high_scalability high_scalability-2008 high_scalability-2008-393 knowledge-graph by maker-knowledge-mining
Source: html
Introduction: GridGain was kind enough to present at the September 17th instance of the Silicon Valley Cloud Computing Group . I've been curious about GridGain so I was glad to see them there. In short GridGain is: an open source computational grid framework that enables Java developers to improve general performance of processing intensive applications by splitting and parallelizing the workload . GridGain can also be thought of as a set of middleware primitives for building applications. GridGain's peer group of competitors includes GigaSpaces, Terracotta, Coherence, and Hadoop. The speaker for GridGain was the President and Founder, Nikita Ivanov. He has a very pleasant down-to-earth way about him that contrasts nicely with a field given to religious discussions of complex taxomic definitions. Nikita first talked about cloud computing in general. He feels Java is the perfect gateway for cloud computing. Which is good because GridGain only works with Java . The Java centricity of G
sentIndex sentText sentNum sentScore
1 In short GridGain is: an open source computational grid framework that enables Java developers to improve general performance of processing intensive applications by splitting and parallelizing the workload . [sent-3, score-0.354]
2 Nikita gave a few definitions which are key to understanding where GridGain stands in the grid matrix: Compute Grids : parallel execution. [sent-13, score-0.388]
3 Cloud computing poses a number of challenges: deployment, data sharing, load balancing, failover, discovery (nodes, availability), provisioning (add, remove), management, monitoring, development process, debugging, inter and external clouds (syncing data, syncing code, failover jobs). [sent-20, score-0.243]
4 GridGain is moving their grid into the cloud with new features like a cloud management layer available in Q1 2009. [sent-24, score-0.502]
5 A cloud platform makes it is to affordably grow and manage grids, so we might see an uptick in grid adoption as clouds and grids hookup. [sent-29, score-0.524]
6 Transparent and Low Configuration Implementation of Key Features A compute grid is just a bunch of CPUs calculations/jobs/work can be run on. [sent-57, score-0.425]
7 When deploying a grid a few key problems come up: How do you get your code to all nodes? [sent-60, score-0.413]
8 Over the same transparently formed grid, code updates are transparently auto deployed on the grid . [sent-78, score-0.41]
9 If you are just concerned with a program like a Monte Carlo simulation then the compute grid is all you need. [sent-99, score-0.479]
10 Where does your massive compute grid pull the data from? [sent-101, score-0.504]
11 A data grid is the controlled sharing and management of large amounts of distributed data . [sent-103, score-0.524]
12 GridGain leaves the data grid up to other software by integrating with packages like, JBoss Cache, Oracle Coherence, and GigaSpaces. [sent-104, score-0.388]
13 GridGain accesses the data grid through an API so you can plug in any data grid you want to support with a little custom code. [sent-106, score-0.776]
14 Other products like Coherence and GigaSpaces store data in an in-memory data grid instead of a filesytem. [sent-112, score-0.498]
15 GridGain controls job execution while the data grid is responsible for the availability and integrity of the data. [sent-116, score-0.455]
16 GridGain doesn't care what data grid you use, but your choice has implications for performance. [sent-117, score-0.388]
17 A compute grid and an in-memory data grid in the same cloud will smoke configurations where the data grid comes from disk or is located outside the cloud. [sent-118, score-1.269]
18 A data grid based test would be more useful to me as everything changes once large amounts of data start flying around, but it does indicate the core of GridGain is quite scalable. [sent-122, score-0.467]
19 Wrapping Up Grid products like Coherence and GigaSpaces include both compute grid and data grid features. [sent-123, score-0.844]
20 Why choose a compute grid only system like GridGain when other products include both capabilities? [sent-124, score-0.456]
wordName wordTfidf (topN-words)
