scholarly journals vFog: A Vehicle-Assisted Computing Framework for Delay-Sensitive Applications in Smart Cities

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 34900-34909 ◽  
Author(s):  
Syed Sarmad Shah ◽  
Muhammad Ali ◽  
Asad Waqar Malik ◽  
Muazzam A. Khan ◽  
Sri Devi Ravana
Keyword(s):  
Smart Cities ◽  
Delay Sensitive ◽  
Computing Framework

scholarly journals Sustainable Smart Cities: A Fog Computing Framework for a Smart Urban Transport Network

2018 ◽  
Vol 28 (4) ◽  
pp. 68-80 ◽  
Author(s):  
Ioan-Mădălin Neagu
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Fog Computing ◽  
Urban Transport ◽  
Transport Network ◽  
Social Implications ◽  
End User ◽  
Funding Sources ◽  
Computing Framework

Abstract In the present paper, a fog computing framework for smart urban transport is developed. The proposed framework is adapted to the smart city concept. It uses a collaborative multitude of end-user clients to carry out a substantial amount of communication and computation. It can be adapted for specific situations of smart cities in Romania, such as: Cluj-Napoca, Timișoara, Iași or Bucharest. Economic and social implications as well as available European funding sources are presented.

scholarly journals Internet of Things-Based Energy Efficiency Optimization Model in Fog Smart Cities

2021 ◽  
Vol 5 (2) ◽  
pp. 105
Author(s):  
Wasswa Shafik ◽  
S. Mojtaba Matinkhah ◽  
Mamman Nur Sanda ◽  
Fawad Shokoor
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Internet Of Things ◽  
Response Time ◽  
Smart Grids ◽  
Smart Cities ◽  
Fog Computing ◽  
The Internet ◽  
Delay Sensitive ◽  
Service Delay

In recent years, the IoT) Internet of Things (IoT) allows devices to connect to the Internet that has become a promising research area mainly due to the constant emerging of the dynamic improvement of technologies and their associated challenges. In an approach to solve these challenges, fog computing came to play since it closely manages IoT connectivity. Fog-Enabled Smart Cities (IoT-ESC) portrays equitable energy consumption of a 7% reduction from 18.2% renewable energy contribution, which extends resource computation as a great advantage. The initialization of IoT-Enabled Smart Grids including (FESC) like fog nodes in fog computing, reduced workload in Terminal Nodes services (TNs) that are the sensors and actuators of the Internet of Things (IoT) set up. This paper proposes an integrated energy-efficiency model computation about the response time and delays service minimization delay in FESC. The FESC gives an impression of an auspicious computing model for location, time, and delay-sensitive applications supporting vertically -isolated, service delay, sensitive solicitations by providing abundant, ascendable, and scattered figuring stowage and system associativity. We first reviewed the persisting challenges in the proposed state-of-the models and based on them. We introduce a new model to address mainly energy efficiency about response time and the service delays in IoT-ESC. The iFogsim simulated results demonstrated that the proposed model minimized service delay and reduced energy consumption during computation. We employed IoT-ESC to decide autonomously or semi-autonomously whether the computation is to be made on Fog nodes or its transfer to the cloud.

scholarly journals Big Data in Motion: A Vehicle-Assisted Urban Computing Framework for Smart Cities

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 55951-55965 ◽  
Author(s):  
Murk ◽  
Asad Waqar Malik ◽  
Imran Mahmood ◽  
Nadeem Ahmed ◽  
Zahid Anwar
Keyword(s):  
Big Data ◽  
Smart Cities ◽  
Urban Computing ◽  
Computing Framework

A Mobile-assisted Edge Computing Framework for Emerging IoT Applications

2021 ◽  
Vol 17 (4) ◽  
pp. 1-24
Author(s):  
Deke Guo ◽  
Siyuan Gu ◽  
Junjie Xie ◽  
Lailong Luo ◽  
Xueshan Luo ◽  
...  
Keyword(s):  
Profit Maximization ◽  
Edge Computing ◽  
Task Completion ◽  
Service Provisioning ◽  
Specific Service ◽  
Peak Period ◽  
Auction Mechanism ◽  
Iot Applications ◽  
Delay Sensitive ◽  
Computing Framework

Edge computing (EC) is a promising paradigm for providing ultra-low latency experience for IoT applications at the network edge, through pre-caching required services in fixed edge nodes. However, the supply-demand mismatch can arise while meeting the peak period of some specific service requests. The mismatch between capacity provision and user demands can be fatal to the delay-sensitive user requests of emerging IoT applications and will be further exacerbated due to the long service provisioning cycle. To tackle this problem, we propose the mobile-assisted edge computing framework to improve the QoS of fixed edge nodes by exploiting mobile edge nodes. Furthermore, we devise a CRI (Credible, Reciprocal, and Incentive) auction mechanism to stimulate mobile edge nodes to participate in the services for user requests. The advantages of our mobile-assisted edge computing framework include higher task completion rate, profit maximization, and computational efficiency. Meanwhile, the theoretical analysis and experimental results guarantee the desirable economic properties of our CRI auction mechanism.

Vehicle-assisted framework for delay-sensitive applications in smart cities

2021 ◽  
pp. 175-199
Author(s):  
Tayyaba Zaheer ◽  
Sarah Iqbal ◽  
Asad Waqar Malik ◽  
Anis U. Rahman ◽  
Zeseya Sharmin
Keyword(s):  
Smart Cities ◽  
Delay Sensitive

ANALISIS EFEKTIFITAS FRAMEWOK ERP CLOUD COMPUTING UNTUK USAHA KECIL MENENGAH

2018 ◽  
Vol 3 (1) ◽  
pp. 19 ◽  
Author(s):  
Matheus Alvian Wikanargo ◽  
Novian Adi Prasetyo ◽  
Angelina Pramana Thenata
Keyword(s):  
Cloud Computing ◽  
Human Resource ◽  
Software As A Service ◽  
Infrastructure As A Service ◽  
Computing Framework

AbstrakTeknologi cloud computing pada era sekarang berkembang pesat. Penerapan teknologi cloud computing sudah merambah ke berbagai industri, mulai dari perusahaan besar hingga perusahaan kecil dan menengah. Perambahan cloud computing di perindustrian berupa implementasi ke dalam sistem ERP. Namun, penetrasi teknologi ini dalam lingkup perusahaan kecil dan menengah (UKM) masih belum sekuat perusahaan besar. Penerapan ERP berbasis cloud computing yang masih tergolong baru tentu memiliki keuntungan dan penghambat yang mempengaruhi kinerja perusahaan. Hal tersebut menjadi salah satu pertimbangan UKM masih enggan menggunakan teknologi ini. Penelitian ini akan menganalisis framework yang paling sesuai untuk UKM dalam menerapkan sistem ERP berbasis cloud computing. Framework yang dianalisa yaitu Software as a Service (SaaS), Infrastructure as a Service (IaaS), dan Platform as as Service (PaaS). Ketiga framework ini akan dibandingkan menggunakan metode studi literatur. Tolak ukur yang menjadi acuan untuk perbandingan adalah Compatibility, Cost, Flexibility, Human Resource, Implementation, Maintenance, Security, dan Usability. Faktor-faktor tersebut akan diukur keuntungan dan penghambatnya jika diterapkan dalam SME. Hasil dari penilitian ini adalah Framework SaaS yang paling cocok untuk diterapkan pada perusahaan kecil dan menengah. Kata kunci— Cloud Computing, UKM, SaaS, IaaS, PaaS 

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