Search Results for "latency" - Page 7
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Showing 192 open source projects for "latency"
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AhoCorasickDoubleArrayTrie
An extremely fast implementation of Aho Corasick algorithm
...By using a double-array trie representation, the project emphasizes performance and memory efficiency compared to simpler pointer-heavy trie structures, which can matter a lot for large dictionaries or latency-sensitive services. This makes it a strong fit for tasks like content filtering, entity/term spotting, dictionary-based annotation, or high-throughput log/text processing. In short, it’s a specialized, speed-focused library for industrial-strength multi-keyword matching in Java. -
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Lucet
Lucet, the Sandboxing WebAssembly Compiler.
...Developed by the Bytecode Alliance, it focuses on ahead-of-time compilation, converting WebAssembly modules into native machine code before execution to achieve fast startup times and predictable performance. Lucet is particularly notable for its use in edge computing environments, where low latency and efficient resource usage are critical, such as in content delivery networks. It leverages the Cranelift code generator to produce optimized native binaries and provides a runtime that enforces strict sandboxing, ensuring that untrusted code cannot compromise the host system. The project is designed to embed easily into applications, allowing developers to extend systems with plugin-like architectures powered by WebAssembly. -
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GraalVM
Run programs faster anywhere
...It is designed to accelerate the execution of applications written in Java and other JVM languages while also providing runtimes for JavaScript, Ruby, Python, etc. Increase application throughput and reduce latency. Compile applications into small self-contained native binaries. Seamlessly use multiple languages and libraries. Advanced optimizing compiler that generates fast lean code which requires fewer compute resources. Native binaries start up instantly and deliver peak performance with no warm up time. Leverage the best features and libraries of popular languages in a single app with no overhead. ... -
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Nebula worker
The worker node manager container which manages nebula nodes
Nebula is a open source distributed Docker orchestrator designed for massive scales (tens of thousands of servers/worker devices), unlike Mesos/Swarm/Kubernetes it has the ability to have workers distributed on high latency connections (such as the internet) yet have the pods(containers) be managed centrally with changes taking affect (almost) immediately, this makes Nebula ideal for managing a vast cluster of servers\devices across the globe, some example use cases are IoT devices, appliances\virtual appliances located at clients data centers, and edge computing. ... -
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Nebula docs
Documentation repo of nebula orchestration system
Nebula is a open source distributed Docker orchestrator designed for massive scales (tens of thousands of servers/worker devices), unlike Mesos/Swarm/Kubernetes it has the ability to have workers distributed on high latency connections (such as the internet) yet have the pods(containers) be managed centrally with changes taking affect (almost) immediately, this makes Nebula ideal for managing a vast cluster of servers\devices across the globe, some example use cases are appliances\virtual appliances located at clients data centers, edge computing, and POS systems. ... -
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Nebula reporter
The optional reporter container which reads nebula reports from Kafka
Nebula is an open source-distributed Docker orchestrator designed for massive scales (tens of thousands of servers/worker devices), unlike Mesos/Swarm/Kubernetes it has the ability to have workers distributed on high latency connections (such as the internet) yet have the pods(containers) be managed centrally with changes taking effect (almost) immediately, this makes Nebula ideal for managing a vast cluster of servers\devices across the globe. Ever wandered how your going to push an update to that smart fridge your company is working on as it's thousands of devices around the globe? ... -
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Node.js chaos monkey
Extremly naughty chaos monkey for Node.js
node-chaos-monkey brings chaos engineering to Node.js by injecting controlled failures into running services to validate resilience. It lets teams rehearse real-world incidents—latency spikes, random process exits, resource exhaustion—and observe how circuits, retries, and backoff strategies behave. The tool is designed to be safe and configurable, enabling narrow blast radii and scheduled experiments during non-critical windows. It integrates naturally with staging or even carefully guarded production environments where you want confidence instead of assumptions. ... -
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The Google Cloud Developer's Cheat Sheet
