high_scalability high_scalability-2009 high_scalability-2009-618 knowledge-graph by maker-knowledge-mining

618 high scalability-2009-06-05-Google Wave Architecture


meta infos for this blog

Source: html

Introduction: Update: Good Vibrations by Radovan Semančík. Lot's of interesting questions about how Wave works, scalability, security, RESTyness, and so on. Google Wave is a new communication and collaboration platform based on hosted XML documents (called waves) supporting concurrent modifications and low-latency updates. This platform enables people to communicate and work together in new, convenient and effective ways. We will offer these benefits to users of Google Wave and we also want to share them with everyone else by making waves an open platform that everybody can share. We welcome others to run wave servers and become wave providers, for themselves or as services for their users, and to "federate" waves, that is, to share waves with each other and with Google Wave. In this way users from different wave providers can communicate and collaborate using shared waves. We are introducing the Google Wave Federation Protocol for federating waves between wave providers on the Internet. H


Summary: the most important sentenses genereted by tfidf model

sentIndex sentText sentNum sentScore

1 Lot's of interesting questions about how Wave works, scalability, security, RESTyness, and so on. [sent-2, score-0.04]

2 Google Wave is a new communication and collaboration platform based on hosted XML documents (called waves) supporting concurrent modifications and low-latency updates. [sent-3, score-0.48]

3 This platform enables people to communicate and work together in new, convenient and effective ways. [sent-4, score-0.406]

4 We will offer these benefits to users of Google Wave and we also want to share them with everyone else by making waves an open platform that everybody can share. [sent-5, score-0.914]

5 We welcome others to run wave servers and become wave providers, for themselves or as services for their users, and to "federate" waves, that is, to share waves with each other and with Google Wave. [sent-6, score-2.106]

6 In this way users from different wave providers can communicate and collaborate using shared waves. [sent-7, score-1.184]

7 We are introducing the Google Wave Federation Protocol for federating waves between wave providers on the Internet. [sent-8, score-1.491]


similar blogs computed by tfidf model

tfidf for this blog:

wordName wordTfidf (topN-words)

[('wave', 0.726), ('waves', 0.431), ('federation', 0.254), ('providers', 0.162), ('google', 0.12), ('communicate', 0.115), ('federate', 0.113), ('federating', 0.113), ('verifiable', 0.107), ('protocol', 0.095), ('platform', 0.092), ('complement', 0.09), ('collaborate', 0.088), ('modifications', 0.081), ('share', 0.078), ('collaboration', 0.075), ('welcome', 0.074), ('convenient', 0.072), ('everybody', 0.071), ('white', 0.06), ('xml', 0.059), ('introducing', 0.059), ('users', 0.058), ('papers', 0.057), ('documents', 0.053), ('initial', 0.052), ('enables', 0.049), ('effective', 0.048), ('operational', 0.047), ('supporting', 0.047), ('benefits', 0.046), ('apis', 0.045), ('concurrent', 0.044), ('communication', 0.044), ('hosted', 0.044), ('else', 0.04), ('questions', 0.04), ('others', 0.04), ('security', 0.039), ('offer', 0.038), ('everyone', 0.036), ('called', 0.035), ('shared', 0.035), ('become', 0.031), ('together', 0.03), ('update', 0.03), ('works', 0.026), ('model', 0.025), ('available', 0.024), ('making', 0.024)]

similar blogs list:

simIndex simValue blogId blogTitle

same-blog 1 1.0 618 high scalability-2009-06-05-Google Wave Architecture

Introduction: Update: Good Vibrations by Radovan Semančík. Lot's of interesting questions about how Wave works, scalability, security, RESTyness, and so on. Google Wave is a new communication and collaboration platform based on hosted XML documents (called waves) supporting concurrent modifications and low-latency updates. This platform enables people to communicate and work together in new, convenient and effective ways. We will offer these benefits to users of Google Wave and we also want to share them with everyone else by making waves an open platform that everybody can share. We welcome others to run wave servers and become wave providers, for themselves or as services for their users, and to "federate" waves, that is, to share waves with each other and with Google Wave. In this way users from different wave providers can communicate and collaborate using shared waves. We are introducing the Google Wave Federation Protocol for federating waves between wave providers on the Internet. H

