A Fault-Tolerant Agent-Based Architecture for Transient Servers in Fog Computing

With the rapid increase in demand for high performance computing, there is also a significant growth of data communication that leads to leverage the significance of network on chip. This paper proposes a reconfigurable fault tolerant on chip architecture with hierarchical agent based monitoring system for enhancing the performance of network based multiprocessor system on chip against faulty links and nodes. These distributed agents provide healthy status and congestion information of the network. This status information is used for further packet routing in the network with the help of XY routing algorithm. The functionality of Agent is enhanced not only to work as information provider but also to take decision for packet to either pass or stop to the processing element by setting the firewall in order to provide security. Proposed design provides a better performance and area optimization by avoiding deadlock and live lock as compared to existing approaches over network design.

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A Multi Agent Based Dynamic Resource Allocation in Fog-Cloud Computing Environment

Trends in Sciences ◽

10.48048/tis.2021.413 ◽

2021 ◽

Vol 18 (22) ◽

pp. 413

Author(s):

Ismail Zaharaddeen Yakubu ◽

Lele Muhammed ◽

Zainab Aliyu Musa ◽

Zakari Idris Matinja ◽

Ilya Musa Adamu

Keyword(s):

Resource Allocation ◽

Cloud Computing ◽

Fog Computing ◽

Dynamic Resource Allocation ◽

Computing Environment ◽

Cloud Computing Environment ◽

Agent Based ◽

Edge Network ◽

Dynamic Resource ◽

Iot Devices

Cloud high latency limitation has necessitated the introduction of Fog computing paradigm that extends computing infrastructures in the cloud data centers to the edge network. Extended cloud resources provide processing, storage and network services to time sensitive request associated to the Internet of Things (IoT) services in network edge. The rapid increase in adoption of IoT devices, variations in user requirements, limited processing and storage capacity of fog resources and problem of fog resources over saturation has made provisioning and allotment of computing resources in fog environment a formidable task. Satisfying application and request deadline is the most substantial challenge compared to other dynamic variations in parameters of client requirements. To curtail these issues, the integrated fog-cloud computing environment and efficient resource selection method is highly required. This paper proposed an agent based dynamic resource allocation that employs the use of host agent to analyze the QoSrequirements of application and request and select a suitable execution layer. The host agent forwards the application request to a layer agent which is responsible for the allocation of best resource that satisfies the requirement of the application request. Host agent and layers agents maintains resource information tables for matching of task and computing resources. CloudSim toolkit functionalities were extended to simulate a realistic fog environment where the proposed method is evaluated. The experimental results proved that the proposed method performs better in terms of processing time, latency and percentage QoS delivery. HIGHLIGHTS The distance between the cloud infrastructure and the edge IoT devices makes the cloud not too competent for some IoT applications, especially the sensitive ones To minimize the latency in the cloud and ensure prompt response to user requests, Fog computing, which extends the cloud services to edge network was introduced The proliferation in adoption of IoT devices and fog resource limitations has made resource scheduling in fog computing a tedious one GRAPHICAL ABSTRACT

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A multi-Agent based model for task scheduling in cloud-fog computing platform

2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT) ◽

10.1109/iciot48696.2020.9089625 ◽

2020 ◽

Author(s):

Fadoua Fellir ◽

Adnane El Attar ◽

Khalid Nafil ◽

Lawrence Chung

Keyword(s):

Task Scheduling ◽

Fog Computing ◽

Agent Based Model ◽

Agent Based ◽

Computing Platform ◽

Multi Agent

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A Multi-Agent-Based Data Collection and Aggregation Model for Fog-Enabled Cloud Monitoring

International Journal of Cloud Applications and Computing ◽

10.4018/ijcac.2021010104 ◽

2021 ◽

Vol 11 (1) ◽

pp. 73-92

Author(s):

Chetan M. Bulla ◽

Mahantesh N. Birje

Keyword(s):

Data Collection ◽

Fog Computing ◽

Communication Overhead ◽

Aggregation Model ◽

Agent Based ◽

Redundant Data ◽

Monitoring Process ◽

Proposed Model ◽

Cloud Monitoring ◽

Multi Agent

The fog-enabled cloud computing has received considerable attention as the fog nodes are deployed at the network edge to provide low latency. It involves various activities, such as configuration management, security management, and data management. Monitoring these activities is essential to improve performance and QoS of fog computing infrastructure. Data collection and aggregation are the basic tasks in the monitoring process, and these phases consume more communicational power as the IoT nodes generate a huge amount of redundant data frequently. In this paper, a multi-agent-based data collection and aggregation model is proposed for monitoring fog infrastructure. The data collection model adopts a hybrid push-pull algorithm that updates the data when a certain change in new data compared to old data. A tree-based data aggregation model is developed to reduce communication overhead between fog node and cloud. The experimental results show that the proposed model improves data coherency and reduces communication overhead compared to existing data collection and aggregation models.

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