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android
data structures
css
c++
Kavya
Kavya Ravuri

Looking For Oppurtunity In Software Companies

https://www.engrip.com/kavya-ravuri

Career Objective

To apply my knowledge, learn new skills and provide various ideas and work towards challenging tasks to improve myself as well as to help my company to achieve its goal.

Education

Bachelor of Technology
Vignan's Lara Institute of Technology and Sciences.
computer science and engineering
73.9%
2015 to 2019

Intermediate
Sri Govindambika jr. college
MPC
81.2
2013 to 2015

SSC
sri chaitanya
8.7
2012 to 2013

General Information

Languages Known
english
  • Read
  • Write
  • Speak
telugu
  • Read
  • Write
  • Speak
hindi
  • Read
  • Write
  • Speak
Current Location
GUNTUR,India
Hobbies
Singing,Dancing

Overview

MINIMUM COST CLOUD STORAGE ACROSS MULTIPLE CLOUD PROVIDERS
TEAM MEMBER
VIGNAN'S LARA INSTITUTE OF TECHNOLOGY AND SCIENCES
Dec 2018 to Jan 2019
Many cloud service providers (CSPs) provide data storage services with datacenters distributed worldwide. These datacenters provide different get/put latencies and unit prices for resource utilization and reservation. Thus, when selecting different CSPs’ datacenters, cloud customers of globally distributed applications (e.g., online social networks) face two challenges: 1) how to allocate data to worldwide datacenters to satisfy application service level objective (SLO) requirements, including both data retrieval latency and availability and2) how to allocate data and reserve resources in datacenters belonging to different CSPs to minimize the payment cost. To handle these challenges, we first model the cost minimization problem under SLO constraints using the integer programming. Due to its NP-hardness, we then introduce our heuristic solution, including a dominant-cost-based data allocation algorithm and an optimal resource reservation algorithm. We further propose three enhancement methods to reduce the payment cost and service latency: 1) coefficient-based data reallocation; 2) multicast-based data transferring; and 3) request redirection-based congestion control. We finally introduce an infrastructure to enable the conduction of the algorithms. Our trace-driven experiments on a supercomputing cluster and on real clouds (i.e., Amazon S3, Windows Azure Storage, and Google Cloud Storage) show the effectiveness of our algorithms for SLO guaranteed services and customer cost minimization.
Aadhar Based Online Voting System using Android Application
Team Lead
ECIL
Jun 2018 to Jul 2018
The Concept of this Project is to maintain accuracy and avoid time lapse in the Voting system through Aadhar Number using Android APP. I have divided the project in to Two phases i.e., Phase-1 Admin and Phase-2 User. **Admin Phase can be accessed only by the Admin and any sort of modifications are required, can be done through Admin phase. **User Phase can be loggedin by using Adhar Number, respective password, Email Id and Phone number. Software Requirements: IDE Eclipse, Windows XP and above versions of OS. Hardware Requirements: Processor P4, Ram 1 GB Team Size: 4 Members
participant
Master Orator Championship
Jun 2017
smartkids contest
srichaitanya
Apr 2012
sciencefair
srichaitanya
Mar 2012
khabbadi winners
srichaitanya
Mar 2012
Throball winner
srichaitanya
Mar 2012