PPT-Dominant Resource Fairness:
Author : danika-pritchard | Published Date : 2016-04-12
Fair Allocation of Multiple Resource Types Ali Ghodsi Matei Zaharia Benjamin Hindman Andy Konwinski Scott Shenker Ion Stoica University of California
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Dominant Resource Fairness:: Transcript
Fair Allocation of Multiple Resource Types Ali Ghodsi Matei Zaharia Benjamin Hindman Andy Konwinski Scott Shenker Ion Stoica University of California Berkeley. Lecture 24. Aditya Akella. Performance Isolation and Fairness in Multi-Tenant Cloud Storage. , D. . Shue. , M. Freedman and A. . Shaikh. , OSDI 2012.. 3. Setting: Shared Storage in the Cloud. Z. Y. T. Advanced Topics in Computer Systems. Lecture 13. Resource allocation: . Lithe/DRF. October 16. th. . , 2012. John Kubiatowicz and Anthony D. Joseph. Electrical Engineering and Computer Sciences. University of California, Berkeley. for . Cluster Schedulers. Robert Grandl. Aditya Akella. Srikanth Kandula. Ganesh Ananthanarayanan. Sriram Rao. Diverse Resource Requirements. Tasks need varying amounts of each resource. E.g., Memory [100MB to 17GB]. Clarification:. Genes. are not recessive or dominant.. Alleles. of genes are not recessive or dominant.. The . proteins made by alleles of genes . are not recessive or dominant.. You cannot tell if a trait is recessive or dominant based on the genes that affect it or the alleles in a population.. David Parkes (Harvard). Ariel Procaccia (CMU). Nisarg Shah (CMU). Motivation. Allocation of multiple resources (e.g., CPU, RAM, bandwidth) . Users have heterogeneous demands. Today: fixed bundles (slots). Ali . Ghodsi. , . Matei. . Zaharia. , Benjamin . Hindman. , Andy . Konwinski. , Scott . Shenker. , Ion . Stoica. University of California, Berkley. EECS 582 – W16. 1. Outlines. Introduction. Motivation. A Relational Fairness Guide.. Veronica Kube May 2016. Office of the Student Ombuds. 2. Acknowledgements. I would like to acknowledge and thank the following individuals for their input, feedback, and support in the creation of this handbook :. David Parkes (Harvard). Ariel Procaccia (CMU). Nisarg Shah (CMU). Motivation. Allocation of multiple resources (e.g., CPU, RAM, bandwidth) . Users have heterogeneous demands. Today: fixed bundles (slots). What do these words mean?. The . dominant impression. of a piece of writing is the mood, feeling, atmosphere or quality that is the focus of the text. A strong text allows readers to “feel” the mood of the writer. How does the writer do this? Through language!. What do these words mean?. The . dominant impression. of a piece of writing is the mood, feeling, atmosphere or quality that is the focus of the text. A strong text allows readers to “feel” the mood of the writer. How does the writer do this? Through language!. The Fairness Quotient and Why it Matters Fran Sepler, Sepler & Associates for South Dakota SHRM Think of a Time You Were Treated Unfairly At Work What made the experience fair? How did you react? FLIN: Enabling Fairness and Enhancing Performance in Modern NVMe Solid State Drives August 7, 2019 Santa Clara, CA Saugata Ghose Carnegie Mellon University Executive Summary Modern solid-state drives (SSDs) use new storage protocols Mojtaba . Malekpourshahraki. Brent Stephens. Balajee. . Vamanan. Modern . datacenter. Datacenters host multiple . applications with different requirements. Memcache. (delay). Web search (delay) . Spark (throughput). Ali . Ghodsi. , . Matei. . Zaharia. , Benjamin . Hindman. , Andy . Konwinski. , Scott . Shenker. , Ion . Stoica. What is Fair Sharing?. n users want to share a resource (e.g., CPU). Solution: . Allocate each 1/n of the shared resource.
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