Analysis of Mobile Cloud Computing

2018 ◽  
pp. 81-104 ◽  
Author(s):  
Sushruta Mishra ◽  
Sunil Kumar Mohapatra ◽  
Brojo Kishore Mishra ◽  
Soumya Sahoo
Keyword(s):  
Cloud Computing ◽  
Mobile Applications ◽  
Mobile Cloud Computing ◽  
The Internet ◽  
Mobile Cloud ◽  
Processing Capacity ◽  
Research Questions ◽  
Definition Of ◽  
New Research ◽  
Actual Realization

This chapter describes how cloud computing is an emerging concept combining many fields of computing. The foundation of cloud computing is the delivery of services, software and processing capacity over the Internet, reducing cost, increasing storage, automating systems, decoupling of service delivery from underlying technology, and providing flexibility and mobility of information. However, the actual realization of these benefits is far from being achieved for mobile applications and open many new research questions. Together with an explosive growth of the mobile applications and emerging of cloud computing concept, mobile cloud computing (MCC) has been introduced to be a potential technology for mobile services. With this importance, this chapter provides an overview of mobile cloud computing in which its definitions, architecture, and advantages have been presented. It presents an in-depth knowledge of various aspects of Mobile Cloud Computing (MCC). We give a definition of mobile cloud computing and provide an overview of its features.

Analysis of Mobile Cloud Computing

2021 ◽  
pp. 1-24
Author(s):  
Sushruta Mishra ◽  
Sunil Kumar Mohapatra ◽  
Brojo Kishore Mishra ◽  
Soumya Sahoo
Keyword(s):  
Cloud Computing ◽  
Mobile Applications ◽  
Mobile Cloud Computing ◽  
The Internet ◽  
Mobile Cloud ◽  
Processing Capacity ◽  
Research Questions ◽  
Definition Of ◽  
New Research ◽  
Actual Realization

This chapter describes how cloud computing is an emerging concept combining many fields of computing. The foundation of cloud computing is the delivery of services, software and processing capacity over the Internet, reducing cost, increasing storage, automating systems, decoupling of service delivery from underlying technology, and providing flexibility and mobility of information. However, the actual realization of these benefits is far from being achieved for mobile applications and open many new research questions. Together with an explosive growth of the mobile applications and emerging of cloud computing concept, mobile cloud computing (MCC) has been introduced to be a potential technology for mobile services. With this importance, this chapter provides an overview of mobile cloud computing in which its definitions, architecture, and advantages have been presented. It presents an in-depth knowledge of various aspects of Mobile Cloud Computing (MCC). We give a definition of mobile cloud computing and provide an overview of its features.

Security Management in Mobile Cloud Computing

2018 ◽  
pp. 1027-1043
Author(s):  
Basudeo Singh ◽  
Jasmine K.S.
Keyword(s):  
Cloud Computing ◽  
Mobile Applications ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Computing Technology ◽  
Security Issue ◽  
Security Strategy ◽  
Cloud Systems ◽  
Security Issues ◽  
Pros And Cons

Mobile cloud computing is a technique or model in which mobile applications are built, powered and hosted using cloud computing technology. In Mobile Cloud computing we can store information regarding sender, data and receiver on cloud through mobile application. As we store more and more information on cloud by client, security issue will arise. This chapter presents a review on the mobile cloud computing concepts as well as security issues and vulnerabilities affecting Cloud Systems and the possible solutions available to such issues within the context of cloud computing. It also describes the pros and cons of the existing security strategy and also introduces the existing issues in cloud computing such as data integrity, data segregation, and security.

