Arif AhmedUniversité de Rennes 1 | UR1 · UFR Informatique et Electronique (ISTIC)
Arif Ahmed
Doctor of Philosophy
About
27
Publications
116,030
Reads
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1,829
Citations
Citations since 2017
Introduction
Edge Cloud Computing, Distribute computing, Ubiquitous computing
Additional affiliations
June 2020 - present
Education
August 2012 - May 2014
July 2008 - May 2012
July 2006 - June 2008
Adharchand Higher Secondary School, Silchar, India
Field of study
- Science
Publications
Publications (27)
Providing service-level energy efficiency (EE) information could be
beneficial in many aspects. It can provide a thorough understanding of the
energy footprint of an edge service, enable new service-related value add
for the service and support for further optimization of EE. It is generally
challenging to provide energy efficiency related informat...
Edge technology aims to bring cloud resources (specifically, the computation, storage, and network) to the closed proximity of the edge devices, i.e., smart devices where the data are produced and consumed. Embedding computing and application in edge devices lead to emerging of two new concepts in edge technology: edge computing and edge analytics....
Edge technology aims to bring Cloud resources (specifically, the compute, storage, and network) to the closed proximity of the Edge devices, i.e., smart devices where the data are produced and consumed. Embedding computing and application in Edge devices lead to emerging of two new concepts in Edge technology, namely, Edge computing and Edge analyt...
![Figure 2.4 -Docker architecture (adapted from [93]).](profile/Arif-Ahmed-17/publication/339401540/figure/fig3/AS:860975158808579@1582283882788/Docker-architecture-adapted-from-93_Q320.jpg)
Fog computing architectures are composed of a large number of machines distributed across a geographical area such as a city or a region. In this context it is important to support a quick startup of applications deployed in the for of docker containers. This thesis explores the reasons for slow deployment and identifies three improvement opportuni...
![Figure 2.4 -Docker architecture (adapted from [93]).](profile/Arif-Ahmed-17/publication/344180037/figure/fig3/AS:934037623431169@1599703331924/Docker-architecture-adapted-from-93_Q320.jpg)
Fog computing architectures are composed of a large number of machines distributed across a geographical area such as a city or a region. In this context it is important to support a quick startup of applications deployed in the for of docker containers. This thesis explores the reasons for slow deployment and identifies three improvement opportuni...
The transition from virtual machine-based infrastructures to container-based ones brings the promise of swift and efficient software deployment in large-scale computing infrastructures. However, in fog computing environments which are often made of very small computers such as Raspberry PIs, deploying even a very simple Docker container may take mu...
Fog computing platforms offer virtualized resources located in the vicinity of their end users. Their broad geographical distribution force them to split physical resources in large
numbers of relatively weak machines. The limited available disk space per fog node however creates problems for Docker-based systems which locally cache a copy of every...
Consciousness of energy saving is increasing in fifth-generation (5G) wireless networks due to the high energy consumption issue. Energy harvesting technology is a possible appealing solution for ultimately prolonging the lifetime of devices and networks. Although considerable research efforts have been conducted in the context of using energy harv...
The transition from virtual machine-based infrastructures to container-based ones brings the promise of swift and efficient software deployment in large-scale computing infrastructures. However, in fog computing environments which are often made of very small computers such as Raspberry PIs, deploying even a very simple Docker container may take mu...
Fog computing was designed to support the specific needs of latency-critical applications such as augmented reality, and IoT applications which produce massive volumes of data that are impractical to send to faraway cloud data centers for analysis. However this also created new opportunities for a wider range of applications which in turn impose th...
In recent years, the Edge computing paradigm has gained considerable popularity in academic and industrial circles. It serves as a key enabler for many future technologies like 5G, Internet of Things (IoT), augmented reality and vehicle-to-vehicle communications by connecting cloud computing facilities and services to the end users. The Edge comput...
The explosive growth of smart objects and their dependency on wireless technologies for communication increases the vulnerability of Internet of Things (IoT) to cyberattacks. Cyberattacks faced by IoT present daunting challenges to digital forensic experts. Researchers adopt various forensic techniques to investigate such attacks. These techniques...
The Big Data is a huge unmanageable set of data that call for store, process, and analyze these data. The Big Data is going colossal per day as well as metadata size. It is the time to bring in the distributed Metadata Server (dMDS) to appease the hunger of data scientist to conquer the dilemma of storing, processing, and analyzing the hysterical d...
The virtually unlimited available resources and wide range of services provided by the cloud have resulted in the emergence of new cloud-based applications, such as smart grids, smart building control, and virtual reality. These developments, however, have also been accompanied by a problem for delay-sensitive applications that have stringent delay...
Cloud computing data centers are composed of powerful computing nodes connected by reliable backbone networks. However, these resources are concentrated in a small number of data centers. The latency between an end user and the closest available cloud data center comes in the range of 20-40 ms (over wired networks) and up to 150 ms (over 4G mobile...
