high_scalability high_scalability-2010 high_scalability-2010-856 knowledge-graph by maker-knowledge-mining

856 high scalability-2010-07-12-Creating Scalable Digital Libraries


meta infos for this blog

Source: html

Introduction: Like many other media content providers, libraries and museums are increasingly moving their content onto the Web.  While the move itself is no easy process (with digitization, web development, and training costs), being able to successfully deliver content to a wide audience is an ongoing concern, particularly for large libraries. Much of the concern is financial, as most libraries do not have the internal budget or outside investors that for-profit businesses enjoy.  Even large university libraries will face serious budget constraints that even other university departments, such as science and technology would not face. Creating a scalable infrastructure and also distributing a large digital collection that can handle multiple requests, requires planning that many librarians have not even imagined.  They must stop thinking in terms of "one-item-per-customer" and start thinking in terms of numerous users accessing the same information simultaneously. Content Delivery Network


Summary: the most important sentenses genereted by tfidf model

sentIndex sentText sentNum sentScore

1 Like many other media content providers, libraries and museums are increasingly moving their content onto the Web. [sent-1, score-0.916]

2 While the move itself is no easy process (with digitization, web development, and training costs), being able to successfully deliver content to a wide audience is an ongoing concern, particularly for large libraries. [sent-2, score-0.439]

3 Much of the concern is financial, as most libraries do not have the internal budget or outside investors that for-profit businesses enjoy. [sent-3, score-0.359]

4 Even large university libraries will face serious budget constraints that even other university departments, such as science and technology would not face. [sent-4, score-0.62]

5 Creating a scalable infrastructure and also distributing a large digital collection that can handle multiple requests, requires planning that many librarians have not even imagined. [sent-5, score-0.507]

6 They must stop thinking in terms of "one-item-per-customer" and start thinking in terms of numerous users accessing the same information simultaneously. [sent-6, score-0.447]

7 on the web application server, CDNs host the static content on multiple redundant servers, spread across numerous geographic locations. [sent-9, score-0.535]

8 When a user accesses a particular collection piece, the CDN will locate the server closest to the user, with the fewest hops to get the the user, and deliver the content. [sent-10, score-0.52]

9 To reduce costs, libraries and museums can consider using pay-per-view CDN services, such as Amazon Web Services, to handle content delivery. [sent-13, score-0.743]

10 Metadata Server A large part of the data distributed through a digital library is metadata. [sent-14, score-0.467]

11 Whereas a website like Flickr may have optional tags, a digital library's metadata is usually larger and more in-depth. [sent-15, score-0.375]

12 As a site grows and visitors increase, managing multiple queries can create bottlenecks and even interruptions in service. [sent-21, score-0.389]

13 On many small library websites, the user enters a search query and the search engine scours the database to find the keywords, subjects, authors, and/or titles that match. [sent-22, score-0.744]

14 Peer-to-peer routing is more complex but can be effective when there are large numbers of users entering identical or similar queries. [sent-27, score-0.329]

15 In this model, the server will have redundant nodes that route multiple users, reducing the load on single nodes and making individual user response time shorter. [sent-28, score-0.688]

16 Caching With a multitude of static content and redundant queries, caching simply makes sense. [sent-29, score-0.495]

17 If 5,000 people per day are looking at the same picture of a Persian sculpture, caching the image and metadata will reduce response time. [sent-30, score-0.392]

18 Furthermore, if 3,000 of those 5,000 users all used the exact same search terms to find the data, the server should not have to perform that search again, rather it can access the cached search and automatically display the associated results. [sent-31, score-0.983]

19 You should try to compress as many bytes as possible, even if the files are tiny, but rather deliver as few packets as possible. [sent-40, score-0.437]

20 Whether you are a non-profit traditional library, an independent movie database, a photo sharing site, or a large content wiki, your digital library will need to be prepared for voluminous content distribution and a multitude of user requests. [sent-41, score-1.323]


similar blogs computed by tfidf model

tfidf for this blog:

wordName wordTfidf (topN-words)

