Cloud computing for ubiquitous computing on M2M and IoT environment mobile application

2016 ◽  
Vol 19 (2) ◽  
pp. 1001-1013 ◽  
Author(s):  
DongBum Seo ◽  
You-Boo Jeon ◽  
Song-Hee Lee ◽  
Keun-Ho Lee
Keyword(s):  
Cloud Computing ◽  
Ubiquitous Computing ◽  
Mobile Application

scholarly journals Mobile Cloud Computing as Competence Intensifier

2019 ◽  
Vol 8 (06) ◽  
pp. 24693-24697
Author(s):  
Neeta P. Sarode ◽  
Dr. J.W. Bakal
Keyword(s):  
Cloud Computing ◽  
Ubiquitous Computing ◽  
Mobile Devices ◽  
Mobile Learning ◽  
Mobile Applications ◽  
Mobile Cloud Computing ◽  
Personal Digital Assistants ◽  
Mobile Cloud ◽  
Advantages And Disadvantages ◽  
Actual Existence

Since the arrival of mobile devices, such as Personal Digital Assistants (PDA’s), smartphones, tablets etc., and their amalgamation with cloud computing is bringing up and transforming ubiquitous computing into actual existence. This concept of ubiquitous computing straightens out the way to unusual and experimental applications, in which the mobile devices are integrated and provide assistance to the users. This paper discusses about the concept of mobile cloud computing, identify advantages and disadvantages of collaborating mobile applications with cloud and identify benefits of leveraging mobile learning services on cloud. Mobile cloud computing induces innumerable benefits and overcomes the technical limitations of mobile learning.

scholarly journals FLIP: an Internet protocol for flat labels

2016 ◽  
Author(s):  
Giovanni Bembo
Keyword(s):  
Cloud Computing ◽  
Distributed Systems ◽  
Ubiquitous Computing ◽  
Web Service ◽  
Mobile Devices ◽  
Future Internet ◽  
Future Internet Architecture ◽  
Data Packets ◽  
Frequent Use ◽  
The Web

In recent years the increasingly frequent use of the Web service, the advent of the cloud computing, the exponential growing of mobile devices with the introduction of pervasive and ubiquitous computing and the emergence of extreme distributed systems have brought to light the problem of the no longer adequate distribution of data packets over Internet and the related IP protocol issues. This paper promotes flat labels as a real alternative to IP addresses for a future Internet architecture and proposes FLIP as first network layer protocol for flat labels. Among several features absolutely not existing in IP protocol, FLIP has a native support for crypto-currencies.

scholarly journals Design and Implementation of Cloud based Digital Energy Meter using ESP8266

2020 ◽  
Vol 9 (4) ◽  
pp. 1228-1231
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Wireless Communication ◽  
Mobile Phones ◽  
Mobile Application ◽  
Web Page ◽  
Computational System ◽  
Remote Locations ◽  
Design And Implementation ◽  
Energy Meter

Increasing cost in energy sector demands for structured use of energy. It is vital to understand the rate of energy consumption during specific period utilizing Energy Meters. Energy consumption can be measured using a traditional energy meter; however, their use is restricted in inaccessible areas or in occasion of poor visibility resulting in limited functionality. Also, the main drawback is that a person has to take readings area by area from every house and institute make it time consuming. We propose a Cloud based Wireless Energy Meter [1] which can send data via wireless communication (cloud computing) to a PC or mobile phones in the form of E-mails or mobile application notification or through web page; where surveillance and analysis of the data will be made. This computational system can be used to measure energy quantities of transformers and high voltage towers at remote locations, industries, domestic area, and institutions.

scholarly journals Analysis of the Main Factors Affecting the Adoption of Cloud based Interactive Mobile Learning in the Australian Higher Education Sector

