Search Results for "cross platform sync"

MsQuic is a Microsoft implementation of the IETF QUIC protocol. It is cross-platform, written in C and designed to be a general-purpose QUIC library. MsQuic also has C++ API wrapper classes and exposes interop layers for both Rust and C#. QUIC has many benefits when compared to existing "TLS over TCP" scenarios. MsQuic has several features that differentiate it from other QUIC implementations. Optimized for client and server.

...PM2 lets you manage, maintain and increase Node.js performance. It is constantly assailed by over 1800 tests so you can deliver high quality applications, and deploy confidently and more often. PM2 is cross-platform and arguably the most widely-used process manager for Node.js with over 100 million downloads. Setting it up is easy, it just takes a couple of minutes and one simple command.

Nepxion Discovery is a solution for Spring Cloud with blue green, gray, route, blacklist, limitation, circuit breaker, degrade, isolation, monitor, tracing, dye, failover, async agent. Only one or more services are upgraded at a time, the upgrade is completed and monitored and observed, and this process is performed continuously until all the old versions in the cluster are upgraded to the new version. In the process of stopping the old version, it is impossible to accurately calculate...

IPTV/Video cloud Features: Cross-platform (Linux, MacOSX, FreeBSD, Raspbian/Armbian) GPU/CPU Encode/Decode/Post Processing Stream statistics CCTV Adaptive hls streams Load balancing Temporary urls HLS push EPG scanning Subtitles to text conversions AD insertion Logo overlay Video effects Relays Timeshifts Catchups Playlists Restream/Transcode from online streaming services like Youtube, Twitch Mozaic Many Outputs Physical Inputs Streaming Protocols File Formats Presets Vods/Series server-side support Pay per view channels Channels on demand HTTP Live Streaming (HLS) server-side support Public API, client server communication via JSON RPC Protocol gzip compression Deep learning video analysis Supported deep learning frameworks: Tensorflow NCSDK Caffe ML Hardware:

The "Distributed Processing Mgt Sys" (DPMS) is a software framework (based on "POCO" open source libraries) that provides simple interfaces for executing various "tasks" (applications/processes) across a "farm" of servers. The DPMS framework handles finding which server systems can execute which "tasks", as well as load balancing the tasks across the available "farm" of server systems. One potential use is for creating a "farm" of servers that does media processing/encoding/transcoding...

The Shepherd project is an effort to create an open-source enterprise class software platform for managing a "farm" of processing resources (servers with pre-installed software). Within the Shepherd architecture, pre-configured processes can be executed on a farm of "worker" nodes by calling them via their "resource ID". The Shepherd architecture includes the following primary software modules... - farmRcMgr: a process that manages load-balancing of "resource" processes across...

project shifted to https://code.google.com/p/orzoj/ [because connection to SF is quite slow here... :( ]

Iris is a network traffic generator which floods a network with traffic of a supported protocol in an effort to assist with any network diagnostics e.g. the testing of load balancing. Iris is software I have written for my university honours year project; it is written in C++ relying heavily on the Qt libraries. It is thus cross platform and will run on any platform supported by Qt.