Cheat sheet for Google Cloud developers
Every product in the Google Cloud family described in <=4 words (with liberal use of hyphens and slashes) by the Google Developer Relations Team. This list only includes products that are publicly available. There are several products in pre-release/private-alpha that will not be included until they go public beta or GA. Many of these products have a free tier. There is also a free trial that will enable you try almost everything. API platforms and ecosystems, developer and management tools,... -
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Wally
Distributed Stream Processing
...Create a dependable and resilient distributed computing framework. Take care of the complexities of distributed computing "plumbing," allowing developers to focus on their business logic. Provide high-performance & low-latency data processing. Be portable and deploy easily (i.e., run on-prem or any cloud). Manage in-memory state for the application. Allow applications to scale as needed, even when they are live and up-and-running. The primary API for Wally is written in Pony. Wally applications are written using this Pony API. -
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Hystrix
Latency and Fault Tolerance for Distributed Systems
Defend your app with Hystrix, a latency and fault tolerance library developed by the Netflix API team. It works by isolating points of access to remote systems, services and 3rd party libraries, thereby stopping cascading failure and providing fallback options, and making complex distributed systems more resilient in cases where failure is inevitable. In a distributed environment, failure is simply inevitable for some service dependencies. -
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toxy
Hackable HTTP proxy for resiliency testing
...It operates at the HTTP application layer, giving developers more control over requests and responses than basic TCP throttling tools. Its core model uses poisons to alter traffic and rules to decide when those alterations should apply. Tests can inject latency, limit bandwidth, return errors, manipulate payloads, or combine several adverse conditions. Rules can filter traffic by route, headers, query values, methods, bodies, and other request properties. A hierarchical middleware architecture makes the proxy extensible with custom behaviors and reusable modules. The repository was archived in 2023, so it is primarily useful as a reference or for legacy testing setups. -
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FastFlow: programming multi-core
Pattern-based multi/many-core parallel programming framework
...FastFlow run-time is built upon non-blocking threads and lock-free queues. Thanks to its very efficient CAS-free communication/synchronization support (e.g. few clock cycles core-to-core latency), FastFlow effectively supports the exploitation of fine grain parallelism, e.g. parallel codes managing very high frequency streams on commodity multi-core. FastFlow works on x86, x86_64, PPC, ARM, and Linux, Mac and Win XP/7. From Jan 1, 2018 code development migrated on GitHub at https://github.com/fastflow/fastflow -
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cquery
C/C++ language server supporting multi-million line code base
...Emacs, Vim, VSCode, and others with language server protocol support. Cross-references, completion, diagnostics, semantic highlighting, and more. cquery is a highly-scalable, low-latency language server for C/C++/Objective-C. It is tested and designed for large codebases like Chromium. cquery provides accurate and fast semantic analysis without interrupting workflow. cquery implements almost the entire language server protocol and provides some extra features to boot. cquery is able to respond to queries quickly because it caches a huge amount of information. ... -
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TCPCopy
An online request replication tool, also a tcp stream replay tool
...TCPCopy has little influence on the production system except occupying additional CPU, memory and bandwidth. Moreover, the reproduced workload is similar to the production workload in request diversity, network latency and resource occupation. TCPCopy consists of two parts, TCPCopy and intercept. While TCPCopyruns on the online server and captures the online requests, intercept runs on the assistant server and does some assistant work, such as passing response info to TCPCopy. -
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test-tlb
Stupid memory latency and TLB tester
...It walks arrays using different strides and working-set sizes so you can observe when access patterns overflow cache or TLB capacity. By timing tight loops and varying parameters, the program reveals step-changes in latency that map to cache lines, page sizes, and TLB coverage. It is intentionally minimal so you can modify page sizes, strides, or pointer-chasing strategies to run experiments on different machines and kernels. The code is useful for teaching, hardware bring-up, or validating assumptions about huge pages and NUMA placement. Rather than providing a plotting framework, it prints timings that you can collect and graph with external tools to visualize cache/TLB boundaries. -
