GTU PG SCHOOL

BISAG,GANDHINAGAR

lMobile Cloud Computing

Presented by:

Kamal Patel (141060753011)

Content

Mobile Cloud Computing

MCC Architecture

Advantages of MCC

MCC Applications

MCC Issues

Conclusion

What is Mobile Cloud Computing?

Mobile cloud computing (MCC) at its simplest, refers to aninfrastructure where both the data storage and dataprocessing happen outside of the mobile device.

Why Mobile Cloud Computing?

Mobile devices face many resource challenges(battery life, storage, bandwidth etc.)

Cloud computing offers advantages to users byallowing them to use infrastructure, platforms andsoftware by cloud providers at low cost and elasticallyin an on-demand fashion.

MCC Popularity

According to a recent study by ABI Research, morethan 240 million business will use cloud servicesthrough mobile devices by 2015.

That traction will push the revenue of mobile cloudcomputing to $5.2 billion.

Mobile cloud computing is a highly promising trendfor the future of mobile computing.

MCC Architecture

MCC Architecture

Mobile devices are connected to the mobile networks via basestations that establish and control the connections and functionalinterfaces between the networks and mobile devices.

Mobile users’ requests and information are transmitted to thecentral processors that are connected to servers providing mobilenetwork services.

The subscribers’ requests are delivered to a cloud through theInternet.

In the cloud, cloud controllers process the requests to providemobile users with the corresponding cloud services.

Advantages of MCC

Extending battery lifetimeImproving data storage capacity and processing powerImproving reliability and availabilityDynamic provisioningScalabilityMulti-tenancyEase of Integration

MCC Applications

Mobile Commerce:–M-commerce allows business models for commerceusing mobile devices.–Examples: Mobile financial, mobile advertising,mobile shopping

Mobile Learning:M-learning combines e-learning and mobility

MCC Applications

•Mobile Healthcare:–M-healthcare is to minimize the limitations oftraditional medical treatment (eg. Small storage,security/privacy, medical errors, …)–Examples:

•Comprehensive health monitoring services•Intelligent emergency management system•Health-aware mobile devices (detect pulse-rate,blood pressure, level of alcohol etc)

MCC Applications

Mobile Gaming:–M-game is a high potential market generatingrevenues for service providers.–Can completely offload game engine requiringlarge computing–resource (e.g., graphic rendering) to the server inthe cloud.

Assistive technologies:Mobile currency reader for blind and visually

impaired

MCC Applications

Other applications:

– Sharing photos/videos

– Keyword-based, voice-based, tag-based searching

– Monitoring a house, smart home systems

MCC Issues

•Mobile communication issues:–Low bandwidth

N/w resources is much smaller compared totraditional N/Ws.–Service availability

Traffic congestion(connection problem)–Heterogeneity

Different mobile environment e.g.,WCDMA,GPRS,WIMAX–Qos (n/w delay)–Pricing

MCC Security Issues

-Security issues-security for mobile users(virus, worm ,Trojan etc).-security data on cloud-GPS can cause privacy issue for subscriber.-LBS(Location Based Services) faces privacy issues.

Conclusion With the new opportunities, cloud

computing has also brought new challenges for themobile environment. Luckily, there are multiple waysof solving these obstacles to use cloud computingfrom the mobile devices. From this perspective, MCChas a very big potential to jump in the mobilebusiness and to become one of the mobiletechnology trends in , as it combines the advantagesof both mobile computing and cloud computing.

ReferencesLe Guan, Xu Ke, Meina Song, and Junde Song, “A Survey of Researchon Mobile Cloud Computing”, IEEE/ACIS 10th International Conferenceon Computer and Information Science (ICIS), 2010, pp. 387-392.

Xiaopeng Fan, Jiannong Cao, and Haixia Mao. “A Survey of MobileCloud Computing,” ZTE Communications, 9(1):4-8, Mar 2011.

D. Huanget al., “Secure Data Processing Framework for Mobile CloudComputing,”Proc. IEEE INFOCOMWksp. 2011

S. Corroy, L. Falconetti, and R. Mathar, “Cell Associa-tion in SmallHeterogeneous Networks: Downlink Sum Rate and Min RateMaximization,” IEEE WCNC 2012,2012, pp. 898–902.