Establishing A Personal On-Demand Execution Environment for Mobile Cloud Applications

2015 ◽  
Vol 20 (3) ◽  
pp. 297-307 ◽  
Author(s):  
Huijun Wu ◽  
Dijiang Huang ◽  
Yan Zhu
Keyword(s):  
Mobile Cloud ◽  
On Demand ◽  
Execution Environment ◽  
Cloud Applications

A Computation Migration Approach to Elasticity of Cloud Computing

2012 ◽  
pp. 145-178 ◽  
Author(s):  
Cho-Li Wang ◽  
King Tin Lam ◽  
Ricky Ka Kui Ma
Keyword(s):  
Cloud Computing ◽  
Dynamic Load ◽  
Data Access ◽  
Mobile Cloud ◽  
On Demand ◽  
Code Mobility ◽  
Innovative Idea ◽  
Execution Model ◽  
Cloud Applications ◽  
Concept Code

Code mobility is the capability to dynamically change the bindings between code fragments and the location where they are executed. While it is not a new concept, code mobility has reentered the limelight because of its potential uses for cloud computing—a megatrend in recent years. The strongest form of mobility allows the execution state of a computational component to be captured and restored on another node where execution is seamlessly continued. Computation migration can achieve dynamic load balancing, improve data access locality, and serve as the enabling mechanism for auto-provisioning of cloud computing resources. Therefore, it is worthwhile to study the concepts behind computation migration and its performance in a multi-instance cloud platform. This chapter introduces a handful of migration techniques working at diverse granularities for use in cloud computing. In particular, this chapter highlights an innovative idea termed stack-on-demand (SOD), which enables ultra-lightweight computation migrations and delivers a flexible execution model for mobile cloud applications.

scholarly journals A Review on Security in Mobile Cloud Computing

2020 ◽  
pp. 219-224
Author(s):  
Vandanapu Uday ◽  
Advin Manhar
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Safety Issue ◽  
Mobile Cloud ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Security Issues ◽  
On Demand ◽  
A Cell ◽  
Cloud Applications

Cloud Computing refers to various services that are accessible through the Internet. These essential sources encompass servers, databases, storage, analytics, software, and different applications. Mobile cloud computing (MCC) is the availability of cloud computing offerings in a cell environment. Mobile Cloud Computing at its simplest refers to an infrastructure where both the storage and therefore, the processing of information happens outside the mobile device. Users can remotely store their data also enjoy high-quality on-demand cloud applications without the restrictions of getting to get and maintain your local hardware and software. Despite the surprising advancement achieved by MCC, the clients of MCC remains below expectations. Thanks to the related risks regarding security and confidentiality. The more and more information is placed onto the cloud by the individuals and enterprises, the more the safety issue begins to grow. This paper gives a summary of the cloud computing concept followed by an outline of mobile cloud computing, and therefore, the different security issues pertinent to the mobile cloud computing environment.

Towards mobile cloud applications

2012 ◽  
Vol 8 (4) ◽  
pp. 344-367 ◽  
Author(s):  
Huber Flores ◽  
Satish Narayana Srirama ◽  
Carlos Paniagua
Keyword(s):  
Mobile Cloud ◽  
Cloud Applications

Operational Cost of Running Real-Time Mobile Cloud Applications

2015 ◽  
pp. 294-321 ◽  
Author(s):  
Ovunc Kocabas ◽  
Regina Gyampoh-Vidogah ◽  
Tolga Soyata
Keyword(s):  
Real Time ◽  
Large Scale ◽  
Service Level ◽  
Cloud Services ◽  
Mobile Cloud ◽  
Cost Models ◽  
Operational Cost ◽  
Resource Requirements ◽  
The Cost ◽  
Cloud Applications

This chapter describes the concepts and cost models used for determining the cost of providing cloud services to mobile applications using different pricing models. Two recently implemented mobile-cloud applications are studied in terms of both the cost of providing such services by the cloud operator, and the cost of operating them by the cloud user. Computing resource requirements of both applications are identified and worksheets are presented to demonstrate how businesses can estimate the operational cost of implementing such real-time mobile cloud applications at a large scale, as well as how much cloud operators can profit from providing resources for these applications. In addition, the nature of available service level agreements (SLA) and the importance of quality of service (QoS) specifications within these SLAs are emphasized and explained for mobile cloud application deployment.

Personal Storage Grid Architecture

2012 ◽  
pp. 97-109
Author(s):  
Mian-Guan Lim ◽  
Sining Wu ◽  
Tomasz Simon ◽  
Md Rashid ◽  
Na Helian
Keyword(s):  
Web Service ◽  
File System ◽  
File Systems ◽  
System Support ◽  
End User ◽  
Operation System ◽  
Disk Space ◽  
On Demand ◽  
Definition Of ◽  
Cloud Applications

On-demand cloud applications like online email accounts and online virtual disk space are becoming widely available in various forms. In cloud applications, one can see the importance of underlying resources, such as disk space, that is available to the end-user but not easily accessible. In the authors’ study, a modern file system developed in linux is proposed, which enables consuming of cloud applications and making the underlying disk space resource available to the end-user. This system is developed as a web service to support cross operation system support. A free online mail account was used to demonstrate this solution, and an IMAP protocol to communicate with remote data spaces was used so that this method can mount onto any email system that supports IMAP. The authors’ definition of infinite storage as the user is able to mount file systems as a single logical drive.

scholarly journals Using Satellite Execution to Reduce Latency for Mobile/Cloud Applications

2016 ◽  
pp. 279-298
Author(s):  
Robert Pettersen ◽  
Steffen Viken Valvåg ◽  
Åge Kvalnes ◽  
Dag Johansen
Keyword(s):  
Mobile Cloud ◽  
Cloud Applications

scholarly journals Shiny Gross Defended Reports Distribution Pattern for Mobile Smog Calculation

2019 ◽  
Vol 8 (11S) ◽  
pp. 888-893
Keyword(s):  
Distribution Pattern ◽  
Data Sharing ◽  
Cell Phone ◽  
Mobile Cloud ◽  
Cellular Telephone ◽  
Control Tree ◽  
Cloud Applications ◽  
Weight Data ◽  
Cell Cell

With the universality of dispersed computer, cellular cell cellphone can keep/get better individual facts from anywhere each time. As a prevent end cease result, the statistics protection hassle in flexible cloud seems to be more and more excessive and anticipates extra development of portable cloud. There are massive investigations which have been brought about decorate the cloud safety. All the same, the huge majority of them are not pertinent for mobile cloud considering the truth that cellular cellular telephone without a doubt have in fact constricted figuring belongings and energy. Arrangements with low computational expenses are in notable want for transportable cloud applications. In this paper, we endorse a slight-weight data sharing plan (LDSS) for mobile allotted computing. It welcomes CP-ABE, an access manage era accomplished in regular cloud hassle, however changes the shape of get get right of entry to to control tree to make it suitable for portable cloud conditions. LDSS relocates an expansive little littlelittle bit of the computational excessive gain get proper of get entry to toto manipulate tree modification in CP-ABE from cell cell phone to outdoor middleman internet servers. Furthermore, to decrease the purchaser repudiation fee, it acquaints building instance regions with actualize apathetic denial, this is an irritable hassle in software softwaresoftware program primarily based absolutely truly actually CP-ABE frameworks. The exploratory prevent consequences show off that LDSS can sufficiently lessen the fees at the cellular cell smartphone hassle at the same time as clients are sharing statistics in flexible cloud problems.

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