high_scalability high_scalability-2009 high_scalability-2009-750 knowledge-graph by maker-knowledge-mining
Source: html
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
sentIndex sentText sentNum sentScore
1 The basic argument that we'll be exploring in this article goes like this:As more of the world of people and things come on-line and become interconnected, the driving force for applications will be the need to acquire the expertise and resources necessary to planet-scale at an affordable cost. [sent-61, score-0.565]
2 To make the diverse and the continuously changing set of compute resources in the Ambient Cloud available to applications in real-time, compute resources will be traded in ways similar to how automated trading works in financial markets. [sent-69, score-0.715]
3 Creating planet-scaling applications is so resource intensive, and web applications provide such a low profit margin, that applications will be forced to be opportunistic and make use of resources from wherever they can be found. [sent-72, score-0.56]
4 By applications becoming black boxes that operate in a global Ambient Cloud composed of wildly different legal and political situations, applications begin to form a separate class of entity, with their own need for economic and political representation. [sent-73, score-0.566]
5 Some will reside in datacenters, but compute resources can be anywhere, not just in the datacenter, we'll actually see the bulk of compute resources live outside of datacenters in the future. [sent-166, score-0.569]
6 Once found the application will have to reorganize on the fly to use whatever new resources it has found and let go of whatever resources it doesn't have access to anymore. [sent-170, score-0.41]
7 If a new cheap storage cloud has come on line then the calculation will need to be made if it's worth redirecting new storage to that site. [sent-175, score-0.389]
8 In the past applications were designed to make use of fixed cost resources (racks, servers, SANs, switches, energy etc) that were incrementally increased in largish allotments acquired through an onerous management processes. [sent-190, score-0.365]
9 We are, however, starting to see multiple cloud options, we are starting to see multiple SaaS offerings for services like cloud storage, and we are still in just the very earliest stages of the Ambient Cloud. [sent-226, score-0.357]
10 A rich and varied supply of compute resources on which to base a market is still in the future, but it is under construction. [sent-227, score-0.348]
11 Each of us will have a surprisingly large pool of resources to put into the market: smart phones, smart houses, smart appliances, smart cars, smart prosthetics, PCs, laptops, energy, and so on. [sent-238, score-0.627]
12 Step up a level and companies will have smart buildings, smart fleets, smart networks, smart sensors, datacenters, and so on to contribute into the pool. [sent-239, score-0.396]
13 The muscular forces of globalization and the proliferation of things and people into dense social networks will only drive a few specialized applications into the arms of a few dominant platform vendors. [sent-467, score-0.356]
14 Let's compare the collective power of PCs + smartphones + smart grid + smart everything + BANs with the traditional cloud: it's trillions against many 10s of millions. [sent-644, score-0.391]
15 Plura is an excellent example of how these resources can be used as a compute grid, the next step is think of all these resources can be used as an application runtime. [sent-672, score-0.375]
16 The wide variety of different clouds and different compute resources will make it difficult to come up with a true standardization layer. [sent-761, score-0.356]
17 Gordon is asystem architecture for data-centric applications that combines low-power processors, flash memory, and datacentric programming systems to improve performance for data-centric applications while reducing power consumption. [sent-880, score-0.391]
18 The reason why I think a market is so critical to the Ambient Cloud is because I think it's the only way to make the dynamic pool of exponentially growing compute resources available to applications. [sent-1025, score-0.404]
19 Since the resources are dynamic there needs to be some sort of exchange set up to allow applications to know when new resources become available and search for existing resources. [sent-1027, score-0.513]
20 As crazy as this may sound, I think this is also the direction applications will need follow to survive in a complex world of billions of compute devices. [sent-1037, score-0.404]
wordName wordTfidf (topN-words)
