Tcl/Tk Engineering Manual John K. Ousterhout Sun Microsystems, Inc. 1. Introduction This is a manual for people who are developing C code for Tcl, Tk, and their extensions and

Source URL: www.tcl.tk

Copysets: Reducing the Frequency of Data Loss in Cloud Storage Asaf Cidon, Stephen Rumble, Ryan Stutsman, Sachin Katti, John Ousterhout and Mendel Rosenblum Stanford University , {rumble,stutsman,skatti

Source URL: www.stanford.edu

Chapter 5 Optimizing Program Performance The biggest speedup you’ll ever get with a program will be when you first get it working. John K. Ousterhout The primary objective in writing a program must be to make it work

Source URL: csapp.cs.cmu.edu

• Software engineering
• Computing
• Compiler optimizations
• Software
• Compiler construction
• Programming language implementation
• Program analysis
• Data types
• Optimizing compiler
• Program optimization
• Compiler
• Loop unrolling

Implementing Replicated Logs with Paxos John Ousterhout and Diego Ongaro Stanford University Note: this material borrows heavily from slides by Lorenzo Alvisi, Ali Ghodsi, and David Mazières

Source URL: www.cs.utah.edu

• Fault-tolerant computer systems
• Computing
• Paxos
• Consensus
• Replication
• Paxi

It’s Time for Low Latency Steve Rumble, Diego Ongaro, Ryan Stutsman, Mendel Rosenblum, John Ousterhout Stanford University

Source URL: www.usenix.org

• Computing
• Computer architecture
• Computer networks
• Supercomputers
• Software
• Remote direct memory access
• InfiniBand
• IWARP
• Latency
• PCI Express
• Low latency
• Linux kernel

It’s Time for Low Latency Stephen M. Rumble, Diego Ongaro, Ryan Stutsman, Mendel Rosenblum, and John K. Ousterhout Stanford University Abstract CPU Speed

Source URL: ongardie.net

• Computing
• Ethernet
• Networking hardware
• Low latency
• Latency
• Engineering
• Network interface controller
• Storage area network
• Cut-through switching
• RDMA over Converged Ethernet
• Network performance

In Search of an Understandable Consensus Algorithm Diego Ongaro and John Ousterhout, Stanford University https://www.usenix.org/conference/atc14/technical-sessions/presentation/ongaro This paper is included in the Proce

Source URL: www.cs.utah.edu

• Fault-tolerant computer systems
• Computing
• Concurrent computing
• Distributed algorithms
• Distributed computing
• Paxos
• Consensus
• Raft
• Replication
• Leader election
• Extensible Storage Engine
• Best
• worst and average case

In Search of an Understandable Consensus Algorithm (Extended Version) Diego Ongaro and John Ousterhout Stanford University Abstract

Source URL: pdos.csail.mit.edu

• Fault-tolerant computer systems
• Computing
• Concurrent computing
• Distributed algorithms
• Distributed computing
• Data synchronization
• Paxos
• Consensus
• Replication
• Raft
• Extensible Storage Engine
• Leader election

Raft: A Consensus Algorithm for Replicated Logs Diego Ongaro and John Ousterhout Stanford University Goal: Replicated Log

Source URL: www.cs.utah.edu

• Computing
• Fault-tolerant computer systems
• Consensus
• Leader election
• Timeout
• Raft
• Server
• Log
• Software engineering

7 The RAMCloud Storage System JOHN OUSTERHOUT, ARJUN GOPALAN, ASHISH GUPTA, ANKITA KEJRIWAL, COLLIN LEE, BEHNAM MONTAZERI, DIEGO ONGARO, SEO JIN PARK, HENRY QIN, MENDEL ROSENBLUM, STEPHEN RUMBLE, RYAN STUTSMAN,

Source URL: ongardie.net

• Computer architecture
• Structured storage
• NoSQL
• Cross-platform software
• Data management
• Memcached
• Dynamic random-access memory
• Database
• Scalability
• Storage area network
• Cache
• Apache Cassandra