A partnership-based approach to improve QoS on federated computing infrastructures

Comi, Antonello; Fotia, Lidia; Messina, Fabrizio; Rosaci, Domenico; Sarné, Giuseppe M. L.

doi:10.1016/j.ins.2016.05.051

Cited by 17 publications

(7 citation statements)

References 30 publications

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“…Trust is a well-recognized property of data and data exchanges [6], but the requirement of data trust has highly increased in relevance in recent years when large IoT networks began operating in different and critical domains (health, finance, military and similar) [7,8]. The intuitive concept of adding trust to a dataset that will be exchanged among several parties emerged several years ago, with a problem of stability and discoverability of the Internet resources over time (http 404 error).…”

Section: State Of the Artmentioning

confidence: 99%

Enhancing IoT Data Dependability through a Blockchain Mirror Model

Bellini¹,

Bellini

Gherardelli

et al. 2019

Future Internet

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The Internet of Things (IoT) is a remarkable data producer and these data may be used to prevent or detect security vulnerabilities and increase productivity by the adoption of statistical and Artificial Intelligence (AI) techniques. However, these desirable benefits are gained if data from IoT networks are dependable—this is where blockchain comes into play. In fact, through blockchain, critical IoT data may be trusted, i.e., considered valid for any subsequent processing. A simple formal model named “the Mirror Model” is proposed to connect IoT data organized in traditional models to assets of trust in a blockchain. The Mirror Model sets some formal conditions to produce trusted data that remain trusted over time. A possible practical implementation of an application programming interface (API) is proposed, which keeps the data and the trust model in synch. Finally, it is noted that the Mirror Model enforces a top-down approach from reality to implementation instead of going the opposite way as it is now the practice when referring to blockchain and the IoT.

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Section: State Of the Artmentioning

confidence: 99%

Enhancing IoT Data Dependability through a Blockchain Mirror Model

Bellini¹,

Bellini

Gherardelli

et al. 2019

Future Internet

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“…The ability of the system to efficiently locate and provide the needed resources to the clients is vital. Recently, some researchers [24,25] have tried to increase and optimize the QoS by using computing environments such as Cloud/Grid systems that comprise of several trusted nodes to manage local resources individually. A trust model is associated with each node that accurately evaluates the trustworthiness of its communicating clients [24].…”

Section: The Goals and Challenges Of Middleware Architectures For mentioning

confidence: 99%

“…Another approach, called the partnership based approach [25], is introduced to maximize the QoS by improving and optimizing the global QoS for the large-scale federated resources [25]. This approach combines the trust models for software agents to support the federated computing nodes.…”

Section: The Goals and Challenges Of Middleware Architectures For mentioning

confidence: 99%

“…The Friendship and Group Formation (FGF) algorithms used in this approach enable the federated nodes to select their FGM that can increase and improve the global QoS. The authors in [25] showed metrics that allow most suitable resources in such Grid/Cloud systems. Potential collaborations and competition between resources providers for clients’ needs are explored by the federation of computing.…”

Section: The Goals and Challenges Of Middleware Architectures For mentioning

confidence: 99%

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Performance and Challenges of Service-Oriented Architecture for Wireless Sensor Networks

Alshinina

Elleithy

2017

Sensors

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Wireless Sensor Networks (WSNs) have become essential components for a variety of environmental, surveillance, military, traffic control, and healthcare applications. These applications face critical challenges such as communication, security, power consumption, data aggregation, heterogeneities of sensor hardware, and Quality of Service (QoS) issues. Service-Oriented Architecture (SOA) is a software architecture that can be integrated with WSN applications to address those challenges. The SOA middleware bridges the gap between the high-level requirements of different applications and the hardware constraints of WSNs. This survey explores state-of-the-art approaches based on SOA and Service-Oriented Middleware (SOM) architecture that provide solutions for WSN challenges. The categories of this paper are based on approaches of SOA with and without middleware for WSNs. Additionally, features of SOA and middleware architectures for WSNs are compared to achieve more robust and efficient network performance. Design issues of SOA middleware for WSNs and its characteristics are also highlighted. The paper concludes with future research directions in SOM architecture to meet all requirements of emerging application of WSNs.

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“…MCC enables the large-scale collection and processing of personal private data such as individuals' locations and electronic medical records [5,6,26,32]. The processing of this information using big data analytics has become a hot topic in MCC.…”

Section: Introductionmentioning

confidence: 99%

Toward better data veracity in mobile cloud computing: A context-aware and incentive-based reputation mechanism

Lin

Tian

et al. 2017

Information Sciences

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Abstract:As a promising next-generation computing paradigm, Mobile Cloud Computing (MCC) enables the large-scale collection and big data processing of personal private data. An important but often overlooked V of big data is data veracity, which ensures that the data used are trusted, authentic, accurate and protected from unauthorized access and modification. In order to realize the veracity of data in MCC, specific trust models and approaches must be developed. In this paper, a Category-based Context-aware and Recommendation incentive-based reputation Mechanism (CCRM) is proposed to defend against internal attacks and enhance data veracity in MCC. In the CCRM, innovative methods, including a data category and context sensing technology, a security relevance evaluation model, and a Vickrey-Clark-Groves (VCG)-based recommendation incentive scheme, are integrated into the process of reputation evaluation. Cost analysis indicates that the CCRM has a linear communication and computation complexity. Simulation results demonstrate the superior performance of the CCRM compared to existing reputation mechanisms under internal collusion attacks and bad mouthing attacks.

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A partnership-based approach to improve QoS on federated computing infrastructures

Cited by 17 publications

References 30 publications

Enhancing IoT Data Dependability through a Blockchain Mirror Model

Enhancing IoT Data Dependability through a Blockchain Mirror Model

Performance and Challenges of Service-Oriented Architecture for Wireless Sensor Networks

Toward better data veracity in mobile cloud computing: A context-aware and incentive-based reputation mechanism

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