[('content', 0.248), ('digital', 0.2), ('mediator', 0.188), ('search', 0.182), ('library', 0.175), ('metadata', 0.175), ('museums', 0.171), ('rather', 0.167), ('routing', 0.165), ('libraries', 0.161), ('user', 0.141), ('multitude', 0.139), ('terms', 0.13), ('nodes', 0.118), ('numerous', 0.115), ('redundant', 0.108), ('concern', 0.108), ('cdn', 0.1), ('deliver', 0.099), ('university', 0.097), ('searches', 0.095), ('queries', 0.094), ('large', 0.092), ('budget', 0.09), ('packets', 0.088), ('increasingly', 0.088), ('servera', 0.085), ('consider', 0.085), ('even', 0.083), ('fewest', 0.08), ('rdms', 0.08), ('voluminous', 0.08), ('reduce', 0.078), ('background', 0.078), ('encrypt', 0.077), ('interruptions', 0.077), ('departments', 0.074), ('summaries', 0.074), ('users', 0.072), ('site', 0.071), ('response', 0.071), ('keywords', 0.069), ('server', 0.068), ('image', 0.068), ('collection', 0.068), ('subjects', 0.068), ('browsing', 0.065), ('multiple', 0.064), ('locate', 0.064), ('enters', 0.064)]

similar blogs list:

simIndex simValue blogId blogTitle

same-blog 1 1.0000002 856 high scalability-2010-07-12-Creating Scalable Digital Libraries

Introduction: Like many other media content providers, libraries and museums are increasingly moving their content onto the Web.  While the move itself is no easy process (with digitization, web development, and training costs), being able to successfully deliver content to a wide audience is an ongoing concern, particularly for large libraries. Much of the concern is financial, as most libraries do not have the internal budget or outside investors that for-profit businesses enjoy.  Even large university libraries will face serious budget constraints that even other university departments, such as science and technology would not face. Creating a scalable infrastructure and also distributing a large digital collection that can handle multiple requests, requires planning that many librarians have not even imagined.  They must stop thinking in terms of "one-item-per-customer" and start thinking in terms of numerous users accessing the same information simultaneously. Content Delivery Network

2 0.21604794 382 high scalability-2008-09-09-Content Delivery Networks (CDN) – a comprehensive list of providers

Introduction: We build web applications…and there are plenty of them around. Now, if we hit the jackpot and our application becomes very popular, traffic goes up, and our servers are brought down by the hordes of people coming to our website. What do we do in that situation? Of course, I am not talking here about the kind of traffic Digg, Yahoo Buzz or other social media sites can bring to a website, which is temporary overnight traffic, or a website which uses cloud computing like Amazon EC2 service, MediaTemple Grid Service or Mosso Hosting Cloud service. I am talking about traffic that consistently increases over time as the service achieves success. Google.com, Yahoo.com, Myspace.com, Facebook.com, Plentyoffish.com, Linkedin.com, Youtube.com and others are examples of services which have constant high traffic. Knowing that users want speed from their applications, these services will always use a Content Delivery Network (CDN) to deliver that speed. What is a Content Delivery Ne

3 0.19310991 576 high scalability-2009-04-21-What CDN would you recommend?

Introduction: Update 10: The Value of CDNs by Mike Axelrod of Google. Google implements a distributed content cache from within large ISPs . This allows them to serve content from the edge of the network and save bandwidth on the ISPs backbone. Update 9: Just Jump: Start using Clouds and CDNs . Bob Buffone gives a really nice and practical tutorial of how to use CloudFront as your CDN. Update 8: Akamai’s Services Become Affordable for Anyone! Blazing Web Site Performance by Distribution Cloud . Distribution Cloud starts at $150 per month for access to the best content distribution network in the world and the leader of Content Distribution Networks. Update 7: Where Amazon’s Data Centers Are Located , Expanding the Cloud: Amazon CloudFront . Why Amazon's CDN Offering Is No Threat To Akamai, Limelight or CDN Pricing . Amazon has launched their CDN with "“low latency, high data transfer speeds, and no commitments.” The perfect relationship for many. The m

4 0.16495349 274 high scalability-2008-03-12-YouTube Architecture

Introduction: Update 2:   YouTube Reaches One Billion Views Per Day . That’s at least 11,574 views per second, 694,444 views per minute, and 41,666,667 views per hour. Update: YouTube: The Platform . YouTube adds a new rich set of APIs in order to become your video platform leader--all for free. Upload, edit, watch, search, and comment on video from your own site without visiting YouTube. Compose your site internally from APIs because you'll need to expose them later anyway. YouTube grew incredibly fast, to over 100 million video views per day, with only a handful of people responsible for scaling the site. How did they manage to deliver all that video to all those users? And how have they evolved since being acquired by Google? Information Sources Google Video Platform Apache Python Linux (SuSe) MySQL psyco, a dynamic python->C compiler lighttpd for video instead of Apache What's Inside? The Stats Supports the delivery of over 100 million vide

