high_scalability high_scalability-2010 high_scalability-2010-823 knowledge-graph by maker-knowledge-mining
Source: html
Introduction: A non-random sample of my tech friends shows that not many have heard of memristors (though I do suspect vote tampering). I'd read a little about memristors in 2008 when the initial hubbub about the existence of memristors was raised. I, however, immediately filed them into that comforting conceptual bucket of potentially revolutionary technologies I didn't have to worry about because like most wondertech, nothing would ever come of it. Wrong. After watching Finding the Missing Memristor by R. Stanley Williams I've had to change my mind. Memristors have gone from "maybe never" to holy cow this could happen soon and it could change everything. Let's assume for the sake of dreaming memristors do prove out. How will we design systems when we have access to a new material that is two orders of magnitude more efficient from a power perspective than traditional transistor technologies, contains multiple petabits (1 petabit = 128TB) of persistent storage, and can be reconfigured t
sentIndex sentText sentNum sentScore
1 A non-random sample of my tech friends shows that not many have heard of memristors (though I do suspect vote tampering). [sent-1, score-0.576]
2 I'd read a little about memristors in 2008 when the initial hubbub about the existence of memristors was raised. [sent-2, score-1.152]
3 Let's assume for the sake of dreaming memristors do prove out. [sent-8, score-0.576]
4 I won't pretend I actually understand what memristors are or how they will change everything. [sent-15, score-0.576]
5 A Memristor is Like a Pipe (seriously) Here's a simple analogy defining a memristor from How We Found the Missing Memristor : A memristor is a pipe that changes diameter with the amount and direction of water that flows through it. [sent-17, score-1.082]
6 That freezing property suits memristors brilliantly for computer memory. [sent-22, score-0.576]
7 In five years memristors could completely replace DRAM and disk and eventually CDs and DVDs. [sent-42, score-0.643]
8 Yet, until memristors are many times more durable, they can never replace DRAM and SRAM, they will become a flash only replacement. [sent-48, score-0.678]
9 It's hard to tell as the competition will be fierce, but maybe we'll see memristors first used in a relatively standalone next generation product, like a new smart phone that will leapfrog the iPhone. [sent-55, score-0.622]
10 But it turns out memristors naturally implement something called material implication logic, which can be interconnected to create any logical operation, much the same way NAND gates were used to build early supercomputers because they were easier to build. [sent-68, score-0.644]
11 Williams claims that dynamically changing memristors between memory and logic operations constitutes a new computing paradigm enabling calculations to be performed in the same chips where data is stored, rather than in a specialized central processing unit . [sent-73, score-0.717]
12 Over the next 10 years they project memristors + on chip photonic interconnects will improve the overall computational throughput of a computer system by two orders of magnitude per unit of power, far outpacing what Moore's law and transistors can accomplish. [sent-82, score-0.662]
13 It's not easy to project the impact of memristors beyond the obvious because memristors challenge our common sense notion of system costs and capabilities. [sent-91, score-1.152]
14 We are used to managing for scarcity, but with memristors we have material abundance. [sent-92, score-0.644]
15 The problem is without a commercially available device it can't be clear how to characterize system components or assign costs, but can we still make a guess how memristor based devices would fit into Mr Gray's model? [sent-109, score-0.608]
16 With memristors, and let's just say we now are using the memristors only as storage, we now have very large quantities of data directly accessible to the CPU. [sent-179, score-0.622]
17 For a great talk on how memristors can implement FPGA like devices take a look at the video Hybrid CMOS-Memristor Reconfigurable Logic . [sent-220, score-0.667]
18 Will memristors make it possible to make highly integrated devices that have fewer component parts and use lower power? [sent-251, score-0.667]
19 Low Power Sensors Building on the previous section which played with the idea that memristors could be used to build highly integrated low power devices without the risk and expense of creating ASICs, if this were true it could finally usher in the era of sensors. [sent-253, score-0.737]
20 The SyNAPSE Project - uses memristors in their goal of developing a petascale machine that requires no more than a kilowatt of power and two liters of space. [sent-297, score-0.646]
wordName wordTfidf (topN-words)
[('memristors', 0.576), ('memristor', 0.454), ('asics', 0.122), ('gray', 0.112), ('fpgas', 0.109), ('stanley', 0.103), ('flash', 0.102), ('devices', 0.091), ('ram', 0.081), ('williams', 0.079), ('transducers', 0.074), ('power', 0.07), ('material', 0.068), ('disk', 0.067), ('computation', 0.064), ('device', 0.063), ('circuit', 0.063), ('missing', 0.062), ('microprocessors', 0.062), ('frames', 0.062), ('pipe', 0.062), ('chua', 0.062), ('memristorby', 0.062), ('petabits', 0.062), ('ambient', 0.061), ('water', 0.06), ('dram', 0.057), ('asic', 0.056), ('dense', 0.055), ('diameter', 0.052), ('cpu', 0.051), ('memory', 0.051), ('frame', 0.049), ('network', 0.048), ('effectively', 0.048), ('movie', 0.047), ('next', 0.046), ('data', 0.046), ('computing', 0.044), ('instructions', 0.043), ('hp', 0.042), ('processor', 0.041), ('purpose', 0.041), ('video', 0.041), ('duncan', 0.041), ('resistive', 0.041), ('resistor', 0.041), ('predicted', 0.04), ('chip', 0.04), ('cost', 0.04)]
simIndex simValue blogId blogTitle
same-blog 1 1.0000006 823 high scalability-2010-05-05-How will memristors change everything?
