Big Data Lab: Whiteboard

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Spring 2015 Big Data Research Group Lab meeting

Location: CSB305

Time: Every Friday 2:00 ~ 3:00PM

*Please send the title of your talk to the organizer(Cameron Tolooee) by Wednesday of the week you have your presentation.


^ Date      ^ Literature Survey       ^ Research Presentation          ^ Presentation (Lit/Res)^
| 1/23   |Jared Koontz    | Scheduling |
|  |[[http://vis.stanford.edu/files/2011-D3-InfoVis.pdf|D3: Data Driven Documents]] [{{:d3presentation.pdf|slides}}] |  |  |
| 1/30   | Sagar Gaikwad | Cameron Tolooee |  |
|  |{{:Lit_Survey_1_LDHT.pdf | LDHT: Locality-aware Distributed Hash Tables}} |{{:Mendel-BDL.pdf | Mendel: A Distributed Storage System for Efficient Similarity Searches and Sequence Alignment }}|
| 2/6   | Ryan Stern | Cameron Tolooee (Lit) |  |
|  | [[http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7004323|Heterogeneous Stream Processing for Disaster Detection and Alarming]] [{{:disaster-detection.pdf|slides}}] | [[http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2904649/pdf/nihms-212443.pdf|Cloud Computing and the DNA Data Race]] [{{:cloudcompblast.pdf|slides}}]|
| 2/13  | Walid Budgaga | Avinash Pallapu |  |
|  |[[http://courses.cs.vt.edu/cs5204/fall12-kafura/Papers/MapReduce/Map-Reduce-Hadoop.pdf|Improving MapReduce Performance in Heterogeneous Environments]] [{{:walid1.pdf|slides}}] | {{:avinash1.pdf|Insider Threat Detection}} |  |
| 2/20 | Amila Suriarachchi |Jared Koontz | Khushboo Gupta |
| 2/27   |Walid Budgaga | Rahul Shanbhog| Matthew Malensek |
| 3/6   | Chuanqi Huang |Amila Suriarachchi |  |
| 3/13   | No Meeting|   |  |
| 3/20   |Spring Break |No Meeting|  |
| 3/27   | Ryan Stern |Chaunqi Huang | Khushboo Gupta |
| 4/3   | Rahul Shanbhog | Walid Budgaga | Matthew Malensek |
| 4/10  | Avinash Pallapu | Jared Koontz | Chuanqi Huang  |
| 4/17  | Sagar Gaikwad (Lit) | Khushboo Gupta |  |
| 4/24  | Cameron Tolooee | Ryan Stern | Matthew Malensek |
| 5/1  | Rahul Shanbhog | Amila Suriarachchi | Sagar Gaikwad (Res) |
| 5/8  | Avinash Pallapu | Chuanqi Huang |  |





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Big Data Lab: Whiteboard

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