high_scalability high_scalability-2009 high_scalability-2009-709 knowledge-graph by maker-knowledge-mining

709 high scalability-2009-09-19-Space Based Programming in .NET


meta infos for this blog

Source: html

Introduction: Space-based architectures are an alternative to the traditional n-tier model for enterprise applications. Instead of a vertical tier partitioning, space based applications are partitioned horizontally into self-sufficient units. This leads to almost linear scalability of stateful, high-performance applications. This is a recording of a talk I did last month where I introduce space based programming and demonstrate how that works in practice on the .NET platform using Oracle Coherence and GigaSpaces.


Summary: the most important sentenses genereted by tfidf model

sentIndex sentText sentNum sentScore

1 Space-based architectures are an alternative to the traditional n-tier model for enterprise applications. [sent-1, score-0.734]

2 Instead of a vertical tier partitioning, space based applications are partitioned horizontally into self-sufficient units. [sent-2, score-1.353]

3 This leads to almost linear scalability of stateful, high-performance applications. [sent-3, score-0.643]

4 This is a recording of a talk I did last month where I introduce space based programming and demonstrate how that works in practice on the . [sent-4, score-1.548]


similar blogs computed by tfidf model

tfidf for this blog:

wordName wordTfidf (topN-words)

[('stateful', 0.281), ('space', 0.269), ('coherence', 0.262), ('demonstrate', 0.254), ('vertical', 0.239), ('gigaspaces', 0.23), ('horizontally', 0.222), ('linear', 0.218), ('introduce', 0.216), ('leads', 0.21), ('partitioned', 0.206), ('tier', 0.195), ('alternative', 0.191), ('practice', 0.184), ('partitioning', 0.178), ('traditional', 0.153), ('architectures', 0.151), ('based', 0.148), ('oracle', 0.146), ('almost', 0.145), ('last', 0.141), ('enterprise', 0.139), ('platform', 0.12), ('programming', 0.118), ('talk', 0.116), ('instead', 0.108), ('works', 0.102), ('model', 0.1), ('applications', 0.074), ('scalability', 0.07), ('using', 0.042)]

similar blogs list:

simIndex simValue blogId blogTitle

same-blog 1 1.0 709 high scalability-2009-09-19-Space Based Programming in .NET

Introduction: Space-based architectures are an alternative to the traditional n-tier model for enterprise applications. Instead of a vertical tier partitioning, space based applications are partitioned horizontally into self-sufficient units. This leads to almost linear scalability of stateful, high-performance applications. This is a recording of a talk I did last month where I introduce space based programming and demonstrate how that works in practice on the .NET platform using Oracle Coherence and GigaSpaces.

2 0.19757709 416 high scalability-2008-10-15-Oracle opens Coherence Incubator

Introduction: During the Coherence Special Interest Group meeting in London, Brian Oliver from Oracle yesterday announced the start of the Coherence Incubator project. Coherence Incubator is a new online repository of projects that provides reference implementation examples for commonly used design patterns and integration solutions based on Oracle Coherence.

3 0.17307232 613 high scalability-2009-06-01-Data grid comparison: Oracle Coherence vs Gigaspaces XAP

Introduction: A short summary of differences between Oracle Coherence and GigaSpaces XAP.

4 0.11578013 432 high scalability-2008-10-27-Three steps for turning a tier-based-Spring-application into dynamically scalable services (video)

Introduction: Summary In this presentation, a three steps approach for turning your existing stateful tier-based/Spring-application into a dynamically scalable services application using OpenSpaces is demonstrated. The existing programming model is kept the same while focusing on abstracting and replacing the underlying implementations of the middleware stack in a way that will fit the scale-out model. Bio Nati Shalom is the CTO and Founder of GigaSpaces and responsible for the technology roadmap. He has 10 years of experience with distributed technology and architecture namely CORBA, Jini, J2EE, Grid and SOA. Nati is the Head of the Israeli Grid consortium and an evangelist of Space Based Architecture and Data Grid patterns. Blog: Gigaspaces Blog Read the rest of the article here on InfoQ .

5 0.10682245 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

6 0.10334335 392 high scalability-2008-09-24-Building a Scalable Architecture for Web Apps

7 0.099705197 395 high scalability-2008-09-25-Is your cloud as scalable as you think it is?