[('ambient', 0.419), ('fawn', 0.246), ('cloud', 0.153), ('resources', 0.132), ('land', 0.125), ('applications', 0.124), ('compute', 0.111), ('market', 0.105), ('platform', 0.1), ('smart', 0.099), ('datacenters', 0.083), ('power', 0.082), ('black', 0.079), ('become', 0.077), ('world', 0.076), ('networks', 0.073), ('political', 0.072), ('google', 0.071), ('king', 0.07), ('attack', 0.069), ('virtual', 0.067), ('flash', 0.061), ('markets', 0.061), ('computing', 0.061), ('people', 0.059), ('cell', 0.059), ('clouds', 0.057), ('collective', 0.057), ('make', 0.056), ('computer', 0.056), ('sensor', 0.056), ('billion', 0.055), ('smartphones', 0.054), ('cost', 0.053), ('contract', 0.052), ('pcs', 0.052), ('even', 0.052), ('like', 0.051), ('whatever', 0.049), ('super', 0.049), ('economy', 0.049), ('trading', 0.049), ('form', 0.049), ('bandwidth', 0.049), ('new', 0.048), ('feudal', 0.048), ('may', 0.047), ('era', 0.047), ('storage', 0.047), ('need', 0.046)]
simIndex simValue blogId blogTitle
same-blog 1 0.99999279 750 high scalability-2009-12-16-Building Super Scalable Systems: Blade Runner Meets Autonomic Computing in the Ambient Cloud
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
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
3 0.74425822 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 0.59158874 761 high scalability-2010-01-17-Applications Become Black Boxes Using Markets to Scale and Control Costs
Introduction: This is an excerpt from my article Building Super Scalable Systems: Blade Runner Meets Autonomic Computing in the Ambient Cloud. We tend to think compute of resources as residing primarily in datacenters. Given the fast pace of innovation we will likely see compute resources become pervasive. Some will reside in datacenters, but compute resources can be anywhere, not just in the datacenter, we'll actually see the bulk of compute resources live outside of datacenters in the future. Given the diversity of compute resources it's reasonable to assume they won't be homogeneous or conform to a standard API. They will specialize by service. Programmers will have to use those specialized service interfaces to build applications that are adaptive enough to take advantage of whatever leverage they can find, whenever and wherever they can find it. Once found the application will have to reorganize on the fly to use whatever new resources it has found and let go of whatever resources it doe
5 0.5462411 768 high scalability-2010-02-01-What Will Kill the Cloud?
Introduction: This is an excerpt from my article Building Super Scalable Systems: Blade Runner Meets Autonomic Computing in the Ambient Cloud. If datacenters are the new castles, then what will be the new gunpowder? As soon as gunpowder came on the scene, castles, which are defensive structures, quickly became the future's cold, drafty hotels. Gunpowder fueled cannon balls make short work of castle walls. There's a long history of "gunpowder" type inventions in the tech industry. PCs took out the timeshare model. The cloud is taking out the PC model. There must be something that will take out the cloud. Right now it's hard to believe the cloud will one day be no more. They seem so much the future, but something will transcend the cloud. We even have a law that says so: Bell's Law of Computer Classes which holds that roughly every decade a new, lower priced computer class forms based on a new programming platform, network, and interface resulting in new usage and the establishment of
6 0.48479187 778 high scalability-2010-02-15-The Amazing Collective Compute Power of the Ambient Cloud
7 0.46138731 790 high scalability-2010-03-09-Applications as Virtual States
8 0.45060849 765 high scalability-2010-01-25-Let's Welcome our Neo-Feudal Overlords
9 0.33598372 758 high scalability-2010-01-11-Have We Reached the End of Scaling?
10 0.31002745 1240 high scalability-2012-05-07-Startups are Creating a New System of the World for IT
11 0.30468121 538 high scalability-2009-03-16-Are Cloud Based Memory Architectures the Next Big Thing?
12 0.22779565 823 high scalability-2010-05-05-How will memristors change everything?
13 0.22264126 853 high scalability-2010-07-08-Cloud AWS Infrastructure vs. Physical Infrastructure
14 0.21770325 1112 high scalability-2011-09-07-What Google App Engine Price Changes Say About the Future of Web Architecture
15 0.21676227 882 high scalability-2010-08-18-Misco: A MapReduce Framework for Mobile Systems - Start of the Ambient Cloud?
16 0.21524556 96 high scalability-2007-09-18-Amazon Architecture
17 0.21257062 954 high scalability-2010-12-06-What the heck are you actually using NoSQL for?
18 0.21249844 920 high scalability-2010-10-15-Troubles with Sharding - What can we learn from the Foursquare Incident?
