Hot Links for 2009-9-4

  • A tour through hybrid column/row-oriented DBMS schemes by DANIEL ABADI. Approaches: PAX, Fractured Mirrors, and Fine-grained hybrids.
  • The Future of Database Clustering by ROBERT HODGES. Simple management and monitoring, Fast, flexible replication, Top-to-bottom data protection, Partition management, Cloud and virtualized operation, Transparent application access, Open source.
  • Some perspective to this DIY storage server mentioned at Storagemojo by Joerg Moellenkamp. Quality costs. Period.
  • Turn up the volume: API Scalability with Caching by Scott.
  • Disk I/O Bottlenecks by Ryan Thiessen. My first approach to diagnosing a performance problem is to start by trying to find the system’s bottleneck.
  • Patterns for Cloud Computing by Simon Guest. Using the Cloud for Scale, Using the Cloud for Multi-Tenancy, Using the Cloud for Compute, Using the Cloud for Storage, Using the Cloud for Communications
  • Server Processor Roadmaps Show Change in Direction By Michael J. Miller. What fascinates me is the big change in direction we're seeing on server chips...The focus seemed to be on putting more cores on a chip, something we're still seeing with these new 8-, 12-, and 16-core chips. But now a lot of focus seems to be going into increasing memory bandwidth and new cache architectures, as designers are addressing the memory issues that are often the bottleneck in a multicore system, as well as core-to-core communications.
  • Confronting the Data Center Crisis: A Cost - Benefit Analysis of the IBM
    Computing on Demand (CoD) Cloud Offering

  • Azul's Experiences With Hardware / Software Co-Design by Dr. Cliff Click. Owning whole stack allows progress, Some really hard HW problems “solved” in SW, GC is “solved” w/HW Read Barrier, Simple HTM can do Lock Elision, Huge count of simple cores really useful in production.
  • Java Memory Problems - Memory problems in Java applications are manifold und easily lead to performance and scalability problems. Especially in J EE applications with a high number of parallel users memory management must be a central part of the application architecture.
  • Noob question: how do you [Reddit] join on so much data?
  • Transactional Memory versus Locks -
    A Comparative Case Study
    by Victor Pankratius. TM alone is no silver bullet.
  • Looking at Redis by Peter Zaitsev. With Redis I got about 3 times more updates/sec – close to 100.000 updates/sec with about 1.5 core being used.

    The fantasy sponsor for this post are those little food kiosks outside Home Depot stores. I love their Fire Dogs. Hot and yummy. I bet most home improvement projects in America are inspired by cravings for one of these little beauties.