PDF-Duet: Cloud Scale Load Balancing

with Hardware and Software 1 Hongqiang Harry Liu Guohan Lu Jitu Padhye Lihua Yuan Ming Zhang Rohan Gandhi Y Charlie Hu Load Balancer is Critical For Online Services 2 Server S. as well as the server?. Nikhil Handigol. Stanford University. Joint work with Nick . McKeown. and . Ramesh. . Johari. Datacenter. Wide-area. Enterprise. Can’t choose path :’(. LOAD-BALANCER. Client. About 1/2. About. . 2/2. Demos. . 1/2. Demos. . 2/2. Resources(FAQ). . 1/3. Resources(FAQ). . 2/3. Resources(FAQ). . 3/3. Resources(Customer Success Stories). . 1. /1. Resources(Thought Leadership). Presented by Paul. Problem. The cloud offers. Near infinite computing capabilities. Near infinite storage. On-demand access to new VMs. Pay-as-you-go model. But how do you build an application to automatically take advantage of those resources?. Rusty Lusk. Mathematics and Computer Science Division. Argonne . National Laboratory. Outline. Introduction. Two abstract programming models. Load balancing and master/slave algorithms. A collaboration on modeling small nuclei. Keqiang He. , Eric . Rozner. , . Kanak. . Agarwal. , Wes . Felter. , John Carter, . Aditya. . Akella. 1. Background. Datacenter . n. etworks support a wide variety of traffic. Elephants: throughput sensitive. Aditi Ghag. 2. Naga Katta. 1,2. , . Mukesh. Hira. 2. , . Changhoon. Kim. 3. , Isaac Keslassy. 2,4. , Jennifer Rexford. 1 . 1. Princeton University, . 2. VMware, . 3. Barefoot Networks, . 4. Technion. Group Member: Jingwei Hao. Xiaofeng Yuan. Yanjun Liu. . Motivation & Goals. Provide a platform for convenient second-hand product trading. s. “I regard the theatre as the greatest of all art forms, the most immediate way in which a human being can share with another the sense of what it is to be a human being.” – Oscar Wilde. Vocabulary. as well as the server?. Nikhil Handigol. Stanford University. Joint work with Nick . McKeown. and . Ramesh. . Johari. Datacenter. Wide-area. Enterprise. Can’t choose path :’(. LOAD-BALANCER. Client. Aran Bergman. (Technion, VMware). Naga Katta, Aditi . Ghag. , . Mukesh. Hira, . Changhoon. Kim, Isaac . Keslassy. , Jennifer Rexford. CLOVE. 1. Data center load balancing today. E. qual-. C. ost . Sig Freund. Outline. Introduction. Distributed vs. Traditional . scheduling. Process Interaction models. Distributed . Systems. Research Studies. Guess about the Future?. Questions. Introduction. Load Sharing. Vlad. . Nae. , . Radu. . Prodan. , Thomas . Fahringer. Institute of Computer Science. University of Innsbruck. 10/25/2010. MMOG Subscriptions (last 10 years). 1. Introduction. 24 million subscribers. Highlights. Ignacio Reguero . Naredo and Lorena Lobato Pardavila. CHEP 2016. . Octo. ber 10-14 . 2016. 1. CHEP 2016 October 10-14 2016 DNS Load Balancing in the CERN Cloud Highlights. DNS Load Balancing is Cost Effective. Gengbin. . Zheng. , Esteban . Meneses. , . Abhinav. . Bhatele. and . Laxmikant. V. Kale. Parallel Programming Lab. University of Illinois at Urbana Champaign. Motivations. Load balancing is key to scalability on very large supercomputers.