Mobile Cloud Computing

2015 ◽  
pp. 1-23
Author(s):  
Jyoti Grover ◽  
Gaurav Kheterpal
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Data Storage ◽  
Mobile Applications ◽  
Large Scale ◽  
Mobile Cloud Computing ◽  
Research Area ◽  
Computation Offloading ◽  
Mobile Cloud ◽  
Mobile Environment

Mobile Cloud Computing (MCC) has become an important research area due to rapid growth of mobile applications and emergence of cloud computing. MCC refers to integration of cloud computing into a mobile environment. Cloud providers (e.g. Google, Amazon, and Salesforce) support mobile users by providing the required infrastructure (e.g. servers, networks, and storage), platforms, and software. Mobile devices are rapidly becoming a fundamental part of human lives and these enable users to access various mobile applications through remote servers using wireless networks. Traditional mobile device-based computing, data storage, and large-scale information processing is transferred to “cloud,” and therefore, requirement of mobile devices with high computing capability and resources are reduced. This chapter provides a survey of MCC including its definition, architecture, and applications. The authors discuss the issues in MCC, existing solutions, and approaches. They also touch upon the computation offloading mechanism for MCC.

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 Mobile Cloud Computing: Taxonomy and Challenges

2020 ◽  
Vol 2020 ◽  
pp. 1-23
Author(s):  
Ahmed Aliyu ◽  
Abdul Hanan Abdullah ◽  
Omprakash Kaiwartya ◽  
Syed Hamid Hussain Madni ◽  
Usman Mohammed Joda ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Cost Effective ◽  
Qualitative Assessment ◽  
The Internet ◽  
Mobile Cloud ◽  
Energy Aware ◽  
Research Issues ◽  
Delivery Platform ◽  
Cloud Users

Mobile cloud computing (MCC) holds a new dawn of computing, where the cloud users are attracted to multiple services through the Internet. MCC has a qualitative, flexible, and cost-effective delivery platform for providing services to mobile cloud users with the aid of the Internet. Due to the advantage of the delivery platform, several studies have been conducted on how to address different issues in MCC. The issues include energy efficiency in MCC, secured MCC, user-satisfied applications and Quality of Service-aware MCC (QoS). In this context, this paper qualitatively reviews different proposed MCC solutions. Therefore, taxonomy for MCC is presented considering major themes of research including energy-aware, security, applications, and QoS-aware developments. Each of these themes is critically investigated with comparative assessments considering recent advancements. Analysis of metrics and implementation environments used for evaluating the performance of existing techniques are presented. Finally, some open research issues and future challenges are identified based on the critical and qualitative assessment of literature for researchers in this field.

Cloud resource optimization based on poisson linear deep gradient learning for mobile cloud computing

2021 ◽  
Vol 40 (1) ◽  
pp. 787-797
Author(s):  
G. Saravanan ◽  
N. Yuvaraj
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Mobile Applications ◽  
Mobile Cloud Computing ◽  
Service Providers ◽  
Mobile User ◽  
Mobile Users ◽  
Mobile Cloud ◽  
Queuing Model ◽  
Gradient Learning

Mobile Cloud Computing (MCC) addresses the drawbacks of Mobile Users (MU) where the in-depth evaluation of mobile applications is transferred to a centralized cloud via a wireless medium to reduce load, therefore optimizing resources. In this paper, we consider the resource (i.e., bandwidth and memory) allocation problem to support mobile applications in a MCC environment. In such an environment, Mobile Cloud Service Providers (MCSPs) form a coalition to create a resource pool to share their resources with the Mobile Cloud Users. To enhance the welfare of the MCSPs, a method for optimal resource allocation to the mobile users called, Poisson Linear Deep Resource Allocation (PL-DRA) is designed. For resource allocation between mobile users, we formulate and solve optimization models to acquire an optimal number of application instances while meeting the requirements of mobile users. For optimal application instances, the Poisson Distributed Queuing model is designed. The distributed resource management is designed as a multithreaded model where parallel computation is provided. Next, a Linear Gradient Deep Resource Allocation (LG-DRA) model is designed based on the constraints, bandwidth, and memory to allocate mobile user instances. This model combines the advantage of both decision making (i.e. Linear Programming) and perception ability (i.e. Deep Resource Allocation). Besides, a Stochastic Gradient Learning is utilized to address mobile user scalability. The simulation results show that the Poisson queuing strategy based on the improved Deep Learning algorithm has better performance in response time, response overhead, and energy consumption than other algorithms.