The Big Data is the most prominent paradigm now-a-days. The Big Data starts rule slowly from 2003, and expected to rule and dominate the IT industries at least up to 2030. Furthermore, the Big Data conquer the technological war and easily capture the entire market since 2009. The Big Data is blasting everywhere around the World in every domain. The...
The consciousness of environmental problems has attracted the industry's attention toward the reduction of unnecessary energy emission by enabling green industrial networking. The reduction of unnecessary energy emitted by industrial networks can be a possible solution to many environmental issues. Green industrial networking is in its infancy, and...
The Big Data is a huge unmanageable set of data that call for store, process and analyze theses data. The Big Data is going colossal per day as well as metadata size. It is the time to bring in the distributed Metadata Sever (dMDS) to appease the hunger of data scientist to conquer the dilemma of storing, processing and analyzing the hysterical dat...
Mobile Edge Computing is an emerging technology that provides cloud and IT services within the close proximity of mobile subscribers. Traditional telecom network operators perform traffic control flow (forwarding and filtering of packets), but in Mobile Edge Computing, cloud servers are also deployed in each base station. Therefore, network operato...
![Fig. 1: Mobile Cloud Computing Architecture[8]](profile/Arif-Ahmed-17/publication/284133685/figure/fig1/AS:297058213875718@1447835605603/Mobile-Cloud-Computing-Architecture8_Q320.jpg)
Cloud computing is a paradigm in high performance computing, fo-cuses on provisioning ubiquitous computing with the help of Software and/or Hardware Virtualization. In Mobile Cloud Computing (MCC), mobile/portable devices access cloud resources through wireless communication(GPRS/3G/WiFi etc). MCC enhances the mobility of the cloud user which solve...
With the increase in network connectivity and possibility of low-cost cloud resources, dynamic task offloading to the cloud seems to be an ideal solution to improve performance of mobile devices along with saving on battery consumption. Mobile Cloud Computing (MCC) allows extending limited resources available on mobile devices to execute complex an...
![Figure 1.Cloud Computing Layers[50]](profile/Arif-Ahmed-17/publication/261436186/figure/fig4/AS:668570602184719@1536411061398/Cloud-Computing-Layers50_Q320.jpg)
![Figure 2. Overview of MDCsim Simulator[24].](profile/Arif-Ahmed-17/publication/261436186/figure/fig1/AS:296880190836754@1447793161538/Overview-of-MDCsim-Simulator24_Q320.jpg)
![Figure 3. Execution Flow Diagram in MR-CloudSim[31].](profile/Arif-Ahmed-17/publication/261436186/figure/fig2/AS:296880190836755@1447793161566/Execution-Flow-Diagram-in-MR-CloudSim31_Q320.jpg)
![Figure 4. Block Diagram of SmartSim Simulator[16].](profile/Arif-Ahmed-17/publication/261436186/figure/fig3/AS:296880190836757@1447793161585/Block-Diagram-of-SmartSim-Simulator16_Q320.jpg)
Cloud computing is one of the emerging technologies with its ease of access and diverse applicability, letting customers attracted to it and thus posing many challenging issues that need to overcome in this field. Since the evolution of cloud computing: Load balancing, power constrains, program offloading, cost modelling and security issues are the...
![Figure 1. Mobile cloud computing architecture [12].](profile/Ribata-Najoua/publication/260038218/figure/fig1/AS:297118255337482@1447849920563/Mobile-cloud-computing-architecture-12_Q320.jpg)
Together with the emergence of cloud computing as a delivering arena and the increasing number of the mobile users and its applications in all area, including education; Mobile Cloud Computing-based Learning (MCCL) is considered as the most potential greater cost-reducing technology. Our contribution in this paper provides a comprehensive survey on...
Questions
Questions (5)
Both VM and Conatiner are used for creating virtualization and deploying virtual resources. I wonder whIch of them is best on what condition and the type of the application?
Cloud Computing, Task Scheduling
Application running in cloud server.
Mobile Cloud Computing deals with recent technology advancement in both mobile terminal and cloud service that affect both and the interfaces.
Software-defined networking is a technology that deals with the separation of control plan and data plan in networking.
Projects
Projects (3)
Context: Servers in fog infrastructures are massively distributed. They are primarily built with low-cost, physically small, energy-efficient computers such as single-board Raspberry Pis which has low compute, storage and network capacity. The inter-network between those servers are also relatively slow. In one sense, resource-constrained is the main bottleneck of fog environments.
Project: The main goal of this project is to investigate cloud application deployment in distributed fog infrastructures. It is expected that users of fog computing are mobile and they are expected to roam freely from one place to another. In such scenarios, applications will be deployed more frequently to the closest servers from the user in order to achieve minimum user to server latency. Therefore, it is very important to study application deployment time in such resource-constrained fog servers. This project aims to investigate the reason behind the slow application deployment and then propose optimization solutions to reduce the cloud application deployment time in distributed fog environment.
To improve Quality of Service (QoS) of Mobile Cloud Computing (MCC) using Machine Learning techniques.
