Auction-Based Algorithms for Routing and Task Scheduling in Federated Networks

Ehsanfar, Abbas; Grogan, Paul

doi:10.1007/s10922-019-09506-y

Cited by 8 publications

(2 citation statements)

References 43 publications

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“…Secondly, mobile nodes with personal information can be tracked down and become vulnerable through known attacks like eavesdropping, denial of service, replay, and repudiation [9,10]. The higher speed requires a high quality of service (QoS) in terms of execution time, while a higher volume of data is transferred.…”

Section: Motivationmentioning

confidence: 99%

A Federated Learning Approach to Frequent Itemset Mining in Cyber-Physical Systems

2021

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Effective vector representation has been proven useful for transaction classification and clustering tasks in Cyber-Physical Systems. Traditional methods use heuristic-based approaches and different pruning strategies to discover the required patterns efficiently. With the extensive and high dimensional availability of transactional data in cyber-physical systems, traditional methods that used frequent itemsets (FIs) as features suffer from dimensionality, sparsity, and privacy issues. In this paper, we first propose a federated learning-based embedding model for the transaction classification task. The model takes transaction data as a set of frequent item-sets. Afterward, the model can learn low dimensional continuous vectors by preserving the frequent item-sets contextual relationship. We perform an in-depth experimental analysis on the number of high dimensional transactional data to verify the developed models with attention-based mechanism and federated learning. From the results, it can be seen that the designed model can help and improve the decision boundary by reducing the global loss function while maintaining both security and privacy.

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Section: Motivationmentioning

confidence: 99%

A Federated Learning Approach to Frequent Itemset Mining in Cyber-Physical Systems

2021

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“…Previous research [12] centered on fairly assigning the value of the satellite resources according to the provider concurrence, and customer demand. An operational model was developed in [13] to allocate processing, storage and communication resources to computational demands.…”

Section: Introductionmentioning

confidence: 99%

A Novel Dissemination Protocol to Deploy Opportunistic Services in Federated Satellite Systems

2020

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Earth Observation applications are demanding higher spatial resolution and shorter revisit times than existing systems, which can be met by ad-hoc constellations of Federated Satellite Systems. These systems are distributed satellite architectures which rely on the collaboration between satellites that share unused resources, such as memory storage, computing capabilities, or downlink opportunities. In the same context, the Internet of Satellites paradigm expands the federation concept to a multi-hop scenario, without predefining a particular satellite system architecture, and deploying temporal satellite networks. The basis of both concepts is the offer of unused satellite resources as services. Therefore, it is necessary that satellites notify their availability to the other satellites that compose the system. This work presents a novel Opportunistic Service Availability Dissemination Protocol, which allows a satellite to publish an available service to be consumed by others. Details of the protocol behavior, and packet formats are presented as part of the protocol definition. The protocol has been verified in a realistic scenario composed of Earth Observation satellites, and the Telesat mega-constellation as network backbone. The achieved results demonstrate the benefits of using a protocol as the proposed one, which in some cases even doubles the amount of data that can be downloaded. To the best of our knowledge, this proposal is the first protocol that allows deploying opportunistic services for Federated Satellite Systems.

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Research on Task Scheduling Algorithm of Cloud Computing Based on Bilateral Selection

Yang

Zhang

2021

Advances in Intelligent Systems and Computing

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Auction-Based Algorithms for Routing and Task Scheduling in Federated Networks

Cited by 8 publications

References 43 publications

A Federated Learning Approach to Frequent Itemset Mining in Cyber-Physical Systems

A Federated Learning Approach to Frequent Itemset Mining in Cyber-Physical Systems

A Novel Dissemination Protocol to Deploy Opportunistic Services in Federated Satellite Systems

Research on Task Scheduling Algorithm of Cloud Computing Based on Bilateral Selection

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