Problem Solving Environment for Distributed Interactive Applications

Rycerz, Katarzyna; Bubak, Marian; Sloot, Peter M. A.; Getov, Vladimir

doi:10.1007/978-0-387-72812-4_5

Cited by 7 publications

(5 citation statements)

References 9 publications

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“…Meanwhile, numerous powerful tools serving this purpose have been developed. A brief overview of some state-of-the-art tools -steering environments and systems such as CSE [2], Magellan [3], SCIRun [4], Uintah [5], G-HLAM [6] and EPSN [7] , libraries such as CUMULVS [8], or Reali-tyGrid [9,10], or frameworks such as Steereo [11] -is provided in the next section.…”

Section: Introductionmentioning

confidence: 99%

“…In the G-HLAM [6] PSE, the focus is more on fault tolerance, i. e. monitoring and migration of the distributed federates. The group of main G-HLAM services consists of one which coordinates management of the simulation, one which decides when performance of a federate is not satisfactory and migration is required, the other which stores information about the location of local services.…”

Section: Introductionmentioning

confidence: 99%

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Advanced Computing

2013

Lecture Notes in Computational Science and Engineering

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To harness the potential of advanced computing technologies, efficient (real time) analysis of large amounts of data is as essential as are front-line simulations. In order to optimise this process, experts need to be supported by appropriate tools that allow to interactively guide both the computation and data exploration of the underlying simulation code. The main challenge is to seamlessly feed the user requirements back into the simulation. State-of-the-art attempts to achieve this, have resulted in the insertion of so-called check-and break-points at fixed places in the code. Depending on the size of the problem, this can still compromise the benefits of such an attempt, thus, preventing the experience of real interactive computing. To leverage the concept for a broader scope of applications, it is essential that a user receives an immediate response from the simulation to his or her changes. Our generic integration framework, targeted to the needs of the computational engineering domain, supports distributed computations as well as on-the-fly visualisation in order to reduce latency and enable a high degree of interactivity with only minor code modifications. Namely, the regular course of the simulation coupled to our framework is interrupted in small, cyclic intervals followed by a check for updates. When new data is received, the simulation restarts automatically with the updated settings (boundary conditions, simulation parameters, etc.). To obtain rapid, albeit approximate feedback from the simulation in case of perpetual user interaction, a multi-hierarchical approach is advantageous. Within several different engineering test cases, we will demonstrate the flexibility and the effectiveness of our approach.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Advanced Computing

2013

Lecture Notes in Computational Science and Engineering

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“…Framework layout − user interaction with the running simulation: On the front-end a user is performing changes via graphical user interface, the information is sent to the simulation via the network. [12], on the other hand, focuses more on fault tolerance, i. e. monitoring and migration of the distributed federates. The group of main G-HLAM services consists of a Broker Service which coordinates management of the simulation, a Performance Decision Service which decides when performance of a federate is not satisfactory, thus, migration is required, and a Registry Service which stores information about the location of local services.…”

Section: Introductionmentioning

confidence: 99%

Interactive Computing−Virtual Planning of Hip Joint Surgeries with Real-Time Structure Simulations

Knežević¹,

Mundani²,

Rank³

2011

IJMO

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Current interactive computing state-of-the-art environments, libraries, and frameworks open the door for engineers to run their simulation codes in an interactive mode, i. e. allowing for estimations of the state and tendency, as well as modifications, during a simulation program runtime without the necessity for their own expertise in efficient algorithms and data structures, high-performance computing, and visualisation. Nevertheless, when it comes to the real-time response of the simulation to this interaction − namely, keeping the connection between the user's change and its effect intuitive or at least observable − these environments are still limited in their possible application and, furthermore, often entail heavy code changes in order to be coupled to existing codes. Therefore, we introduce an integration framework applicable to different engineering applications, which with only minor code modifications involved supports distributed simulations as well as visualisation on-the-fly and enables real time interactive computational steering. Furthermore, we present its integration into a previously existing pre-operative planning environment for joint replacement surgery, which makes possible an interactive patient-specific selection of the optimal implant design, size, and position. The environment is supposed to enable the real-time surgeon's interplay with virtual models of bones and implants in 3D, thus, simultaneous computation and visualisation of the load transfer between the bone and the implant. Moreover, we tackle the problem of long communication delays which occur in the case of rigid coupling of simulation back-ends with visualisation front-ends and handicap a surgeon in observing which of his modifications leads to which outcome. Index Terms-Bone Mechanics, computational steering environment (cse), human femur, interactive computing, message passing interface (mpi).

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“…For the users that have they own HLA application and want to run it almost unaltered efficiently using the Grid, we suggested using our previous work [13], where we have focused on execution management of existing legacy HLA applications and the best usage of available Grid resources, which can be achieved by using provided migration and monitoring services. This paper is organized as follows: in Section 2 we outline related work, in Section 3 we describe the HLA component model.…”

Section: Introductionmentioning

confidence: 99%

Hla Component Based Environment For Distributed Multiscale Simulations

Rycerz

Bubak

Sloot

2008

From Grids to Service and Pervasive Computing

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In this paper we present the Grid environment that supports application building basing on a High Level Architecture (HLA) component model. The proposed model is particularly suitable for distributed multiscale simulations. Original HLA partly supports interoperability and composability of simulation models, where connections between modules (federates) in a simulation system (federation) are defined and set by federates themselves. On the contrary, in the proposed component model the particular behavior of component and it's connections are defined and set by an external module (e.g. builder) on the user request which is more flexible and increases reusability of components. We are also proposing to integrate our HLA component solution with the Grid which will allow users working on distributed simulations to more easily exchange the models already created. The focus of this paper is on design of the HLA component. We show how to insert simulation logic into a component and make possible to steer from outside its connections with other components. Its functionality is shown on the example of multiscale simulation of a stellar system.

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Problem Solving Environment for Distributed Interactive Applications

Cited by 7 publications

References 9 publications

Advanced Computing

Advanced Computing

Interactive Computing−Virtual Planning of Hip Joint Surgeries with Real-Time Structure Simulations

Hla Component Based Environment For Distributed Multiscale Simulations

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