[('gridgain', 0.806), ('grid', 0.309), ('compute', 0.116), ('grids', 0.109), ('gridify', 0.092), ('nodes', 0.084), ('dfs', 0.083), ('data', 0.079), ('monte', 0.074), ('carlo', 0.072), ('gigaspaces', 0.071), ('cloud', 0.068), ('coherence', 0.065), ('ding', 0.061), ('nakita', 0.061), ('management', 0.057), ('annotation', 0.055), ('nikita', 0.055), ('simulation', 0.054), ('method', 0.053), ('gain', 0.051), ('node', 0.051), ('computing', 0.046), ('definitions', 0.045), ('framework', 0.045), ('discovery', 0.044), ('automated', 0.043), ('java', 0.042), ('phrase', 0.041), ('talked', 0.041), ('ui', 0.039), ('somehow', 0.039), ('characteristic', 0.039), ('clouds', 0.038), ('come', 0.037), ('rightscale', 0.037), ('cpus', 0.037), ('almost', 0.036), ('syncing', 0.036), ('understood', 0.035), ('sent', 0.034), ('execution', 0.034), ('key', 0.034), ('transparently', 0.034), ('developer', 0.034), ('code', 0.033), ('job', 0.033), ('human', 0.033), ('pulled', 0.032), ('products', 0.031)]
simIndex simValue blogId blogTitle
same-blog 1 1.0000004 393 high scalability-2008-09-25-GridGain: One Compute Grid, Many Data Grids
Introduction: GridGain was kind enough to present at the September 17th instance of the Silicon Valley Cloud Computing Group . I've been curious about GridGain so I was glad to see them there. In short GridGain is: an open source computational grid framework that enables Java developers to improve general performance of processing intensive applications by splitting and parallelizing the workload . GridGain can also be thought of as a set of middleware primitives for building applications. GridGain's peer group of competitors includes GigaSpaces, Terracotta, Coherence, and Hadoop. The speaker for GridGain was the President and Founder, Nikita Ivanov. He has a very pleasant down-to-earth way about him that contrasts nicely with a field given to religious discussions of complex taxomic definitions. Nikita first talked about cloud computing in general. He feels Java is the perfect gateway for cloud computing. Which is good because GridGain only works with Java . The Java centricity of G
2 0.29484493 395 high scalability-2008-09-25-Is your cloud as scalable as you think it is?
Introduction: An unstated assumption is that clouds are scalable. But are they? Stick thousands upon thousands of machines together and there are a lot of potential bottlenecks just waiting to choke off your scalability supply. And if the cloud is scalable what are the chances that your application is really linearly scalable? At 10 machines all may be well. Even at 50 machines the seas look calm. But at 100, 200, or 500 machines all hell might break loose. How do you know? You know through real life testing. These kinds of tests are brutally hard and complicated. who wants to do all the incredibly precise and difficult work of producing cloud scalability tests? GridDynamics has stepped up to the challenge and has just released their Cloud Performance Reports . The report is quite detailed so I'll just cover what I found most interesting. GridDynamics in this report test three configurations: GridGain running a Monte-Carlo simulation on EC2 . This test is a CPU only test,
3 0.16706511 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
4 0.13706405 412 high scalability-2008-10-14-Sun N1 Grid Engine Software and the Tokyo Institute of Technology Super Computer Grid
Introduction: One of the world's leading technical institutes, the Tokyo Institute of Technology (Tokyo Tech) created the fastest supercomputer in Asia, and one of the largest outside of the United States. Using Sun x64 servers and data servers deployed in a grid architecture, Tokyo Tech built a cost-effective, flexible supercomputer that meets the demands of compute- and data-intensive applications. Built in just 35 days, the TSUBAME grid includes hundreds of systems incorporating thousands of processor cores and terabytes of memory, and delivers 47.38 trillion1 floating-point operations per second (TeraFLOPS) of sustained LINPACK benchmark performance and 1.1 petabyte of storage to users running common off-the-shelf applications. Based on the deployment architecture, the grid is expected to reach 100 TeraFLOPS in the future. This Sun BluePrints article provides an overview of the Tokyo Tech grid, named TSUBAME. The third in a series of Sun BluePrints articles on the TSUBAME grid, this document pro
5 0.13255163 46 high scalability-2007-07-30-Product: Sun Utility Computing
Introduction: The Sun Grid Compute Utility is a simple to use, simple to access data center-on-demand. Sun Grid delivers enterprise computing power and resources over the Internet, enabling developers, researchers, scientists and businesses to optimize performance, speed time to results, and accelerate innovation without investment in IT infrastructure. No matter the size of your business or the size of your job -- there is no barrier to entry and exit. This is the future of computing available today: IT as a service.
6 0.11943274 743 high scalability-2009-11-23-Big Data on Grids or on Clouds?
