Abstract
In the age of the Internet of Things (IoT), more and more sensors, actuators and smart devices get connected to the network. Application providers often combine this connectivity with novel scenarios involving cloud computing. Before implementing changes in these large-scale systems, an in-depth analysis is often required to identify governance models, bottleneck situations, costs and unexpected behaviours. Distributed systems simulators help in such analysis, but they are often problematic to apply in this newly emerging domain. For example, most simulators are either too detailed (e.g., need extensive knowledge on networking), or not extensible enough to support the new scenarios. To overcome these issues, we discuss our IoT cost analysis oriented extension of DIScrete event baSed Energy Consumption simulaTor for Clouds and Federations (DISSECT-CF). Thus, we present an in-depth analysis of IoT and cloud related pricing models of the most widely used commercial providers. Then, we show how the fundamental properties (e.g., data production frequency) of IoT entities could be linked to the identified pricing models. To allow the adoption of unforeseen scenarios and pricing schemes, we present a declarative modelling language to describe these links. Finally, we validate our extensions by analysing the effects of various identified pricing models through five scenarios coming from the field of weather forecasting.
Highlights
Internet of Things (IoT) is a rapidly emerging concept where sensors, actuators and smart devices are often connected to cloud systems
Our scenarios mainly focus on how resource utilization and management patterns alter based on changing sensor behaviour and how do these affect the incurred costs of operating the IoT system
In this paper, we introduced a method to show how generic IoT sensors could be modelled in a state-of-the-art cloud simulator
Summary
Internet of Things (IoT) is a rapidly emerging concept where sensors, actuators and smart devices are often connected to cloud systems. A wide range of IoT oriented simulators have risen [1,2,3] These are use case limited (e.g., they only focus on big data processing). They are often focused on very specific sensors or sensor behaviour, neglecting the financial side of operating large scale IoT systems. These simulators are rarely scaling to match the number of devices foreseen in IoT systems of tomorrow
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