2 0.24276589 843 high scalability-2010-06-16-WTF is Elastic Data Grid? (By Example)

Introduction: Forrester released their new wave report:  T he Forrester Wave™: Elastic Caching Platforms, Q2 2010 where they listed GigaSpaces, IBM, Oracle, and Terracotta as leading vendors in the field. In this post I'd like to take some time to explain what some of these terms mean, and why they’re important to you. I’ll start with a definition of Elastic Data Grid (Elastic Caching), how it is different then other caching and NoSQL alternatives, and more importantly -- I'll illustrate how it works through some real code examples. You can read the full story here .

3 0.18559334 727 high scalability-2009-10-25-Is Your Data Really Secured?

Introduction: Caching/data-grids are going through a similar evolution to databases. As with databases, we started by using caching as an embedded service to the application. Now we are in the phase where we need to be able to share the data between multiple applications, or in cases where we don’t want to share the data, we need to be able to share the resources for managing the data, while keeping a high degree of isolation. The demand for these sort of requirements becomes much more common with SOA or SaaS-based applications. As we approach the next generation of middleware and data-centers, it becomes clear that we cannot move to the next wave of virtualization and cloud computing without a strong security and isolation solution that is built-in to all layers of our application and middleware.

4 0.13332869 1057 high scalability-2011-06-10-Stuff The Internet Says On Scalability For June 10, 2011

Introduction: Submitted for your scaling pleasure:  Achievements: Every day, Amazon Web Services adds enough new capacity to support all of Amazon.com’s global infrastructure through the company’s first 5 years, when it was $2.7 billion annual revenue. From  Cloud Computing Is Driving    Infrastructure Innovation  by James Hamilton. Where's is all that money be spent? Facilities, servers, power, and popcorn. Evernote hits 10 million users . StackExchange hits  1 million users . No lawsuits expected in either case.  Neural waves of brain . The brain's waves drive computation, sort of, in a 5 million core, 9 Hz computer. Scaling, Scaling, Scaled: textPlus Turns Two, Hits 10 Billion Messages Sent Milestone Quotes of a quotable essence: robinduckett : FACT: You are not a web developer if you need third party services which handle scalability so you can "focus on the programming". Twitter’s Bain : Facebook May Have More Scale, We Have More Engagement she

5 0.12387796 89 high scalability-2007-09-10-Is there a difference between partitioning and federation and sharding?

Introduction: Unlike Theo Schlossnagle, author of Scalable Internet Architectures , I am not a stickler for semantics because I have an unswerving faith in the ultimate unknowability of the world as experienced by others. That's why it is Theo who bravely tackles the differences in his informative blog post Partitioning vs. Federation vs. Sharding . Royans Tharakan also talks about it on his blog . Is there a difference and does it really matter to all our intrepid scalable website builders? Generally whatever Theo says is probably close to the truth. Yet, in my mind I think of partitioning as a basic level category and federation and sharding as more specific (subordinate) instances of partitioning. And partitioning is a more specific instance of the more more general (superordinate) category divide-and-conquer. Which isn't a useful way to think about the topic at all. So, let's say federation is like Star Trek. The Vulcans, Klingons, and Humans live in very separate p

6 0.12088155 88 high scalability-2007-09-10-Blog: Scalable Web Architectures by Royans Tharakan

7 0.081743799 944 high scalability-2010-11-17-Some Services are More Equal than Others

8 0.081736103 1415 high scalability-2013-03-04-7 Life Saving Scalability Defenses Against Load Monster Attacks

9 0.080630459 826 high scalability-2010-05-12-The Rise of the Virtual Cellular Machines

10 0.073049426 1444 high scalability-2013-04-23-Facebook Secrets of Web Performance

11 0.06597434 87 high scalability-2007-09-10-Blog: Esoteric Curio by Theo Schlossnagle

12 0.06486237 873 high scalability-2010-08-06-Hot Scalability Links for Aug 6, 2010

13 0.064763948 479 high scalability-2008-12-29-Platform virtualization - top 25 providers (software, hardware, combined)