8 0.097520687 18 high scalability-2007-07-16-Paper: MySQL Scale-Out by application partitioning

9 0.097085744 1016 high scalability-2011-04-04-Scaling Social Ecommerce Architecture Case study

10 0.096134402 933 high scalability-2010-11-01-Hot Trend: Move Behavior to Data for a New Interactive Application Architecture

11 0.095517509 581 high scalability-2009-04-26-Map-Reduce for Machine Learning on Multicore

12 0.087036476 867 high scalability-2010-07-27-YeSQL: An Overview of the Various Query Semantics in the Post Only-SQL World

13 0.086085781 511 high scalability-2009-02-12-MySpace Architecture

14 0.085359097 1258 high scalability-2012-06-05-Thesis: Concurrent Programming for Scalable Web Architectures

15 0.084935531 297 high scalability-2008-04-05-Skype Plans for PostgreSQL to Scale to 1 Billion Users

16 0.084824622 1654 high scalability-2014-06-05-Cloud Architecture Revolution

17 0.083902627 1087 high scalability-2011-07-26-Web 2.0 Killed the Middleware Star

18 0.079039484 1160 high scalability-2011-12-21-In Memory Data Grid Technologies

19 0.078871273 524 high scalability-2009-03-04-Its time for auto scaling – avoid peak load provisioning for web applications

20 0.078504182 212 high scalability-2008-01-14-OpenSpaces.org community site launched - framework for building scale-out applications


similar blogs computed by lsi model

lsi for this blog:

topicId topicWeight

[(0, 0.096), (1, 0.025), (2, 0.018), (3, 0.051), (4, 0.01), (5, 0.05), (6, -0.007), (7, -0.058), (8, -0.042), (9, 0.042), (10, -0.019), (11, 0.028), (12, -0.031), (13, 0.065), (14, -0.039), (15, -0.04), (16, 0.034), (17, -0.045), (18, 0.041), (19, 0.001), (20, -0.019), (21, 0.036), (22, -0.014), (23, 0.009), (24, -0.013), (25, 0.012), (26, -0.021), (27, -0.074), (28, 0.051), (29, 0.062), (30, 0.051), (31, 0.01), (32, -0.042), (33, -0.021), (34, -0.059), (35, -0.035), (36, -0.065), (37, -0.03), (38, 0.036), (39, -0.005), (40, 0.059), (41, -0.076), (42, 0.048), (43, -0.053), (44, 0.011), (45, 0.006), (46, 0.052), (47, 0.018), (48, -0.019), (49, 0.017)]

similar blogs list:

simIndex simValue blogId blogTitle

same-blog 1 0.98193038 709 high scalability-2009-09-19-Space Based Programming in .NET

Introduction: Space-based architectures are an alternative to the traditional n-tier model for enterprise applications. Instead of a vertical tier partitioning, space based applications are partitioned horizontally into self-sufficient units. This leads to almost linear scalability of stateful, high-performance applications. This is a recording of a talk I did last month where I introduce space based programming and demonstrate how that works in practice on the .NET platform using Oracle Coherence and GigaSpaces.

2 0.73852557 416 high scalability-2008-10-15-Oracle opens Coherence Incubator

Introduction: During the Coherence Special Interest Group meeting in London, Brian Oliver from Oracle yesterday announced the start of the Coherence Incubator project. Coherence Incubator is a new online repository of projects that provides reference implementation examples for commonly used design patterns and integration solutions based on Oracle Coherence.

3 0.73312378 613 high scalability-2009-06-01-Data grid comparison: Oracle Coherence vs Gigaspaces XAP

Introduction: A short summary of differences between Oracle Coherence and GigaSpaces XAP.

4 0.69376272 402 high scalability-2008-10-05-Paper: Scalability Design Patterns

Introduction: I have introduced pattern languages in my earlier post on The Pattern Bible for Distributed Computing . Achieving highest possible scalability is a complex combination of many factors. This PLoP 2007 paper presents a pattern language that can be used to make a system highly scalable. The Scalability Pattern Language introduced by Kanwardeep Singh Ahluwalia includes patterns to: Introduce Scalability Optimize Algorithm Add Hardware Add Parallelism Add Intra-Process Parallelism Add Inter-Porcess Parallelism Add Hybrid Parallelism Optimize Decentralization Control Shared Resources Automate Scalability

5 0.60246837 384 high scalability-2008-09-16-EE-Appserver Clustering OR Terracota OR Coherence OR something else?

