PPT-Scale up Vs. Scale out in Cloud Storage and Graph Processin

Author : tatiana-dople | Published Date : 2016-09-03

Wenting Wang Le Xu Indranil Gupta Department of Computer Science University of Illinois Urbana Champaign 1 Scale up VS Scale out A dilemma for cloud application

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Scale up Vs. Scale out in Cloud Storage and Graph Processin: Transcript


Wenting Wang Le Xu Indranil Gupta Department of Computer Science University of Illinois Urbana Champaign 1 Scale up VS Scale out A dilemma for cloud application users scale up or scale out . 600.466. Social Media?. Properties of Social Media : Scale. Twitter (Chirp 2010). More than 100M user accounts. more than 600M search queries a day. 55M tweets a day. Facebook. More than 400M active users. Misleading Graphs. Good . graphs are extremely powerful tools for displaying large quantities . of complex . data; they help turn the realms of information available today . into knowledge. . But, unfortunately, some graphs deceive or mislead. This . Bad Graphs. Bad graphs. a graph should pictorially display data in a sensible and meaningful way. many graphs in the public domain fail this. two reasons why this happens:. poor design . intentionally deceiving. Mayank . Pundir. *. , . Manoj. Kumar, . Luke . M. . Leslie. ,. . Indranil . Gupta, . Roy . H. . Campbell. University of Illinois at Urbana-Champaign. *. Facebook (work done at UIUC). Synchronous Gather-Apply-Scatter. Wenting . Wang. Le Xu. Indranil Gupta. Department of Computer Science, University of Illinois, Urbana Champaign . 1. Scale up VS. Scale out. A dilemma for cloud application users: scale up or scale out? . Presented to Prof: IMRAN AHMAD. . . . . By . Nireesha . Welcome!. Instructor: . Ruoming. Jin. Office: 264 MCS Building. Email: . jin AT cs.kent.edu. Office hour: . Mondays (. 4:30PM to 5:30PM) or by appointment. TA: . Xinyu. Chang. Email: . xchang. AT . Wenting . Wang. Le Xu. Indranil Gupta. Department of Computer Science, University of Illinois, Urbana Champaign . 1. Scale up VS. Scale out. A dilemma for cloud application users: scale up or scale out? . Spectrum Protect on Spectrum Scale. Jason Basler. IBM Spectrum Protect Development. About the speaker:. Jason Basler. is the test architect responsible for IBM Spectrum Protect™. He has been part of the development team for over twenty years, and has expertise in various Spectrum Protect technologies as well as related storage technologies. He is currently driving the test activities around new releases of Spectrum Protect with a focus on scalability and publishing blueprints based on best practices derived from experience in the test labs.. Seeing the bright spots in the clouds. 4/8/2013. Dave . Fellinger. Chief Scientist, Strategy & Technology. Industry Trends. Most clouds still on file-based origin solutions. Moving slowly toward object storage. Scale, Scale Factor, & Scale Drawings. Objective:. 7.2.01 & 7.3.03. Essential Question:. . How can I use a scale factor to understand distances on a map or the size of a house or object?. Vocabulary:. Resource Management II. Eva . Kalyvianaki. ek264@cam.ac.uk. Contents. Apollo: Scalable and Coordinated Scheduling . for Cloud-Scale Computing, . by Eric Boutin, . Jaliya. Ekanayake, Wei Lin, Bing Shi, and . 1,2. , . Yunqiao. Zhang. 1. , Atul Sikaria. 1. , Pavel Zakharov. 1. , Abhinav Sharma. 1. , Shiva Shankar P. 1. , Mike Shuey. 1. , Richard Wareing. 1. , Monika Gangapuram. 1. , . Guanglei. Cao. 1. , Christian Preseau. Ashvin Goel. Electrical and Computer Engineering. University of Toronto. ECE 1724, Winter 2020. Topics. Overview of the course. Class format. Introduction to the course. My Research Background. S. ystems software.

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