scholarly journals Mobile Cloud Computing- Google Cloud Messaging

2017 ◽  
Vol 4 (2) ◽  
Author(s):  
Patricio Navas Moya ◽  
Jessica Castillo ◽  
Henry Llamuca ◽  
Diego Jacome
Keyword(s):  
Cloud Computing ◽  
Real Time ◽  
Mobile Applications ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Development Tools ◽  
La Red ◽  
Sobre Todo

 En este artículo se presenta un análisis de GCM (Google Cloud Messaging); rendimiento de la biblioteca, la integración con Google App Engine y también las herramientas de desarrollo, incluyendo la API. Los resultados revelan que GCM en relación a su predecesor C2DM (Cloud to Device Messaging) presenta mejoras significativas que se deben tomar en cuenta al momento del desarrollo de Apps en tiempo real que facilita y potencia el desarrollo de aplicaciones cada vez más potentes, fiables, rápidas y sobre todo optimizando recursos. Por lo tanto, mediante la utilización de la API de GCM se logró analizar correctamente los tiempos reales de este tipo de aplicaciones siendo tiempos menores en relación a la API anterior de C2DM, ya que en la obtención de un Token que se realiza solo una vez al día en un promedio de 5,951 segundos y en el envío de mensajes un promedio de 0,181314763 segundos dependiendo de la red. Por lo tanto, Mobile Cloud Computing es una nueva tendencia que mediante la utilización de servicios en la nube está incursionando en los últimos años y que servicios como Google Clould Message permiten dar un paso más a la hora de hablar de aplicaciones móviles.   Abstract This article presents an analysis of GCM (Google Cloud Messaging); Library performance, integration with Google App Engine and also development tools, including API. The results reveal that GCM in relation to its predecessor C2DM (Cloud to Device Messaging) presents significant improvements that must be considered when developing Apps in real time that facilitates and enhances the development of increasingly powerful, reliable, Fast and above all optimizing resources. Therefore, using the GCM API could correctly analyze the actual times of this type of applications being shorter times in relation to the previous API of C2DM, since in obtaining a Token that is performed only once Per day in an average of 5.951 seconds and in the sending of messages an average of 0.181314763 seconds depending on the network. Therefore, Mobile Cloud Computing is a new trend that using services in the cloud is penetrating in recent years and services such as Google Clould Message allow to take a step further when talking about mobile applications.

scholarly journals Survey on the Use of the Mobile Learning Based on Mobile Cloud Computing

2016 ◽  
Vol 10 (3) ◽  
pp. 35 ◽  
Author(s):  
Zouhair Rimale ◽  
Benlahmar El Habib ◽  
Abderrahim Tragha ◽  
Kamal El Guemmat
Keyword(s):  
Cloud Computing ◽  
Mobile Computing ◽  
Mobile Learning ◽  
Mobile Cloud Computing ◽  
The Internet ◽  
Mobile Cloud ◽  
Wireless Technology ◽  
Education Today ◽  
Almost All

<span>With the continued growth of wireless technology and the development of mobile computing, mobile learning (m-learning) has become one of the most important ways of learning. However, the traditional way of m-learning has a lot of limitations and disadvantages. For some time the Mobile Cloud Computing (MCC) is an adoptable technology for most organizations with dynamic scalability and utilization of virtualized resources as a service over the Internet. MCC is growing rapidly, with applications in almost all areas, including education. Today, there are several researches confirming that MCC is a good way to overcome the disadvantages and limitations associated with the traditional way of m-Learning. This article is an attempt to clarify the definition and benefits of m-learning and MCC while presenting their existing work.</span>

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