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 Virtual Machine Selection Algorithm Based on User Requirements in Mobile Cloud Computing Environment

2018 ◽  
Vol 17 (2) ◽  
pp. 7335-7349
Author(s):  
Rashid Alakbarov
Keyword(s):  
Cloud Computing ◽  
Virtual Machine ◽  
Mobile Cloud Computing ◽  
Virtual Machines ◽  
Mobile User ◽  
Base Stations ◽  
Mobile Cloud ◽  
Software Applications ◽  
Wireless Metropolitan Area Networks ◽  
Cloud Technologies

The article analyzes the advantages of mobile cloud technologies and problems emerging during the use of those. The network infrastructure created based on cloudlets at the second level of mobile cloud computing with hierarchical structure is analyzed. At the same time, the article explores the issues of satisfaction of demand of mobile equipment for computing and memory resources by using these technologies. The article presents one solution for the allocation of mobile user requests in virtual machines created in cloudlets located near base stations of wireless metropolitan area networks (WMAN) in a balanced way by considering the technical capacity of those. Alongside, the article considers the solution of user problem during designated time and the issue of determining virtual machines satisfying other requirements. For this purpose, different characteristics of the stated problem, virtual machines, as well as communication channels between a user and virtual machines are considered. By using possible values determining the importance of cloudlets, conditions for loading software applications of a user to a virtual machine are explored and an appropriate method is proposed.

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.

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.

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.

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