5 0.1555091 1102 high scalability-2011-08-22-Strategy: Run a Scalable, Available, and Cheap Static Site on S3 or GitHub

Introduction: One of the best projects I've ever worked on was creating a large scale web site publishing system that was almost entirely static. A large team of very talented creatives made the art work, writers penned the content, and designers generated templates. All assets were controlled in a database. Then all that was extracted, after applying many different filters, to a static site that was uploaded via ftp to dozens of web servers. It worked great. Reliable, fast, cheap, and simple. Updates were a bit of a pain as it required pushing a lot of files to a lot of servers, and that took time, but otherwise a solid system. Alas, this elegant system was replaced with a new fangled dynamic database based system. Content was pulled from a database using a dynamic language generated front-end. With a recent series of posts from Amazon's Werner Vogels, chronicling his experience of transforming his   All Things Distributed  blog into a static site using S3's ability to serve web pages, I get th

6 0.14961441 70 high scalability-2007-08-22-How many machines do you need to run your site?

7 0.1473666 1597 high scalability-2014-02-17-How the AOL.com Architecture Evolved to 99.999% Availability, 8 Million Visitors Per Day, and 200,000 Requests Per Second

8 0.14718999 1272 high scalability-2012-06-26-Sponsored Post: New Relic, Digital Ocean, NetDNA, Torbit, Reality Check Network, Gigaspaces, AiCache, Logic Monitor, AppDynamics, CloudSigma, ManageEnine, Site24x7

9 0.13991629 100 high scalability-2007-09-26-Use a CDN to Instantly Improve Your Website's Performance by 20% or More

10 0.13960026 1501 high scalability-2013-08-13-In Memoriam: Lavabit Architecture - Creating a Scalable Email Service

11 0.13841394 796 high scalability-2010-03-16-Justin.tv's Live Video Broadcasting Architecture

12 0.1378551 1359 high scalability-2012-11-15-Gone Fishin': Justin.Tv's Live Video Broadcasting Architecture

13 0.13634302 1293 high scalability-2012-07-30-Prismatic Architecture - Using Machine Learning on Social Networks to Figure Out What You Should Read on the Web

14 0.13588598 1257 high scalability-2012-06-05-Sponsored Post: Digital Ocean, NetDNA, Torbit, Velocity, Reality Check Network, Gigaspaces, AiCache, Logic Monitor, Attribution Modeling, AppDynamics, CloudSigma, ManageEnine, Site24x7

15 0.13482724 1401 high scalability-2013-02-06-Super Bowl Advertisers Ready for the Traffic? Nope..It's Lights Out.

16 0.13373153 152 high scalability-2007-11-13-Flickr Architecture

17 0.13226055 821 high scalability-2010-05-03-MocoSpace Architecture - 3 Billion Mobile Page Views a Month

18 0.13058004 269 high scalability-2008-03-08-Audiogalaxy.com Architecture

19 0.12737282 136 high scalability-2007-10-28-Scaling Early Stage Startups

20 0.12705931 1341 high scalability-2012-10-16-Sponsored Post: Server Stack, Akiban, Wiredrive, NY Times, CouchConf, FiftyThree, Percona, ElasticHosts, ScaleOut, New Relic, NetDNA, GigaSpaces, AiCache, Logic Monitor, AppDynamics, CloudSigma


similar blogs computed by lsi model

lsi for this blog:

topicId topicWeight

[(0, 0.251), (1, 0.097), (2, -0.029), (3, -0.147), (4, -0.055), (5, -0.055), (6, -0.012), (7, -0.01), (8, -0.006), (9, 0.094), (10, 0.026), (11, -0.043), (12, -0.11), (13, -0.069), (14, 0.076), (15, 0.05), (16, -0.027), (17, 0.024), (18, 0.03), (19, -0.1), (20, -0.043), (21, -0.018), (22, 0.027), (23, 0.038), (24, -0.022), (25, 0.009), (26, -0.071), (27, -0.014), (28, 0.051), (29, 0.08), (30, -0.017), (31, 0.07), (32, 0.022), (33, 0.006), (34, 0.035), (35, -0.021), (36, 0.051), (37, -0.011), (38, -0.068), (39, -0.05), (40, 0.072), (41, -0.029), (42, -0.045), (43, 0.044), (44, -0.089), (45, 0.026), (46, -0.017), (47, -0.038), (48, 0.003), (49, -0.011)]

similar blogs list:

simIndex simValue blogId blogTitle

same-blog 1 0.97854918 856 high scalability-2010-07-12-Creating Scalable Digital Libraries

