Comparison Hardware Latency Servers 
The Morning Paper
NOVEMBER 15, 2020
Achieving 100 Gbps intrusion prevention on a single server , Zhao et al., Today’s paper choice is a wonderful example of pushing the state of the art on a single server. This makes the whole system latency sensitive. Moreover, Pigasus wants to do all this on a single server! Can you really do all this on a single server??
The Morning Paper
JANUARY 30, 2020
Edge servers are the middle ground – more compute power than a mobile device, but with latency of just a few ms. The kind of edge server envisaged here might, for example, be integrated with your WiFi access point. As such, web workers are a natural target to offload to a more powerful server.
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Brendan Gregg
SEPTEMBER 25, 2021
A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. This server is spending about a third of its CPU cycles just checking the time! As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. us on Ubuntu.
HammerDB
OCTOBER 23, 2023
Stored Procedures and Client SQL comparison To test the stored procedures and client implementations, we ran both workloads against a system equipped with Intel Xeon 8280L. the amount of data from the server to the client to achieve the same result. On MySQL, we saw a 1.5X performance advantage. Client connecting to 127.0.0.1,
SQL Server According to Bob
JANUARY 11, 2020
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Brendan Gregg
AUGUST 8, 2017
Thankfully, I found some older linux-devel mailing list archives, rescued from server backups, often stored as tarballs of digests. It's time in some cgroup paths, but this server is not doing much disk I/O. Latency was acceptable and no one complained. My search was starting to feel cursed. to the load average. Yes, I'd say so.
Highly Scalable
SEPTEMBER 18, 2012
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.
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