The FITTEST Tool Suite for Testing Future Internet Applications

The recent introduction of the so-called Conditional Neural Networks (CDNNs) with multiple early exits, executed atop virtualized multi-tier Fog platforms, makes feasible the real-time and energy-efficient execution of analytics required by future Internet applications. However, until now, toolkits for the evaluation of energy-vs.-delay performance of the inference phase of CDNNs executed on such platforms, have not been available. Motivated by these considerations, in this contribution, we present DeepFogSim. It is a MATLAB-supported software toolbox aiming at testing the performance of virtualized technological platforms for the real-time distributed execution of the inference phase of CDNNs with early exits under IoT realms. The main peculiar features of the proposed DeepFogSim toolbox are that: (i) it allows the joint dynamic energy-aware optimization of the Fog-hosted computing-networking resources under hard constraints on the tolerated inference delays; (ii) it allows the repeatable and customizable simulation of the resulting energy-delay performance of the overall Fog execution platform; (iii) it allows the dynamic tracking of the performed resource allocation under time-varying operating conditions and/or failure events; and (iv) it is equipped with a user-friendly Graphic User Interface (GUI) that supports a number of graphic formats for data rendering. Some numerical results give evidence for about the actual capabilities of the proposed DeepFogSim toolbox.

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A Novel TCP Congestion Control (TCP-CC) Algorithm for Future Internet Applications and Services

Lecture Notes in Computer Science - Wired/Wireless Internet Communications ◽

10.1007/11424505_8 ◽

2005 ◽

pp. 75-85

Author(s):

Haiguang Wang ◽

Winston Khoon Guan Seah

Keyword(s):

Congestion Control ◽

Future Internet ◽

Internet Applications ◽

Tcp Congestion Control

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Structured Overlay Networks as an Enabler for Future Internet ServicesStrukturierte Overlay Netze als Wegbereiter für NGI Dienste

it - Information Technology ◽

10.1524/itit.2008.0509 ◽

2009 ◽

Vol 50 (6) ◽

Cited By ~ 1

Author(s):

Gerald Kunzmann ◽

Andreas Binzenhöfer ◽

Fabian Stäber

Keyword(s):

User Experience ◽

Technological Progress ◽

Overlay Networks ◽

Future Internet ◽

Basic Principles ◽

Internet Applications ◽

Next Generation Internet ◽

Powerful Means ◽

Structured Overlay ◽

Structured Overlay Networks

AbstractThe next generation Internet will not only be defined by its technological progress but also by innovative Internet applications which offer new features, more interactivity, and a better user experience. Structured overlay networks, which create a well-defined virtual topology above the basic transport network, are a powerful means to easily create such Internet applications. There are many different approaches to realize structured overlay networks which in their core functions share the same basic principles. In this work we summarize the fundamentals of structured overlay networks, describe their inherent problems, and present an overview of our solutions. We then show how all these ideas have been put into practice in terms of a distributed carrier grade communication platform.

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Mastering Interactions with Internet of Things Platforms through the IoTVar Middleware

Proceedings ◽

10.3390/proceedings2019031078 ◽

2019 ◽

Vol 31 (1) ◽

pp. 78

Author(s):

Pedro Victor Borges ◽

Chantal Taconet ◽

Sophie Chabridon ◽

Denis Conan ◽

Thais Batista ◽

...

Keyword(s):

