Remove Comparison Remove Hardware Remove Latency
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Distributed Algorithms in NoSQL Databases

Highly Scalable

Historically, NoSQL paid a lot of attention to tradeoffs between consistency, fault-tolerance and performance to serve geographically distributed systems, low-latency or highly available applications. A database should accommodate itself to different data distributions, cluster topologies and hardware configurations. Data Placement.

Database 213
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Achieving 100Gbps intrusion prevention on a single server

The Morning Paper

This makes the whole system latency sensitive. So we need low latency, but we also need very high throughput: A recurring theme in IDS/IPS literature is the gap between the workloads they need to handle and the capabilities of existing hardware/software implementations. The target FPGA for Pigasus has 16MB of BRAM.

Servers 128
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Seamless offloading of web app computations from mobile device to edge clouds via HTML5 Web Worker migration

The Morning Paper

Edge servers are the middle ground – more compute power than a mobile device, but with latency of just a few ms. These use their regression models to estimate processing time (which will depend on the hardware available, current load, etc.). Why would we want to live migrate web workers? for the wasm-version.

Mobile 104
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Linux Load Averages: Solving the Mystery

Brendan Gregg

They are demand on the system, albeit for software resources rather than hardware resources. ## Decomposing Linux load averages Can the Linux load average value be fully decomposed into components? Latency was acceptable and no one complained. Yes, I'd say so. They aren't idle. Load averages measured in a modern tool.

Latency 111
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The Speed of Time

Brendan Gregg

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. A quick check of basic performance statistics showed over 30% higher CPU consumption. us on Ubuntu.

Speed 103
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Comparing HammerDB TPROC-C results with sysbench-tpcc

HammerDB

In a recent project comparing systems for MariaDB performance, a user had originally been using a tool called sysbench-tpcc to compare hardware platforms before migrating to HammerDB. This is a brief post to highlight the metrics to use to do the comparison using a separate hardware platform for illustration purposes.

C++ 52
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Deep dive into NVIDIA Blackwell Benchmarks — where does the 4x training and 30x inference…

Adrian Cockcroft

There are three generations of GPUs that are relevant to this comparison. The Hopper H100 was announced in 2022 and is the current volume product that people are using, so that is used as the baseline for comparison. The HGX H100 8-GPU system is the baseline for comparison, and its datasheet performance is shownbelow.