Introduction: Hi, I am very glad that this site exists, as I have learned more about clustering on this site than for quite some time reading stuff elsewhere. Oftentimes, one can find lots of material about clustering, but the practical real-life information is missing. Not so wih this site. I am currently planning the development of an application which has a lot of enterprise features and requirements. On the other side (if the tiny chance of success might strike us), this application would not be an in-house application of a financial institution, or something like that, but some kind of communit/web 2.0 web site. Thus it is an enterprise application with (hopefully, but surely unlikely) the user numbers of a social networking site. Each user initiated transaction involves huge resssources business logic wise (including insane amounts of encryption oprations). Of course, I do not intend to induldge into premature scaling, but to invest every minute I have into the implementation of bu

6 0.58420265 432 high scalability-2008-10-27-Three steps for turning a tier-based-Spring-application into dynamically scalable services (video)

7 0.58166909 423 high scalability-2008-10-19-Alternatives to Google App Engine

8 0.58068419 832 high scalability-2010-05-31-Scalable federated security with Kerberos

9 0.57811505 102 high scalability-2007-09-27-Product: Sequoia Database Clustering Technology

10 0.57249284 459 high scalability-2008-12-03-Java World Interview on Scalability and Other Java Scalability Secrets

11 0.56539112 292 high scalability-2008-03-30-Scaling Out MySQL

12 0.55977321 568 high scalability-2009-04-14-Designing a Scalable Twitter

13 0.55580765 392 high scalability-2008-09-24-Building a Scalable Architecture for Web Apps

14 0.55497259 1056 high scalability-2011-06-09-Retrospect on recent AWS outage and Resilient Cloud-Based Architecture

15 0.54866558 400 high scalability-2008-10-01-The Pattern Bible for Distributed Computing

16 0.53736615 438 high scalability-2008-11-05-Managing application on the cloud using a JMX Fabric

17 0.53135312 843 high scalability-2010-06-16-WTF is Elastic Data Grid? (By Example)

18 0.53113574 597 high scalability-2009-05-12-GemStone Unveils GemFire Enterprise 6.0

19 0.5230757 1087 high scalability-2011-07-26-Web 2.0 Killed the Middleware Star

20 0.5224703 18 high scalability-2007-07-16-Paper: MySQL Scale-Out by application partitioning


similar blogs computed by lda model

lda for this blog:

topicId topicWeight

[(1, 0.119), (2, 0.256), (10, 0.097), (30, 0.042), (61, 0.106), (73, 0.042), (79, 0.157), (94, 0.033)]

similar blogs list:

simIndex simValue blogId blogTitle

same-blog 1 0.98624468 709 high scalability-2009-09-19-Space Based Programming in .NET

Introduction: Space-based architectures are an alternative to the traditional n-tier model for enterprise applications. Instead of a vertical tier partitioning, space based applications are partitioned horizontally into self-sufficient units. This leads to almost linear scalability of stateful, high-performance applications. This is a recording of a talk I did last month where I introduce space based programming and demonstrate how that works in practice on the .NET platform using Oracle Coherence and GigaSpaces.

2 0.9796468 1291 high scalability-2012-07-25-Vertical Scaling Ascendant - How are SSDs Changing Architectures?

Introduction: With Amazon announcing new High I/O 2TB SSD instances the age of SSD has almost arrived. I say almost because the $27K a year price tag for the hi1.4xlarge on demand instance type is outside the budget of many. Yet even at the full on demand rate the price per IOP for the high IO instance is attractive: 27 cents ($27K/100K IOPS) per vs $1.25 for disk . With the obvious benefits of giant SSD machines combined with 10 Gbps networking, it’s interesting to consider: what architecture decisions might you make differently in the future? More Headroom for Vertical Scaling Simplifies Everything The beauty of higher hardware performance is it shifts effort away from the programmer which allows developers to focus on the business of business, minimizing trickeration. This has always been the allure of vertical scaling and is well realized by SSDs through a combination of high throughput, low latencies, and just as important, high densities. We have a few earl

3 0.97817385 780 high scalability-2010-02-19-Twitter’s Plan to Analyze 100 Billion Tweets