Internet Of Things ◽

Future Internet ◽

Internet Applications ◽

Device Discovery ◽

Geographically Dispersed ◽

Iot Platform ◽

Level Of Knowledge ◽

Iot Platforms ◽

Client Side ◽

Application Developers

The rising popularity of the Internet of Things (IoT) has led to a plethora of highly heterogeneous, geographically dispersed devices. In recent years, IoT platforms have been used to provide a variety of services to applications such as device discovery, context management, and data analysis. However, the lack of standardization currently means that each IoT platform comes with its own abstractions, APIs, and interactions. As a consequence, programming the interactions between an application and an IoT platform is often time consuming, error prone, and depends on the developers’ level of knowledge about the IoT platform. To address these issues, we propose offering to application developers on the client side the possibility to declare variables that are automatically mapped to sensors and whose values are transparently updated with sensor observations. For this purpose, we introduce IoTVar, a middleware between IoT applications and platforms. In IoTVar, all the necessary interactions with IoT platforms are managed by proxies. This paper presents IoTVar integrated with the FIWARE platform, which is used for developing IoT Future Internet applications. We also report results of some experiments performed to evaluate IoTVar, showing IoTVar reduces the effort required to declare and manage IoT variables and its impact in terms of CPU, memory, and energy.

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A Study on Join Operations in MongoDB Preserving Collections Data Models for Future Internet Applications

Future Internet ◽

10.3390/fi11040083 ◽

2019 ◽

Vol 11 (4) ◽

pp. 83 ◽

Cited By ~ 3

Author(s):

Antonio Celesti ◽

Maria Fazio ◽

Massimo Villari

Keyword(s):

Data Storage ◽

Future Internet ◽

Data Models ◽

Application Layer ◽

Software Developers ◽

Internet Applications ◽

Nosql Databases ◽

Open Questions ◽

Relational Database Management

Presently, we are observing an explosion of data that need to be stored and processed over the Internet, and characterized by large volume, velocity and variety. For this reason, software developers have begun to look at NoSQL solutions for data storage. However, operations that are trivial in traditional Relational DataBase Management Systems (DBMSs) can become very complex in NoSQL DBMSs. This is the case of the join operation to establish a connection between two or more DB structures, whose construct is not explicitly available in many NoSQL databases. As a consequence, the data model has to be changed or a set of operations have to be performed to address particular queries on data. Thus, open questions are: how do NoSQL solutions work when they have to perform join operations on data that are not natively supported? What is the quality of NoSQL solutions in such cases? In this paper, we deal with such issues specifically considering one of the major NoSQL document oriented DB available on the market: MongoDB. In particular, we discuss an approach to perform join operations at application layer in MongoDB that allows us to preserve data models. We analyse performance of the proposes approach discussing the introduced overhead in comparison with SQL-like DBs.

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Dynamic Lognormal Shadowing Framework for the Performance Evaluation of Next Generation Cellular Systems

Future Internet ◽

10.3390/fi11050106 ◽

2019 ◽

Vol 11 (5) ◽

pp. 106

Author(s):

Georgios A. Karagiannis ◽

Athanasios D. Panagopoulos

Keyword(s):

Performance Evaluation ◽

Large Scale ◽

Channel Model ◽

Temporal Dynamics ◽

Future Internet ◽

Point Of View ◽

Cellular Systems ◽

Internet Applications ◽

Spatial Correlation Structure ◽

Lognormal Shadowing

Performance evaluation tools for wireless cellular systems are very important for the establishment and testing of future internet applications. As the complexity of wireless networks keeps growing, wireless connectivity becomes the most critical requirement in a variety of applications (considered also complex and unfavorable from propagation point of view environments and paradigms). Nowadays, with the upcoming 5G cellular networks the development of realistic and more accurate channel model frameworks has become more important since new frequency bands are used and new architectures are employed. Large scale fading known also as shadowing, refers to the variations of the received signal mainly caused by obstructions that significantly affect the available signal power at a receiver’s position. Although the variability of shadowing is considered mostly spatial for a given propagation environment, moving obstructions may significantly impact the received signal’s strength, especially in dense environments, inducing thus a temporal variability even for the fixed users. In this paper, we present the case of lognormal shadowing, a novel engineering model based on stochastic differential equations that models not only the spatial correlation structure of shadowing but also its temporal dynamics. Based on the proposed spatio-temporal shadowing field we present a computationally efficient model for the dynamics of shadowing experienced by stationary or mobile users. We also present new analytical results for the average outage duration and hand-offs based on multi-dimensional level crossings. Numerical results are also presented for the validation of the model and some important conclusions are drawn.

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