We enjoy readings.

Books

Here are good books/ebooks that we hope you will find enjoy reading: SysTutorials Books.

Posts on the Web

Here is a collection of articles and news on scalable systems. The links are updated via RSS sources. You can subscribe to this page via RSS feed or by email.

  • Posted on Saturday November 25, 2017
    Introduction Load balance is used to rebalance the whole system resources (eg, CPU, memory, etc) so that system performance, scalability (in terms of no matter how many processes contend) and usability (in terms of idle resources can be used up immediately) will be improved. In this article, I mainly present ... Continue Reading »
  • Posted on Saturday September 09, 2017
    The encoding of x86 and x86-64 instructions is well documented in Intel or AMD’s manuals. However, they are not quite easy for beginners to start with to learn encoding of the x86-64 instructions. In this post, I will give a list of useful manuals for understanding and studying the x86-64 ... Continue Reading »
  • Posted on Saturday September 09, 2017
    The metadata checkpointing in HDFS is done by the Secondary NameNode to merge the fsimage and the edits log files periodically and keep edits log size within a limit. For various reasons, the checkpointing by the Secondary NameNode may fail. For one example, HDFS SecondaraNameNode log shows errors in its ... Continue Reading »
  • Posted on Sunday August 27, 2017
    Introduction In general, if we want to debug Linux Kernel, there are lots of tools such as Linux Perf, Kprobe, BCC, Ktap, etc, and we can also write kernel modules, proc subsystems or system calls for some specific debugging aims. However, if we have to instrument kernel to achieve our ... Continue Reading »
  • Posted on Saturday August 26, 2017
    Introduction As we know, network subsystems are important in computer systems since they are I/O systems and need to be optimized with many algorithms and skills. This article will introduce how QEMU/KVM [2] network part works. In order to put everything simple and easy to understand, we will begin with ... Continue Reading »
  • Posted on Sunday August 20, 2017
    Abstract Most popular task monitor systems (such as top, iotop, proc, etc) can only get tasks’ disk I/O information like tasks’ I/O utilization percentage every seconds due to kernel timer/tick frequency and high time cost of system interfaces. This article presents I/O Microscopy, a new way to get tasks’ disk ... Continue Reading »
  • Posted on Tuesday February 14, 2017
    Motivation Recently, I find it is hard to know the percentage of time that one process uses to wait for synchronous I/O (eg, read, etc). One way is to use the taskstats API provided by Linux Kernel [1]. However, for this way, the precision may be one problem. With this ... Continue Reading »
  • Posted on Sunday November 29, 2015
    Amazon S3 is a widely used public cloud storage system. S3 allows an object/file to be up to 5TB which is enough for most applications. The AWS Management Console provides a Web-based interface for users to upload and manage files in S3 buckets. However, uploading a large files that is ... Continue Reading »
  • Posted on Tuesday March 10, 2015
    Retail is one of the most important business domains for data science and data mining applications because of its prolific data and numerous optimization problems such as optimal prices, discounts, recommendations, and stock levels that can be solved using data analysis methods. The rise of omni-channel retail that integrates marketing, ... Continue Reading »
  • Posted on Sunday September 14, 2014
    Hadoop 2 or YARN is the new version of Hadoop. It adds the yarn resource manager in addition to the HDFS and MapReduce components. Hadoop MapReduce is a programming model and software framework for writing applications, which is an open-source variant of MapReduce designed and implemented by Google initially for ... Continue Reading »
  • Posted on Tuesday March 18, 2014
    Benchmarks are important to understand the performance and quantitative and qualitative comparison of different systems. Many analytic frameworks, such as Hive, Impala and Shark, are designed and implemented these years and become fundamental software for processing big data. How to benchmark these big data analytic systems is an interesting problem. ... Continue Reading »
