-performance computing (HPC) in Mexico. It outlines Mexico's first computer installation in 1958 and shows how the country has progressed, with Mexican universities and research centers appearing regularly in the Top 500 list since the 1990s. The document also examines HPC application areas in Mexico across various industries and concludes by emphasizing the importance of green computing practices like efficient algorithms, virtualization, and recycling to reduce environmental impact.
Agustin garcia reynoso
This document discusses air quality modeling using a high performance computing (HPC) system in Mexico. It describes the HPC system consisting of master and slave nodes used for air quality forecasting and climate change modeling. The system is used to model ozone levels and particulate matter for forecasting as well as evaluate the impacts of climate change and additional emissions sources on air quality in Mexico. Future work includes improving model nesting, dynamic emissions modeling, and leveraging new HPC technologies and parallel software.
Jf lavignon
1) Extreme computing poses major challenges for suppliers related to concurrency, energy usage, data management, and system resiliency as systems increase in size and complexity.
2) International cooperation is necessary to address these challenges as no single organization has a complete solution.
3) Bull promotes cooperation through partnerships, joint R&D labs, co-design with customers, and involvement in European programs like Systematic, Eureka, and FP7 to foster innovation.
Leonid sheremetov
The document summarizes a presentation about high performance computing applications in the petroleum industry given by Dr. Leonid Sheremetov of the Mexican Petroleum Institute. It discusses the challenges of exploration and production for PEMEX and outlines IMP's research program including grid-based simulation, data mining, and task optimization on clusters and desktop grids. Specific applications mentioned include reservoir simulation, seismic analysis, data mining of production data, electron microscopy, and a data mining project between IMP and other Mexican institutions.
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Visit: https://www.mydbops.com/
Follow us on LinkedIn: https://in.linkedin.com/company/mydbops
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Hector duran limon
- 1. Natural Disaster Mitigation: The LA Grid Initiative Héctor A. Durán-Limón, University of Guadalajara
- 2. Content LA Grid Initiative Disaster Mitigation Needs The WRF Web Portal: A case example Challenges ahead Conclusions
- 4. LA Grid
- 5. LA Grid Initiative Main Goals Education Research Collaboration Talent development Strategy: High impact areas Hurricane mitigation Health care
- 6. LA Grid Initiative The main outcome so far since 2006 Talent development Collaboration network Technology development for disaster mitigation
- 8. Disaster Mitigation Needs We have faced devastating disasters in the last years Tsunamis Japan 2011 Indonesia and Thailand 2004 Earthquakes Haiti 2010 China 2010 Chile 2010 Hurricanes Katrina August 2005 Wilma October 2005
- 9. Disaster Mitigation Needs Better prediction capacity is required to generate better evacuation plans Finer grained predictions Specific geographical area Predictions should be obtained in time Federated support vs Centralised support
- 10. Disaster Mitigation Needs Prediction models usually require a large amount of computing power Grid and Cloud Computing can potentially bring more power than Clusters
- 11. The WRF Web Portal: A case example
- 12. The WRF Web Portal The Weather Research and Forecasting (WRF) Gaining acceptance as one of the best models Can also be used to predict evolution of forest fires and predict air pollution However, demands a huge amount of CPU power
- 13. The WRF Web Portal WRF Web Portal On demand runs of WRF Available for meteorologist of all Mexican States Support for: More accurate weather prediction on a local area Research on meteorology Private cloud computing environment Challenge Increase performance while retain benefits of cloud computing environment
- 14. Challenges
- 15. Cloud Computing and HPC Examples of HPC applications include: Weather Forecasting Quantum Chemistry Calculations Accelerator Modelling Astrophysical Simulations This kind of Apps have huge demands of computing resources Traditionally supported by cluster- or Grid-based systems
- 16. Cloud Computing and HPC Has experienced a tremendous growth recently Offers a number of advantages over other distributed paradigms. Access to resources is Flexible cost-effective. No need to pay large amount of money for Infrastructure Salaries for maintenance functions The possibility of using Cloud computing for HPC Apps is attractive
- 17. Cloud Computing and HPC Current cloud computing platforms are not suitable for running some of these applications The performances offered is very poor due to the extensive use of virtualisation The performance is specially degraded when there is a huge amount of IO operations No guarantees for QoS (i.e. execution time) can be offered
- 18. Performance Prediction Allows for Capacity planning Helps to establish and maintain a Service Level Agreement (SLA) Most approaches either focus on a specific application a specific platform configuration
- 19. Performance Prediction Need for supporting the following characteristics Application agnostic Platform configuration independency Multicore systems Virtualised environments
- 20. Conclusions We presented the LA Grid initiative We have identified some needs in natural disaster mitigation The WRF Web Portal case example was presented Some challenges were outlined
- 21. Thank you! Hector Duran-Limon University of Guadalajara, Mexico hduran@cucea.udg.mx http://maestro.cucea.udg.mx/~hduran/