Phileas: A Simulation-based Approach for the Evaluation of Value-based Fog Services

Poltronieri, Filippo; Stefanelli, Cesare; Suri, Niranjan; Tortonesi, Mauro

doi:10.1109/camad.2018.8514969

Cited by 12 publications

(12 citation statements)

References 16 publications

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“…The HORNET solution adopts the MLR approach and extends it with the Adaptive, Information-centric, and Value-based (AIV) service and information maturity model [46]. On the one hand, AIV proposes an information maturity model that classifies messages in two different categories: raw-data if a message is generated by a sensor and Information Object (IO) if the message is the processing result of a service component.…”

Section: B Value-based Information Processingmentioning

confidence: 99%

“…For the purpose of this experiment we adopted Phileas, a discrete event simulator that enables the reproducible evaluation of Fog applications in a realistic environment, which we developed and released as open source at: https://github.com/DSG-UniFE/phileas [46]. Phileas allows to simulate applications built on the AIV service model, tracking the VoI of each information during the whole processing, from the generation of a message to its consumption.…”

Section: ) the Phileas Simulator And The Target Use-casementioning

confidence: 99%

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HOlistic pRocessing and NETworking (HORNET): An Integrated Solution for IoT-Based Fog Computing Services

et al. 2020

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Fog Computing is a recent and compelling paradigm that proposes to run informationprocessing services at the edge of the network. While interesting standardization efforts in Fog Computing are being currently pursued by many organizations, most of them focus on management and orchestration functions, and primarily propose the adoption and adaptation of programming models designed for Cloud applications. Instead, Fog Computing applications would significantly benefit from innovative solutions that, on the one hand, adopt an ''acceptable lossiness'' perspective and manage information processing/dissemination in a dynamic and integrated way and, on the other hand, support a Multi Layer Routing (MLR) approach to exploit multiple routing options at different abstraction levels at the same time. This paper presents an overview of the opportunities and challenges of Fog Computing-based Internet of Things (IoT) applications by jointly exploiting acceptable lossiness and MLR. In addition, the paper proposes the innovative Holistic pRocessing and NETworking (HORNET) Software Defined Networking (SDN) solution which leverages an information-centric and value-based service model and the MLR approach to support IoT applications. The reported preliminary experimental results show the feasibility and effectiveness of the proposed approach. INDEX TERMS Fog computing, IoT, network softwarization, value-of-information (VoI).

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Section: B Value-based Information Processingmentioning

confidence: 99%

Section: ) the Phileas Simulator And The Target Use-casementioning

confidence: 99%

HOlistic pRocessing and NETworking (HORNET): An Integrated Solution for IoT-Based Fog Computing Services

et al. 2020

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“…Several experimentations to validate the SPF VoI-based approach for Crowdsensing applications in Smart Cities, both at the small scale real testbed [14] as well as at the larger scale simulated testbed level [15], demonstrated its effectiveness in delivering high levels of Quality-of-Service even in resource scarce environments.…”

Section: Promising Research Directionsmentioning

confidence: 99%

Leveraging Crowdsourcing and Crowdsensing Data for HADR Operations in a Smart City Environment

Pradhan

Johnsen

Tortonesi

et al. 2019

IEEE Internet Things M.

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The future of the world's population concentration lies in the bounds of the urban cities. Citizens or humans are the most important tangible resources in a Smart City environment who need to be served as well as protected. The concept of Smart Cities is trying to accomplish the idea of serving the citizens by leveraging the potential of Information and Communications Technology (ICT) assets. The citizens have access to Smart technologies and applications, and thus they form an indispensable component to complement and supplement a Smart City's operation. Especially in a Human Assistance and Disaster Recovery (HADR) operation where a Smart City's core infrastructure might get compromised, the assets of citizens can be put to use. This paper aims to describe the current state of affairs for safety in cities and humanitarian assistance in emergency situations, which require leveraging Situational Awareness (SA) data. We discuss and propose mechanisms for connecting to and utilizing Crowdsourcing and Crowdsensing data in a Smart City environment which can assist in efficient HADR operations.

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“…SPF is a Fog as a Service (FaaS) platform [11] that allocates part of the IoT information processing at the edge of the network, thus exploiting the proximity of sources and users. SPF is based on the Adaptive, Information-centric and Valuebased (AIV) information model that adopts filtered and valuebased information processing policies of the IoT data [12]. According to the AIV, SPF ranks each information object according to its Value of Information (VoI) [13] in order to prioritize the dissemination of critical information at the edge of the network.…”

Section: Sieve Process and Forward (Spf)mentioning

confidence: 99%

Generic Architecture for Edge Computing Based on SPF for Military HADR Operations

Pradhan

Poltronieri

Tortonesi

2019

2019 IEEE 5th World Forum on Internet of Things (WF-IoT)

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Internet-of-things (IoT) devices have led to ubiquitous, remote and autonomous computing at the edge of the networks. These devices offload sensing, actuation and processing tasks away from the core of the network. The concept of Smart Cities tries to leverage Edge Computing based on IoT technologies for remote and distributed computing. Sieve, Process and Forward (SPF) is a Value-of-Information (VoI) based Fog as a Service (FaaS) solution for dynamic IoT applications in Smart City scenarios. The military has been looking to utilize the SPF platform for Edge Computing to assist in Human Assistance and Disaster Recovery (HADR) operations. A recent NATO IST 147 RTG demonstration proved the validity of SPF, but also highlighted the need of extending the current architecture to support specific use-case scenarios for HADR systems. This paper tries to propose a generic architecture based on SPF to enable interoperability between military C2 (Command and Control) and core computing systems to support future HADR operations in Smart City environments.

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Phileas: A Simulation-based Approach for the Evaluation of Value-based Fog Services

Cited by 12 publications

References 16 publications

HOlistic pRocessing and NETworking (HORNET): An Integrated Solution for IoT-Based Fog Computing Services

HOlistic pRocessing and NETworking (HORNET): An Integrated Solution for IoT-Based Fog Computing Services

Leveraging Crowdsourcing and Crowdsensing Data for HADR Operations in a Smart City Environment

Generic Architecture for Edge Computing Based on SPF for Military HADR Operations

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