Introduction: Like many other media content providers, libraries and museums are increasingly moving their content onto the Web.  While the move itself is no easy process (with digitization, web development, and training costs), being able to successfully deliver content to a wide audience is an ongoing concern, particularly for large libraries. Much of the concern is financial, as most libraries do not have the internal budget or outside investors that for-profit businesses enjoy.  Even large university libraries will face serious budget constraints that even other university departments, such as science and technology would not face. Creating a scalable infrastructure and also distributing a large digital collection that can handle multiple requests, requires planning that many librarians have not even imagined.  They must stop thinking in terms of "one-item-per-customer" and start thinking in terms of numerous users accessing the same information simultaneously. Content Delivery Network

2 0.76801312 100 high scalability-2007-09-26-Use a CDN to Instantly Improve Your Website's Performance by 20% or More

Introduction: If you have a lot of static content to store and you aren't looking forward to setting up and maintaining your own giganto SAN, maybe you can push off a lot of the hard lifting to a CDN? Jesse Robbins at O'Reilly Radar posts that you have a lot more options now because the number of Content Distribution Networks have doubled since last year . In fact, Dan Rayburn says there are now 28 CDN providers in the market. Hopefully you can find reasonable pricing at one of them. Other than easing your burden, why might a CDN work for you? Because it makes your site faster and customers like that. How can a CDN so dramatically improve your site's performance? Steve Saunders, author of High Performance Web Sites: Essential Knowledge for Front-End Engineers , has using a CDN has one of his "Thirteen Simple Rules for Speeding Up Your Web Site." About CDNs Steve says: Remember that 80-90% of the end-user response time is spent downloading all the components in

3 0.7625066 800 high scalability-2010-03-26-Strategy: Caching 404s Saved the Onion 66% on Server Time

Introduction: In the article The Onion Uses Django, And Why It Matters To Us , a lot of interesting points are made about their ambitious infrastructure move from Drupal/PHP to Django/Python: the move wasn't that hard, it just took time and work because of their previous experience moving the A.V. Club website; churn in core framework APIs make it more attractive to move than stay; supporting the structure of older versions of the site is an unsolved problem; the built-in Django admin saved a lot of work; group development is easier with "fewer specialized or hacked together pieces"; they use IRC for distributed development; sphinx for full-text search; nginx is the media server and reverse proxy; haproxy made the launch process a 5 second procedure; capistrano for deployment; clean component separation makes moving easier; Git for version control; ORM with complicated querysets is a performance problem; memcached for caching rendered pages; the CDN checks for updates every 10 minutes; videos, ar

4 0.74846381 135 high scalability-2007-10-27-.Net2 and AJAX scalability?

Introduction: Am I mad to cons i der using .Net2 and AJAX for a high-scalabi l ity app l ication? In case you wonder why, it's the legacy of a webs i te bui l t on IIS and .Net 1.1, and we're look i ng for ways to make the content more attractive and interact i ve. In this case, it's a medical image l i brary being shared by a few Wikis and on l ine coursework for medica l students ( < 15K users) and doctors ( < 150K users) But I'm worr i ed about the performance overhead. We a l ready have a performance prob l em because of personal i sing the content for users according to their type (student or doctor), and for doctors, their grade and special i ty.

5 0.74250317 1401 high scalability-2013-02-06-Super Bowl Advertisers Ready for the Traffic? Nope..It's Lights Out.

