www.lorventech.com Technologies Pvt Ltd Chennai : Java NMS Developer

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  1. Post Count Number #1
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    www.lorventech.com Technologies Pvt Ltd Chennai : Java NMS Developer

    Lorven Technologies Chennai : Java NMS Developer

    Dear Consultant,

    Greetings from Lorven Technologies.

    We have a Immediate Openings with our client for following,

    If you interested, kindly forward your updated profile else forward this
    mail to your friends, who might be interested.

    Sr. Java NMS Developer

    Abilities
    • Have good analytical skills and problem solving capabilities
    • Ability to analyze the requirements and come up with the most appropriate
    solution
    • Ability to independently design the solution for quality and reusability.
    • Ability to implement the solution with high quality
    • Ability to plan and deliver on time.
    • Ability to learn and adapt to newer technologies
    • Ability to communicate effectively – both verbal and written communication

    Requirements
    • Hands on experience of 3 to 5 years
    • EMS / NMS Background (Highly Desirable)
    • SNMP / TL1 Protocol experience (Desirable)
    • Working knowledge of EMS like AdventNet Web NMS (or) Hp OpenView
    (Desirable)
    • Working knowledge of Protocol API (Desirable)
    • Java, J2EE, XML, EJB, SNMP/TL1 (Mandatory)
    • Struts, JSP, Swing, JBoss (Optional)

    Location:Chennai/Bangalore

    Compensation : Best in the Industry and Lots of perks

    Company Profile
    CLIENT OF Lorven technologies

    If interested then send me your updated CV with following details to
    prabhu@lorventech.com
    Total exp (in yrs) :
    Relevant Experience:
    Current Client:
    Current Location:
    Willing to Relocate:
    Current Role :
    Reason for a change

    Contact :
    Lorven Technologies
    10 Arunachalam Road,
    Saligramam, Chennai-600093
    Tamil Nadu, INDIA
    Phone: +91 44 4503-2445
    Last edited by Guest-IJT; June 28th, 2011 at 03:11 PM.

  2. Post Count Number #2
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    October 15th, 2010
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    HARITHA GOLLAPALLI
    Email id : haritha.gollapalli AT gmail.com

    CAREER OBJECTIVE
    To seek an opportunity to make the best possible use of my potential and capabilities and also to improve my talents and skill sets in order to ensure the organization’s and my own development.
    ACADEMIC PROFILE
    Bachelor of Technology in Computer Science Engineering from Al-Ameer College OF Engineering & IT, Visakhapatnam with First Class of 62% aggregate from 2007 to 2011
    Board of Intermediate Education from Sri Chaitanya Jnr.Kalasala, Visakhapatnam, with 80.4% aggregate from 2005 – 2007.
    Secondary School Leaving Certificate(10th) from Geetanjali Talent School,Kukkatpally, Hyderabad, with 72.16% aggregate from 2004 – 2005
    COMPUTER SKILLS
    - Basics of C language, C++, Java
    - Good With Microsoft Windows 98, 2000, XP & Vista.
    - Oracle 9i, HTML.

    PROJECT DESCRIPTION
    A Robust Spanning Tree Topology for Data Collection and Dissemination in Distributed Environments.
    Large-scale distributed applications are subject to frequent disruptions due to resource contention and failure. Such disruptions are inherently unpredictable and, therefore, robustness is a desirable property for the distributed operating environment. In this work, we describe and evaluate a robust topology for applications that operate on a spanning tree overlay network. Unlike previous work that is adaptive or reactive in nature, we take a proactive approach to robustness. The topology itself is able to simultaneously withstand disturbances and exhibit good performance. We present both centralized and distributed algorithms to construct the topology, and then demonstrate its effectiveness through analysis and simulation of two classes of distributed applications : Data collection in sensor networks and data dissemination in divisible load scheduling. The results show that our robust spanning trees achieve a desirable trade-off for two opposing metrics where traditional forms of spanning trees do not. In particular, the trees generated by our algorithms exhibit both resilience to data loss and low power consumption for sensor networks. When used as the overlay network for divisible load scheduling, they display both robustness to link congestion and low values for the makespan of the schedule.

    EXTRA CURRICULAR ACTIVITIES
    1. Event organizer in school and college days
    2. Participated in college and school level essay competitions
    3. Participated in seminars and group discussion during Graduation