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Fallacies of Distributed Computing - Wikipedia, the free encyclo

Fallacies of Distributed Computing - Wikipedia, the free encyclo
The Fallacies of Distributed Computing are a set of assumptions that L. Peter Deutsch and others at Sun Microsystems (now Oracle Corporation) originally asserted programmers new to distributed applications invariably make. These assumptions ultimately prove false, resulting either in the failure of the system, a substantial reduction in system scope, or in large, unplanned expenses required to redesign the system to meet its original goals.[citation needed] The fallacies[edit] The fallacies are summarized below:[1] Effects of the fallacies[edit] History[edit] See also[edit] References[edit] External links[edit]

http://en.wikipedia.org/wiki/Fallacies_of_Distributed_Computing

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Better Java Web Frameworks I have been doing web application framework development for a long time. In my first experience, we developed a “Web Application Framework“, to ease development so that even a business user could write an application. As the years passed, I never saw any business user writing applications because of the fact that this job belongs to programmers. Today some 4GL or DSL tools are still on the search of the same promise. Before writing our own framework, we had used WebObjects development tools, for Java web development. Threading lightly, Part 2: Reducing contention When we say a program is "too slow," we are generally referring to one of two performance attributes -- latency or scalability. Latency describes how long it takes for a given task to complete, whereas scalability describes how a program's performance varies under increasing load or given increased computing resources. A high degree of contention is bad for both latency and scalability. Why contention is such a problem Contended synchronizations are slow because they involve multiple thread switches and system calls.

upright - Making distributed systems Up (available) and Right (correct) UpRight is an infrastructure and library for building fault tolerant distributed systems. The goal is to provide a simple library that can ensure that systems remain up (available) and right (correct) despite faults. UpRight tries to make fault tolerance easy. Typically, connecting an application to the UpRight library requires only a few small changes, after which UpRight can handle the details of replication, fail-over, consistency, etc. The UpRight replication engine provides the following features: High Availability: the system remains available even if as many as u nodes fail (u is a configuration parameter) High Reliability: The system remains correct even if as many as r nodes fail, even if these failures are Byzantine (e.g., a hardware error or software bug corrupts a node's state or the messages a node sends to/receives from clients) High Performance: the performance of the UpRight version of the system is close to the unreplicated version.

Useful Coding Tools and JavaScript Libraries For Web Developers - Smashing Magazine Advertisement Everyone who is a regular Smashing Magazine reader will know that we have a traditional habit of regularly researching the latest resources, tools and services out there on the Web, as productivity is a crucial asset of professional Web designers and developers. We could, and should, all integrate workflow optimization into our working practices. Perhaps we should warn you upfront for the long compilation, but what can we say — there are so many excellent tools out there which deserve attention of the community, yet unfortunately remain obscure way too often. We love all the designers and developers out there for releasing and producing useful, valuable resources for all of us to use!

Category:Distributed data storage These articles pertain to peer to peer and distributed data sharing mechanisms that are not file sharing networks in of themselves. Subcategories This category has the following 5 subcategories, out of 5 total. Pages in category "Distributed data storage" The following 61 pages are in this category, out of 61 total. This list may not reflect recent changes (learn more). Tilt: Visualize your Web page in 3D Tilt is a Firefox extension that lets you visualize any web page DOM tree in 3D. It is being developed by Victor Porof (3D developer responsible with the Firefox extension itself), along with Cedric Vivier (creating a WebGL optimized equivalent to the privileged canvas.drawWindow, see #653656) and Rob Campbell (who first thought about creating a 3D visualization of a webpage). Everything started initially as a Google Summer of Code project, but now, with an enthusiastic team behind it and so many new features and ideas, it has become an active Developer Tools project. Tilt is a fun new Firefox extension focused on creating a 3D visualization of a webpage.

Proposed Asynchronous Servlet API With Java NIO, you can theoretically manage 10,000 read, write and read/write connections with a total of one thread. Yes, but it's not clear to me how you can manage this under the Servlet API. With a custom non-servlet server, then sure, assuming the request processing for each channel is lightweight enough. Note that the Servlet API extensions that Jetty has implemented could be standardised so that standard Servlets could work nicely with an NIO server efficiently like Jetty already has done. Distributed data store Distributed databases[edit] Peer network node data stores[edit] In peer network data stores, the user can usually reciprocate and allow other users to use their computer as a storage node as well.

The network bites. Never forget it. by alexis Oct 6

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