Mobile Cloud Computing Applications and Challenges
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2014, Vol 2, Issue 4
Abstract
Mobile Cloud Computing (MCC) combines mobile computing and cloud computing. Cloud Computing includes application and services that run on distributed network using virtualized resources and excess by common internet protocol. Cloud services are having major impact on Mobile phone technology. Now days Cloud computing is spreading into mobile. That is why mobile cloud computing is becoming a new and fast growing technology today. We discussed the architecture of MCC (Mobile cloud computing) with the different services needed by the client and the server in MCC. This paper focus on Architecture, Applications and Challenges in MCC. MCC integrates the cloud computing into the mobile environment and overcomes obstacles related to the performance (e.g., battery life, storage, and bandwidth) and security (e.g., reliability and privacy)
Authors and Affiliations
Prof. Shilpa M. Deshmukh, Prof. Ashwini M. Takale
Keywords
Related Articles
- EP ID EP749190
- DOI -
- Views 52
- Downloads 0
Formal Modeling and Validation of ReDy Architecture Intended for IoT Applications
Internet of Things (IoT) faces different architectural challenges to meet the large scale application issues, the heterogeneity, and the self-adaptivity. Many IoT applications require a dynamic construction of the system...
Loan Eligibility Prediction Using Machine Learning
Banks and other financial institutions compete for customers by providing a wide range of services and products. Most banks, however, make the vast majority of their money from their credit portfolio. Loans accepted by b...
A Review of Video Detection and Tracking Methods for Moving Objects
Object detection and tracking are widely utilized in today's society, especially for motion detection of different objects. The initial stage in object detection is to recognize objects in the video stream and cluster th...
Data Mining Over Encrypted Data of Database Client Engine Using Hybrid Classification Approach
Data mining has been used in various areas, for example crime agencies, retail industries, financial data analysis, telecommunication industry, biological, among government agencies, etc. Several application handle very...
Analysis of Cyber Security Threats Using Machine Learning Techniques
Nowadays malware detection is a problem that researchers have tried to solve for so many years by using enormous type of methods. The behaviors of two given malware variants remain similar, although their signatures coul...