Introduction: A non-random sample of my tech friends shows that not many have heard of memristors (though I do suspect vote tampering). I'd read a little about memristors in 2008 when the initial hubbub about the existence of memristors was raised. I, however, immediately filed them into that comforting conceptual bucket of potentially revolutionary technologies I didn't have to worry about because like most wondertech, nothing would ever come of it. Wrong. After watching Finding the Missing Memristor by R. Stanley Williams I've had to change my mind. Memristors have gone from "maybe never" to holy cow this could happen soon and it could change everything. Let's assume for the sake of dreaming memristors do prove out. How will we design systems when we have access to a new material that is two orders of magnitude more efficient from a power perspective than traditional transistor technologies, contains multiple petabits (1 petabit = 128TB) of persistent storage, and can be reconfigured t
Introduction: All in all this is still my favorite post and I still think it's an accurate vision of a future. Not everyone agrees, but I guess we'll see..."But it is not complicated. [There's] just a lot of it." \--Richard Feynmanon how the immense variety of the world arises from simple rules.Contents:Have We Reached the End of Scaling?Applications Become Black Boxes Using Markets to Scale and Control CostsLet's Welcome our Neo-Feudal OverlordsThe Economic Argument for the Ambient CloudWhat Will Kill the Cloud?The Amazing Collective Compute Power of the Ambient CloudUsing the Ambient Cloud as an Application RuntimeApplications as Virtual StatesConclusionWe have not yet begun to scale. The world is still fundamentally disconnected and for all our wisdom we are still in the earliest days of learning how to build truly large planet-scaling applications.Today 350 million users on Facebook is a lot of users and five million followers on Twitter is a lot of followers. This may seem like a lot now, but c
Introduction: "But it is not complicated. [There's] just a lot of it." \--Richard Feynmanon how the immense variety of the world arises from simple rules.Contents:Have We Reached the End of Scaling?Applications Become Black Boxes Using Markets to Scale and Control CostsLet's Welcome our Neo-Feudal OverlordsThe Economic Argument for the Ambient CloudWhat Will Kill the Cloud?The Amazing Collective Compute Power of the Ambient CloudUsing the Ambient Cloud as an Application RuntimeApplications as Virtual StatesConclusionWe have not yet begun to scale. The world is still fundamentally disconnected and for all our wisdom we are still in the earliest days of learning how to build truly large planet-scaling applications.Today 350 million users on Facebook is a lot of users and five million followers on Twitter is a lot of followers. This may seem like a lot now, but consider we have no planet wide applications yet. None.Tomorrow the numbers foreshadow a newCambrian explosionof connectivity that will look as
4 0.18541728 538 high scalability-2009-03-16-Are Cloud Based Memory Architectures the Next Big Thing?
