Addressing Fundamental Challenges in Mobile Cloud Computing with 4G LTE-Advanced

2014 ◽  
pp. 39-57
Author(s):  
Scott Fowler
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Mobile Technologies ◽  
Battery Life ◽  
Mobile Cloud ◽  
Battery Lifetime ◽  
Lte Advanced ◽  
4G Lte ◽  
New Applications

Today, mobile tools, such as smartphones and tablets, have become primary computing devices for many users. One mobile tool to satisfy this is the 4G network technology LTE (Long-Term Evolution)-Advanced. These mobile tools are resource-poor due to limited battery life. Mobile Cloud Computing (MCC) is intended to provide services to mobile users by supplementing the resource-paucity of mobile devices (i.e. off-loading tasks/data on the Internet and providing the resources to a local client on-demand). However, despite LTE-Advanced’s improved network quality, much needs to be done before MCC can reach its true potential. This chapter characterizes key challenges for deployment of MCC with 4G: device battery lifetime, latency, quality of service/experience, and handover. Statistical modeling is a powerful tool to address these issues. Once MCC with 4G network behavior is characterized, it is translated into the future development of innovative mobile technologies for a wide variety of new applications.

scholarly journals Avaliação de Desempenho da Técnica de Offloading Computacional em Nuvens Móveis

2015 ◽  
Author(s):  
Warley Junior ◽  
Adriano Henrique ◽  
Kelvin Lopes
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Long Term Evolution ◽  
Mobile Cloud ◽  
Term Evolution ◽  
4G Lte ◽  
Wireless Fidelity

Apesar dos avanços de hardware nos dispositivos móveis, é sabido que estes ainda são limitados em termos de processamento, armazenamento e energia quando comparados aos desktops e servidores. O paradigma de Computação em Nuvem Móvel (MCC – Mobile Cloud Computing) permite estender os recursos computacionais e energéticos de dispositivos móveis através da utilização das técnicas de offloading. Porém, o offloading nem sempre trás ganhos de energia, uma vez que isso pode depender da tecnologia de acesso sem fio empregada. Este artigo apresenta uma avaliação de desempenho da técnica de offloading computacional em um ambiente de nuvem móvel. O estudo destaca o impacto na utilização da MCC via redes Wi-Fi (Wireless Fidelity) e 4G LTE (Long Term Evolution) na autonomia da bateria e no tempo de ocupação do processador do dispositivo móvel, ao utilizar offloading computacional.

scholarly journals A Comparison of Cloud Execution Mechanisms Fog, Edge, and Clone Cloud Computing

2018 ◽  
Vol 8 (6) ◽  
pp. 4646
Author(s):  
T. Francis
Keyword(s):  
Cloud Computing ◽  
Comparative Study ◽  
Mobile Devices ◽  
Mobile Cloud Computing ◽  
Fog Computing ◽  
Mobile Technologies ◽  
Smart Devices ◽  
Mobile Cloud ◽  
Attractive Feature ◽  
Cloud Technologies

Cloud computing is a technology that was developed a decade ago to provide uninterrupted, scalable services to users and organizations. Cloud computing has also become an attractive feature for mobile users due to the limited features of mobile devices. The combination of cloud technologies with mobile technologies resulted in a new area of computing called mobile cloud computing. This combined technology is used to augment the resources existing in Smart devices. In recent times, Fog computing, Edge computing, and Clone Cloud computing techniques have become the latest trends after mobile cloud computing, which have all been developed to address the limitations in cloud computing. This paper reviews these recent technologies in detail and provides a comparative study of them. It also addresses the differences in these technologies and how each of them is effective for organizations and developers.

scholarly journals Protecting Data on Mobile Cloud Computing

2019 ◽  
Vol 8 (11) ◽  
pp. 3453-3459
Keyword(s):  
Cloud Computing ◽  
Mobile Computing ◽  
Mobile Devices ◽  
Data Center ◽  
Mobile Cloud Computing ◽  
Third Party ◽  
Battery Life ◽  
Mobile Cloud ◽  
Cloud Data Center ◽  
Cloud Data

Mobile Cloud Computing is a combination of general Cloud Computing and Mobile Computing in which we have to access resources from the remote cloud data center with the help of mobile electronics and peripherals like mobile smartphones, laptops, gadgets, etc. via Cellular Technology or Wireless Communication. Mobile devices have lots of resource constraints like storage capacity, processing speed, and battery life. Hence through simple mobile computing software and programming, we cannot manipulate on mobile devices of cloud data center information. Because of such kinds of difficulty, we have to process information or data through external mobile devices. Accessing and processing of data with the help of Trusted Third Party Agency (TPA) outside the cloud data center and mobile devices have lots of security challenges. To make cloud data secure over outside resources, lots of terminologies and theory are put forward by various researchers. In this paper, we will analyze their theory and its limitations and offer our security algorithm proposal. In this thesis article, we analyze the security framework for storing data on Cloud Server by Mobile and limitation of this process. Also, we review the theory of how data can be secure our data on cloud administrators