8 0.11758579 69 high scalability-2007-08-21-What does the next generation data center look like?
11 0.11483204 750 high scalability-2009-12-16-Building Super Scalable Systems: Blade Runner Meets Autonomic Computing in the Ambient Cloud
13 0.11161105 1160 high scalability-2011-12-21-In Memory Data Grid Technologies
14 0.11027616 691 high scalability-2009-08-31-Squarespace Architecture - A Grid Handles Hundreds of Millions of Requests a Month
16 0.10622669 373 high scalability-2008-08-29-Product: ScaleOut StateServer is Memcached on Steroids
17 0.10266672 126 high scalability-2007-10-20-Should you build your next website using 3tera's grid OS?
19 0.10103597 445 high scalability-2008-11-14-Useful Cloud Computing Blogs
topicId topicWeight
[(0, 0.167), (1, 0.026), (2, 0.051), (3, 0.056), (4, -0.084), (5, 0.028), (6, 0.02), (7, -0.068), (8, -0.041), (9, 0.045), (10, 0.015), (11, 0.059), (12, 0.052), (13, 0.022), (14, 0.045), (15, -0.033), (16, -0.016), (17, -0.023), (18, 0.009), (19, 0.003), (20, -0.065), (21, -0.017), (22, 0.076), (23, 0.02), (24, -0.01), (25, -0.07), (26, 0.015), (27, 0.034), (28, -0.04), (29, 0.031), (30, 0.003), (31, -0.013), (32, -0.061), (33, 0.014), (34, 0.033), (35, -0.019), (36, 0.018), (37, -0.011), (38, -0.011), (39, 0.017), (40, -0.027), (41, -0.08), (42, 0.128), (43, -0.027), (44, 0.009), (45, -0.031), (46, 0.076), (47, 0.03), (48, 0.018), (49, -0.04)]
simIndex simValue blogId blogTitle
same-blog 1 0.93661559 393 high scalability-2008-09-25-GridGain: One Compute Grid, Many Data Grids
Introduction: GridGain was kind enough to present at the September 17th instance of the Silicon Valley Cloud Computing Group . I've been curious about GridGain so I was glad to see them there. In short GridGain is: an open source computational grid framework that enables Java developers to improve general performance of processing intensive applications by splitting and parallelizing the workload . GridGain can also be thought of as a set of middleware primitives for building applications. GridGain's peer group of competitors includes GigaSpaces, Terracotta, Coherence, and Hadoop. The speaker for GridGain was the President and Founder, Nikita Ivanov. He has a very pleasant down-to-earth way about him that contrasts nicely with a field given to religious discussions of complex taxomic definitions. Nikita first talked about cloud computing in general. He feels Java is the perfect gateway for cloud computing. Which is good because GridGain only works with Java . The Java centricity of G
2 0.87086684 395 high scalability-2008-09-25-Is your cloud as scalable as you think it is?
Introduction: An unstated assumption is that clouds are scalable. But are they? Stick thousands upon thousands of machines together and there are a lot of potential bottlenecks just waiting to choke off your scalability supply. And if the cloud is scalable what are the chances that your application is really linearly scalable? At 10 machines all may be well. Even at 50 machines the seas look calm. But at 100, 200, or 500 machines all hell might break loose. How do you know? You know through real life testing. These kinds of tests are brutally hard and complicated. who wants to do all the incredibly precise and difficult work of producing cloud scalability tests? GridDynamics has stepped up to the challenge and has just released their Cloud Performance Reports . The report is quite detailed so I'll just cover what I found most interesting. GridDynamics in this report test three configurations: GridGain running a Monte-Carlo simulation on EC2 . This test is a CPU only test,
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 .
4 0.76657903 46 high scalability-2007-07-30-Product: Sun Utility Computing
Introduction: The Sun Grid Compute Utility is a simple to use, simple to access data center-on-demand. Sun Grid delivers enterprise computing power and resources over the Internet, enabling developers, researchers, scientists and businesses to optimize performance, speed time to results, and accelerate innovation without investment in IT infrastructure. No matter the size of your business or the size of your job -- there is no barrier to entry and exit. This is the future of computing available today: IT as a service.
5 0.74384123 69 high scalability-2007-08-21-What does the next generation data center look like?
