scholarly journals Design Smart E-Government Application by Proposed A Hybrid Architecture Model Depend on Edge and Cloud Computing

2022 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Ayad Hasan Adhab ◽  
Emir Kalik ◽  
Ahmed K. Al Ani
Keyword(s):  
Cloud Computing ◽  
Hybrid Architecture ◽  
Architecture Model

scholarly journals Multilayer Architecture Model for Mobile Cloud Computing Paradigm

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Higinio Mora ◽  
Francisco J. Mora Gimeno ◽  
María Teresa Signes-Pont ◽  
Bruno Volckaert
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Comprehensive Model ◽  
Architecture Model ◽  
Network Layers ◽  
Computing Paradigm ◽  
Multilayer Architecture ◽  
Computing Platforms ◽  
Cloud Servers

Mobile Cloud Computing is one of today's more disruptive paradigms of computation due to its effects on the performance of mobile computing and the development of Internet of Things. It is able to enhance the capabilities of devices by outsourcing the workload to external computing platforms deployed along the network, such as cloud servers, cloudlets, or other edge platforms. The research described in this work presents a computational model of a multilayer architecture for increasing the performance of devices using the Mobile Cloud Computing paradigm. The main novelty of this work lies in defining a comprehensive model where all the available computing platforms along the network layers are involved to perform the outsourcing of the application workload. This proposal provides a generalization of the Mobile Cloud Computing paradigm which allows handling the complexity of scheduling tasks in such complex scenarios. The behaviour of the model and its ability of generalization of the paradigm are exemplified through simulations. The results show higher flexibility for making offloading decisions.

scholarly journals A Systematic Survey on the Role of Cloud, Fog, and Edge Computing Combination in Smart Agriculture

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5922
Author(s):  
Yogeswaranathan Kalyani ◽  
Rem Collier
Keyword(s):  
Cloud Computing ◽  
Edge Computing ◽  
Future Research ◽  
Relevant Research ◽  
Research Directions ◽  
Architecture Model ◽  
High Bandwidth ◽  
Future Research Directions ◽  
Smart Agriculture

Cloud Computing is a well-established paradigm for building service-centric systems. However, ultra-low latency, high bandwidth, security, and real-time analytics are limitations in Cloud Computing when analysing and providing results for a large amount of data. Fog and Edge Computing offer solutions to the limitations of Cloud Computing. The number of agricultural domain applications that use the combination of Cloud, Fog, and Edge is increasing in the last few decades. This article aims to provide a systematic literature review of current works that have been done in Cloud, Fog, and Edge Computing applications in the smart agriculture domain between 2015 and up-to-date. The key objective of this review is to identify all relevant research on new computing paradigms with smart agriculture and propose a new architecture model with the combinations of Cloud–Fog–Edge. Furthermore, it also analyses and examines the agricultural application domains, research approaches, and the application of used combinations. Moreover, this survey discusses the components used in the architecture models and briefly explores the communication protocols used to interact from one layer to another. Finally, the challenges of smart agriculture and future research directions are briefly pointed out in this article.

Research of Distributed Cache Technology Based on Cloud Computing

2013 ◽  
Vol 443 ◽  
pp. 477-481
Author(s):  
Kai Song
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
System Architecture ◽  
Cloud Storage ◽  
Storage System ◽  
Computing Technology ◽  
Computing Architecture ◽  
Architecture Model ◽  
Storage Technology ◽  
Distributed Cache

Cloud storage, data storage means occurring in recent years is based on cloud computing technology. It is the inevitable trend of data storage in the future. The article describes the definition and characteristics of cloud computing and design a generic cloud computing architecture, given its storage technology for cloud computing, cloud storage system architecture model. At last, the paper prospects the tendency of cloud computing and its storage technology.

Role of Agents to Enhance the Security and Scalability in Cloud Environment

2019 ◽  
pp. 552-573 ◽  
Author(s):  
Manisha Malhotra ◽  
Aarti Singh
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Mobile Agents ◽  
The Other ◽  
Main Concern ◽  
Hybrid Architecture ◽  
Cloud Environment ◽  
Dynamic Nature ◽  
The One

Cloud computing is a novel paradigm that changes the industry viewpoint of inventing, developing, deploying, scaling, updating, maintaining, and paying for applications and the infrastructure on which they are deployed. Due to dynamic nature of cloud computing it is quite easy to increase the capacity of hardware or software, even without investing on purchases of it. This feature of cloud computing is named as scalability which is one of the main concern in cloud environment. This chapter presents the architecture of scalability by using mobile agents. It also highlights the other main issues prevailing in cloud paradigm. Further it presents the hybrid architecture for data security which is also the one of major concern of it. This chapter mainly highlights the solution for scalability and security.

scholarly journals Data Processing Delay Optimization in Mobile Edge Computing

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Guangshun Li ◽  
Jiping Wang ◽  
Junhua Wu ◽  
Jianrong Song
Keyword(s):  
Cloud Computing ◽  
Data Processing ◽  
Data Communication ◽  
Edge Computing ◽  
Communication Delay ◽  
Transmission Delay ◽  
Mutual Cooperation ◽  
Architecture Model ◽  
Processing Delay ◽  
Cloud Servers

With the development of Internet of Things (IoT), the number of mobile terminal devices is increasing rapidly. Because of high transmission delay and limited bandwidth, in this paper, we propose a novel three-layer network architecture model which combines cloud computing and edge computing (abbreviated as CENAM). In edge computing layer, we propose a computational scheme of mutual cooperation between the edge devices and use the Kruskal algorithm to compute the minimum spanning tree of weighted undirected graph consisting of edge nodes, so as to reduce the communication delay between them. Then we divide and assign the tasks based on the constrained optimization problem and solve the computation delay of edge nodes by using the Lagrange multiplier method. In cloud computing layer, we focus on the balanced transmission method to solve the data transmission delay from edge devices to cloud servers and obtain an optimal allocation matrix, which reduces the data communication delay. Finally, according to the characteristics of cloud servers, we solve the computation delay of cloud computing layer. Simulation shows that the CENAM has better performance in data processing delay than traditional cloud computing.

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