19 0.21222639 517 high scalability-2009-02-21-Google AppEngine - A Second Look
20 0.20801978 1600 high scalability-2014-02-21-Stuff The Internet Says On Scalability For February 21st, 2014
topicId topicWeight
[(0, 0.499), (1, 0.186), (2, 0.156), (3, 0.235), (4, -0.156), (5, -0.174), (6, -0.026), (7, 0.079), (8, -0.064), (9, 0.027), (10, -0.025), (11, 0.055), (12, -0.027), (13, 0.206), (14, 0.194), (15, 0.017), (16, -0.213), (17, -0.047), (18, -0.016), (19, 0.118), (20, -0.19), (21, 0.135), (22, -0.061), (23, 0.016), (24, 0.118), (25, 0.03), (26, -0.034), (27, 0.02), (28, 0.022), (29, -0.184), (30, -0.164), (31, 0.019), (32, 0.011), (33, -0.072), (34, 0.011), (35, -0.143), (36, -0.113), (37, -0.027), (38, -0.118), (39, -0.052), (40, 0.083), (41, -0.021), (42, -0.005), (43, 0.033), (44, 0.083), (45, 0.025), (46, 0.03), (47, 0.047), (48, 0.009), (49, 0.076)]
simIndex simValue blogId blogTitle
same-blog 1 0.9474265 750 high scalability-2009-12-16-Building Super Scalable Systems: Blade Runner Meets Autonomic Computing in the Ambient Cloud
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
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
3 0.9210279 761 high scalability-2010-01-17-Applications Become Black Boxes Using Markets to Scale and Control Costs
Introduction: This is an excerpt from my article Building Super Scalable Systems: Blade Runner Meets Autonomic Computing in the Ambient Cloud. We tend to think compute of resources as residing primarily in datacenters. Given the fast pace of innovation we will likely see compute resources become pervasive. Some will reside in datacenters, but compute resources can be anywhere, not just in the datacenter, we'll actually see the bulk of compute resources live outside of datacenters in the future. Given the diversity of compute resources it's reasonable to assume they won't be homogeneous or conform to a standard API. They will specialize by service. Programmers will have to use those specialized service interfaces to build applications that are adaptive enough to take advantage of whatever leverage they can find, whenever and wherever they can find it. Once found the application will have to reorganize on the fly to use whatever new resources it has found and let go of whatever resources it doe
4 0.90861958 768 high scalability-2010-02-01-What Will Kill the Cloud?
Introduction: This is an excerpt from my article Building Super Scalable Systems: Blade Runner Meets Autonomic Computing in the Ambient Cloud. If datacenters are the new castles, then what will be the new gunpowder? As soon as gunpowder came on the scene, castles, which are defensive structures, quickly became the future's cold, drafty hotels. Gunpowder fueled cannon balls make short work of castle walls. There's a long history of "gunpowder" type inventions in the tech industry. PCs took out the timeshare model. The cloud is taking out the PC model. There must be something that will take out the cloud. Right now it's hard to believe the cloud will one day be no more. They seem so much the future, but something will transcend the cloud. We even have a law that says so: Bell's Law of Computer Classes which holds that roughly every decade a new, lower priced computer class forms based on a new programming platform, network, and interface resulting in new usage and the establishment of
5 0.90394229 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 0.89909935 790 high scalability-2010-03-09-Applications as Virtual States
7 0.88760012 778 high scalability-2010-02-15-The Amazing Collective Compute Power of the Ambient Cloud
8 0.84731388 765 high scalability-2010-01-25-Let's Welcome our Neo-Feudal Overlords
9 0.74700385 823 high scalability-2010-05-05-How will memristors change everything?
10 0.74578989 1584 high scalability-2014-01-22-How would you build the next Internet? Loons, Drones, Copters, Satellites, or Something Else?
11 0.73037744 1377 high scalability-2012-12-26-Ask HS: What will programming and architecture look like in 2020?
12 0.72467142 1091 high scalability-2011-08-02-How Will DIDO Wireless Networking Change Everything?
13 0.72315985 758 high scalability-2010-01-11-Have We Reached the End of Scaling?
