An Online Market Mechanism for Edge Emergency Demand Response via Cloudlet Control

Chen, Shutong; Jiao, Lei; Wang, Lin; Liu, Fangming

doi:10.1109/infocom.2019.8737574

Cited by 58 publications

(15 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Higher computation power also allows task sharing among the high-speed network-equipped gateways if one of the gateways has too much execution load. Furthermore, to optimally distribute processing in edge gateways, a cloudlet and greedy auction-based computation can be implemented among the edge gateways [27].…”

Section: Edge Gatewaymentioning

confidence: 99%

Smart Parking System with Dynamic Pricing, Edge-Cloud Computing and LoRa

Sarker

Gia

Dhaou

et al. 2020

Sensors

View full text Add to dashboard Cite

A rapidly growing number of vehicles in recent years cause long traffic jams and difficulty in the management of traffic in cities. One of the most significant reasons for increased traffic jams on the road is random parking in unauthorized and non-permitted places. In addition, managing of available parking places cannot achieve the expected reduction in traffic congestion related problems due to mismanagement, lack of real-time parking guidance to the drivers, and general ignorance. As the number of roads, highways and related resources has not increased significantly, a rising need for a smart, dynamic and effective parking solution is observed. Accordingly, with the use of multiple sensors, appropriate communication network and advanced processing capabilities of edge and cloud computing, a smart parking system can help manage parking effectively and make it easier for the vehicle owners. In this paper, we propose a multi-layer architecture for smart parking system consisting of multi-parametric parking slot sensor nodes, latest long-range low-power wireless communication technology and Edge-Cloud computation. The proposed system enables dynamic management of parking for large areas while providing useful information to the drivers about available parking locations and related services through near real-time monitoring of vehicles. Furthermore, we propose a dynamic pricing algorithm to yield maximum possible revenue for the parking authority and optimum parking slot availability for the drivers.

show abstract

Section: Edge Gatewaymentioning

confidence: 99%

Smart Parking System with Dynamic Pricing, Edge-Cloud Computing and LoRa

Sarker

Gia

Dhaou

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…In their work, the resource allocation problem is expressed as an optimization problem, which minimizes the weighted and mobile energy consumption under the constraint of computational elasticity. However, the above literature does not take into account that the resource allocation of edge computing can be transformed into market behavior [3,26]. Considering the network economy in edge computing, in [26], the allocation of edge computing resources is transformed into Fisher market, and a new market-based resource allocation framework is proposed, in which the service provider is the buyer and the edge computing resource is the commodity in the market.…”

Section: Related Workmentioning

confidence: 99%

DPODA: Differential Privacy-based Online Double Auction for Pervasive Edge Computing Resource Allocation

Sun

et al. 2020

Proceedings of the 2nd ACM International Symposium on Blockchain and Secure Critical Infrastructure

View full text Add to dashboard Cite

In recent years, edge computing transforms the network edge into an intelligent platform to provide better services for users by making storage, computing, control and network function closer to end-users, things, and sensors. However, due to the limitation of edge resources and the diversity of edge resource providers, there is no good mechanism to solve the resource allocation problem in the edge computing resource allocation market. Aiming at the problem of resource allocation in edge computing, this paper proposes a double auction scheme-DPODA. This scheme establishes the auction market of edge computing resources, which can improve the social welfare of auction to the maximum extent. Moreover, as the private information of users in the auction market may affect market transactions, in order to solve this problem, this paper uses differential privacy technology to effectively protect the privacy of both sides of the auction, so as to avoid the unfairness in the auction market. A large number of simulation experiments show that the algorithm proposed in this paper not only achieves the research purpose but also ensures the privacy information security of the auctioneer. CCS CONCEPTS • Security and privacy Human and societal aspects of security and privacy; • Networks Cloud computing; • Humancentered computing Ubiquitous and mobile computing; • Theory of computatio Online algorithms;

show abstract

“…Edge devices generally come with limited computational power and need to tackle energy consumption issues, which also arise in hybrid mobile-Cloud contexts, as pointed out in [12], where authors provide their own solution to the issue. Energy consumption is also the main issue considered in [14], where the authors propose an Online Market mechanism to favour the partecipation of distributed cloudlets in Emergency Demand Response (EDR) programs.…”

Section: Related Workmentioning

confidence: 99%

A Methodology Based on Computational Patterns for Offloading of Big Data Applications on Cloud-Edge Platforms

et al. 2020

View full text Add to dashboard Cite

Internet of Things (IoT) is becoming a widespread reality, as interconnected smart devices and sensors have overtaken the IT market and invaded every aspect of the human life. This kind of development, while already foreseen by IT experts, implies additional stress to already congested networks, and may require further investments in computational power when considering centralized and Cloud based solutions. That is why a common trend is to rely on local resources, provided by smart devices themselves or by aggregators, to deal with part of the required computations: this is the base concept behind Fog Computing, which is becoming increasingly adopted as a distributed calculation solution. In this paper a methodology, initially developed within the TOREADOR European project for the distribution of Big Data computations over Cloud platforms, will be described and applied to an algorithm for the prediction of energy consumption on the basis of data coming from home sensors, already employed within the CoSSMic European Project. The objective is to demonstrate that, by applying such a methodology, it is possible to improve the calculation performances and reduce communication with centralized resources.

show abstract

An Online Market Mechanism for Edge Emergency Demand Response via Cloudlet Control

Cited by 58 publications

References 23 publications

Smart Parking System with Dynamic Pricing, Edge-Cloud Computing and LoRa

Smart Parking System with Dynamic Pricing, Edge-Cloud Computing and LoRa

DPODA: Differential Privacy-based Online Double Auction for Pervasive Edge Computing Resource Allocation

A Methodology Based on Computational Patterns for Offloading of Big Data Applications on Cloud-Edge Platforms

Contact Info

Product

Resources

About