SRAVANI SANNIBOYINA
SRAVAN I.S
Email:***************@*****.***
B.Tech - cse M obile: +919*********
Objective :
To secure a good position in a company where my whole experience and
k nowledge can be used in the progress of the company in an active manner,
w hich can provide skill enhancement and career growth.
Educational Qualification :
Year Of PERCENTAG
COURSE COLLEGE/SCHOOL
P ass E
M. L. College Of Engineering,
B.Tech 2014 65.1%
Singarayakonda. (JNTU-K)
62.1%
In termediate Sri sai junior college, kavali. 2010
A.P.S.W.R H igh School,
S INGARAYAKONDA,
S.S.C 2008 72%
Prakasam Dist.
Technical skills:
• Computer languages : C, C++, basic java.
• T ools/platforms : M S Office 2007.
• Operating System : W indows 8.
• Basic knowledge on computer hardware
P ersonal Strength:
• Self-motivate, positive thinking and hardworking
• Ability to work both independently and in a team
• I am also a Quick learner
Accomplishments:
• Secured 2nd p rize in group discussion in college.
• Secured 1st p rize in QUIZ in our college.
Academic Project:
Project Title :AMES Cloud A Framework of Adaptive Mobile Video
•
Streaming and Efficient Social Video Sharing in the Clouds
Role : Team Leader
•
Team size : 4
•
• Environment : Java
• While demands on video t raffic over mobile networks have been souring, the
w ireless link capacity cannot keep up with the t raffic demand. The gap between
t he t raffic demand and the link capacity, along with time-varying link conditions,
results in poor service quality of video streaming over mobile networks such as
long buffering t ime and intermit tent disruptions. Leveraging the cloud
computing technology, we propose a new mobile video streaming framework,
d ubbed AMES-Cloud, which has two main parts: AMoV (adaptive mobile video
s treaming) and ESoV (efficient social video sharing). AMoV and ESoV construct
a p rivate agent to provide video streaming services efficiently for each mobile
user. For a given user, AMoV lets her private agent adaptively adjust her
s treaming f low with a scalable video coding technique based on the feedback of
l ink quality. Likewise, ESoV monitors the social network interactions among
mobile users, and their private agents t ry to prefect video content in advance. We
i mplement a prototype of the AMES-Cloud framework to demonstrate i ts
performance. I t is shown that the private agents in the clouds can effectively
p rovide the adaptive streaming, and perform video sharing (i.e., perfecting) based
on the social network analysis.
Personal Data:
Name : Sanniboyina Sravani
Father name : s.ramamur thy
Date of Bir th : 29-may-1993
Nationality : Indian
Gender : Female
Mari tal Status : Single
Languages known : English, Telugu
Permanent Address : Salipeta (vill),
: Ramayapatnam (P.O),
: Gudlur (M.D),
: P rakasam (D.T),
: P in code: 523291.
D EC LARAT IO N:
I hereby declare that the above furnished details are t rue to the best of my
k nowledge.
Date:
S.Sravani
P lace: