high_scalability high_scalability-2010 high_scalability-2010-926 knowledge-graph by maker-knowledge-mining
Source: html
Introduction: On a cold and rainy Fall day, a day stolen from winter rather than our usual gorgeous Indian Summers , a day not even the SF Giants winning the pennant can help warm, here are some hot links to read by a digital flame: Using MySQL as a NoSQL - A story for exceeding 750,000 qps on a commodity server by Yoshinori Matsunobu. Wonderfully detailed post on how you can lookup a row by ID really fast if you bypass all the typical MySQL query parsing overhead. Minecraftwiki.net and minecraftforum.net now serve more traffic than Slashdot and Stackoverflow! 1 million pageviews and 100k uniques per day, per site; 10TB of bandwidth a month; 4+ machines running Varnish, HAProxy, PHP, MySQL, Nginx. Stuff the Internet Says: @ old_sound : Somebody make me a t-shirt that says "I've read the CAP theorem and I liked it" @dscape : How relevant do I think the CAP theorem is? Not at all. I honestly hate conversations where anyone talks about crap.. cap, sorry. @humidbei
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1 Stuff the Internet Says: @ old_sound : Somebody make me a t-shirt that says "I've read the CAP theorem and I liked it" @dscape : How relevant do I think the CAP theorem is? [sent-7, score-0.334]
2 I honestly hate conversations where anyone talks about crap. [sent-9, score-0.08]
3 Of the CAP theorem’s Consistency, Availability, and Partition Tolerance, Partition Tolerance is mandatory in distributed systems. [sent-19, score-0.077]
4 Instead of CAP, you should think about your availability in terms of yield (percent of requests answered successfully) and harvest (percent of required data actually included in the responses) and which of these two your system will sacrifice when failures happen. [sent-21, score-0.133]
5 NoSQL can be fully consistent, Cassandra didn't kill Digg, Tweets are still stored in MySQL, NoSQL doesn't offer unlimited scalability, and the object-relational impedance mismatch still lives in the heart of systems. [sent-23, score-0.084]
6 The crucial enabler for SDN is distributed control platform that shields developers from the details of the underlying physical infrastructure and allows them to write sophisticated control logic against a high-level API. [sent-36, score-0.164]
7 Kent Langley has rounded up a lot of good links to ZeroMQ . [sent-45, score-0.08]
8 Really cool scissors where you can set the blade length. [sent-48, score-0.084]
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Introduction: On a cold and rainy Fall day, a day stolen from winter rather than our usual gorgeous Indian Summers , a day not even the SF Giants winning the pennant can help warm, here are some hot links to read by a digital flame: Using MySQL as a NoSQL - A story for exceeding 750,000 qps on a commodity server by Yoshinori Matsunobu. Wonderfully detailed post on how you can lookup a row by ID really fast if you bypass all the typical MySQL query parsing overhead. Minecraftwiki.net and minecraftforum.net now serve more traffic than Slashdot and Stackoverflow! 1 million pageviews and 100k uniques per day, per site; 10TB of bandwidth a month; 4+ machines running Varnish, HAProxy, PHP, MySQL, Nginx. Stuff the Internet Says: @ old_sound : Somebody make me a t-shirt that says "I've read the CAP theorem and I liked it" @dscape : How relevant do I think the CAP theorem is? Not at all. I honestly hate conversations where anyone talks about crap.. cap, sorry. @humidbei
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Introduction: In many of the recent discussions on the design of large scale systems (a.k.a. Web Scale) it was argued that the right set of tradeoffs for building large scale systems would be to give away C onsistency for A vailability and P artition tolerance. Those arguments relied on the foundation of the CAP theorem developed in early 2000-2002. One of the core principals behind the CAP theorem is that you must choose two out of the three CAP properties. In many of the transactional systems giving away consistency is either impossible or yields a huge complexity in the design of those systems. In this series of posts, I've tried to suggest a different set of tradeoffs in which we could achieve scalability without compromising on consistency. I also argued that rather than choosing only two out of the three CAP properties we could choose various degrees of all three. The degrees would be determined by the most likely availability and partition tolerance scenarios in our specific application.
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Introduction: In this post i wanted to spend sometime on the CAP theorem and clarify some of the confusion that i often see when people associate CAP with scalability without fully understanding the implications that comes with it and the alternative approaches You can read the full article here
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Introduction: It's a truism that we should choose the right tool for the job . Everyone says that. And who can disagree? The problem is this is not helpful advice without being able to answer more specific questions like: What jobs are the tools good at? Will they work on jobs like mine? Is it worth the risk to try something new when all my people know something else and we have a deadline to meet? How can I make all the tools work together? In the NoSQL space this kind of real-world data is still a bit vague. When asked, vendors tend to give very general answers like NoSQL is good for BigData or key-value access. What does that mean for for the developer in the trenches faced with the task of solving a specific problem and there are a dozen confusing choices and no obvious winner? Not a lot. It's often hard to take that next step and imagine how their specific problems could be solved in a way that's worth taking the trouble and risk. Let's change that. What problems are you using NoSQL to sol
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Introduction: Awesome paper on how particular synchronization mechanisms scale on multi-core architectures: Everything You Always Wanted to Know About Synchronization but Were Afraid to Ask . The goal is to pick a locking approach that doesn't degrade as the number of cores increase. Like everything else in life, that doesn't appear to be generically possible: None of the nine locking schemes we consider consistently outperforms any other one, on all target architectures or workloads. Strictly speaking, to seek optimality, a lock algorithm should thus be selected based on the hardware platform and the expected workload . Abstract: This paper presents the most exhaustive study of synchronization to date. We span multiple layers, from hardware cache-coherence protocols up to high-level concurrent software. We do so on different types architectures, from single-socket – uniform and nonuniform – to multi-socket – directory and broadcastbased – many-cores. We draw a set of observations t
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Introduction: On a cold and rainy Fall day, a day stolen from winter rather than our usual gorgeous Indian Summers , a day not even the SF Giants winning the pennant can help warm, here are some hot links to read by a digital flame: Using MySQL as a NoSQL - A story for exceeding 750,000 qps on a commodity server by Yoshinori Matsunobu. Wonderfully detailed post on how you can lookup a row by ID really fast if you bypass all the typical MySQL query parsing overhead. Minecraftwiki.net and minecraftforum.net now serve more traffic than Slashdot and Stackoverflow! 1 million pageviews and 100k uniques per day, per site; 10TB of bandwidth a month; 4+ machines running Varnish, HAProxy, PHP, MySQL, Nginx. Stuff the Internet Says: @ old_sound : Somebody make me a t-shirt that says "I've read the CAP theorem and I liked it" @dscape : How relevant do I think the CAP theorem is? Not at all. I honestly hate conversations where anyone talks about crap.. cap, sorry. @humidbei
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