Load Prediction in HLA-Based Distributed Simulation Using Holt's Variants

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...

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Bibliographic Details
Published in:2013 IEEE/ACM 17th International Symposium on Distributed Simulation and Real Time Applications pp. 161 - 168
Main Authors: Alkharboush, Raed, De Grande, Robson Eduardo, Boukerche, Azzedine
Format: Conference Proceeding
Language:English
Published: IEEE 01.10.2013
Subjects:
Exponential Weighted Moving Average
Frequency modulation
High Level Architecture
Holt's model
Load Balancing
Real-time systems
ISSN:1550-6525
Online Access:Get full text
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Summary: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.
ISSN:1550-6525
DOI:10.1109/DS-RT.2013.25