A Fuzzy AHP Approach for Prioritizing Fog Computing Security Parameters

2022 ◽  
pp. 535-543
Author(s):  
Jasleen Kaur ◽  
Alka Agrawal ◽  
Raees Ahmad Khan
Keyword(s):  
Fuzzy Ahp ◽  
Fog Computing

A Fuzzy-AHP based prioritization of trust criteria in fog computing services

2020 ◽  
Vol 97 ◽  
pp. 106789
Author(s):  
Sunday Oyinlola Ogundoyin ◽  
Ismaila Adeniyi Kamil
Keyword(s):  
Fuzzy Ahp ◽  
Fog Computing ◽  
Computing Services

Integrated FAHP-VIKOR model for green supplier selection in a Nickle coating SME

2020 ◽  
pp. 133-139
Author(s):  
Sanatan Ratna ◽  
B Kumar
Keyword(s):  
Staff Training ◽  
Supplier Selection ◽  
Fuzzy Ahp ◽  
Research Work ◽  
Supplier Evaluation ◽  
Green Supplier Selection ◽  
The Past ◽  
Coating Industry ◽  
Sustainability Issue ◽  
Selection Of

In the past few decades, there has been lot of focus on the issue of sustainability. This has occurred due to the growing concerns related to climate change and the growing awareness about environmental concerns. Also, the competition at global level has led to the search for the most sustainable route in the industries. The current research work deals with the selection of green supplier in a Nickle coating industry based on certain weighted green attributes. For this purpose, a hybrid tool comprising of Fuzzy AHP (Fuzzy Analytical Hierarchy) and VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) is used. The Fuzzy AHP is used for assigning proper weights to the selected criteria for supplier evaluation, while VIKOR is used for final supplier selection based on the weighted criteria. The three criterions for green supplier selection are, Ecological packaging, Corporate socio-environmental responsibility and Staff Training. The outcome of the integrated model may serve as a steppingstone to other SMEs in different sectors for selecting the most suitable supplier for addressing the sustainability issue.

Virtualized Fog Network with Load Balancing for IoT based Fog-to-Cloud

2020 ◽  
Vol 4 (3) ◽  
Author(s):  
Istabraq M. Al-Joboury ◽  
Emad H. Al-Hemiary
Keyword(s):  
Load Balancing ◽  
Packet Loss ◽  
Fog Computing ◽  
Transport Protocol ◽  
Network Simulator ◽  
Huge Number ◽  
Message Queue ◽  
Limited Bandwidth ◽  
Cloud Architecture ◽  
Fog Network

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.

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PENERIMA BEASISWA DI MADRASAH MENGGUNAKAN FUZZY AHP

2019 ◽  
Vol 2 (2) ◽  
pp. 24-31
Author(s):  
Achmad Sutrisno ◽  
Eka Rahayu Setyaningsih ◽  
Judi Projetno Sugiono
Keyword(s):  
Fuzzy Ahp

Kementrian Agama Wilayah Jawa Timur melalui Madrasah Aliyah Negeri (MAN) 1 Pasuruan berupaya mengalokasikan dana untuk memberikan bantuan pendidikan kepada siswa dilingkungan MAN 1 Pasuruan dari keluarga tidak mampu dan bagi mereka yang memiliki prestasi tinggi pada bidang akademik maupun non akademik. Oleh karena itu, penelitian ini bertujuan untuk memberikan rekomendasi siapa saja siswa yang layak untuk menerima beasiswa dari Madrasah. Kriteria yang digunakan untuk menilai kelayakan siswa memperoleh beasiswa terdiri dari, pertama adalah jumlah penghasilan orang tua (C1), kedua tanggungan keluarga (C2), ketiga penggunaan alat transportasi ke sekolah (C3), keempat nilai rapot (C4), kelima prestasi yang dicapai (C5) dan keenam kepemilikan tempat tinggal (C6). Metode yang digunakan dalam penelitian ini adalah Fuzzy Analytic Hierarcy Process (FAHP) karena metode tersebut adalah gabungan dari metode AHP dan pendekatan konsep fuzzy, FAHP menutupi kelemahan yang terdapat pada AHP, yaitu permasalahan terhadap kriteria yang memiliki sifat subjektif lebih banyak. Berdasarkan hasil analisa perhitungan tingkat kepentingan, temuan penelitian memberikan bobot prioritas kriteria jumlah jumlah penghasilan orang tua (C1=0.20), bobot prioritas kriteria tanggungan keluarga (C2=0.13), bobot prioritas kriteria penggunaan alat transportasi ke sekolah (C3=0.12), bobot prioritas kriteria nilai rapot (C4=0.20), bobot prioritas kriteria prestasi yang dicapai (C5=0.20) dan bobot prioritas kriteria kepemilikan tempat tinggal (C6=0.16). Kontribusi penelitian ini sebagai pertimbangan bagi Kepala Madrasah untuk menentukan kebijakan terhadap pemberian beasiswa Madrasah untuk siswa yang tidak mampu dan berprestasi karena terbatasnya kuota pendanaan yang tersedia

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