Secure Mobile Multi Cloud Architecture for Authentication and Data Storage

2019 ◽  
pp. 1108-1123
Author(s):  
Karim Zkik ◽  
Ghizlane Orhanou ◽  
Said El Hajji
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Mobile Networks ◽  
Mobile Cloud Computing ◽  
Homomorphic Encryption ◽  
Personal Data ◽  
Mobile Technologies ◽  
Mobile Users ◽  
Mobile Cloud ◽  
Multi Cloud

The use of Cloud Computing in the mobile networks offer more advantages and possibilities to the mobile users such as storing, downloading and making calculation on data on demand and its offer more resources to these users such as the storage resources and calculation power. So, Mobile Cloud Computing allows users to fully utilize mobile technologies to store, to download, share and retrieve their personal data anywhere and anytime. As many recent researches show, the main problem of fully expansion and use of mobile cloud computing is security, and it's because the increasing flows and data circulation through internet that many security problems emerged and sparked the interest of the attackers. To face all this security problems, we propose in this paper an authentication and confidentiality scheme based on homomorphic encryption, and also a recovery mechanism to secure access for mobile users to the remote multi cloud servers. We also provide an implementation of our framework to demonstrate its robustness and efficiently, and a security analysis.

scholarly journals A Survey on Mobile Cloud Computing: Mobile Computing + Cloud Computing (MCC = MC + CC)

2018 ◽  
Vol 19 (4) ◽  
pp. 309-337 ◽  
Author(s):  
Rama Subbareddy Somula ◽  
Sasikala R
Keyword(s):  
Cloud Computing ◽  
Mobile Computing ◽  
Mobile Devices ◽  
Mobile Cloud Computing ◽  
Security And Privacy ◽  
Battery Life ◽  
Mobile Cloud ◽  
Cloud Technology ◽  
Remote Server ◽  
Power Battery

In recent years, the mobile devices become popular for communication and running advanced real time applications such as face reorganization and online games. Although, mobile devices advanced for providing significant benefits for mobile users. But still, these devices suffers with limited recourses such as computation power, battery and storage space due to the portable size. However, The Cloud Technology overcome the limitations of mobile computing with better performance and recourses. The cloud technology provides enough computing recourses to run mobile applications as storage computing power on cloud platform. Therefore, the novel technology called mobile cloud computing (MCC) is introduced by integrating two technologies (Mobile Computing, Cloud Computing) in order to overcome the limitations(such as Battery life, Storage capacity, Processing capacity) of Mobile Devices by offloading application to recourse rich Remote server. This paper presents an overview of MCC, the advantages of MCC, the related concepts and the technology beyond various offloading frameworks, the architecture of the MCC, Cloudlet technology, security and privacy issues and limitations of mobile cloud computing. Finally, we conclude with feature research directions in MCC.

MANAGEMENT SYSTEM PROTOTYPE FOR INTELLIGENT MOBILE CLOUD COMPUTING FOR BIG DATA

2016 ◽  
Vol 78 (12-2) ◽  
Author(s):  
Nur Syahela Hussien ◽  
Sarina Sulaiman ◽  
Siti Mariyam Shamsuddin
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Management System ◽  
Cloud Storage ◽  
Mobile Cloud Computing ◽  
Service Providers ◽  
Value Added ◽  
Battery Life ◽  
Mobile Cloud ◽  
User Data

The current challenge of mobile devices is the storage capacity that has led service providers to develop new value-added mobile services. To address these limitations, mobile cloud computing, which offers on-demand is developed. Mobile Cloud Computing (MCC) is developed to augment device capabilities, facilitating to mobile users store, access to a big dataset on the cloud. Even so, given the limitations of bandwidth, latencies, and device battery life, new responses are required to extend the use of mobile devices. This paper presents a novel design and implementation of developing process on intelligent mobile cloud storage management system, also called as Intelligent Mobile Cloud Computing (IMCC) for android based users. IMCC is important for cloud storage user to make their data effectively and efficiently for saving the user time. IMCC provided convenience for user to use multiple cloud storage using one application and easy for users to store their data to any cloud storage. The result shows using IMCC it only took 8 seconds to access the data, which is faster compared with traditional MCC, it took 23.33 seconds. IMCC reduce 65.71% of latency occur using the MCC in managing a user data. The developed IMCC prototype is accessible through the Google Play Store.