14 0.062811017 1418 high scalability-2013-03-06-Low Level Scalability Solutions - The Aggregation Collection

15 0.060176041 616 high scalability-2009-06-02-GigaSpaces Launches a New Version of its Cloud Computing Framework

16 0.059193939 242 high scalability-2008-02-07-Looking for good business examples of compaines using Hadoop

17 0.058248371 1231 high scalability-2012-04-20-Stuff The Internet Says On Scalability For April 20, 2012

18 0.054953054 765 high scalability-2010-01-25-Let's Welcome our Neo-Feudal Overlords

19 0.054646485 856 high scalability-2010-07-12-Creating Scalable Digital Libraries

20 0.054646268 935 high scalability-2010-11-05-Hot Scalability Links For November 5th, 2010


similar blogs computed by lsi model

lsi for this blog:

topicId topicWeight

[(0, 0.062), (1, 0.035), (2, 0.023), (3, 0.033), (4, -0.002), (5, -0.018), (6, -0.019), (7, -0.004), (8, 0.001), (9, 0.03), (10, -0.01), (11, 0.008), (12, -0.008), (13, -0.003), (14, 0.009), (15, -0.016), (16, -0.027), (17, -0.029), (18, 0.052), (19, -0.02), (20, 0.004), (21, 0.005), (22, 0.014), (23, -0.01), (24, 0.016), (25, 0.047), (26, 0.011), (27, 0.012), (28, -0.029), (29, 0.02), (30, -0.01), (31, -0.002), (32, 0.022), (33, -0.028), (34, 0.025), (35, -0.008), (36, -0.001), (37, -0.056), (38, 0.028), (39, 0.053), (40, 0.015), (41, -0.01), (42, 0.058), (43, -0.024), (44, -0.025), (45, 0.008), (46, 0.002), (47, 0.005), (48, -0.049), (49, 0.025)]

similar blogs list:

simIndex simValue blogId blogTitle

same-blog 1 0.93806285 618 high scalability-2009-06-05-Google Wave Architecture

Introduction: Update: Good Vibrations by Radovan Semančík. Lot's of interesting questions about how Wave works, scalability, security, RESTyness, and so on. Google Wave is a new communication and collaboration platform based on hosted XML documents (called waves) supporting concurrent modifications and low-latency updates. This platform enables people to communicate and work together in new, convenient and effective ways. We will offer these benefits to users of Google Wave and we also want to share them with everyone else by making waves an open platform that everybody can share. We welcome others to run wave servers and become wave providers, for themselves or as services for their users, and to "federate" waves, that is, to share waves with each other and with Google Wave. In this way users from different wave providers can communicate and collaborate using shared waves. We are introducing the Google Wave Federation Protocol for federating waves between wave providers on the Internet. H

2 0.6933865 1078 high scalability-2011-07-12-Google+ is Built Using Tools You Can Use Too: Closure, Java Servlets, JavaScript, BigTable, Colossus, Quick Turnaround

Introduction: Joseph Smarr, former CTO of Plaxo (which explains why I recognized his picture), in  I'm a technical lead on the Google+ team. Ask me anything , reveals the stack used for building Google+: Our stack is pretty standard fare for Google apps these days: we use Java servlets for our server code and JavaScript for the browser-side of the UI, largely built with the (open-source) Closure framework, including Closure's JavaScript compiler and template system. A couple nifty tricks we do: we use the HTML5 History API to maintain pretty-looking URLs even though it's an AJAX app (falling back on hash-fragments for older browsers); and we often render our Closure templates server-side so the page renders before any JavaScript is loaded, then the JavaScript finds the right DOM nodes and hooks up event handlers, etc. to make it responsive (as a result, if you're on a slow connection and you click on stuff really fast, you may notice a lag before it does anything, but luckily most people don't run

3 0.67489547 640 high scalability-2009-06-28-Google Voice Architecture

Introduction: Hi High Scalability community! Do you have any information on the architecture behind Google Voice , the new service by Google that offers one Google Number for all your calls and SMS? It is based on GrandCentral who has been acquired by Google 2 years ago. Thanks!

