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SciMark 2.0 is a Java benchmark for scientific and numerical computing. It measures several computational kernels and reports a composite score in approximate Mflops (Millions of floating point operations per second). You can run the benchmark directly from your browser, or download the class files and Java source codes to run SciMark 2.0 on a separate Java environment. Afterwards, you may want to submit the results to our database of existing scores. Version 2.0
Java SciMark 2.0
Download SPEC Benchmarks
The benchmarks listed below are the only ones which are currently offered via download. All others are available for purchase only on physical media.
This document is a practical guide for setting up and running SPECjvm2008. To submit SPECjvm2008 results the benchmarker must adhere to the rules contained in the Run and Reporting Rules document contained in the kit. This document is targeted at people trying to run the SPECjvm2008 benchmark in order to accurately measure their Java system, comprising a JRE and an underlying operating system and hardware. Logical CPU - A hardware thread, i.e. what the system reports as a execution unit, for example a core, a hyper thread or a strand, depending on architecture.
jvm2008 User's Guide
In our last test, Windows Vista finally had a win with its Java stack. The j2dbench performance was significantly better on Windows Vista Premium, but that's likely attributed to the Intel graphics stack on Linux having little in the way of performance optimizations. Mesa isn't yet performance oriented and there is no kernel memory manager or other features found in Ubuntu 8.10 for Intel graphics. This though should improve vastly with time considering the invasive work currently taking place within the X.Org / Mesa community and the eventual adoption of the Gallium3D architecture. Well, Java on Ubuntu was pretty much the hands-down winner compared to Microsoft Windows Vista Premium SP1. Running the Java tests on Ubuntu had experienced significant advantages when it came to file encryption, Fast Fourier Transforms, Successive Over Relaxation, Monte Carlo, and the composite Java SciMark performance.
[Phoronix] Java Performance: Ubuntu Linux vs. Windows Vista
Phoronix Test Suite - Linux Testing & Benchmarking Platform, Automated Testing Framework, Open-Source Benchmarking
The Phoronix Test Suite is the most comprehensive testing and benchmarking platform available that provides an extensible framework for which new tests can be easily added. The software is designed to effectively carry out both qualitative and quantitative benchmarks in a clean, reproducible, and easy-to-use manner. The Phoronix Test Suite is based upon the extensive testing and internal tools developed by Phoronix.com since 2004 along with support from leading tier-one computer hardware and software vendors. This software is open-source and licensed under the GNU GPLv3. Originally developed for automated Linux testing, support to the Phoronix Test Suite has since been added for OpenSolaris, Apple Mac OS X, Microsoft Windows, and BSD operating systems.
Lucandra / Solandra: A Cassandra-based Lucene backend « Sematext Blog
February 9, 2010 by sematext In this guest post Jake Luciani ( @tjake ) introduces Lucandra ( Update : now known as Solandra – see our State of Solandra post), a Cassandra-based backend for Lucene ( Update : now integrated with Solr instead). For most users, the trickiest part of deploying a Lucene based solution is managing and scaling storage, reads, writes and index optimization. Solr and Katta (among others) offer ways to address these, but still require quite a lot of administration and maintenance. This problem is not specific to Lucene. In fact most data management applications require a significant amount of administration.
Juho Mäkinen's blog » Example how to model your data into nosql with cassandra
We have built a facebook style “messenger” into our web site which uses cassandra as storage backend. I’m describing the data schema to server as a simple example how cassandra (and nosql in general) can be used in practice. Here’s a diagram on the two column families and what kind of data they contain. Data is modelled into two different column families: TalkMessages and TalkLastMessages .
Spaltenorientierte Datenbanken - Gesellschaft für Informatik e.V.
1 Einleitung Relationale Datenbank-Management-Systeme (RDBMS) sind aus Unternehmen und anderen Institutionen nicht mehr wegzudenken. In ihnen lagert ein Großteil der strukturierten Daten, die bei der Ausführung von Geschäftsprozessen anfallen und verarbeitet werden. Diese Daten werden sowohl für die Bearbeitung von
HBase vs Cassandra: why we moved « Dominic Williams
My team is currently working on a brand new product – the forthcoming MMO www.FightMyMonster.com . This has given us the luxury of building against a NOSQL database, which means we can put the horrors of MySQL sharding and expensive scalability behind us. Recently a few people have been asking why we seem to have changed our preference from HBase to Cassandra. I can confirm the change is true and that we have in fact almost completed porting our code to Cassandra, and here I will seek to provide an explanation. For those that are new to NOSQL, in a following post I will write about why I think we will see a seismic shift from SQL to NOSQL over the coming years, which will be just as important as the move to cloud computing. That post will also seek to explain why I think NOSQL might be the right choice for your company.There have been confirmed rumors about Twitter planning to use Cassandra for a long time. But except the mentioned post, I couldn’t find any other references. Twitter is fun by itself and we all know that NoSQL projects love Twitter . So, imagine how excited I was when after posting about Cassandra 0.5.0 release , I received a short email from Ryan King, the lead of Cassandra efforts at Twitter simply saying that he would be glad to talk about these efforts.
Cassandra @ Twitter: An Interview with Ryan King :: myNoSQL
Installing and using Cassandra with Java, part 1 (setup) , 2 (data model) and 3 (data model 2) . Part 4 is titled Thrift Client but it's also another data model example, with code samples WTF is a SuperColumn? an Introduction to the Cassandra Data Model.
ArticlesAndPresentations - Cassandra Wiki
bigtable-osdi06.pdf - Powered by Google Docs
404. That’s an error. The requested URL /external_content/untrusted_dlcp/labs.google.com/en//papers/bigtable-osdi06.pdf was not found on this server.In two weeks we’ll present a paper on the Dynamo technology at SOSP , the prestigious biannual Operating Systems conference. Dynamo is internal technology developed at Amazon to address the need for an incrementally scalable, highly-available key-value storage system. The technology is designed to give its users the ability to trade-off cost, consistency, durability and performance, while maintaining high-availability.
Amazon's Dynamo - All Things Distributed
The Onto-Med Research Group conducts basic research in formal ontology, designs formal tools for constructing and managing ontologies and develops top level ontologies as well as domain and core ontologies for medicine, bio-medicine and biology, but also for other fields. The Onto-Med group uses an interdisciplinary approach, combining methods from logic, computer science, philosophy and cognitive linguistics. The Onto-Med group considers Formal Ontology as an evolving science which is concerned with systematically developing axiomatic theories that describe forms, structures, and modes of being at different levels of abstraction and granularity. The roots of formal ontology can be traced back to the philosophical investigations of Aristotle and Plato . Their work was creatively enriched during the early Middle Ages by Islamic philosophers, including Avicenna , renowned as one of the history's greatest thinkers and medical scholars.