A Framework for Designing and Evaluating Distributed Real-Time Applications

Valadares, Arthur; Lopes, Cristina Videira

doi:10.1109/ds-rt.2014.17

Cited by 2 publications

(2 citation statements)

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“…The evaluation of the design, and the systematic testing of any DVE require the existence of well defined metrics for establishing acceptable behavior. In a previous paper [20], we formulated six concerns that capture important tradeoffs of DRT systems: correctness, fault tolerance, parallelism, time sensitivity, consistency, and overhead costs. As such, in our OpenSimulator work, we have used metrics in all of these dimensions of concern.…”

Section: B Six Dimensions Of Concernmentioning

confidence: 99%

On designing and testing distributed virtual environments

Valadares

Gabrielova

Lopes

2016

Concurrency and Computation

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Summary Distributed real‐time (DRT) systems are among the most complex software systems to design, test, maintain, and evolve. The existence of components distributed over a network often conflicts with real‐time requirements, leading to design strategies that depend on domain‐specific and even application‐specific knowledge. Distributed virtual environment (DVE) systems are DRT systems that connect multiple users instantly with each other and with a shared virtual space over a network. DVE systems deviate from traditional DRT systemsx in the importance of the quality of the end user experience. We present an analysis of important, but challenging, issues in the design, testing, and evaluation of DVE systems through the lens of experiments with a concrete DVE, OpenSimulator. We frame our observations within six dimensions of well‐known design concerns: correctness, fault tolerance/prevention, scalability, time sensitivity, consistency, and overhead of distribution. Furthermore, we place our experimental work in a broader historical context, showing that these challenges are intrinsic to DVEs and suggesting lines of future research. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: B Six Dimensions Of Concernmentioning

confidence: 99%

On designing and testing distributed virtual environments

Valadares

Gabrielova

Lopes

2016

Concurrency and Computation

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“…In the real time applications, Arthur et al in [61] proposed a framework for deploying distributed real time systems and applications in cloud. Their conceptual framework enable the developers of the distributed real time applications to forecast and handle the issues early during the designing phase of the systems.…”

Section: Cloud Computing Applicationsmentioning

confidence: 99%

On Service Level Agreement Assurance in Cloud Computing Data Centers

Zainelabden

Ibrahim

Kliazovich

et al. 2016

2016 IEEE 9th International Conference on Cloud Computing (CLOUD)

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SaaS is providing cloud applications like all the normal classes of applications of normal computing like the web applications, le applications, email applications, real-time applications, highly interactive applications, massive data analysis applications, high performance computing applications and mobile cloud applications. Cloud computing uses the internet data centers to host the applications and data storage and also the processing power in the addition to the virtualization. Clouds are a huge stack of easily and usefully virtualized services and resources (Like software, platform and hardware).These resources are used by people all over the world and dynamically congured to accommodate more and more load and scale to a huge number of users. This stack of resources and services is delivered to the customers by a pay-per-use model which veries that the services provided by the cloud providers are provided by means of service level agreements.In this master thesis, we present an assurance to the service level agreement between the cloud users and the cloud services providers by trying to assess and evaluate the cloud computing data centers services and applications provided to the cloud users. Also we introduce mathematical test models for the web, le, real time and distributed applications. We can use these test models to see the behavior of the applications over a long time.In this master thesis, we classify the cloud applications into 8 dierent classes of applications and then identify the failures and problems which aect these cloud applications.We classify also all failures types which may occur in cloud data centers like network failures, physical server failures, VM unavailability, individual failures racks and individual component failures. We got the important metrics for each class of applications and developed real scenarios for four classes. Then, we introduce dierent failures to these scenarios to see what is the impact in the most important metrics of applications. Then, we simulate these scenarios in Network Simulator 2. Finally, we solved and mitigated the failures in simulation by using two failure mitigation techniques. The rst one is the virtual machine migration and redundancy. The second technique is the forward error correction.Experimental results acquired over the course of this master's thesis give an assessment and verication of the cloud applications services provided by the cloud provider data centers. And also verify that the cloud data center provider gives their users the best services performance and high QoS, we use this verication to assure SLA response times metric and a good quality and performance of services as mentioned inside the SLA document. This verication will be given to the cloud customers.iii iv Acknowledgment "Today don't beg, don't ask, Just thank God in silence; for all the blessings in your life. " Paulo CoelhoThe road to want something is always guided by unseen strong currents of support from people who believe that you will do it what you have set...

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A Framework for Designing and Evaluating Distributed Real-Time Applications

Cited by 2 publications

References 18 publications

On designing and testing distributed virtual environments

On designing and testing distributed virtual environments

On Service Level Agreement Assurance in Cloud Computing Data Centers

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