Ioan Raicu

Illinois Institute of Technology

Argonne National Laboratory

CS554: Data-Intensive Computing

 

Final Presentations

Wednesday, April 29th, 2015

Please complete 8 review forms to get full participation credits.

 

SB204

  • 10:00 AM – 10:20 AM
    • Benchmarking the state-of-the-art Task Execution Frameworks of Many-Task Computing
    • Kumar Singh, Dhirendra; Bhatia, Gopal Krishna; Bhatia, Varun; Kamra, Akshay
  • 10:20 AM – 10:40 AM
    • Benchmarking the state-of-the-art Task Execution Frameworks of Many Task Computing
    • Sushil Pangarkar, Sabya Sachi, Aditya Kulkarni
  • 10:40 AM – 11:00 AM
    • Benchmarking the state-of-the-art Task Execution Frameworks of Many Task Computing
    • Mitesh Patekar, Urvish Shah, Girija Ogale
  • 11:00 AM – 11:20 AM
    • Design and Implementation of a Graph Database Using ZHT
    • Gagan Munisiddha Gowda, Benjamin L. Miwa, Anirudh Sunkineni

SB113

  • 11:20 AM – 11:40 AM
    • DETACH : Distributed Data-Aware Scheduling for Hadoop
    • Akash Rafaliya, Chintan Patel and Arpit Sheth
  • 11:40 AM – 12:00 PM
    • Improving Hadoop through FusionFS
    • Eric Faurie; Chaitanya Reddy Chatla
  • 12:00 PM – 12:20 PM
    • Distributed Scheduling and monitoring service leveraging FaBRiQ as a building block for CloudKon+
    • Arvind Shekar, Arihant Raj Nagarajan, Itua Ijagbone, Shivakumar Vinayagam
  • 12:20 PM – 12:40 PM
    • Understanding the Scalability of the Hadoop Framework through Simulations
    • Parikshita Tripathi
  • 12:40 PM – 1:00 PM
    • IMPROVING HADOOP THROUGH FUSIONFS
    • Alekya thalari, Krishnaja Kethireddy, Nirmal Kumar Ravi and Prathamesh Mantri
  • 1:00 PM – 1:20 PM
    • Benchmarking the state-of-the-art Task Execution Frameworks of Many Task Computing
    • Thomas Dubucq, Tony Forlini, Virgile Landeiro Dos Reis, and Isabelle Santos
  • 1:20 PM – 1:40 PM
    • A MATRIX scheduling system for Hadoop Framework
    • Gustavo Mendonca, Alaa Ayach, Desmond Appiah-kubi

SB106

  • 1:40 PM – 2:00 PM
    • Leveraging Fabriq as a building block for Distributed Scheduling with Cloudkon+
    • Mohammed Sadath Hussain Shaik; Raviteja Chebrolu; Chandana Dhavala
  • 2:00 PM – 2:20 PM
    • Slurm Data: Exploring Data-Aware HPC scheduling with Slurm with CODES simulator
    • Sughosh Divanji, Raghav Kapoor
  • 2:20 PM – 2:40 PM
    • A Decoupled Execution Paradigm Programming Model
    • Anthony Kougkas
  • 2:40 PM – 3:00 PM
    • Optimizing Task Management with MATRIX on HDFS
    • Anil Raj Chennuru, Meenakshi Mulinti,Petter Castro Tigre, Praninder Vuppala
  • 3:00 PM – 3:20 PM
    • Design and implement a graph database on top of ZHT
    • Chaoqi Ma & Jiabao Li
  • 3:20 PM – 3:40 PM
    • Evaluating the Support of MTC Applications on Intel Xeon Phi Many-Core Accelerators
    • Karl Stough, Serapheim Dimitropoulos, Poornima Nookala
  • 3:40 PM – 4:00 PM
    • Understanding The Scalability of Hadoop Framework through Simulations
    • Dheeraj Prajwal Bojja Venkata, Sahith Kumar Andel
  • 4:00 PM – 4:20 PM
    • Enabling Distributed Indexing And Text Search
    • Kevin Brandstatter

Online (due by 04/29/2015 @ 5PM CST)

  • Distributed Scheduling and monitoring service leveraging FaBRiQ as a building block for CloudKon+
    • Pramod Adithya Muntimadugu
  • Benchmarking of mainstream Distributed Messaging Queues
    • Rachna Bafna
  • MapReduce framework optimized for Intel Xeon Phi coproecessors
    • Dhanashree Kashid; Tushar Sudake
  • Hadoop Mapreduce OpenCL Plugin
    • Vivek Viswanathan
  • Ze-Ya! – Benchmarking Zero Hop Distributed Hashtable with Yahoo! Cloud Serving Benchmark
    • Syed Abdul Ahad
  • Benchmarking Mainstream NoSQL Databases
    • Vijayakumar Kannan, Vivin Joy, Weidi Ouyang
  • Benchmarking Mainstream NoSQL Databases
    • Ankita Ramesh

Next Semester Fall 2015

CS550