PPT-Dynamo: Amazon’s Highly Available Key-value Store

Presented By Devarsh Patel 1 CS5204 Operating Systems CS5204 Operating Systems Introduction Amazons ecommerce platform Requires performance reliability and efficiency To support continuous growth platform needs to be highly scalable. he year Design Value s based on the average of a 3 year period which includes the selected year plus the two prior years Also displayed is the following informat on for each year the umber of Complete Quarters for that year the 99 th Percentil samp Amazon’s Highly Available Key-Value Store. Presented By. Roni Hyam. Ami Desai. Introduction. Dynamo is a highly available and scalable key-value storage system adapted for a number of core services in Amazon’s e-commerce platform.. Case Study: Amazon Dynamo. Steve Ko. Computer Sciences and Engineering. University at Buffalo. Recap. CAP Theorem?. Consistency, Availability, Partition Tolerance. Pick two. Eventual consistency?. Availability and partition tolerance over consistency. crowd workers. @. niloufar_s. niloufar@cs.stanford.edu. STANFORD HCI GROUP. Niloufar Salehi, Lilly . Irani. , . Michael . Bernstein, . Ali . Alkhatib. , Eva . Ogbe. , Kristy . Milland. , . Clickhappier. Webinar . Series. Dynamics of the Madden-Julian Oscillation Field Campaign. Climate Variability. . & Predictability. Application of DYNAMO/AMIE observations to validate and improve the representation of MJO initiation and propagation in the NCEP CFSv2. Bjerknes. Memorial Lecture, AGU, San Francisco, 4 December 2012. Robert Houze. University of Washington. A personal story of three great field campaigns and the evolution of meteorological satellites . Houze. , Jr.. University of Washington. 37. th. Conference on Radar Meteorology. Norman, OK. 15 September . 2015. Polarimetric radar observations of nonprecipitating echo during DYNAMO/AMIE. DYNAMO/. COSC7388 – Advanced Distributed Computing. Presented By:. Eshwar Rohit . 0902362. Outline. Introduction. Background. Architectural Design. Implementation. Experiences & Lessons learnt. Conclusions. and. . s. ocially. . n. etworked. . with. . DYNAMO. Marco . Gennaro. , Head of Division for Data Management and Distribution Management, rms GmbH. Rhein-Main-Verkehrsverbund (RMV). Size: 14,000 sq. km. Giuseppe DeCandia, Deniz Hastorun,. Madan Jampani, Gunavardhan Kakulapati,. Avinash Lakshman, Alex Pilchin, Swaminathan Sivasubramanian, Peter Vosshall. and Werner Vogels. Motivation. Build a distributed storage system:. Giuseppe DeCandia, Deniz Hastorun,. Madan Jampani, Gunavardhan Kakulapati,. Avinash Lakshman, Alex Pilchin, Swaminathan Sivasubramanian, Peter Vosshall. and Werner Vogels. Motivation. Build a distributed storage system:. The Amazon rainforest is the largest tropical rainforest in the world, covering over five and a half a million square kilometres (1.4 billion acres).. Over half of the Amazon rainforest is located in Brazil but it is also located in other South American countries including Peru, Venezuela, Ecuador, Colombia, Guyana, Bolivia, Suriname and French Guiana.. CS 240: Computing Systems and Concurrency. Lecture 8. Marco Canini. Web applications are expected to be “always on”. Down time .  pisses off customers, costs $. System design considerations relevant to availability. Lecture 22. P2P Storage: Dynamo. November . 17. th. , . 2014. John . Kubiatowicz. Electrical Engineering and Computer Sciences. University of California, Berkeley. http://www.eecs.berkeley.edu/~kubitron/cs262.