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Tent — All your data in one place

Tent — All your data in one place
Choose your host Tent lets you control your data instead of handing it over to service and app providers. Just like email, you choose a Tent provider or can set up your own Tent server. Tent data and relationships are portable so you can change Tent providers easily at any time. Also like email, all Tent users are first class citizens, no matter what provider they use: you can communicate in real time with any user on any provider. Choose your apps

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Classification of HTTP APIs This table provides a classification of HTTP-based APIs. The classification achieves an explicit differentiation between the various kinds of uses of HTTP and provides a foundation to analyse and describe the system properties induced. Providing distinct names for the API 'styles' overcomes the useless situation where APIs are named 'RESTful' and 'not so RESTful','almost RESTful', or 'unRESTful'.

Scalable Streaming Adaptive Streaming has a good potential to replace widely used progressive download. Adaptive streaming can dynamically adjust the video bit-rate to the varying available bandwidth and prevent prefetching too much future video data when the extra bandwidth is available but the data are eventually left unused. For adaptive streaming, video servers need to maintain multiple copies of the same video with different bit-rates for different clients and clients with different kinds of connectivity, which requires additional server storage and reduces cache hit ratio. Recently, Scalable Video Coding (H.264/SVC) is considered to be able to save server storage and increase hit ratio using the existing web cache infrastructure (click here to see how much storage can be saved). However, a rate adaptation algorithm still needs to be carefully designed for streaming scalable video. In this project, we design and implement a framework for Adaptive Scalable Video (H.264/SVC) Streaming over HTTP.

Programming Cloud: Introducing a Programming Revolution Battle-Tested Systems The core infrastructure of Wolfram Development Platform has been battle-tested for years in Wolfram's widely used public Wolfram|Alpha system. Maximize Programmer Productivity The knowledge-based Wolfram Language dramatically changes the economics of programming by automating many programming tasks and letting programmers start from a very high-level platform of built-in capabilities. Consulting if you Need It

MySQL Sample Databases There are many excellent and interesting sample databases available, that you can use as a template (or pattern) to design your own databases. 1. MySQL's Sample Employee Database Reference: MySQL's Sample Employees Database @ WebDAV Web Distributed Authoring and Versioning (WebDAV) is an extension of the Hypertext Transfer Protocol (HTTP) that allows clients to perform remote Web content authoring operations. A working group of the Internet Engineering Task Force (IETF) defined WebDAV in RFC 4918. The WebDAV working group concluded its work in March 2007, after the Internet Engineering Steering Group (IESG) accepted an incremental update to RFC 2518. Other extensions left unfinished at that time, such as the BIND method, have been finished by their individual authors, independent of the formal working group. Many modern operating systems provide built-in client-side support for WebDAV. History[edit]

Elasticsearch Document oriented Store complex real world entities in Elasticsearch as structured JSON documents. All fields are indexed by default, and all the indices can be used in a single query, to return results at breath taking speed. Microsoft SQL Server Community & Samples The SQL Server 2012 RTM versions of the Adventure Works OLTP sample database and Adventure Works data warehouse sample database are available on AdventureWorks for SQL Server 2012. SQL Server 2008R2 product code samples are available here. Download the AdventureWorks 2008R2 family of sample databases and AdventureWorks 2008R2 sample databases Note: When you click the big Download button on the SQL Server R2 sample code project page (this one), you will get the x64 installer and download the SQL Server 2008R2 samples. SQL Azure AdventureWorks community sample databases can be downloaded from here. SQL Server 2008 code samples are available here.

Log-structured merge-tree In computer science, the Log-Structured Merge-Tree (or LSM tree) is a data structure with performance characteristics that make it attractive for providing indexed access to files with high insert volume, such as transactional log data. LSM trees, like other search trees, maintain key-value pairs. LSM trees maintain data in two or more separate structures, each of which is optimized for its respective underlying storage medium; data is synchronized between the two structures efficiently, in batches. Most LSM trees used in practice employ multiple levels. Architecture - Flynn The Flynn architecture is designed to be simple and understandable. Most of the components of Flynn are no different than the services or applications that are deployed on top of Flynn. This is because the primary object in the system is the container and nearly everything runs in a container. For ease of understanding the significance of the components, Flynn is broken down into two layers.

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