Introduction: We are on the edge of two potent technological changes: Clouds and Memory Based Architectures. This evolution will rip open a chasm where new players can enter and prosper. Google is the master of disk. You can't beat them at a game they perfected. Disk based databases like SimpleDB and BigTable are complicated beasts, typical last gasp products of any aging technology before a change. The next era is the age of Memory and Cloud which will allow for new players to succeed. The tipping point will be soon. Let's take a short trip down web architecture lane: It's 1993: Yahoo runs on FreeBSD, Apache, Perl scripts and a SQL database It's 1995: Scale-up the database. It's 1998: LAMP It's 1999: Stateless + Load Balanced + Database + SAN It's 2001: In-memory data-grid. It's 2003: Add a caching layer. It's 2004: Add scale-out and partitioning. It's 2005: Add asynchronous job scheduling and maybe a distributed file system. It's 2007: Move it all into the cloud. It's 2008: C
5 0.16953817 786 high scalability-2010-03-02-Using the Ambient Cloud as an Application Runtime
Introduction: This is an excerpt from my article Building Super Scalable Systems: Blade Runner Meets Autonomic Computing in the Ambient Cloud. The future looks many, big, complex, and adaptive: Many clouds. Many servers. Many operating systems. Many languages. Many storage services. Many database services. Many software services. Many adjunct human networks (like Mechanical Turk). Many fast interconnects. Many CDNs. Many cache memory pools. Many application profiles (simple request-response, live streaming, computationally complex, sensor driven, memory intensive, storage intensive, monolithic, decomposable, etc). Many legal jurisdictions. Don't want to perform a function on Patriot Act "protected" systems then move the function elsewhere. Many SLAs. Many data driven pricing policies that like airplane pricing algorithms will price "seats" to maximize profit using multi-variate time sensitive pricing models. Many competitive products. The need t
6 0.1632349 768 high scalability-2010-02-01-What Will Kill the Cloud?
7 0.15521908 661 high scalability-2009-07-25-Latency is Everywhere and it Costs You Sales - How to Crush it
8 0.15303242 761 high scalability-2010-01-17-Applications Become Black Boxes Using Markets to Scale and Control Costs
9 0.14346212 778 high scalability-2010-02-15-The Amazing Collective Compute Power of the Ambient Cloud
10 0.13963388 1369 high scalability-2012-12-10-Switch your databases to Flash storage. Now. Or you're doing it wrong.
11 0.1386579 920 high scalability-2010-10-15-Troubles with Sharding - What can we learn from the Foursquare Incident?
12 0.12688972 1177 high scalability-2012-01-19-Is it time to get rid of the Linux OS model in the cloud?
13 0.12669304 1240 high scalability-2012-05-07-Startups are Creating a New System of the World for IT
14 0.1246959 796 high scalability-2010-03-16-Justin.tv's Live Video Broadcasting Architecture
15 0.12442432 1359 high scalability-2012-11-15-Gone Fishin': Justin.Tv's Live Video Broadcasting Architecture
16 0.12218273 1187 high scalability-2012-02-03-Stuff The Internet Says On Scalability For February 3, 2012
17 0.12156552 1600 high scalability-2014-02-21-Stuff The Internet Says On Scalability For February 21st, 2014
18 0.12129205 1207 high scalability-2012-03-12-Google: Taming the Long Latency Tail - When More Machines Equals Worse Results
19 0.11905878 1509 high scalability-2013-08-30-Stuff The Internet Says On Scalability For August 30, 2013
20 0.1172497 882 high scalability-2010-08-18-Misco: A MapReduce Framework for Mobile Systems - Start of the Ambient Cloud?
topicId topicWeight
[(0, 0.242), (1, 0.13), (2, 0.036), (3, 0.091), (4, -0.067), (5, 0.005), (6, 0.015), (7, 0.084), (8, -0.037), (9, 0.018), (10, 0.009), (11, -0.042), (12, -0.0), (13, 0.065), (14, 0.057), (15, 0.024), (16, -0.051), (17, 0.033), (18, -0.041), (19, 0.04), (20, -0.065), (21, 0.021), (22, -0.029), (23, 0.031), (24, 0.017), (25, -0.004), (26, -0.009), (27, -0.031), (28, -0.017), (29, -0.002), (30, -0.037), (31, 0.035), (32, 0.031), (33, -0.004), (34, 0.003), (35, -0.029), (36, 0.01), (37, -0.006), (38, -0.016), (39, 0.007), (40, 0.011), (41, -0.003), (42, 0.001), (43, -0.004), (44, 0.044), (45, -0.025), (46, -0.006), (47, -0.016), (48, -0.004), (49, 0.011)]
simIndex simValue blogId blogTitle
same-blog 1 0.95673144 823 high scalability-2010-05-05-How will memristors change everything?