4 0.65969008 1627 high scalability-2014-04-07-Google Finds: Centralized Control, Distributed Data Architectures Work Better than Fully Decentralized Architectures

Introduction: For years a war has been fought in the software architecture trenches between the ideal of decentralized services and the power and practicality of centralized services. Centralized architectures, at least at the management and control plane level, are winning. And Google not only agrees, they are enthusiastic adopters of this model, even in places you don't think it should work. Here's an excerpt from  Google Lifts Veil On “Andromeda” Virtual Networking , an excellent article by Timothy Morgan, that includes a money quote from Amin Vahdat , distinguished engineer and technical lead for networking at Google: Like many of the massive services that Google has created, the Andromeda network has centralized control. By the way, so did the Google File System and the MapReduce scheduler that gave rise to Hadoop when it was mimicked, so did the BigTable NoSQL data store that has spawned a number of quasi-clones, and even the B4 WAN and the Spanner distributed file system that have yet

5 0.64970511 242 high scalability-2008-02-07-Looking for good business examples of compaines using Hadoop

Introduction: I have read the blog about Mailtrust/Rackspace as well the interesting things with Google and Yahoo. Who else is using Hadoop/MapReduce to solve business problems. TIA johnmwillis.com

6 0.64271581 1535 high scalability-2013-10-21-Google's Sanjay Ghemawat on What Made Google Google and Great Big Data Career Advice

7 0.62759125 1143 high scalability-2011-11-16-Google+ Infrastructure Update - the JavaScript Story

8 0.61343354 1328 high scalability-2012-09-24-Google Spanner's Most Surprising Revelation: NoSQL is Out and NewSQL is In

9 0.59919071 75 high scalability-2007-08-28-Google Utilities : An online google guide,tools and Utilities.

10 0.59063619 299 high scalability-2008-04-07-Rumors of Signs and Portents Concerning Freeish Google Cloud

11 0.58459431 1107 high scalability-2011-08-29-The Three Ages of Google - Batch, Warehouse, Instant

12 0.58342278 301 high scalability-2008-04-08-Google AppEngine - A First Look

13 0.57871068 439 high scalability-2008-11-10-Scalability Perspectives #1: Nicholas Carr – The Big Switch

14 0.56553245 409 high scalability-2008-10-13-Challenges from large scale computing at Google

15 0.56416553 765 high scalability-2010-01-25-Let's Welcome our Neo-Feudal Overlords

16 0.55774987 665 high scalability-2009-07-29-Strategy: Let Google and Yahoo Host Your Ajax Library - For Free

17 0.5549618 450 high scalability-2008-11-24-Scalability Perspectives #3: Marc Andreessen – Internet Platforms

18 0.5548296 110 high scalability-2007-10-03-Why most large-scale Web sites are not written in Java

19 0.55056417 1540 high scalability-2013-10-30-Strategy: Use Your Quantum Computer Lab to Tell Intentional Blinks from Involuntary Blinks

20 0.53075624 394 high scalability-2008-09-25-HighScalability.com Rated 16th Best Blog for Development Managers


similar blogs computed by lda model

lda for this blog:

topicId topicWeight

[(1, 0.036), (2, 0.126), (60, 0.411), (61, 0.076), (79, 0.124), (85, 0.051)]

similar blogs list:

simIndex simValue blogId blogTitle

1 0.89708126 49 high scalability-2007-07-30-allowed contributed

Introduction: buy cleocin

same-blog 2 0.89198267 618 high scalability-2009-06-05-Google Wave Architecture

Introduction: Update: Good Vibrations by Radovan Semančík. Lot's of interesting questions about how Wave works, scalability, security, RESTyness, and so on. Google Wave is a new communication and collaboration platform based on hosted XML documents (called waves) supporting concurrent modifications and low-latency updates. This platform enables people to communicate and work together in new, convenient and effective ways. We will offer these benefits to users of Google Wave and we also want to share them with everyone else by making waves an open platform that everybody can share. We welcome others to run wave servers and become wave providers, for themselves or as services for their users, and to "federate" waves, that is, to share waves with each other and with Google Wave. In this way users from different wave providers can communicate and collaborate using shared waves. We are introducing the Google Wave Federation Protocol for federating waves between wave providers on the Internet. H

