Introduction to Application Device Queues – Greater Consistency Meeting SLAs
Like dedicated express lanes on the highway, Application Device Queues (ADQ) provide increased application response time predictability, lower latency, and higher throughput for high-priority applications. Greater predictability enables more servers to be added to a compute problem, more end users to be served, and greater consistency meeting customer service-level agreements (SLAs).
Scalable, Low-Latency Storage using ADQ and LightOS
Through a strategic collaboration, Intel and Lightbits Labs deliver greater performance, flexibility, and lower TCO for NVMe over Fabrics (NVMe-oF)-based disaggregated storage. Initial results: NVMe/TCP with a LightOS cluster demonstrates up to 30% predictability increase, up to 50% latency reduction and up to 70% IOPS improvement when using ADQ vs. without ADQ1.
Aerospike: First Commercial Database to Support Intel® Ethernet 800 Series with ADQ
Get useful insights from big data in real time. Based on Aerospike's testing in the Intel Labs, ADQ can result in greater than 75% improved throughput and, most importantly, greater than 45% increased response-time predictability for the Aerospike 4.7 or later next-generation NoSQL database running on a dual-socket server based on 2nd Gen Intel® Xeon® Scalable processors, configured with two Intel® Ethernet 800 Series network adapters with ADQ technology compared to the previously optimized approach of NUMA pinning.2
Lower Latency and Higher Predictability Caching using Memcached
Experience up to 60% lower latency and up to 60% increased predictability3 4 using ADQ with the popular memcached open source distributed caching system.
NVMe/TCP with ADQ using Linux Kernel
Open Source Redis
產品與效能資訊
如需有關效能與效能標竿結果更完整的資訊，請參閱 www.intel.com.tw/benchmarks。如需詳細組態資訊，請參閱 https://www.intel.com.tw/content/www/tw/zh/architecture-and-technology/ethernet/performance-testing-application-device-queues-with-aerospike.html。
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