Introduction: A non-random sample of my tech friends shows that not many have heard of memristors (though I do suspect vote tampering). I'd read a little about memristors in 2008 when the initial hubbub about the existence of memristors was raised. I, however, immediately filed them into that comforting conceptual bucket of potentially revolutionary technologies I didn't have to worry about because like most wondertech, nothing would ever come of it. Wrong. After watching Finding the Missing Memristor by R. Stanley Williams I've had to change my mind. Memristors have gone from "maybe never" to holy cow this could happen soon and it could change everything. Let's assume for the sake of dreaming memristors do prove out. How will we design systems when we have access to a new material that is two orders of magnitude more efficient from a power perspective than traditional transistor technologies, contains multiple petabits (1 petabit = 128TB) of persistent storage, and can be reconfigured t
2 0.87856972 826 high scalability-2010-05-12-The Rise of the Virtual Cellular Machines
Introduction: My apologies if you were looking for a post about cell phones. This post is about high density nanodevices. It's a follow up to How will memristors change everything? for those wishing to pursue these revolutionary ideas in more depth. This is one of those areas where if you are in the space then there's a lot of available information and if you are on the outside then it doesn't even seem to exist. Fortunately, Ben Chandler from The SyNAPSE Project , was kind enough to point me to a great set of presentations given at the 12th IEEE CNNA - International Workshop on Cellular Nanoscale Networks and their Applications - Towards Megaprocessor Computing. WARNING: these papers contain extreme technical content. If you are like me and you aren't an electrical engineer, much of it may make a sort of surface sense, but the deep and twisty details will fly over head. For the more software minded there are a couple more accessible presentations: Intelligent Machines built with Memristiv
3 0.87388098 786 high scalability-2010-03-02-Using the Ambient Cloud as an Application Runtime
Introduction: This is an excerpt from my article Building Super Scalable Systems: Blade Runner Meets Autonomic Computing in the Ambient Cloud. The future looks many, big, complex, and adaptive: Many clouds. Many servers. Many operating systems. Many languages. Many storage services. Many database services. Many software services. Many adjunct human networks (like Mechanical Turk). Many fast interconnects. Many CDNs. Many cache memory pools. Many application profiles (simple request-response, live streaming, computationally complex, sensor driven, memory intensive, storage intensive, monolithic, decomposable, etc). Many legal jurisdictions. Don't want to perform a function on Patriot Act "protected" systems then move the function elsewhere. Many SLAs. Many data driven pricing policies that like airplane pricing algorithms will price "seats" to maximize profit using multi-variate time sensitive pricing models. Many competitive products. The need t
4 0.86016214 1572 high scalability-2014-01-03-Stuff The Internet Says On Scalability For January 3rd, 2014
Introduction: Hey, it's HighScalability time, can you handle the truth? Should software architectures include parasites ? They increase diversity and complexity in the food web. 10 Million : classic hockey stick growth pattern for GitHub repositories Quotable Quotes: Seymour Cray : A supercomputer is a device for turning compute-bound problems into IO-bound problems. Robert Sapolsky : And why is self-organization so beautiful to my atheistic self? Because if complex, adaptive systems don’t require a blue print, they don’t require a blue print maker. If they don’t require lightning bolts, they don’t require Someone hurtling lightning bolts. @swardley : Asked for a history of PaaS? From memory, public launch - Zimki ('06), BungeeLabs ('06), Heroku ('07), GAE ('08), CloudFoundry ('11) ... @neil_conway : If you're designing scalable systems, you should understand backpressure and build mechanisms to support it. Scott Aaronson ...the
Introduction: All in all this is still my favorite post and I still think it's an accurate vision of a future. Not everyone agrees, but I guess we'll see..."But it is not complicated. [There's] just a lot of it." \--Richard Feynmanon how the immense variety of the world arises from simple rules.Contents:Have We Reached the End of Scaling?Applications Become Black Boxes Using Markets to Scale and Control CostsLet's Welcome our Neo-Feudal OverlordsThe Economic Argument for the Ambient CloudWhat Will Kill the Cloud?The Amazing Collective Compute Power of the Ambient CloudUsing the Ambient Cloud as an Application RuntimeApplications as Virtual StatesConclusionWe have not yet begun to scale. The world is still fundamentally disconnected and for all our wisdom we are still in the earliest days of learning how to build truly large planet-scaling applications.Today 350 million users on Facebook is a lot of users and five million followers on Twitter is a lot of followers. This may seem like a lot now, but c
7 0.82961792 1600 high scalability-2014-02-21-Stuff The Internet Says On Scalability For February 21st, 2014
8 0.82301825 1177 high scalability-2012-01-19-Is it time to get rid of the Linux OS model in the cloud?