  • Posted on Tuesday February 04, 2014
    The public cloud storage services like Amazon S3, Google Cloud Storage and Windows Azure Storage replicate the data to ensure high availability. On the other hand, with data being replicated, the storage services exhibits certain data consistency models. Different cloud service providers employ different data consistency models nowadays. In this ... Continue Reading »
  • Posted on Tuesday August 20, 2013
    The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. In recent years, this idea got a lot of traction and ... Continue Reading »
  • Posted on Friday July 19, 2013
    Software Engineering Advice from Building Large-Scale Distributed Systems by Jeff Dean. You can download the slides from Software Engineering Advice from Building Large-Scale Distributed Systems by Jeff Dean. These slides contain the “Numbers everyone should know” which everyone working on systems should be familiar with. Numbers Everyone Should Know L1 ... Continue Reading »
  • Posted on Wednesday July 17, 2013
    Here is a list of tutorials for learning how to write MapReduce programs on Hadoop, the opensource MapReduce implementation with HDFS. MapReduce Tutorials The official tutorial on Hadoop MapReduce framework: http://hadoop.apache.org/docs/r1.0.4/mapred_tutorial.html. Yahoo! Hadoop Tutorial A comprehensive tutorial on Hadoop from Yahoo! Developer Network: http://developer.yahoo.com/hadoop/tutorial/. More about MapReduce To better understand ... Continue Reading »
  • Posted on Tuesday January 22, 2013
    Storage Architecture and Challenges in Faculty Summit, July 29, 2010, by Andrew Fikes, Principal Engineer. Download PDF (from archive.org). This slides introduces some of Google’s storage systems with insights and discussion of problems. The post Storage Architecture and Challenges by Andrew Fikes at Google Faculty Summit 2010 appeared first on SysTutorials. Continue Reading »
  • Posted on Tuesday January 22, 2013
    Designs, Lessons and Advice from Building Large Distributed Systems by Jeaf Dean. Everyone who is interested in large distributed systems should read: PDF for Designs, Lessons and Advice from Building Large Distributed Systems by Jeaf Dean. The post Designs, Lessons and Advice from Building Large Distributed Systems appeared first on ... Continue Reading »
  • Posted on Friday December 21, 2012
    MapReduce is a well-known programming model designed for generating and processing large data. There are various MapReduce implementations. One widely known and used one may be Hadoop. Benchmarking MapReduce frameworks gets to be important. Faraz Ahmad et al. developed a benchmark suite: PUMA MapReduce Benchmark. During our work on MapReduce, ... Continue Reading »
  • Posted on Tuesday December 11, 2012
    Research on Cloud Computing has made big progresses and many excellent large-scale systems have been designed in recent years. I compiled a list of some large-scale data storage and processing systems in datacenters as follows. Storage systems Google File System (GFS): http://research.google.com/archive/gfs.html HDFS implementation: https://hadoop.apache.org/docs/r2.7.2/hadoop-project-dist/hadoop-hdfs/HdfsDesign.html Colossus (GFS2): Colossus: Successor to ... Continue Reading »
  • Posted on Tuesday December 11, 2012
    Cosmos is “Microsoft’s internal data storage/query system for analyzing enormous amounts (as in petabytes) of data”. There is no paper/technical report about Cosmos published yet. I compiled a list of information about Cosmos on the Web as follows. What is Microsoft’s Cosmos service? by Yaron Y. Goland. Microsoft Cosmos: Petabytes ... Continue Reading »
Please share if you like this post:

2 comments:

  1. Note for blog authors: if you do not want your articles appear here (we just post a excerpt, not the full content), please drop me a message and I will delete them. If you have good suggestions on blogs/sites (with a RSS feed) to add to this list, please also let me know.

  2. Yeah, the poll() function is broken on MacOS and therefore is not supported in Python for the Mac.The select library supports other polling mechanisms; it essentially exposes whatever the OS supports. Let me look into an update to the code that will use kevent on Macs.

Leave a Reply

Your email address will not be published. Required fields are marked *