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The Edge Machine Learning library
Machine learning algorithms for edge devices
Machine learning models for edge devices need to have a small footprint in terms of storage, prediction latency, and energy. One instance of where such models are desirable is resource-scarce devices and sensors in the Internet of Things (IoT) setting. Making real-time predictions locally on IoT devices without connecting to the cloud requires models that fit in a few kilobytes.These algorithms can train models for classical supervised learning problems with memory requirements that are orders of magnitude lower than other modern ML algorithms. ... -
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WebDSP
A client-side signal processing library
WebDSP is a browser-based digital signal processing toolkit that leverages WebAssembly to perform high-performance audio and signal processing tasks directly within web applications. It is designed to bring real-time DSP capabilities to the browser, allowing developers to implement audio effects, filters, and transformations with low latency and high efficiency. The project provides a set of DSP primitives that can be composed into more complex processing pipelines, making it suitable for applications such as audio synthesis, analysis, and interactive sound design. By using WebAssembly, web-dsp achieves significantly better performance compared to pure JavaScript implementations, enabling more demanding processing tasks to run smoothly in real time. ... -
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LAMA
Heterogeneous Software Development Accelerated
...The framework supports multiple target platforms within a distributed heterogeneous environment. It offers optimized device code on the backend side, high scalability through latency hiding and asynchronous execution across multiple nodes. LAMA's modular and extensible software design supports the developer on several levels, regardless of whether writing his own portable code with the Heterogeneous Computing Development Kit or using prepared functionality from the Linear Algebra Package, the user always gains high productivity and maximum performance. -
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bytebufferpool
Anti-memory-waste byte buffer pool
...Its design focuses on concurrency safety and minimal overhead, making it suitable for multi-threaded environments. By recycling buffers, it helps improve application performance and reduce latency. Overall, bytebufferpool is a practical utility for optimizing memory usage in Go applications. -
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videoLat
Measure video delays
VideoLat helps you measure latency of audio and video processing pipelines such as conferencing tools. NOTE: development of videoLat has moved to github. See http://www.videolat.org for details. -
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EZAudio
An iOS and macOS audio visualization framework
An iOS and macOS audio visualization framework built upon Core Audio useful for anyone doing real-time, low-latency audio processing and visualizations. I've designed six audio components and two interface components to allow you to immediately get your hands dirty recording, playing, and visualizing audio data. These components simply plug into each other and build on top of the high-performance, low-latency AudioUnits API and give you an easy to use API written in Objective-C instead of pure C. ... -
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FFXIV: ARR Ping Check
Ping check for FFXIV Servers
This application lets you check your ping latency to one of the Final Fantasy XIV: A Realm Reborn servers. -
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Comcast
Simulating bad network connections so you can build better systems
...On Linux, Comcast supports several options: device, latency, target/default bandwidth, packet loss, protocol, and port number. -
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ngx_pagespeed
Automatic PageSpeed optimization module for Nginx
...Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. To see ngx_pagespeed in action, with example pages for each of the optimizations, see our demonstration site. PageSpeed improves web page latency by changing the resources on that web page to implement web performance best practices. -
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MathBench PC Benchmark
A benchmark to test your CPU, RAM, and system
MathBench - KRIEG Technologies Developed by: Northumber, KRIEG Technologies This application tests your CPU clock, CPU cores, ALU performance, RAM clock speed and latency, the threading management and your system optimization. It is divided into five calculation: - Pi number calculation - Napier number calculation - Random number generator - Prime numbers generator - Fibonacci series calculation It has four default presets, but the benchmark can be manually configured. - Normal: for all PCs - Gaming: for gaming laptop and gaming PCs - Enthusiast: for the most powerful PCs configurations - Ultra: for PCs configurations with overclocking