9 0.82284981 1091 high scalability-2011-08-02-How Will DIDO Wireless Networking Change Everything?
10 0.82166404 1460 high scalability-2013-05-17-Stuff The Internet Says On Scalability For May 17, 2013
11 0.81820941 1584 high scalability-2014-01-22-How would you build the next Internet? Loons, Drones, Copters, Satellites, or Something Else?
12 0.81770521 768 high scalability-2010-02-01-What Will Kill the Cloud?
13 0.8154636 1225 high scalability-2012-04-09-Why My Slime Mold is Better than Your Hadoop Cluster
14 0.80779493 761 high scalability-2010-01-17-Applications Become Black Boxes Using Markets to Scale and Control Costs
15 0.80208701 1545 high scalability-2013-11-08-Stuff The Internet Says On Scalability For November 8th, 2013
16 0.80159777 1451 high scalability-2013-05-03-Stuff The Internet Says On Scalability For May 3, 2013
17 0.79923767 778 high scalability-2010-02-15-The Amazing Collective Compute Power of the Ambient Cloud
18 0.79918206 953 high scalability-2010-12-03-GPU vs CPU Smackdown : The Rise of Throughput-Oriented Architectures
19 0.79831213 1581 high scalability-2014-01-17-Stuff The Internet Says On Scalability For January 17th, 2014
20 0.79383445 1607 high scalability-2014-03-07-Stuff The Internet Says On Scalability For March 7th, 2014
topicId topicWeight
[(1, 0.089), (2, 0.202), (5, 0.01), (10, 0.046), (30, 0.034), (40, 0.023), (43, 0.014), (47, 0.015), (49, 0.134), (56, 0.012), (61, 0.066), (77, 0.029), (79, 0.115), (85, 0.042), (94, 0.042)]
simIndex simValue blogId blogTitle
1 0.95185727 737 high scalability-2009-11-05-A Yes for a NoSQL Taxonomy
Introduction: NorthScale's Steven Yen in his highly entertaining NoSQL is a Horseless Carriage presentation has come up with a NoSQL taxonomy that thankfully focuses a little more on what NoSQL is, than what it isn't : key‐value‐cache memcached, repcached, coherence, infinispan, eXtreme scale, jboss cache, velocity, terracoqa key‐value‐store keyspace, flare, schema‐free, RAMCloud eventually‐consistent key‐value‐store dynamo, voldemort, Dynomite, SubRecord, Mo8onDb, Dovetaildb ordered‐key‐value‐store tokyo tyrant, lightcloud, NMDB, luxio, memcachedb, actord data‐structures server redis tuple‐store gigaspaces, coord, apache river object database ZopeDB, db4o, Shoal document store CouchDB, Mongo, Jackrabbit, XML Databases, ThruDB, CloudKit, Perservere, Riak Basho, Scalaris wide columnar store BigTable, Hbase, Cassandra, Hypertable, KAI, OpenNeptune, Qbase, KDI "Who will win?"
2 0.94470757 400 high scalability-2008-10-01-The Pattern Bible for Distributed Computing
Introduction: Software design patterns are an emerging tool for guiding and documenting system design. Patterns usually describe software abstractions used by advanced designers and programmers in their software. Patterns can provide guidance for designing highly scalable distributed systems. Let's see how! Patterns are in essence solutions to problems. Most of them are expressed in a format called Alexandrian form which draws on constructs used by Christopher Alexander. There are variants but most look like this: The pattern name The problem the pattern is trying to solve Context Solution Examples Design rationale: This tells where the pattern came from, why it works, and why experts use it Patterns rarely stand alone. Each pattern works on a context, and transforms the system in that context to produce a new system in a new context. New problems arise in the new system and context, and the next ‘‘layer’’ of patterns can be applied. A pattern language is a structured col
3 0.94179279 735 high scalability-2009-11-01-Squeeze more performance from Parallelism
Introduction: In many posts, such as: The Future of the Parallelism and its Challenges I mentioned that synchronization the access to the shared resource is the major challenge to write parallel code. The synchronization and coordination take long time from the overall execution time, which reduce the benefits of the parallelism; the synchronization and coordination also reduce the scalability. There are many forms of synchronization and coordination, such as: Create Task object in frameworks such as: Microsoft TPL, Intel TDD, and Parallel Runtime Library. Create and enqueue task objects require synchronization that it’s takes long time especially if we create it into recursive work such as: Quick Sort algorithm. Synchronization the access to shared data. But there are a few techniques to avoid these issues, such as: Shared-Nothing, Actor Model, and Hyper Object (A.K.A. Combinable Object). Simply if we reduce the shared data by re-architect our code this will gives us a huge benefits
same-blog 4 0.9324854 823 high scalability-2010-05-05-How will memristors change everything?
