SimIC: Designing a New Inter-cloud Simulation Platform for Integrating Large-Scale Resource Management

Sotiriadis, Stelios; Bessis, Nik; Antonopoulos, Nick; Anjum, Ashiq

doi:10.1109/aina.2013.123

Cited by 52 publications

(35 citation statements)

References 9 publications

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“…Its aim is to support the OASIS standard Devices Profile for Web Services (DPWS) that enables the use of web services on smart and resource-constrained devices. SimIoT [13] is derived from the SimIC simulation framework [12], which provides a deeper insight into the behavior of IoT systems, and introduces several techniques that simulates the communication between an IoT sensor and the cloud, but it is limited by its compute oriented activity modeling.…”

Section: Related Workmentioning

confidence: 99%

Efficient Simulation of IoT Cloud Use Cases

Márkus

Marques

Kecskeméti

et al. 2018

Lecture Notes in Computer Science

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Abstract. In the paradigm of Internet of Things (IoT), sensors, actuators and smart devices are connected to the Internet. Application providers utilize the connectivity of these devices with novel approaches involving cloud computing. Some applications require in depth analysis of the interaction between IoT devices and clouds. Research in this area is facing questions like how we should govern such large cohort of devices, which may easily go up often to tens of thousands. In this chapter we investigate IoT Cloud use cases, and derive a general IoT use case. Distributed systems simulators could help in such analysis, but they are problematic to apply in this newly emerging domain, since most of them are either too detailed, or not extensible enough to support the to be modelled devices. Therefore we also show how generic IoT sensors could be modelled in a state of the art simulator using our generalized case to exemplify how the fundamental properties of IoT entities can be represented in the simulator. Finally, we validate the applicability of the introduced IoT extension with a fitness and a meteorological use case.

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Section: Related Workmentioning

confidence: 99%

Efficient Simulation of IoT Cloud Use Cases

Márkus

Marques

Kecskeméti

et al. 2018

Lecture Notes in Computer Science

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show abstract

“…It expects to recreate a between cloud office where various mists team up [27]. What's more, it bolsters reproduction of heterogeneous and processing situations which are liable to ongoing imperatives.…”

Section: Sim Icmentioning

confidence: 99%

A Study on Simulation Tools in Cloud Computing

2018

IJRTER

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Abstract-today, distributed computing has turned into a promising worldview that goes for conveying figuring assets and administrations on request. The reception of these administrations has been quickly expanding. One of the fundamental issues in this setting is the manner by which to assess the capacity of cloud frameworks to give the coveted administrations while regarding the QoS requirements. Experimentation in a genuine situation is a difficult issue. Truth be told, the monetary cost and the time required are high. Likewise, the examinations are not repeatable, on the grounds that various factors that are not under control of the analyzer may influence exploratory outcomes. Accordingly, utilizing reenactment structures to assess cloud applications is favored. This paper introduces a study of the current simulation instruments in distributed computing. It gives likewise a basic and similar investigation of the considered instruments. At last, it emerges a noteworthy test to be tended to for additionally inquire about.

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“…Its aim is to support the OASIS standard Devices Profile for Web Services (DPWS). SimIoT [1] is derived from the SimIC simulation framework [6]. It introduces several techniques to simulate the communication between an IoT sensor and the cloud, but it is limited to compute activity modeling.…”

Section: Related Workmentioning

confidence: 99%

Flexible Representation of IoT Sensors for Cloud Simulators

Márkus

Kecskeméti

Kertész

2017

2017 25th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)

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Abstract-In Internet of Things (IoT), sensors, actuators and smart devices are connected to the Internet. Application providers combine this connectivity with novel scenarios involving cloud computing. Some require in depth analysis of the interaction between IoT devices and clouds. Research focuses on questions like how to govern such large cohort of devices (i.e., often over tens of thousands). Distributed systems simulators help in such analysis, but they are problematic to apply in this newly emerging domain. Most simulators are either too detailed (e.g., need extensive knowledge on networking), or not extensible enough to support the new scenarios. This paper introduces our attempt to show how a state of the art simulator could model generic IoT sensors. We show the fundamental properties of IoT entities represented in the simulator. Based on these properties, we present an XML based, declarative modelling language aiming at: (i) describing the behaviour of sensors and their relation to clouds, and (ii) allowing rapid prototyping of simulations. Finally, we validate the applicability of our IoT extensions in five scenarios in the field of weather forecasting.

show abstract

SimIC: Designing a New Inter-cloud Simulation Platform for Integrating Large-Scale Resource Management

Cited by 52 publications

References 9 publications

Efficient Simulation of IoT Cloud Use Cases

Efficient Simulation of IoT Cloud Use Cases

A Study on Simulation Tools in Cloud Computing

Flexible Representation of IoT Sensors for Cloud Simulators

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