Deriving Feasible Deployment Alternatives for Parallel and Distributed Simulation Systems

Abstract

Parallel and distributed simulations (PADS) realize the distributed execution of a simulation system over multiple physical resources. To realize the execution of PADS, different simulation infrastructures such as HLA, DIS and TENA have been defined. Recently, the Distributed Simulation Engineering and Execution Process (DSEEP) that supports the mapping of the simulations on the infrastructures has been defined. An important recommended task in DSEEP is the evaluation of the performance of the simulation systems at the design phase. In general, the performance of a simulation is largely influenced by the allocation of member applications to the resources. Usually, the deployment of the applications to the resources can be done in many different ways. DSEEP does not provide a concrete approach for evaluating the deployment alternatives. Moreover, current approaches that can be used for realizing various DSEEP activities do not yet provide adequate support for this purpose. We provide a concrete approach for deriving feasible deployment alternatives based on the simulation system and the available resources. In the approach, first the simulation components and the resources are designed. The design is used to define alternative execution configurations, and based on the design and the execution configuration; a feasible deployment alternative can be algorithmically derived. Tool support is developed for the simulation design, the execution configuration definition and the automatic generation of feasible deployment alternatives. The approach has been applied within a large-scale industrial case study for simulating Electronic Warfare systems.

Systematic Approach for Generation of Feasible Deployment Alternatives for Microservices

“…When the studies in the literature are examined, it is seen that a deployment approach considering the communication parameters of microservices, memory capacities, execution costs on nodes is not available. In [10], conducted by an author involved in our study, a deployment approach has been proposed for parallel and distributed systems, and tool support [9] to examine this approach has been developed. This approach has also been implemented for Data Distribution Service-based systems [34].…”

Generation of feasible deployment configuration alternatives for Data Distribution Service based systems

“…In this work, we have focused on the allocation problem that is directly focused on the DDS domain. In our early work, we have provided an approach for deriving feasible deployment alternatives for parallel and distributed simulation systems in [5] and tool support for the approach in [6]. From a generic perspective, the solved allocation problem is characterized as the Multi-Processor Task Assignment (MPTA) problem [57], [36] which is a general problem that can be applied to different domains.…”

Architecting Feasible Deployment Alternatives for Publish-Subscribe Systems

“…In this paper we propose a generic method for systematically selecting and generating deployment alternatives for Publish-Subscribe based distributed systems. The approach is an abstraction of our earlier work on defining feasible configuration alternatives in HLA based distributed simulation systems [8,9]. The approach that we present in this paper is generic and can be applied to a broader set of publish subscribe systems, beyond simulation systems.…”

“…We have developed a tool framework (Deploy-PS) that provides an integrated development environment for deriving feasible deployment International Journal of Computer & Software Engineering alternatives based on the application and the available physical resources at the design phase. The method and the tool support have been validated by using two different case studies for the development of a traffic simulation system [8], an electronic warfare simulation [9], and a DDS-based city wide Advanced Traffic Management System (ATMS) [10].…”