2018 ◽  
Vol 12 (4) ◽  
pp. 43 ◽  
Author(s):  
Nitirajsingh Sandu ◽  
Ergun Gide
Keyword(s):  
Higher Education ◽  
Cloud Computing ◽  
Service Delivery ◽  
Mobile Learning ◽  
Mobile Application ◽  
Education Sector ◽  
Factors Affecting ◽  
Learning Platform ◽  
Research Outcome ◽  
Main Factors

<p>Today, every business depends on Information Technology (IT) for the efficient service delivery and cost-effective application of technological resources. Modern technologies are being adopted to overcome business pressure, streamline existing procedures and service delivery cost-efficiency for maximising profit due to the increase in global competition and shifts in the customer expectations.  Cloud computing (CC) is an Internet-centric computing service that utilises and provides IT services to organisations through the provisioning of resources through the Internet using web-centric software and gadgets without the assistance of any private IT architecture within the firm. Cloud based interactive mobile learning platform is the result of such exploration and this practice of learning is improving with the time. New technologies such as smart mobile devices, Cloud computing and wireless connectivity are opening new opportunities of learning for students.  </p><p>Thus, the aim of this paper is to evaluate the main factors affecting the adoption of Cloud based interactive mobile learning for the Australian Higher Education sector. In this research, a survey data collection technique with existing students using Mobile application for learning and also a literature review process were conducted.  Research outcome shows that the use of Artificial intelligence and Machine learning can make learning more efficient and these technologies need to be integrated in applications designed for Australian Higher Education sector.  It is expected that the research outcome will help interactive mobile application developers and higher education providers to better understand the requirements of students while providing an interactive learning platform for them.   </p>

scholarly journals Dynamic service migration in ultra-dense multi-access edge computing network for high-mobility scenarios

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Haowei Lin ◽  
Xiaolong Xu ◽  
Juan Zhao ◽  
Xinheng Wang
Keyword(s):  
Cloud Computing ◽  
Mobile Application ◽  
High Mobility ◽  
Edge Computing ◽  
The Other ◽  
Mobile Users ◽  
Computing Power ◽  
Service Migration ◽  
The Stability ◽  
Multi Access

Abstract The multi-access edge computing (MEC) has higher computing power and lower latency than user equipment and remote cloud computing, enabling the continuing emergence of new types of services and mobile application. However, the movement of users could induce service migration or interruption in the MEC network. Especially for highly mobile users, they accelerate the frequency of services’ migration and handover, impacting on the stability of the total MEC network. In this paper, we propose a hierarchical multi-access edge computing architecture, setting up the infrastructure for dynamic service migration in the ultra-dense MEC networks. Moreover, we propose a new mechanism for users with high mobility in the ultra-dense MEC network, efficiently arranging service migrations for users with high-mobility and ordinary users together. Then, we propose an algorithm for evaluating migrated services to contribute to choose the suitable MEC servers for migrated services. The results show that the proposed mechanism can efficiently arrange service migrations and more quickly restore the services even in the blockage. On the other hand, the proposed algorithm is able to make a supplement to the existing algorithms for selecting MEC servers because it can better reflect the capability of migrated services.

Mobile Learning Services on Cloud

2015 ◽  
pp. 230-255
Author(s):  
Dušan Barać ◽  
Miloš Radenković ◽  
Branislav Jovanić
Keyword(s):  
Cloud Computing ◽  
Mobile Learning ◽  
Mobile Application ◽  
Management System ◽  
Mobile Cloud Computing ◽  
Learning Management System ◽  
Learning System ◽  
Mobile Cloud ◽  
E Learning ◽  
Learning Management

This chapter discusses providing mobile learning services on cloud. Mobile cloud computing brings numerous benefits and enables overcoming technical constraints of mobile learning. The main techniques and approaches in mobile cloud computing are analyzed. A model for mobile learning services delivering through cloud computing is proposed. Several examples of mobile learning services implementations on cloud are presented: Android native application that provides Moodle learning management system features and a SMS service and mobile application for managing the infrastructure of e-learning system.

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