Introduction: Advertising for the Super Bowl is bigger than the game for many viewers. So you gotta figure advertisers are ready for the traffic bursts generated by their expensive ads? Not exactly... Yottaa reports an amazing 13 advertiser websites crashed during the Super Bowl. Coke was interactively au currant, asking viewers to vote for the ending of a commercial, but load times went to 62 seconds. SodaStream, Calvin Klein, Axe, Got Milk? The Walking Dead, many movie sites, and many car sites, all were flagged with delay of fame penalties. Lots of time, money, and creative energy is spent lovingly perfecting every detail of these commercials. It won't be a surprise to any programmer that this can't usually be said of the follow through on the backend. So what can you do? Yottaa has some good tips and Michael Hamrah has a wonderful post on dealing with the Super Bowl Burst Problem: Yottaa's tips: Reduce the number of assets and asset weight to create smaller, more lightweight page

6 0.73847395 204 high scalability-2008-01-08-Virus Scanning for Uploaded content

7 0.73540848 382 high scalability-2008-09-09-Content Delivery Networks (CDN) – a comprehensive list of providers

8 0.72601682 1650 high scalability-2014-05-19-A Short On How the Wayback Machine Stores More Pages than Stars in the Milky Way

9 0.72503752 1052 high scalability-2011-06-03-Stuff The Internet Says On Scalability For June 3, 2011

10 0.72421533 285 high scalability-2008-03-19-Serving JavaScript Fast

11 0.71873444 365 high scalability-2008-08-16-Strategy: Serve Pre-generated Static Files Instead Of Dynamic Pages

12 0.71782237 506 high scalability-2009-02-03-10 More Rules for Even Faster Websites

13 0.7144832 576 high scalability-2009-04-21-What CDN would you recommend?

14 0.70818013 176 high scalability-2007-12-07-Synchronizing databases in different geographic locations

15 0.69933391 1284 high scalability-2012-07-16-Cinchcast Architecture - Producing 1,500 Hours of Audio Every Day

16 0.69693094 1253 high scalability-2012-05-28-The Anatomy of Search Technology: Crawling using Combinators

17 0.6950357 270 high scalability-2008-03-08-DNS-Record TTL on worst case scenarios

18 0.69495553 1395 high scalability-2013-01-28-DuckDuckGo Architecture - 1 Million Deep Searches a Day and Growing

19 0.69466156 1102 high scalability-2011-08-22-Strategy: Run a Scalable, Available, and Cheap Static Site on S3 or GitHub

20 0.6928128 274 high scalability-2008-03-12-YouTube Architecture


similar blogs computed by lda model

lda for this blog:

topicId topicWeight

[(1, 0.124), (2, 0.2), (10, 0.035), (30, 0.041), (33, 0.01), (47, 0.019), (56, 0.019), (61, 0.184), (77, 0.018), (79, 0.091), (85, 0.039), (94, 0.06), (97, 0.073)]

similar blogs list:

simIndex simValue blogId blogTitle

same-blog 1 0.96704197 856 high scalability-2010-07-12-Creating Scalable Digital Libraries

Introduction: Like many other media content providers, libraries and museums are increasingly moving their content onto the Web.  While the move itself is no easy process (with digitization, web development, and training costs), being able to successfully deliver content to a wide audience is an ongoing concern, particularly for large libraries. Much of the concern is financial, as most libraries do not have the internal budget or outside investors that for-profit businesses enjoy.  Even large university libraries will face serious budget constraints that even other university departments, such as science and technology would not face. Creating a scalable infrastructure and also distributing a large digital collection that can handle multiple requests, requires planning that many librarians have not even imagined.  They must stop thinking in terms of "one-item-per-customer" and start thinking in terms of numerous users accessing the same information simultaneously. Content Delivery Network

2 0.96021044 1089 high scalability-2011-07-29-Stuff The Internet Says On Scalability For July 29, 2011

Introduction: Submitted for your end of July scaling pleasure:  YouTube : 3 billion videos viewed a day; 48 hours of footage uploaded every minute. 64 core Tilera chip . Google wants to be your CDN. They figure the only way to make the web faster...is to host it.  Page Speed Service - Web Performance, Delivered . An eventually for pay service that caches your website and distributes it around the world. No cost information. Your speed may vary. See the longish list of  limitations . Nobody said anything interesting on scalability this week! A disaster of non-quotable proportions. If I missed something, now is your chance.  Moving an Elephant: Large Scale Hadoop Data Migration at Facebook . Paul Yang describes the greatest westward expansion since the land bridge across the Bering Strait. It's a story of moving a 30PB Hadoop cluster from an over populated datacenter to the wide open spaces of a new continent. Unlike the early settlers, Facebook did not move the boxes over, that would dis

3 0.95988864 1461 high scalability-2013-05-20-The Tumblr Architecture Yahoo Bought for a Cool Billion Dollars

