Проект Templet

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===== Разработка методов прогнозирования доступных вычислительных ресурсов в кластерных системах =====

Аспирант СГАУ: Артамонов Юрий

==== Постановка задачи ====

==== Актуальность ====

==== Методы решения ====

  * Модель EMMSP
  * Нейросетевые модели
  * Модели адаптивной селекции и композиции

==== Список литературы ====

  - How Effective are Neural Networks at Forecasting and Prediction? - Journal of Forecasting J. Forecast. 17, 481-495 (1998) 
  - Evaluation of a Workflow Scheduler Using Integrated Performance Modelling and Batch Queue Wait Time Prediction - SC '06 Proceedings of the 2006 ACM/IEEE conference on Supercomputing Article No. 119 (2006)
  - Predicting Bounds on Queuing Delay for Batch-scheduled Parallel Machines - PPoPP '06 Proceedings of the eleventh ACM SIGPLAN symposium on Principles and practice of parallel programming (2006)
  - QBETS: Queue Bounds Estimation from Time Series - Job Scheduling Strategies for Parallel Processing, 13th InternationalWorkshop, JSSPP 2007 Seattle,WA, USA, June 17, (2007)
  - Probabilistic Advanced Reservations for Batch-scheduled Parallel Machines - PPoPP '08 Proceedings of the 13th ACM SIGPLAN Symposium on Principles and practice of parallel programming (2008)
  - An Architecture for Resource Behavior Prediction to Improve Scheduling Systems Performance on Enterprise Desktop Grids, Advances in New Technologies, Interactive Interfaces and Communicability, Lecture Notes in Computer Science Volume 7547, 186-196 (2012) 
  -  Identifying Quick Starters: Towards an Integrated Framework for Efficient Predictions of Queue Waiting Times of Batch Parallel Jobs - Job Scheduling Strategies for Parallel Processing, 16th InternationalWorkshop, JSSPP 2012 Shanghai, China, May 25, (2012)
  - Web-Scale Job Scheduling - Job Scheduling Strategies for Parallel Processing, 16th InternationalWorkshop, JSSPP 2012 Shanghai, China, May 25, (2012)
  - Maximizing Utilization in Private IaaS Clouds with Heterogenous Load through Time Series Forecasting - International Journal on Advances in Systems and Measurements, vol 6 no 1 & 2 (2013)