DZone

AUGUST 18, 2023

You may also know that this has led to an increase in the demand for efficient and secure data storage solutions that won’t break the bank. By processing data at the edge of the network, latency can be minimized, which means that data can be processed and analyzed faster.

IoT 130

IoT Media Latency Storage 130

Dynatrace

APRIL 26, 2022

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs). Endpoint monitoring (EM). Endpoints can be physical (i.e.,

Monitoring 200

Monitoring Social Media IoT Metrics 200

ScaleOut Software

JULY 19, 2021

We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. Conventional streaming analytics architectures have not kept up with the growing demands of IoT. The heavy lifting is deferred to the back office.

IoT 78

IoT Analytics Big Data Architecture 78

ACM Sigarch

DECEMBER 6, 2018

Each of these categories opens up challenging problems in AI/visual algorithms, high-density computing, bandwidth/latency, distributed systems. Advantages can be harnessed in terms of execution efficiency as well as realizing immersive VR usages for example. For many IoT applications involving wireless video sensors (e.g.

Wireless 54

Wireless IoT Analytics Architecture 54

The Morning Paper

OCTOBER 26, 2020

On the surface this is a paper about fast data ingestion from high-volume streams, with indexing to support efficient querying. It’s limited by the laws of physics in terms of end-to-end latency. Industrial IoT use cases are an example here. Helios: hyperscale indexing for the cloud & edge , Potharaju et al.,

Cloud 104

Cloud Big Data Latency Architecture 104

Alex Russell

APRIL 29, 2021

Chrome has missed several APIs for 3+ years: Storage Access API. Efficiently enables new styles of drawing content on the web , removing many hard tradeoffs between visual richness , accessibility, and performance. For heavily latency-sensitive use-cases like WebXR, this is a critical component in delivering a good experience.

Media 145

Media Games Education Engineering 145

All Things Distributed

JUNE 21, 2018

Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model where the access patterns require low-latency Gets/Puts for known key values. The purpose of DynamoDB is to provide consistent single-digit millisecond latency for any scale of workloads.

Database 167

Database AWS Games Latency 167