A Platform for Smart Object Virtualization and Composition

Stecca, Michele; Moiso, Corrado; Fornasa, Martino; Baglietto, Pierpaolo; Maresca, Massimo

doi:10.1109/jiot.2015.2434211

Cited by 16 publications

(15 citation statements)

References 15 publications

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“…1) Abstracting IoT objects as services The abstraction of IoT objects as services, as it has been addressed in some related work [29], can be made possible since IoT objects and services share common characteristics. IoT objects and services comprise multiple independent components that communicate to each other by exchanging data [28].…”

Section: A the Internet Of Servicesmentioning

confidence: 99%

“…2) Utilizing SOC technology for object communication IoT objects are heterogeneous in that they are of different hardware and employ various communication protocols. The main purpose in abstracting IoT objects as services is to allow these heterogeneous objects to easily communicate with each other [29]. To this end, commonly used service technology, such as RESTful and SOAP, could be utilized [12].…”

Section: A the Internet Of Servicesmentioning

confidence: 99%

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Analysis of Large-Scale Service Network Tolerance to Cascading Failure

Lhaksmana

Murakami

Ishida

2016

IEEE Internet Things J.

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The future Internet will be populated with a massive number of cooperating services due to the rapid growth of publicly available services and the adoption of service-oriented computing (SOC) into the Internet of Things (IoT). The adoption of SOC enables combining the functionalities of smart devices as combining services by means of service composition. These cooperating services form a large-scale service network where the nodes and the links represent services and the dependency between services, respectively. The dependency between services potentially causes cascading failure, where the failure of a service propagates to its dependent services. Due to the lack of research in this type of cascading failure, we analyzed cascading failure in service networks for different topology and different degree of service interdependency. We found that the number of cascading failure is somewhat linear to the average number of required services, and decays exponentially over the average number of alternate services. The latter suggests that cascading failure tolerance can be significantly improved by adding few alternate services to each required service if the average number of alternate services is currently low. In addition, we also found that scale-free topology provides better tolerance, subsequently followed by exponential and random topology.

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Section: A the Internet Of Servicesmentioning

confidence: 99%

Section: A the Internet Of Servicesmentioning

confidence: 99%

Analysis of Large-Scale Service Network Tolerance to Cascading Failure

Lhaksmana

Murakami

Ishida

2016

IEEE Internet Things J.

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“…Next in Fog, decryption technique the intermediate cipher is computed by using client key. Finally, the client decryption [32][33][34][35][36][37][38][39][40][41][42] technique gets the intermediate cipher from the private key and original message is obtained. They compared their technique with RSA technique.…”

Section: Data and Cryptographic Based Security Techniquementioning

confidence: 99%

Augmentation and Orchestration of Security Techniques in Fog Computing

2019

ijrte

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The inventions in the field of Cloud computing with mobile devices, cloudlets, Edge computing are sizzling growth of IoT(Internet of Things) devices. The cloud computing technology has its limitation in various attributes such as bandwidth, latency, location awareness, resource constraints etc. In order to overcome these issues, the edge computing, which is known as manipulating the data at the edge of the network. In order to support various integrated features with IoT such as storage, networking, home energy management, augment reality fog computing provides resource access to the network edge of the user. In the user side it is confronted with serious security issues for data security. This article provides the augmentation and orchestration of security issues in fog computing. In this paper, first we check the architecture of fog computing. Then we suggest broad taxonomy of fog architecture with various architectures. Finally, this paper is concluded with scope and future research in fog computing

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“…Under the relay strategy X, let C * X denote the overall reduction 5 of forwarding hops and D * X denote the overall satisfaction 6 of delivery requirement, i.e.…”

Section: A Problem Formulationmentioning

confidence: 99%

“…In contrast with the conventional Internet, a network node in this IoT context could be different types of device embedded with network interface(s), such as intelligent appliances [2], multimedia sensors [3], and robotic actuators [4]. Within the context of IoT, the term 'smart object' (interchangeably used with the term 'node' in the remainder of this paper) is used to represent any possible thing that can provide data and/or undertake actions for IoT applications [5].…”

Section: Introductionmentioning

confidence: 99%

Exploiting Delay Budget Flexibility for Efficient Group Delivery in the Internet of Things

Yao

Sun

Phillips

et al. 2019

IEEE Internet Things J.

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Further accelerated by the Internet of Things (IoT) concept, various devices are being continuously introduced into diverse application scenarios. To achieve unattended updates of IoT smart object(s), there remains a challenging problem concerning how to efficiently deliver messages to specific groups of target nodes, especially considering node mobility. In this paper, the relay selection problem is investigated on the basis of directional movement with randomness (e.g. typically associated with the searching or migrating behaviour of animals). Unlike numerous works tackling one-to-one communication, we focus on efficient group delivery (one-to-many). A two-level delay budget model is considered to reflect the flexibility of delay tolerance, which brings potential efficiency gains for group delivery compared with using a single budget boundary. Following the description of the system model, a combinatorial bi-objective optimisation problem is formulated and solutions are proposed. Simulation results show that the greedy algorithm can achieve comparable performance to an evolutionary algorithm when the delivery satisfaction outweighs efficiency. Furthermore, we show that our proposed greedy scheme can outperform the state-of-theart when the delivery efficiency becomes increasingly important.

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A Platform for Smart Object Virtualization and Composition

Cited by 16 publications

References 15 publications

Analysis of Large-Scale Service Network Tolerance to Cascading Failure

Analysis of Large-Scale Service Network Tolerance to Cascading Failure

Augmentation and Orchestration of Security Techniques in Fog Computing

Exploiting Delay Budget Flexibility for Efficient Group Delivery in the Internet of Things

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