Introduction: It's being reportedYahoo bought Tumblr for $1.1 billion. You may recallInstagram was profiled on HighScalabilityand they were also bought by Facebook for a ton of money. A coincidence? You be the judge.Just what is Yahoo buying? The business acumen of the deal is not something I can judge, but if you are doing due diligence on the technology then Tumblr would probably get a big thumbs up. To see why, please keep on reading...With over 15 billion page views a month Tumblr has become an insanely popular blogging platform. Users may like Tumblr for its simplicity, its beauty, its strong focus on user experience, or its friendly and engaged community, but like it they do.Growing at over 30% a month has not been without challenges. Some reliability problems among them. It helps to realize that Tumblr operates at surprisingly huge scales: 500 million page views a day, a peak rate of ~40k requests per second, ~3TB of new data to store a day, all running on 1000+ servers.One of the common patt

4 0.95959282 1191 high scalability-2012-02-13-Tumblr Architecture - 15 Billion Page Views a Month and Harder to Scale than Twitter

Introduction: With over 15 billion page views a month Tumblr has become an insanely popular blogging platform. Users may like Tumblr for its simplicity, its beauty, its strong focus on user experience, or its friendly and engaged community, but like it they do.Growing at over 30% a month has not been without challenges. Some reliability problems among them. It helps to realize that Tumblr operates at surprisingly huge scales: 500 million page views a day, a peak rate of ~40k requests per second, ~3TB of new data to store a day, all running on 1000+ servers.One of the common patterns across successful startups is the perilous chasm crossing from startup to wildly successful startup. Finding people, evolving infrastructures, servicing old infrastructures, while handling huge month over month increases in traffic, all with only four engineers, means you have to make difficult choices about what to work on. This was Tumblr's situation. Now with twenty engineers there's enough energy to work on issues an

5 0.95959282 1360 high scalability-2012-11-19-Gone Fishin': Tumblr Architecture - 15 Billion Page Views A Month And Harder To Scale Than Twitter

Introduction: With over 15 billion page views a month Tumblr has become an insanely popular blogging platform. Users may like Tumblr for its simplicity, its beauty, its strong focus on user experience, or its friendly and engaged community, but like it they do.Growing at over 30% a month has not been without challenges. Some reliability problems among them. It helps to realize that Tumblr operates at surprisingly huge scales: 500 million page views a day, a peak rate of ~40k requests per second, ~3TB of new data to store a day, all running on 1000+ servers.One of the common patterns across successful startups is the perilous chasm crossing from startup to wildly successful startup. Finding people, evolving infrastructures, servicing old infrastructures, while handling huge month over month increases in traffic, all with only four engineers, means you have to make difficult choices about what to work on. This was Tumblr's situation. Now with twenty engineers there's enough energy to work on issues an

6 0.95128101 150 high scalability-2007-11-12-Slashdot Architecture - How the Old Man of the Internet Learned to Scale

7 0.95097345 775 high scalability-2010-02-10-ElasticSearch - Open Source, Distributed, RESTful Search Engine

8 0.95057344 100 high scalability-2007-09-26-Use a CDN to Instantly Improve Your Website's Performance by 20% or More

9 0.94575298 931 high scalability-2010-10-28-Notes from A NOSQL Evening in Palo Alto

10 0.94563639 626 high scalability-2009-06-10-Paper: Graph Databases and the Future of Large-Scale Knowledge Management

11 0.94553661 1142 high scalability-2011-11-14-Using Gossip Protocols for Failure Detection, Monitoring, Messaging and Other Good Things

12 0.94540286 1031 high scalability-2011-04-28-PaaS on OpenStack - Run Applications on Any Cloud, Any Time Using Any Thing

13 0.94518119 1538 high scalability-2013-10-28-Design Decisions for Scaling Your High Traffic Feeds

14 0.94514191 1411 high scalability-2013-02-22-Stuff The Internet Says On Scalability For February 22, 2013

15 0.94179827 787 high scalability-2010-03-03-Hot Scalability Links for March 3, 2010

16 0.94036365 6 high scalability-2007-07-11-Friendster Architecture

17 0.93984562 1147 high scalability-2011-11-25-Stuff The Internet Says On Scalability For November 25, 2011

18 0.93976581 337 high scalability-2008-05-31-memcached and Storage of Friend list

19 0.93975341 383 high scalability-2008-09-10-Shard servers -- go big or small?

20 0.93608874 950 high scalability-2010-11-30-NoCAP – Part III – GigaSpaces clustering explained..