Federate Migration in HLA-Based Simulation

Yuan, Zijing; Cai, Wentong; Low, Malcolm Yoke Hean; Turner, Stephen J.

doi:10.1007/978-3-540-24688-6_110

Cited by 16 publications

(9 citation statements)

References 11 publications

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“…To achieve workload balance, federates [Yuan et al 2004; or their SMEs [Bononi et al 2006] are migrated between computers. However, these migration protocols require recoding federates to provide state-saving and restoration functions and to enable communication redirection.…”

Section: Related Workmentioning

confidence: 99%

Adaptive Resource Provisioning Mechanism in VEEs for Improving Performance of HLA-Based Simulations

Cai

Turner

et al. 2015

ACM Trans. Model. Comput. Simul.

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Parallel and distributed simulations (or High-Level Architecture (HLA)-based simulations) employing optimistic synchronization allow federates to advance simulation time freely at the risk of overoptimistic executions and execution rollbacks. As a result, the simulation performance may degrade significantly due to the simulation workload imbalance among federates. In this article, we investigate the execution of parallel and distributed simulations on Cloud and data centers with Virtual Execution Environments (VEEs). In order to speed up simulation execution, an Adaptive Resource Provisioning Mechanism in Virtual Execution Environments (ArmVee) is proposed. It is composed of a performance monitor and a resource manager. The former measures federate performance transparently to the simulation application. The latter distributes available resources among federates based on the measured federate performance. Federates with different simulation workloads are thus able to advance their simulation times with comparable speeds, thus are able to avoid wasting time and resources on overoptimistic executions and execution rollbacks. ArmVee is evaluated using a real-world simulation model with various simulation workload inputs and different parameter settings. The experimental results show that ArmVee is able to speed up the simulation execution significantly. In addition, it also greatly reduces memory usage and is scalable.

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Section: Related Workmentioning

confidence: 99%

Adaptive Resource Provisioning Mechanism in VEEs for Improving Performance of HLA-Based Simulations

Cai

Turner

et al. 2015

ACM Trans. Model. Comput. Simul.

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“…The interest in IEEE 1516 has been initially very strong and it is still fundamental for interoperability and reusability of simulators. Despite of this, some drawbacks have been reported: the software architecture required by HLA [35], the lack of interoperability among different implementations [36], its complexity and steep learning curve [37] and, in some cases, poor execution time [38]. Table 1 shows some of the available (full or partial) implementations of the HLA specification.…”

Section: Software Toolsmentioning

confidence: 99%

“…Before attempting to address these limitations, it is important to realize that there is no "silver bullet", i.e., no single solution that addresses them all in a comprehensive and coherent way. The last attempt to obtain a "one size fits all" approach to PADS resulted in the the IEEE 1516 standard [33] that, as we mentioned, attracted several criticisms due to its complexity and limitations [35,36,37,38].…”

Section: The Quest For Adaptivitymentioning

confidence: 99%

New trends in parallel and distributed simulation: From many-cores to Cloud Computing

D’Angelo

Marzolla

2014

Simulation Modelling Practice and Theory

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Recent advances in computing architectures and networking are bringing parallel computing systems to the masses so increasing the number of potential users of these kinds of systems. In particular, two important technological evolutions are happening at the ends of the computing spectrum: at the "small" scale, processors now include an increasing number of independent execution units (cores), at the point that a mere CPU can be considered a parallel shared-memory computer; at the "large" scale, the Cloud Computing paradigm allows applications to scale by offering resources from a large pool on a pay-as-you-go model. Multi-core processors and Clouds both require applications to be suitably modified to take advantage of the features they provide. Despite laying at the extreme of the computing architecture spectrum -multi-core processors being at the small scale, and Clouds being at the large scale -they share an important common trait: both are specific forms of parallel/distributed architectures. As such, they present to the developers well known problems of synchronization, communication, workload distribution, and so on. Is parallel and distributed simulation ready for these challenges? In this paper, we analyze the state of the art of parallel and distributed simulation techniques, and assess their applicability to multi-core architectures or Clouds. It turns out that most of the current approaches exhibit limitations in terms of usability and adaptivity which may hinder their application to these new computing architectures. We propose an adaptive simulation mechanism, based on the multi-agent system paradigm, to partially address some of those limitations. While it is unlikely that a single approach will work well on both settings above, we argue that the proposed adaptive mechanism has useful features which make it attractive both in a multi-core processor and in a Cloud system. These features include the ability to reduce communication costs by migrating simulation components, and the support for adding (or removing) nodes to the execution architecture at runtime. We will also show that, with the help of an additional support layer, parallel and distributed simulations can be executed on top of unreliable resources.

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“…But their mechanisms are all direct combinations of MAS and certain DSS architectures. Some researchers design new mechanisms in DSS, however, their results focus on "dynamic load distribution" [11][12] [13]. The migration mechanism of a federate, for example, could not be fit for deciding the behavior of CUs for following reasons:…”

Section: Related Workmentioning

confidence: 99%

Efficient migration mechanism for computing units based on mobile agent in distributed simulation system

Shuai

et al. 2009

2009 ISECS International Colloquium on Computing, Communication, Control, and Management

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Traditional Mobile Agent (MA) migration mechanisms focus mainly on asynchronous distributed system, and thus encapsulate the whole migration process into an inseparable action. The lack of consideration of Time-Space Consistency makes Mobile Agent System (MAS) necessary to be under the control of certain high level architecture (like HLA) in Distributed Simulation Systems (DSS). However, the scheme imports migration latency which is unbearable to those systems with strict restrains on real-time performance. By utilizing the decision ability of the task execution agent, the migration granularity can be decided based on the exact task. Then the better efficient migration scheme can be chosen to meet the synchronous requirement and then decrease the migration latency. Contrast experiment is done and the new mechanism performs better time-efficiency in most conditions. This means that the intelligence of mobile agents can contribute to the migration mechanism details and boost the general performance.

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Federate Migration in HLA-Based Simulation

Cited by 16 publications

References 11 publications

Adaptive Resource Provisioning Mechanism in VEEs for Improving Performance of HLA-Based Simulations

Adaptive Resource Provisioning Mechanism in VEEs for Improving Performance of HLA-Based Simulations

New trends in parallel and distributed simulation: From many-cores to Cloud Computing

Efficient migration mechanism for computing units based on mobile agent in distributed simulation system

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