Remove Cache Remove Latency Remove Operating System Remove Virtualization
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Netflix Cloud Packaging in the Terabyte Era

The Netflix TechBlog

Uploading and downloading data always come with a penalty, namely latency. Virtual Assembly Figure 3 describes how a virtual assembly of the encoded chunks replaces the physical assembly used in our previous architecture. For write operations, those challenges do not apply.

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What is a Distributed Storage System

Scalegrid

By implementing data replication strategies, distributed storage systems achieve greater. Durability Availability Fault tolerance These combined outcomes help minimize latency experienced by clients spread across different geographical regions.

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Answering Common Questions About Interpreting Page Speed Reports

Smashing Magazine

You might think of it like racing a car in virtual reality, where the conditions are decided in advance, rather than racing on a live track where conditions may vary. If throttling is applied at the operating system level , then the metrics match what a real user with those network conditions would experience.

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A tale of two abstractions: the case for object space

The Morning Paper

This is a companion paper to the " persistent problem " piece that we looked at earlier this week, going a little deeper into the object pointer representation choices and the mapping of a virtual object space into physical address spaces. " Epheremal virtual addresses don’t cut it as the basis for persistent pointers.

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MongoDB Best Practices: Security, Data Modeling, & Schema Design

Percona

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. Operating System (OS) settings Swappiness Swappiness is a Linux kernel setting that influences the behavior of the Virtual Memory manager when it needs to allocate a swap, ranging from 0-100.

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A persistent problem: managing pointers in NVM

The Morning Paper

Byte-addressable non-volatile memory,) NVM will fundamentally change the way hardware interacts, the way operating systems are designed, and the way applications operate on data. This means that the overheads of system calls become much more noticeable. in front of that memory , as we saw last week).

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AppFabric Caching: Retry Later

ScaleOut Software

Likewise, object access paths must be heavily multi-threaded and avoid lock contention to minimize access latency and maximize throughput. Given all this, we thought it would be a good opportunity to see how we are doing relative to the competition, and in particular, relative to Microsoft’s AppFabric caching for Windows on-premise servers.

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