This document provides an overview of SMAC (Social, Mobile, Analytics, Cloud) technologies presented by Meena Venkatachalam. It defines each component of SMAC: social media allows information sharing; mobile technology has progressed from 1G to 5G; data analytics involves analyzing large datasets; and cloud computing provides remote data storage and access. Trends discussed include the growth of cloud computing and big data analytics. The presenter's interest area is ensuring data security in cloud computing's Infrastructure-as-a-Service model by encrypting data before it is uploaded.

2. SMAC
Presented By:
Miss. Meena Venkatachalam
Nanu.pabcet@live.com
https://twitter.com/MEENANU_V
Pavendar Bharathidasan College of Engineering
and Technology, Trichy-24.
Final Year / Eighth Semester
Computer Science and Engineering

3. INTRODUCTION
 SMAC- Social, Mobile, Analytics, Cloud.
 Now, this four Technology has occupy the IT Business services.
 It make the more innovation, emerging and Booming Technology
in Business.

4. SOCIAL Media
 Computer-mediated tools that allow people
o To create Share.
o To exchange information and ideas.
o Pictures/videos in virtual communities and networks.
 A group of Internet-based applications that build on the
ideological and technological foundations of Web 2.0, and
that allow the creation and exchange of user-generated
content.

5. MOBILE
Mobile technology is the technology used for cellular communication.
1g (analog)
2G (GSM) (CDMA)
2.5G (GPRS) 40 KBit/s
2.75G (EDGE)500 KBit/s
3G
o HSPA 14.4 Mbit/s downlink and 5.76 MBit/s uplink.
o HSPA+ 168 Mbit/s downlink and 22 Mbit/s uplink.
4G
o LTE Advantage 1GBit/s downlink 500 Mbit/s uplink.
o 4G LTE 100 MBit/s downlink 50 MBit/s uplink.
5G Research.

6. Data ANALYTICS
 Data analysis is the process of finding the right data to answer
your question.
 Understanding the processes underlying the data.
 Discovering the important patterns in the data, and then
communicating your results to have the biggest possible impact.
Types of Data:
o Volume
o Velocity
o Variety

7. CLOUD Computing
 Cloud computing involves deploying groups of remote
servers and software networks that allow centralized data
storage and online access to computer services or resources.
 Clouds deployment model:
o Public
o Private
o hybrid
 Cloud Service model:
o Infrastructure-as-a-Service
o Platform-as-a-Service
o Software-as-a-Service

8. TRENDS
 Now the Cloud Computing is in peak of IT Business services
 But most of the Companies now move on to the Big Data
Technology.
 In Future Data Analytics will take the peak in the IT Business
services.
 Because of Cost, Storage, Maintenance are efficiency high
compare to cloud computing.
 Big Data was hired by the Large scale Business organization by
social media, Medicinal, Research and so on.

9. INTERST AREAS
 My interesting area is Cloud Computing.
 In that there are lot of security issue in Infrastucture-as-a-Service.
 So, I will work for ensure the security problem by analyzing it and
cure it.
 Example: In IaaS the Storage is also one service in that model. In
that environment normally user upload the data directly to the
cloud service provider

10. INTERST AREAS
Example:
 In IaaS the Storage is also one service in that model. In that
environment normally user upload the data directly to the cloud
service provider.
 Then the Cloud Server encrypt the data and Store it.
 Suppose the intruders know the path of transaction at the time of
uploading data. They can easily hacked the data.
 Hence I wish to do encryption on the end user level. Thus the
encrypted data is now upload to cloud service provided.
 Now intruders know the path of transaction at the time of
uploading data. They hacked the encrypted data only.

11. Thank you