Secure Mobile Multi Cloud Architecture for Authentication and Data Storage

2017 ◽  
Vol 7 (2) ◽  
pp. 62-76 ◽  
Author(s):  
Karim Zkik ◽  
Ghizlane Orhanou ◽  
Said El Hajji
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Mobile Networks ◽  
Mobile Cloud Computing ◽  
Homomorphic Encryption ◽  
Personal Data ◽  
Mobile Technologies ◽  
Mobile Users ◽  
Mobile Cloud ◽  
Multi Cloud

The use of Cloud Computing in the mobile networks offer more advantages and possibilities to the mobile users such as storing, downloading and making calculation on data on demand and its offer more resources to these users such as the storage resources and calculation power. So, Mobile Cloud Computing allows users to fully utilize mobile technologies to store, to download, share and retrieve their personal data anywhere and anytime. As many recent researches show, the main problem of fully expansion and use of mobile cloud computing is security, and it's because the increasing flows and data circulation through internet that many security problems emerged and sparked the interest of the attackers. To face all this security problems, we propose in this paper an authentication and confidentiality scheme based on homomorphic encryption, and also a recovery mechanism to secure access for mobile users to the remote multi cloud servers. We also provide an implementation of our framework to demonstrate its robustness and efficiently, and a security analysis.

scholarly journals Fault Tolerant Dynamic Task Offloading with Cloudlets in Mobile Cloud Computing

2019 ◽  
Vol 8 (6S4) ◽  
pp. 927-932
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Fault Tolerant ◽  
Task Completion ◽  
Battery Life ◽  
Mobile Cloud ◽  
Mobile Environment ◽  
Dynamic Task ◽  
Power Battery ◽  
Task Offloading

The mobile computing and cloud computing together form into Mobile Cloud Computing (MCC). The mobile devices have some limitations like computation power, battery life, etc., These limitations can be overcome by integrating with the cloud technology. Even in this case, delay will be introduced due to WAN properties during the offloading process of the tasks from mobile environment to cloud environment. This is reduced with the use of cloudlet environment. In this paper, fault tolerant dynamic task offloading with cloudlets in mobile cloud computing is proposed. The technical process of resisting against diseases by the human is incorporated in MCC to fight against the faulty machines in the system. The proposed system is simulated using openstack++ and evaluated in terms of task completion time. The performance of the proposed system is compared with the algorithm where rescheduling is not carried out and DR approach [28] and is proved to be performing better.

Performance analysis of Mobile Cloud Computing Architectures for mHealth app

2020 ◽  
Vol 2020 (3) ◽  
pp. 335-1-335-7
Author(s):  
D. Inupakutika ◽  
D. Akopian ◽  
P. Chalela ◽  
A. G. Ramirez
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Mobile Cloud Computing ◽  
Mobile User ◽  
Battery Life ◽  
Mobile Cloud ◽  
Medical Monitoring ◽  
Power And Energy ◽  
Analysis Of Performance

Mobile Health (mHealth) applications (apps) are being widely used to monitor health of patients with chronic medical conditions with the proliferation and the increasing use of smartphones. Mobile devices have limited computation power and energy supply which may lead to either delayed alarms, shorter battery life or excessive memory usage limiting their ability to execute resource-intensive functionality and inhibit proper medical monitoring. These limitations can be overcome by the integration of mobile and cloud computing (Mobile Cloud Computing (MCC)) that expands mobile devices' capabilities. With the advent of different MCC architectures such as implementation of mobile user-side tools or network-side architectures it is hence important to decide a suitable architecture for mHealth apps. We survey MCC architectures and present a comparative analysis of performance against a resource demanding representative testing scenario in a prototype mHealth app. This work will compare numerically the mobile cloud architectures for a case study mHealth app for Endocrine Hormonal Therapy (EHT) adherence. Experimental results are reported and conclusions are drawn concerning the design of the prototype mHealth app system using the MCC architectures.

Strategy for Reducing Delays and Energy Consumption in Cloudlet-Based Mobile Cloud Computing

2021 ◽  
Vol 10 (1) ◽  
pp. 32-44
Author(s):  
Rashid Alakbarov
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Mobile Cloud Computing ◽  
High Reliability ◽  
Battery Life ◽  
Mobile Cloud ◽  
Resource Limitations ◽  
Network Delays ◽  
Balanced Distribution ◽  
Memory Resources

In the paper, the problem of using cloudlet-based mobile cloud computing to solve the issues (resource deficiency and limited energy) that require large computing and memory resources on mobile devices has been studied. Energy-saving of mobile devices, resource limitations in mobile devices, and elimination of network delays are analyzed. It is shown that the solution of mobile users' tasks in the cloud leads to the increased battery life of mobile devices and reduces network delays, which is shown by mathematical calculations. The article considers the balanced distribution of the tasks in the cloudlet network. The paper also deals with the selection of cloudlets according to user requirements. The cases for which a cloud application can be loaded by the user were evaluated and a model was proposed using the possible values that determine the importance of cloudlets (user proximity, high reliability, etc.).

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