Introduction: That's what people at the NGDC Conference get together and talk about. A lot of interesting subjects: data center virtualization HPC & grid; advanced facilitates management and planning; advanced network and services; applications; data center optimization and security; managing and protecting information. The Grid – Distributed Computing at Scale presentation is an interesting one.
6 0.71014541 743 high scalability-2009-11-23-Big Data on Grids or on Clouds?
7 0.69097203 1160 high scalability-2011-12-21-In Memory Data Grid Technologies
8 0.6632756 538 high scalability-2009-03-16-Are Cloud Based Memory Architectures the Next Big Thing?
9 0.65621489 696 high scalability-2009-09-07-Product: Infinispan - Open Source Data Grid
10 0.65569305 592 high scalability-2009-05-06-DyradLINQ
11 0.64583379 901 high scalability-2010-09-16-How Can the Large Hadron Collider Withstand One Petabyte of Data a Second?
12 0.63948876 439 high scalability-2008-11-10-Scalability Perspectives #1: Nicholas Carr – The Big Switch
13 0.63481045 419 high scalability-2008-10-15-The Tokyo Institute of Technology Supercomputer Grid: Architecture and Performance Overview
14 0.62882864 268 high scalability-2008-03-06-Announce: First Meeting of Boston Scalability User Group
15 0.62759399 126 high scalability-2007-10-20-Should you build your next website using 3tera's grid OS?
16 0.61717373 412 high scalability-2008-10-14-Sun N1 Grid Engine Software and the Tokyo Institute of Technology Super Computer Grid
17 0.61274838 843 high scalability-2010-06-16-WTF is Elastic Data Grid? (By Example)
18 0.59503818 542 high scalability-2009-03-17-IBM WebSphere eXtreme Scale (IMDG)
19 0.59291065 1581 high scalability-2014-01-17-Stuff The Internet Says On Scalability For January 17th, 2014
20 0.5908314 633 high scalability-2009-06-19-GemFire 6.0: New innovations in data management
topicId topicWeight
[(1, 0.169), (2, 0.18), (5, 0.01), (10, 0.027), (27, 0.013), (30, 0.022), (40, 0.014), (48, 0.14), (61, 0.077), (77, 0.021), (79, 0.121), (85, 0.017), (94, 0.05)]
simIndex simValue blogId blogTitle
same-blog 1 0.94145137 393 high scalability-2008-09-25-GridGain: One Compute Grid, Many Data Grids
Introduction: GridGain was kind enough to present at the September 17th instance of the Silicon Valley Cloud Computing Group . I've been curious about GridGain so I was glad to see them there. In short GridGain is: an open source computational grid framework that enables Java developers to improve general performance of processing intensive applications by splitting and parallelizing the workload . GridGain can also be thought of as a set of middleware primitives for building applications. GridGain's peer group of competitors includes GigaSpaces, Terracotta, Coherence, and Hadoop. The speaker for GridGain was the President and Founder, Nikita Ivanov. He has a very pleasant down-to-earth way about him that contrasts nicely with a field given to religious discussions of complex taxomic definitions. Nikita first talked about cloud computing in general. He feels Java is the perfect gateway for cloud computing. Which is good because GridGain only works with Java . The Java centricity of G
2 0.9411993 610 high scalability-2009-05-29-Is Eucalyptus ready to be your private cloud?
