PPT-Primary-Backup Replication

Author : celsa-spraggs | Published Date : 2018-10-23

COS 418 Distributed Systems Lecture 5 Kyle Jamieson 2 Simplified Fault Tolerance in MapReduce MapReduce used GFS stateless workers and clients themselves to

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Primary-Backup Replication: Transcript

COS 418 Distributed Systems Lecture 5 Kyle Jamieson 2 Simplified Fault Tolerance in MapReduce MapReduce used GFS stateless workers and clients themselves to achieve fault tolerance. VM Backup You can easily set up VM backup jobs to protect your VM data locally and offsite You can save p to 1000 recovery points per VM and rotate the points on a daily weekly monthly and yearly basis To save storage space all backed up data is aut draft-ietf-mpls-rsvp-egress-protection-01. Huaimo . Chen, . Zhenbin. Li. Ning So, . Autumn Liu, . Fengman Xu, Mehmet Toy . Lu Huang, Lei Liu. Changes to the previous version. Added details/explanations on. Gossiping. Steve Ko. Computer Sciences and Engineering. University at Buffalo. Recap. Consistency models. Linearizability. Sequential consistency. Causal consistency. Eventual consistency. Depending on application scenarios, one consistency model makes more sense that others.. : Transparent High Availability for Database Systems. Umar . Farooq. Minhas. 1. , . Shriram. Rajagopalan. 2. , Brendan Cully. 2. ,. Ashraf Aboulnaga. 1. , Kenneth Salem. 1. , Andrew Warfield. 2. The Need for High . Murtadha Al Hubail. Project Team:. Motivation & Goals. NC 1. Cluster Controller. NC2. NC3. AsterixDB typical cluster consists of a master node (Cluster Controller) and multiple node controllers (NC).. Presented by: . Kevin Brunson. Chief Technology Officer. What We Will Discuss. Microsoft Hyper-V . What is it?. Common Tasks Demo: How-To. Enable Replication. Failover a VM. Enable Live Migration. Gotchas. Shriram Rajagopalan. Brendan Cully. Ryan O’Connor. Andrew . W. arfield. Failures in a Datacenter. 2. Tolerating Failures in a Datacenter. Initial idea behind Remus was to tolerate Datacenter level failures.. Mariusz Rybusiński. Veeam. Veeam Backup & Replication . for . Hyper. -V. Features: . OS, FS, applications, source and target storage (SAN, local, NFS, CIFS) and tapes (robot, VTL, standalone). Performance: . . Product. Portfolio. Moritz . Höfer. , System Engineer. What we do!. A vicious cycle. 30-50% annual growth. Little tolerance for data loss. 24x7 operations. Increasing. recovery . demands. Data. explosion. Modern. Data Protection. Data protection challenges. Backups take too long. Recovery takes too long. Spending too much. Missing opportunities. A vicious cycle. 30-50% annual growth. CSEP 545 Transaction Processing. Philip A. Bernstein. Sameh Elnikety. Copyright ©2012 Philip A. Bernstein. 2/29/2012. 2. Outline. 1. Introduction. 2. Primary-Copy Replication. 3. Multi-Master Replication. Lecture 11, . Oct 6. th. . 2016 . How’d we get here?. Failures & single systems; fault tolerance techniques added redundancy (ECC memory, RAID, etc.). Conceptually, ECC & RAID both put a “master” in front of the redundancy to mask it from clients -- ECC handled by memory controller, RAID looks like a very reliable hard drive behind a (special) controller. Lecture 16. , Oct 22. nd. 2015 . How’d we get here?. Failures & single systems; fault tolerance techniques added redundancy (ECC memory, RAID, etc.). Conceptually, ECC & RAID both put a “master” in front of the redundancy to mask it from clients -- ECC handled by memory controller, RAID looks like a very reliable hard drive behind a (special) controller. CS249FALL 2005Sang SooKimActive Replication vs Primary-BackupIn active-replication state machine approach from Ch7oClient sends request to all serversoAll servers execute all requestsFailure of any se

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