PPT-PIQL: Success- Tolerant Query Processing in the Cloud

Author : debby-jeon | Published Date : 2016-06-12

Michael Armbrust Kristal Curtis Tim Kraska Armando Fox Michael J Franklin David A Patterson AMP Lab EECS UC Berkeley Introduction Largescale websites are increasingly

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "PIQL: Success- Tolerant Query Processing..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

PIQL: Success- Tolerant Query Processing in the Cloud: Transcript


Michael Armbrust Kristal Curtis Tim Kraska Armando Fox Michael J Franklin David A Patterson AMP Lab EECS UC Berkeley Introduction Largescale websites are increasingly moving from relational databases to distributed keyvalue stores. Abstract. With the wide deployment of public cloud computing infrastructures, using clouds to host data query services has become an appealing solution for the advantages on scalability and cost-saving. However, some data might be sensitive that the data owner does not want to move to the cloud unless the data confidentiality and query privacy are guaranteed.. Subgraph. Matching on Large Graphs in Cloud. Zhao Chang*, Lei . Zou. †, . Feifei. Li*. *University of Utah, USA . †. Peking University, China. Outline. Background. K-. Automorphism. Subgraph. IDOL Under . the . Hood. Techniques and algorithms. #. SeizeTheData. Read the presenter notes before presenting.. Most of the content of this presentation is contained therein.. IDOL knowledge flow. Acquisition. SpatialHadoop. Type: Research Paper (Experimental evaluation). Authors: Ahmed . Eldawy. , . Louai. . Alarabi. , Mohamed F. . Mokbel. Presented by: Siddhant Kulkarni. Term: Fall 2015. Motivation. John . Sirmon. Senior Escalation Engineer – Microsoft Corporation. Microsoft CSS at PASS 2009. Session Objectives And Takeaways. Processing issues . When good cubes go bad. Troubleshooting processing simplified . of Massive Trajectory Data based on MapReduce. Qiang. Ma, Bin Yang (. Fudan. University). Weining. . Qian. , . Aoying. Zhou (ECNU). Presented By: . Xin. Cao (Aalborg University). Outline. Introduction . Deliverable #2. Jonggun Park . Haotian. He. Maria . Antoniak. Ron Lockwood. System architecture. Two modules:. Indexing. Querying . query processing. p. assage retrieval. answer processing/ranking. CSE 8330. Conventional Query Processing. Statistics generation. Query optimization. Query execution. Unreliable cardinality . e. stimates. Complex queries. Changes in the runtime environment. Query interactivity. Cristiano Lopes, ESA. CEOS WGISS-40. 30/09/2015. Overview – Cloud Computing Uses. Cloud . computing and . Earth . Observation:. Processing,. Archiving,. Distribution,. Discovery…. Cloud computing uses in ESA EO Ground-Segment. Hosseininaveh. Table of Contents . Introduction . Typical and advance Point cloud Processing operations. PCL programming. How to install PCL and how to use the codes. Data Storage Formats . Segmentation. R. etrieval. Most slides were adapted from . Stanford CS 276 course. and . University of Munich IR course. .. Dictionary data structures for inverted indexes. The dictionary data structure stores the term vocabulary, document frequency, pointers to each postings list …. Argentina for food, processing, The increase in income bene�ts for farmers growing biotech soybean during the 21-year period 1996 to 2016 was US$59.7 billion and US$6.9 billion for 2016 alo Debapriyo Majumdar. Information Retrieval – Spring 2015. Indian Statistical Institute Kolkata. Pre-processing of a document. 2. document. text, word, XML, …. simple text. sequence of characters. ASCII, UTF-8. Query Processing. Document-at-a-time. Calculates complete scores for documents by processing all term lists, one document at a time. Term-at-a-time. Accumulates scores for documents by processing term lists one at a time.

Download Document

Here is the link to download the presentation.
"PIQL: Success- Tolerant Query Processing in the Cloud"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.

Related Documents