Introduction: If Twitter is the “nervous system of the web” as some people think, then what is the brain that makes sense of all those signals (tweets) from the nervous system? That brain is the Twitter Analytics System and Kevin Weil, as Analytics Lead at Twitter, is the homunculus within in charge of figuring out what those over 100 billion tweets (approximately the number of neurons in the human brain) mean. Twitter has only 10% of the expected 100 billion tweets now, but a good brain always plans ahead. Kevin gave a talk, Hadoop and Protocol Buffers at Twitter , at the Hadoop Meetup , explaining how Twitter plans to use all that data to an answer key business questions. What type of questions is Twitter interested in answering? Questions that help them better understand Twitter. Questions like: How many requests do we serve in a day? What is the average latency? How many searches happen in day? How many unique queries, how many unique users, what is their geographic dist

4 0.97717118 1159 high scalability-2011-12-19-How Twitter Stores 250 Million Tweets a Day Using MySQL

Introduction: Jeremy Cole , a DBA Team Lead/Database Architect at Twitter, gave a really good talk at the O'Reilly MySQL conference: Big and Small Data at @Twitter , where the topic was thinking of Twitter from the data perspective. One of the interesting stories he told was of the transition from Twitter's old way of storing tweets using temporal sharding , to a more distributed approach using a new tweet store called T-bird, which is built on top of Gizzard , which is built using MySQL. Twitter's original tweet store: Temporally sharded tweets was a good-idea-at-the-time architecture. Temporal sharding simply means tweets from the same date range are stored together on the same shard. The problem is tweets filled up one machine, then a second, and then a third. You end up filling up one machine after another. This is a pretty common approach and one that has some real flaws: Load balancing . Most of the old machines didn't get any traffic because people

5 0.97580898 1112 high scalability-2011-09-07-What Google App Engine Price Changes Say About the Future of Web Architecture

Introduction: When I was a child, I spake as a child, I understood as a child, I thought as a child: but when I became a man, I put away childish things . -- Corinthians With this new pricing, developments will be driven by the costs . I like to optimize my apps to make them better or faster, but to optimize them just to make them cheaper is a waste of time. -- Sylvain on Google Groups The dream is dead. Google App Engine's bold pay for what you use dream dies as it leaves childish things behind and becomes a real product . Pricing will change . Architectures will change. Customers will change. Hearts and minds will change. But Google App Engine  will survive.  Google is shutting down many of its projects . GAE is not among them. Do we have GAE's pricing change to thank for it surving the  more wood behind more deadly arrows push? Without a radical and quick shift towards profitably GAE would no doubt be a historical footnote in the long scroll of good ideas. The urgency involve

6 0.97394049 33 high scalability-2007-07-26-ThemBid Architecture

7 0.97390783 21 high scalability-2007-07-23-GoogleTalk Architecture

8 0.97359926 1491 high scalability-2013-07-15-Ask HS: What's Wrong with Twitter, Why Isn't One Machine Enough?

9 0.9735077 619 high scalability-2009-06-05-HotPads Shows the True Cost of Hosting on Amazon

10 0.97287071 1186 high scalability-2012-02-02-The Data-Scope Project - 6PB storage, 500GBytes-sec sequential IO, 20M IOPS, 130TFlops

11 0.97050762 795 high scalability-2010-03-16-1 Billion Reasons Why Adobe Chose HBase

12 0.97008717 736 high scalability-2009-11-04-Damn, Which Database do I Use Now?

13 0.96943671 1649 high scalability-2014-05-16-Stuff The Internet Says On Scalability For May 16th, 2014

14 0.96824157 1307 high scalability-2012-08-20-The Performance of Distributed Data-Structures Running on a "Cache-Coherent" In-Memory Data Grid

15 0.96787262 195 high scalability-2007-12-28-Amazon's EC2: Pay as You Grow Could Cut Your Costs in Half

16 0.96759111 589 high scalability-2009-05-05-Drop ACID and Think About Data

17 0.96665955 734 high scalability-2009-10-30-Hot Scalabilty Links for October 30 2009

18 0.96653461 687 high scalability-2009-08-24-How Google Serves Data from Multiple Datacenters

19 0.96632808 498 high scalability-2009-01-20-Product: Amazon's SimpleDB

20 0.96594673 1460 high scalability-2013-05-17-Stuff The Internet Says On Scalability For May 17, 2013