14 0.70212108 826 high scalability-2010-05-12-The Rise of the Virtual Cellular Machines
15 0.69443297 1410 high scalability-2013-02-20-Smart Companies Fail Because they Do Everything Right - Staying Alive to Scale
16 0.67902559 1012 high scalability-2011-03-28-Aztec Empire Strategy: Use Dual Pipes in Your Aqueduct for High Availability
17 0.677432 1225 high scalability-2012-04-09-Why My Slime Mold is Better than Your Hadoop Cluster
18 0.66879439 753 high scalability-2009-12-21-Hot Holiday Scalability Links for 2009
topicId topicWeight
[(1, 0.113), (2, 0.154), (3, 0.011), (10, 0.041), (13, 0.014), (16, 0.012), (17, 0.02), (30, 0.023), (40, 0.045), (47, 0.015), (61, 0.075), (70, 0.049), (71, 0.019), (77, 0.023), (79, 0.187), (85, 0.04), (94, 0.044), (95, 0.014)]
simIndex simValue blogId blogTitle
1 0.9632802 1127 high scalability-2011-09-28-Pursue robust indefinite scalability with the Movable Feast Machine
Introduction: And now for something completely different, brought to you by David Ackley and Daniel Cannon in their playfully thought provoking paper: Pursue robust indefinite scalability , wherein they try to take a fresh look at neural networks, starting from scratch. What is this strange thing called indefinite scalability ? They sound like words that don't really go together: Indefinite scalability is the property that the design can support open-ended computational growth without substantial re-engineering, in as strict as sense as can be managed. By comparison, many computer, algorithm, and network designs -- even those that address scalability -- are only finitely scalable because their scalability occurs within some finite space. For example, an in-core sorting algorithm for a 32 bit machine can only scale to billions of numbers before address space is exhausted and then that algorithm must be re-engineered. Our idea is to expose indefinitely scalable computational power to program
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
same-blog 3 0.96046722 750 high scalability-2009-12-16-Building Super Scalable Systems: Blade Runner Meets Autonomic Computing in the Ambient Cloud
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 0.9554764 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
5 0.95240676 803 high scalability-2010-04-05-Intercloud: How Will We Scale Across Multiple Clouds?
Introduction: In A Brief History of the Internet it was revealed that the Internet was based on the idea that there would be multiple independent networks of rather arbitrary design. The Internet as we now know it embodies a key underlying technical idea, namely that of open architecture networking. In this approach, the choice of any individual network technology was not dictated by a particular network architecture but rather could be selected freely by a provider and made to interwork with the other networks through a meta-level "Internetworking Architecture". With the cloud we are in the same situation today, just a layer or two higher up the stack. We have independent clouds that we would like to connect and work seamlessly together, preferably with the ease at which we currently connect nodes to a network and networks to the Internet. This technology seems to be called the Intercloud : an interconnected global "cloud of clouds " as apposed to the Internet which is a "network
8 0.94888532 763 high scalability-2010-01-22-How BuddyPoke Scales on Facebook Using Google App Engine
9 0.94743401 1647 high scalability-2014-05-14-Google Says Cloud Prices Will Follow Moore’s Law: Are We All Renters Now?
10 0.94716918 1494 high scalability-2013-07-19-Stuff The Internet Says On Scalability For July 19, 2013
11 0.94681865 1630 high scalability-2014-04-11-Stuff The Internet Says On Scalability For April 11th, 2014
12 0.94532597 1420 high scalability-2013-03-08-Stuff The Internet Says On Scalability For March 8, 2013
13 0.94193161 667 high scalability-2009-07-31-NSFW: Hilarious Fault-Tolerance Cartoon
14 0.94116938 1048 high scalability-2011-05-27-Stuff The Internet Says On Scalability For May 27, 2011
15 0.93997157 1403 high scalability-2013-02-08-Stuff The Internet Says On Scalability For February 8, 2013
16 0.93964154 765 high scalability-2010-01-25-Let's Welcome our Neo-Feudal Overlords
17 0.93955177 1170 high scalability-2012-01-06-Stuff The Internet Says On Scalability For January 6, 2012
18 0.93911672 288 high scalability-2008-03-25-Paper: On Designing and Deploying Internet-Scale Services
19 0.93874353 289 high scalability-2008-03-27-Amazon Announces Static IP Addresses and Multiple Datacenter Operation
20 0.93844652 1316 high scalability-2012-09-04-Changing Architectures: New Datacenter Networks Will Set Your Code and Data Free