Remove Course Remove Efficiency Remove Hardware Remove Latency
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What is a Distributed Storage System

Scalegrid

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. By implementing data replication strategies, distributed storage systems achieve greater.

Storage 130
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This spring: High-Performance and Low-Latency C++ (Stockholm) and ACCU (Bristol)

Sutter's Mill

Tue-Thu Apr 25-27: High-Performance and Low-Latency C++ (Stockholm). On April 25-27, I’ll be in Stockholm (Kista) giving a three-day seminar on “High-Performance and Low-Latency C++.” Description.

Latency 51
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Achieving 100Gbps intrusion prevention on a single server

The Morning Paper

Improving the efficiency with which we can coordinate work across a collection of units (see the Universal Scalability Law ). Options 1 and 2 are of course the ‘scale out’ options, whereas option 3 is ‘scale up’. This makes the whole system latency sensitive. Increasing the amount of work we can do on a single unit.

Servers 128
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Snap: a microkernel approach to host networking

The Morning Paper

Here are the bombshell paragraphs: Our datacenter applications seek ever more CPU-efficient and lower-latency communication, which Pony Express delivers. Rather than reimplement TCP/IP or refactor an existing transport, we started Pony Express from scratch to innovate on more efficient interfaces, architecture, and protocol.

Network 92
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A case for managed and model-less inference serving

The Morning Paper

As we saw with the SOAP paper last time out, even with a fixed model variant and hardware there are a lot of different ways to map a training workload over the available hardware. First off there still is a model of course (but then there are servers hiding behind a serverless abstraction too!). autoscaling).

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Narrowing the gap between serverless and its state with storage functions

The Morning Paper

Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. " " Running end-user compute inside the datastore is not without its challenges of course. V8 is lightweight enough that it can easily support thousands of concurrent tenants.

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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.). This could of course be a local worker on the mobile device.

Mobile 104