Analyzing point-to-point DDS communication over desktop virtualization software

García-Valls, Marisol; Val, Pablo Basanta

doi:10.1016/j.csi.2016.06.007

Cited by 21 publications

(8 citation statements)

References 14 publications

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“…Also, the performance of communication middleware can be predicted using the proposed methodology rather than black-box approaches, by considering internal structure of middleware and the main operations that take place in communication. In new communication middleware and virtualisation technologies, the performance experienced by middleware and subsequently by the applications is altered by many factors which must be analysed in time-sensitive domains [26]. Table 3 Program characteristics for grey-box predictive modelling suggested by Guo et al [10] Characteristics Definition DATADEP4 % of data dependency distance = 8 DATADEP6 % of data dependency distance = 32 DATADEP8 % of data dependency distance > 64 BRATRAN branch transition rate DATATL4 data temporal locality with 4096B block INSTTL1 instruction temporal locality with 16B block DATASL3 data spatial locality with 256B block…”

Section: Resultsmentioning

confidence: 99%

“…Also, the performance of communication middleware can be predicted using the proposed methodology rather than black‐box approaches, by considering internal structure of middleware and the main operations that take place in communication. In new communication middleware and virtualisation technologies, the performance experienced by middleware and subsequently by the applications is altered by many factors which must be analysed in time‐sensitive domains [26].…”

Section: Resultsmentioning

confidence: 99%

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Moving towards grey‐box predictive models at micro‐architecture level by investigating inherent program characteristics

Ahmadinejad

Fatemi

2017

IET Computers & Digital Techniques

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Predictive modelling has gained much attention in the last decade, aiming fast evaluation of different design points in design space exploration (DSE) process. However, predictive model construction still requires costly simulations for every unseen program. To reduce the number of simulations, several cross-program prediction schemes have been developed. This study proposes a cross-program predictive scheme for micro-architectural DSE. The scheme measures a set of representative inherent characteristics for the unseen program and compares them against the same characteristics of training programs. Then, based on similarity information, the performance trend of the unseen program is predicted using the predictive models of training programs. As the raw data of the characteristics do not characterise programs in performance space, the authors propose a novel method which transforms the characteristic space into performance space. The proposed method achieves 13.3× speed-up over the program-centric scheme with an average correlation coefficient of 0.92.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Moving towards grey‐box predictive models at micro‐architecture level by investigating inherent program characteristics

Ahmadinejad

Fatemi

2017

IET Computers & Digital Techniques

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“…García, Rajeshwari, Prasad [19,18,13] discussed about the deployment and implementation of innovative unique virtual infrastructure for educational purposes. They showed how to allow the students to remotely access some applications and systems using web browsers.…”

Section: Literature Reviewmentioning

confidence: 99%

Virtualization Environment for Computer Labs to Maintain Security, Stability and Availability

Alameen¹

2017

IJCA

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Academic organizations are supposed to seek certain balance between the concerns of security, stability and availability of shared computer labs to achieve the course learning objectives. Some academic activities in computer science courses require students to control and configure some laboratory devices. Students in advanced courses may use some risky applications for some learning activities. It may affect the stability, availability and security of the working nature in the shared lab and networks. Virtualization Platform has the ability to overcome these concerns to achieve learning objectives. Virtualization technologies allow students to access and control the computer settings as well as the working environment in advanced applications without affecting the operational availability of computer labs throughout the college day. Virtualization enables computer security teachers to train their students on many hands-on activities without exposing or causing damages to computer labs. This paper presents the usage of virtualization technology in such environment, the opportunities and benefits of using this technology in computer security oriented courses. The paper also discusses the use of the VMware workstation pro as a sandbox for risky lab activities in computer security courses. Here the Desktop Virtualization offers great opportunities to teach advanced skills in computer security courses. Also, this paper outlines the challenges and limitations of virtualization along with some recommendations to address these limitations.

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“…This is the case of RaspberriPi (Halfacree and Upton, 2012) and FreeRTOS (Barry, 2010) or even any more powerful server architectures with real-time Linux. On these platforms, it is possible to set a software stack with a predictable schedulability model to achieve time bounded communication in both a bare machine (García-Valls, 2016) or in a virtualized setting (García-Valls and Basanta-Val, 2017).…”

Section: Introductionmentioning

confidence: 99%

Prototyping low-cost and flexible vehicle diagnostic systems

García-Valls

2016

ADCAIJ

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Distribution middleware; Diagnostic systems; Software design Diagnostic systems are software and hardware-based equipment that interoperate with an external monitored system. Traditionally, they have been expensive equipment running test algorithms to monitor physical properties of, e.g., vehicles, or civil infrastructure equipment, among others. As computer hardware is increasingly powerful (whereas its cost and size is decreasing) and communication software becomes easier to program and more run-time efficient, new scenarios are enabled that yield to lower cost monitoring solutions. This paper presents a low cost approach towards the development of a diagnostic system relying on a modular componentbased approach and running on a resource limited embedded computer. Results on a prototype implementation are shown that validate the presented design, its flexibility, performance, and communication latency.

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Analyzing point-to-point DDS communication over desktop virtualization software

Cited by 21 publications

References 14 publications

Moving towards grey‐box predictive models at micro‐architecture level by investigating inherent program characteristics

Moving towards grey‐box predictive models at micro‐architecture level by investigating inherent program characteristics

Virtualization Environment for Computer Labs to Maintain Security, Stability and Availability

Prototyping low-cost and flexible vehicle diagnostic systems

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