Introduction: Update: : Eucalyptus Goes Commercial with $5.5M Funding Round . This removes my objection that it's an academic project only. Go team go! Rich Wolski , professor of Computer Science at the University of California, Santa Barbara, gave a spirited talk on Eucalyptus to a large group of very interested cloudsters at the Eucalyptus Cloud Meetup . If Rich could teach computer science at every school the state of the computer science industry would be stratospheric. Rich is dynamic, smart, passionate, and visionary. It's that vision that prompted him to create Eucalyptus in the first place. Rich and his group are experts in grid and distributed computing, having a long and glorious history in that space. When he saw cloud computing on the rise he decided the best way to explore it was to implement what everyone accepted as a real cloud, Amazon's API. In a remarkably short time they implement Eucalyptus and have been improving it and tracking Amazon's changes ever since. The question
3 0.93305963 880 high scalability-2010-08-13-Hot Scalability Links for Aug 13, 2010
Introduction: Ezra Zygmuntowicz in a heart warming account of his 4 Years at Engine Yard , has concluded in his experience that: the true future of cloud computing for developers is to not think about servers at all. It is now time to focus on the Application and new levels of abstraction that allow folks to use the computing resources in easier and easier ways. Tweets of Gold: bryanlatten : Nothing like a million caching layers to screw up an already complicated deployment. Thankfully, there is beer. jkalucki : Twitter isn't down, you are just using the wrong access methods... andyedinborough : I don't mean to hate, but why would I give up performance and scalability for a dynamic language? Honestly, I don't get it. AsitSinha : It's amazing.... to see the absence of an understanding of how capability plays a role in scalability. scottgal : Devs are HORRIBLE DBAs. Used to do Scalability labs for MS UK and bad schemas were the single biggest issue (next to bad Indexes
4 0.93157476 873 high scalability-2010-08-06-Hot Scalability Links for Aug 6, 2010
Introduction: Twitter Sees Its 20 Billionth Tweet writes Marshall Kirkpatrick of ReadWriteWeb. Startups die for not having customers, so STOP thinking about how to scale . Alessandro Orsi says focusing on the architecture and scaling possibilities of your app for millions of users is just plain dumb...concentrate on marketing...concentrate on user experience . Alessandro is perfectly correct, but this isn't the year the 2000 when the default architecture that is easy is also not scalable and when sites were built from scratch one painful user at a time. Today neither is tue. In the era of social networks, where Facebook has 500 million users, successful applications can and often do spike to millions of users seemingly overnight. And you have to have some architecture. With today's tool-chains you don't have to choose easy and non-scalable. There are other options. Of course, it's all pointless without customers and that is what you need to worry about, but it's a false choice in this era to
5 0.9211272 496 high scalability-2009-01-17-Scaling in Games & Virtual Worlds
Introduction: "Online games and virtual worlds have familiar scaling requirements, but don’t be fooled: everything you know is wrong." Jim Waldo, Sun Microsystems Laboratories * The computational environment for online games or virtual worlds is close to the exact inverse of that found in most markets serviced by the high-tech industry. * The need for a heavyweight client is, in part, an outcome of the evolution of these games. * Latency is the enemy of fun—and therefore the enemy of online games and virtual worlds. * The game server is used both to discourage cheating (by making it much more difficult) and to detect cheating (by seeing patterns of divergence between the game state reported by the client and the game state held by the server). Peer-to-peer technologies might seem a natural fit for the first role of the game server, but this second role means that few if any games or worlds trust their peers enough to avoid the server component. * Using multiple servers is a basic mecha
6 0.90600747 611 high scalability-2009-05-31-Need help on Site loading & database optimization - URGENT
8 0.8974843 576 high scalability-2009-04-21-What CDN would you recommend?
9 0.89349687 1612 high scalability-2014-03-14-Stuff The Internet Says On Scalability For March 14th, 2014
10 0.89155406 888 high scalability-2010-08-27-OpenStack - The Answer to: How do We Compete with Amazon?
11 0.89145684 1011 high scalability-2011-03-25-Did the Microsoft Stack Kill MySpace?
12 0.89100194 1514 high scalability-2013-09-09-Need Help with Database Scalability? Understand I-O
13 0.89056969 1275 high scalability-2012-07-02-C is for Compute - Google Compute Engine (GCE)
14 0.89026541 841 high scalability-2010-06-14-How scalable could be a cPanel Hosting service?
15 0.88951266 935 high scalability-2010-11-05-Hot Scalability Links For November 5th, 2010
16 0.88931805 1037 high scalability-2011-05-10-Viddler Architecture - 7 Million Embeds a Day and 1500 Req-Sec Peak
17 0.88884228 837 high scalability-2010-06-07-Six Ways Twitter May Reach its Big Hairy Audacious Goal of One Billion Users
18 0.88860422 509 high scalability-2009-02-05-Product: HAProxy - The Reliable, High Performance TCP-HTTP Load Balancer
19 0.8884424 1093 high scalability-2011-08-05-Stuff The Internet Says On Scalability For August 5, 2011
20 0.88843209 1028 high scalability-2011-04-22-Stuff The Internet Says On Scalability For April 22, 2011