3 0.72051167 1260 high scalability-2012-06-07-Case Study on Scaling PaaS infrastructure

Introduction: In his blog post, Scaling WSO2 Stratos , Srinath Perera explains the scaling architecture of the WSO2 Stratos Platform as a Service (PaaS) infrastructure. It is explained as a series of solutions where every solution adds a new concept to solve a specific problem found in the earlier solution. Overall, WSO2 Stratos uses a combination of intelligent Load balancing and lazy loading to scale up the architecture. More details about Stratos can be found from the paper  WSO2 Stratos: An Industrial Stack to Support Cloud Computing .    Problem Stratos is  multi-tenanted . In other words, there are many tenants. Each tenant generally represents an organization and isolated from other tenants, where each tenant has his own users, resources, and permissions. Stratos supports multiple PaaS services. Each PaaS service is actually a WSO2 Products (e.g. AS, BPS, ESB etc.) offered as a service. Using those services, tenants may deploy their own Web Services, Mediation logic, Workflows, a

4 0.70612735 698 high scalability-2009-09-10-Building Scalable Databases: Denormalization, the NoSQL Movement and Digg

Introduction: Database normalization is a technique for designing relational database schemas that ensures that the data is optimal for ad-hoc querying and that modifications such as deletion or insertion of data does not lead to data inconsistency. Database denormalization is the process of optimizing your database for reads by creating redundant data. A consequence of denormalization is that insertions or deletions could cause data inconsistency if not uniformly applied to all redundant copies of the data within the database. Read more on Carnage4life blog...

5 0.62765491 249 high scalability-2008-02-16-S3 Failed Because of Authentication Overload

Introduction: Being an authentic human being is difficult and apparently authenticating all those S3 requests can be a bit overwhelming as well. Amazon fingered a lot of processor heavy authentication requests as the reason for their downtime: Early this morning, at 3:30am PST, we started seeing elevated levels of authenticated requests from multiple users in one of our locations. While we carefully monitor our overall request volumes and these remained within normal ranges, we had not been monitoring the proportion of authenticated requests. Importantly, these cryptographic requests consume more resources per call than other request types. Shortly before 4:00am PST, we began to see several other users significantly increase their volume of authenticated calls. The last of these pushed the authentication service over its maximum capacity before we could complete putting new capacity in place. In addition to processing authenticated requests, the authentication service also performs accou

6 0.61463827 655 high scalability-2009-07-12-SPHiveDB: A mixture of the Key-Value Store and the Relational Database.

7 0.54454541 1617 high scalability-2014-03-21-Stuff The Internet Says On Scalability For March 21st, 2014

8 0.54248935 1292 high scalability-2012-07-27-Stuff The Internet Says On Scalability For July 27, 2012

9 0.5383094 1630 high scalability-2014-04-11-Stuff The Internet Says On Scalability For April 11th, 2014

10 0.53001934 1572 high scalability-2014-01-03-Stuff The Internet Says On Scalability For January 3rd, 2014

11 0.52241027 299 high scalability-2008-04-07-Rumors of Signs and Portents Concerning Freeish Google Cloud

12 0.47215483 867 high scalability-2010-07-27-YeSQL: An Overview of the Various Query Semantics in the Post Only-SQL World

13 0.46947896 1129 high scalability-2011-09-30-Stuff The Internet Says On Scalability For September 30, 2011

14 0.46526673 789 high scalability-2010-03-05-Strategy: Planning for a Power Outage Google Style

15 0.43185595 912 high scalability-2010-10-01-Google Paper: Large-scale Incremental Processing Using Distributed Transactions and Notifications

16 0.42483908 1408 high scalability-2013-02-19-Puppet monitoring: how to monitor the success or failure of Puppet runs

17 0.42452171 283 high scalability-2008-03-18-Shared filesystem on EC2

18 0.42346984 1535 high scalability-2013-10-21-Google's Sanjay Ghemawat on What Made Google Google and Great Big Data Career Advice

19 0.42048055 1242 high scalability-2012-05-09-Cell Architectures

20 0.41956058 1048 high scalability-2011-05-27-Stuff The Internet Says On Scalability For May 27, 2011