A Novel Matching Theory Based Data Offloading Framework for a Fog Network with Selfish and Rational Nodes

Fog Computing is a new concept made by Cisco to provide same functionalities of Cloud Computing but near to Things to enhance performance such as reduce delay and response time. Packet loss may occur on single Fog server over a huge number of messages from Things because of several factors like limited bandwidth and capacity of queues in server. In this paper, Internet of Things based Fog-to-Cloud architecture is proposed to solve the problem of packet loss on Fog server using Load Balancing and virtualization. The architecture consists of 5 layers, namely: Things, gateway, Fog, Cloud, and application. Fog layer is virtualized to specified number of Fog servers using Graphical Network Simulator-3 and VirtualBox on local physical server. Server Load Balancing router is configured to distribute the huge traffic in Weighted Round Robin technique using Message Queue Telemetry Transport protocol. Then, maximum message from Fog layer are selected and sent to Cloud layer and the rest of messages are deleted within 1 hour using our proposed Data-in-Motion technique for storage, processing, and monitoring of messages. Thus, improving the performance of the Fog layer for storage and processing of messages, as well as reducing the packet loss to half and increasing throughput to 4 times than using single Fog server.

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Reforming the Labour Market in Good and Bad Times

10.1093/oso/9780198821878.003.0005 ◽

2018 ◽

Author(s):

Britta Gehrke ◽

Enzo Weber

Keyword(s):

Time Series ◽

Business Cycle ◽

Labour Market ◽

Markov Switching ◽

Matching Theory ◽

Market Reforms ◽

Structural Reforms ◽

Labour Market Reforms ◽

Short Run ◽

The Business Cycle

This chapter discusses how the effects of structural labour market reforms depend on whether the economy is in expansion or recession. Based on an empirical time series model with Markov switching that draws on search and matching theory, we propose a novel identification of reform outcomes and distinguish the effects of structural reforms that increase the flexibility of the labour market in distinct phases of the business cycle. We find in applications to Germany and Spain that reforms which are implemented in recessions have weaker expansionary effects in the short run. For policymakers, these results emphasize the costs of introducing labour market reforms in recessions.

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Intelligent circulation system modeling using bilateral matching theory under Internet of Things technology

The Journal of Supercomputing ◽

10.1007/s11227-021-03817-1 ◽

2021 ◽

Author(s):

Zhigang Gao ◽

Duchun Wang ◽

Hua Zhou

Keyword(s):

Internet Of Things ◽

System Modeling ◽

Matching Theory ◽

Circulation System ◽

Internet Of Things Technology

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Task Processing Energy Minimization Based on Hybrid Mode in D2D-Enabled Fog Network

2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC) ◽

10.1109/ccwc51732.2021.9376063 ◽

2021 ◽

Author(s):

Abdalafatah A. Almahi ◽

Xiaoge Huang ◽

Qianbin Chen

Keyword(s):

Energy Minimization ◽

Hybrid Mode ◽

Task Processing ◽

Processing Energy ◽

Fog Network

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ON THE CONVERGENCE RATE OF POTENTIALS OF BRENIER MAPS

Econometric Theory ◽

10.1017/s0266466621000037 ◽

2021 ◽

pp. 1-37

Author(s):

Florian F. Gunsilius

Keyword(s):

Convergence Rate ◽

Poincaré Inequality ◽

Optimal Transportation ◽

Matching Theory ◽

Economic Research ◽

Poincare Inequality ◽

Optimal Transportation Problem ◽

Minimax Rate ◽

The Cost ◽

Kantorovich Problem

The theory of optimal transportation has experienced a sharp increase in interest in many areas of economic research such as optimal matching theory and econometric identification. A particularly valuable tool, due to its convenient representation as the gradient of a convex function, has been the Brenier map: the matching obtained as the optimizer of the Monge–Kantorovich optimal transportation problem with the euclidean distance as the cost function. Despite its popularity, the statistical properties of the Brenier map have yet to be fully established, which impedes its practical use for estimation and inference. This article takes a first step in this direction by deriving a convergence rate for the simple plug-in estimator of the potential of the Brenier map via the semi-dual Monge–Kantorovich problem. Relying on classical results for the convergence of smoothed empirical processes, it is shown that this plug-in estimator converges in standard deviation to its population counterpart under the minimax rate of convergence of kernel density estimators if one of the probability measures satisfies the Poincaré inequality. Under a normalization of the potential, the result extends to convergence in the $L^2$ norm, while the Poincaré inequality is automatically satisfied. The main mathematical contribution of this article is an analysis of the second variation of the semi-dual Monge–Kantorovich problem, which is of independent interest.

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Social-Enabled Data Offloading via Mobile Participation - A Game-Theoretical Approach

2016 IEEE Global Communications Conference (GLOBECOM) ◽

10.1109/glocom.2016.7842274 ◽

2016 ◽

Cited By ~ 15

Author(s):

Xiaonan Zhang ◽

Linke Guo ◽

Ming Li ◽

Yuguang Fang

Keyword(s):

Theoretical Approach ◽

Data Offloading ◽

Game Theoretical Approach

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The Effect of Under- and Over-Benefited Support Gaps on Hurt Feelings, Esteem, and Relationships

Communication Research ◽

10.1177/0093650215605155 ◽

2015 ◽

Vol 46 (6) ◽

pp. 785-810 ◽

Cited By ~ 10

Author(s):

Rachel M. McLaren ◽

Andrew C. High

Keyword(s):

Matching Theory ◽

Informational Support ◽

Negative Outcomes ◽

Supportive Communication ◽

Optimal Matching ◽

Network Support ◽

Different Types ◽

Hurt Feelings ◽

Tangible Support

Although the supportive communication people receive from others during stressful times can be helpful, it can also result in negative outcomes. One explanation for these different effects might be how closely the support people receive matches their desires. This study extends optimal matching theory and examines how the discrepancy between the support people want and what they receive (called support gaps) corresponds with hurt feelings, perceived negative relational consequences, and esteem improvement. People can either receive less support than the desire (i.e., be under-benefited) or receive more support than they desire (i.e., be over-benefited), and these different types of support gaps produce distinct patterns of results. Specifically, action-facilitating support, which includes informational and tangible support, and nurturant support, which includes emotional, esteem, and network support, were studied. Results showed that being over-benefited in informational support and being under-benefited in emotional and esteem support is hurtful, and hurt corresponded with negative relational consequences and reduced esteem improvement. Implications for research on support gaps and hurt feelings are discussed.

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