PPT-Fine-grained Partitioning for Aggressive Data Skipping

Liwen Sun Michael J Franklin Sanjay Krishnan Reynold S Xin UC Berkeley and Databricks Inc VLDB 2014 March 17 2015 Heymo Kou Introduction Overview Workload Analysis The Partitioning Problem. - 1 - TOOLKIT - 2 - Contents The History Of Skipping 3 The Benefits of Skipping 6 Types of Skipping 7 Aims and Objectives of Project 9 Establishing a Project 10 Partnership Working 13 Marketing and P Aggressive. 1. characterized by or tending toward unprovoked offensives, attacks, invasions, or the like; militantly forward or menacing: . 2. boldly assertive and forward; pushy: . "aggressive." . Dictionary.com Unabridged. . to . Learn. the Durations of Events. Andrey. . Gusev. joint work with. Nate Chambers. , . Pranav. . Khaitan. , . Divye. . Khilnani. , . Steven . Bethard. , Dan . Jurafsky. . Examples of Event Durations. WHAT IS AGGRESSIVE DRIVING?. In Illinois, aggressive driving is defined as committing any two or more of the following violations in a single act or series of acts.. WHAT IS AGGRESSIVE DRIVING?. Driving which creates undue risk or endangers the safety of another person or vehicle.. Xen. Bhanu Vattikonda. with . Sambit. Das and . Hovav. . Shacham. 2. Motivation . Project goals. Goals of the paper. Discussion . Future work. Motivation. 3. Recent research efforts have shown that covert channel attacks are possible in the cloud using fine grained timers . . . Hardware Software Definition. Definition. : Given an application, . hw. /. sw. partitioning maps each region of the application onto . either a hardware . (custom circuits) . Andréia Marini . Adviser: Alessandro L. . Koerich. Postgraduate . Program in Computer Science (. PPGIa. ) . Pontifical . Catholic University of . Paraná (PUCPR). Outline. Motivation. The . Challenge. . NFs. . for. . Flexiable. . per-flow. . Customization. Wei Zhang, Jinho Hwang, Shriram Rajagopal, k.k. . ramakrishnan. and . timothy. . wood. – conext 2016. From: Class Wide Monolithic NFs . Landscape Ecology. Representation of scale-dependent landscape . structures responded to by a wren and a hawk.. Carolina. Wren. Red-. tailed. Hawk. Hostetler and Holling 2000. r vs. k selection life history strategies. Presented By:. Yashwanth Karthik Kumar Mamidi. 1. Committee Members:. Dr. Minhaz Zibran. Dr. Christopher M Summa. Mentors/Supervisors:. Dr. Md Tamjidul Hoque. Dr. Chindo Hicks. MS Thesis Defense Presentation. George Washington Carver Internship Program 2011. July 29. th. 2011. Alexandra Myhal, Eric . Ottesen. , and Dr. . Ravindra. Singh. Quantification of . Human . SMN . Spliced . V. ariants . by qPCR . Andréia Marini . Adviser: Alessandro L. . Koerich. Postgraduate . Program in Computer Science (. PPGIa. ) . Pontifical . Catholic University of . Paraná (PUCPR). Outline. Motivation. The . Challenge. Heng. . Ji (UIUC. ). 1. What are “entities”?. [Main meaning]. - unique world bodies with (non-unique) names, such as. people, organizations, locations. e.g. . Washington County. [Extended meaning – information extraction]. Voters want it GONE by 52% to 30%. Not surprisingly, the older you are, the more you hate it. Support for complete repeal jumps to over 60% among people over age 50. . Democrats . are a net +4 in favor of repeal. Not a majority, but a clear plurality. .