Dynamic load balancing of a multi-cluster simulator on a network of workstations
PADS '95 Proceedings of the ninth workshop on Parallel and distributed simulation
Background execution of time warp programs
PADS '96 Proceedings of the tenth workshop on Parallel and distributed simulation
Dynamic load balancing strategies for conservative parallel simulations
Proceedings of the eleventh workshop on Parallel and distributed simulation
Dynamic load balancing in parallel discrete event simulation for spatially explicit problems
PADS '98 Proceedings of the twelfth workshop on Parallel and distributed simulation
Experiments in load migration and dynamic load balancing in SPEEDES
Proceedings of the 30th conference on Winter simulation
On learning algorithms and balancing loads in Time Warp
PADS '99 Proceedings of the thirteenth workshop on Parallel and distributed simulation
On Process Migration and Load Balancing in Time Warp
IEEE Transactions on Parallel and Distributed Systems
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
Dynamic Load-Balancing for BSP Time Warp
SS '02 Proceedings of the 35th Annual Simulation Symposium
A Flexible Dynamic Partitioning Algorithm for Optimistic Distributed Simulation
Proceedings of the 21st International Workshop on Principles of Advanced and Distributed Simulation
Federate Migration in a Service Oriented HLA RTI
DS-RT '07 Proceedings of the 11th IEEE International Symposium on Distributed Simulation and Real-Time Applications
Optimized Federate Migration for Large-Scale HLA-Based Simulations
DS-RT '08 Proceedings of the 2008 12th IEEE/ACM International Symposium on Distributed Simulation and Real-Time Applications
DS-RT '09 Proceedings of the 2009 13th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications
EuroPar'10 Proceedings of the 16th international Euro-Par conference on Parallel processing: Part I
Forecast to Textile and Garment Exports Based on Holt Model
ISME '10 Proceedings of the 2010 International Conference of Information Science and Management Engineering - Volume 01
Distributed dynamic balancing of communication load for large-scale HLA-based simulations
ISCC '10 Proceedings of the The IEEE symposium on Computers and Communications
Predictive Dynamic Load Balancing for Large-Scale HLA-based Simulations
DS-RT '11 Proceedings of the 2011 IEEE/ACM 15th International Symposium on Distributed Simulation and Real Time Applications
Data Mining Algorithms and Statistical Analysis for Sales Data Forecast
CSO '12 Proceedings of the 2012 Fifth International Joint Conference on Computational Sciences and Optimization
Hi-index | 0.00 |
Due to the dependency of HLA-Based distributed simulations on the resources of distributed environments, simulations can face load imbalances and can suffer from low performance in terms of execution time. High-Level Architecture (HLA) is a framework that simplifies the implementation of distributed simulations, and, it has been built with dedicated resources in mind. As technology is nowadays shifting towards shared resources, the following two weaknesses have become apparent in HLA: managing federates and reacting towards load imbalances on shared resources. Moreover, a number of dynamic load management systems have been designed in order to provide a solution to enable a balanced simulation environment on shared resources. These systems use some specific techniques depending on certain simulation or load aspects, to perform the balancing task. Load prediction is one such technique that improves load redistribution heuristics by preventing load imbalances. In this work, we present a number of enhancements for a prediction technique and compare their efficiency. The proposed enhancements solve observed problems with Holt's implementations on dynamic load balancing systems for HLA-Based distributed simulations and provide better forecasting. As a result, these enhancements provide better forecasting for the load of the shared resources.