Introduction: A non-random sample of my tech friends shows that not many have heard of memristors (though I do suspect vote tampering). I'd read a little about memristors in 2008 when the initial hubbub about the existence of memristors was raised. I, however, immediately filed them into that comforting conceptual bucket of potentially revolutionary technologies I didn't have to worry about because like most wondertech, nothing would ever come of it. Wrong. After watching Finding the Missing Memristor by R. Stanley Williams I've had to change my mind. Memristors have gone from "maybe never" to holy cow this could happen soon and it could change everything. Let's assume for the sake of dreaming memristors do prove out. How will we design systems when we have access to a new material that is two orders of magnitude more efficient from a power perspective than traditional transistor technologies, contains multiple petabits (1 petabit = 128TB) of persistent storage, and can be reconfigured t
Introduction: Michael Stonebraker sure knows how to stir up a storm. Unlike for others, that doesn't make him a troll in my mind, he's way too accomplished in the field to be that, but he does have a bit of Barnum & Bailey in him, which serves to get the discussion flowing, and that's a good thing. A lot of previously hidden wisdom and passion unlocks, which we'll try to capture here. This disturbance in the force is over OldSQL vs NoSQL vs NewSQL . Warning, these are not crisp categories, there's leakage all over the place, watch your step: OldSQL (Oracle, MySQL, etc) refers to what some want to term as legacy relational database like MySQL, that don't scale out horizontally with aplomb. NoSQL (CouchDB, Redis, Cassandra, HBase, MongoDB, Riak, Neo4j, etc) refers to, well, a collection of technologies that aren't OldSQL, these often are designed to scale out horizontally, aren't on ACID, and use schemaless non-relational datamodels. NewSQL (Xeround, Clustrix, NimbusDB, GenieDB, Sc
6 0.92887801 183 high scalability-2007-12-12-Report from OpenSocial Meetup at Google
7 0.91618598 1051 high scalability-2011-06-01-Why is your network so slow? Your switch should tell you.
8 0.91165137 1359 high scalability-2012-11-15-Gone Fishin': Justin.Tv's Live Video Broadcasting Architecture
9 0.91089767 1311 high scalability-2012-08-24-Stuff The Internet Says On Scalability For August 24, 2012
10 0.90960175 796 high scalability-2010-03-16-Justin.tv's Live Video Broadcasting Architecture
11 0.90120631 119 high scalability-2007-10-10-WAN Accelerate Your Way to Lightening Fast Transfers Between Data Centers
12 0.89398289 843 high scalability-2010-06-16-WTF is Elastic Data Grid? (By Example)
13 0.8876102 1460 high scalability-2013-05-17-Stuff The Internet Says On Scalability For May 17, 2013
14 0.88388354 1112 high scalability-2011-09-07-What Google App Engine Price Changes Say About the Future of Web Architecture
15 0.88334626 1612 high scalability-2014-03-14-Stuff The Internet Says On Scalability For March 14th, 2014
16 0.88039106 1439 high scalability-2013-04-12-Stuff The Internet Says On Scalability For April 12, 2013
17 0.87964839 776 high scalability-2010-02-12-Hot Scalability Links for February 12, 2010
18 0.87945104 1602 high scalability-2014-02-26-The WhatsApp Architecture Facebook Bought For $19 Billion
19 0.87940723 1603 high scalability-2014-02-28-Stuff The Internet Says On Scalability For February 28th, 2014
20 0.8789252 1545 high scalability-2013-11-08-Stuff The Internet Says On Scalability For November 8th, 2013