ScaleOut Software

AUGUST 18, 2018

Digital twins are software abstractions that track the behavior of individual devices in IoT applications. Because real-world IoT applications can track thousands of devices or other entities (e.g., The digital twin model is worth a close look when designing the next generation of IoT applications.

IoT 45

IoT Ecommerce Latency Analytics 45

VoltDB

APRIL 25, 2024

While Wi-Fi theoretically can achieve 5G-like speeds, it falls short in providing the consistent performance and reliability that 5G offers, including low latency, higher speeds, and increased bandwidth. Additionally, frequent handoffs between access points can lead to delays and connection drops.

Network 52

Network IoT Wireless Infrastructure 52

ScaleOut Software

AUGUST 18, 2018

Digital twins are software abstractions that track the behavior of individual devices in IoT applications. Because real-world IoT applications can track thousands of devices or other entities (e.g., The digital twin model is worth a close look when designing the next generation of IoT applications.

IoT 40

IoT Ecommerce Latency Analytics 40

The Morning Paper

OCTOBER 4, 2020

We are standing on the eve of the 5G era… 5G, as a monumental shift in cellular communication technology, holds tremendous potential for spurring innovations across many vertical industries, with its promised multi-Gbps speed, sub-10 ms low latency, and massive connectivity. Throughput and latency. energy consumption).

Energy 130

Energy Latency Performance Network 130

Dynatrace

APRIL 5, 2021

These include website hosting, database management, backup and restore, IoT capabilities, e-commerce solutions, app development tools and more, with new services released regularly. AWS continues to improve how it handles latency issues. The Amazon Web Services ecosystem. It helps SRE teams automate responses.

Lambda 189

Lambda AWS Serverless Hardware 189

Dynatrace

MAY 27, 2021

IoT – Data processing on edge locations. It keeps application processing closer to the data to maintain higher bandwidth and lower latencies, adheres to compliance regulations that don’t yet approve cloud managed services, and allows data center capital investments to be fully amortized before moving to the cloud.

AWS 132

AWS IoT Virtualization Monitoring 132

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.

Metrics 363

Metrics Open Source Monitoring Cloud 363

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. Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives.

IoT 78

IoT Big Data Analytics Architecture 78

Adrian Cockcroft

NOVEMBER 18, 2024

From AWS architectures to web applications to AI workloads, explore the impact of shifting responsibilities when moving along the spectrum of self-managed and managed. Take a close look at services and discuss trade-offs and considerations for resource efficiency and how to keep architecture flexible as requirements change.

AWS 98

AWS Energy Lambda Government 98

The Netflix TechBlog

AUGUST 30, 2021

System Setup Architecture The following diagram summarizes the architecture description: Figure 1: Event-sourcing architecture of the Device Management Platform. By the following morning, alerts were received regarding high memory consumption and GC latencies, to the point where the service was unresponsive to HTTP requests.

Latency 219

Latency Traffic Transportation Cloud 219

The Morning Paper

OCTOBER 26, 2020

Helios also serves as a reference architecture for how Microsoft envisions its next generation of distributed big-data processing systems being built. These two narratives of reference architecture and ingestion/indexing system are interwoven throughout the paper. Why do we need a new reference architecture? Emphasis mine ).

Cloud 104

Cloud Big Data Latency Architecture 104

VoltDB

NOVEMBER 14, 2024

Volt’s architecture supports energy management applications with its low-latency, high-availability data processing, making it ideal for tracking and optimizing real-time energy usage across industrial sites. Impact: AI-driven energy management leads to significant cost savings and contributes to sustainability goals.

Energy 52

Energy Logistics Transportation Latency 52

Dynatrace

JULY 6, 2020

Azure HDInsight supports a broad range of use cases including data warehousing, machine learning, and IoT analytics. This means that you can improve performance, scale your application, and enable complex application architectures like IaaS and PaaS, on premise + cloud, or multi-cloud hybrid environments.

Azure 153

Azure Cloud Big Data Virtualization 153

ACM Sigarch

DECEMBER 6, 2018

Each of these categories opens up challenging problems in AI/visual algorithms, high-density computing, bandwidth/latency, distributed systems. To foster research in these categories, we provide an overview of each of these categories to understand the implications on workload analysis and HW/SW architecture research.

Wireless 54

Wireless IoT Architecture Analytics 54

ScaleOut Software

APRIL 6, 2021

The unique capabilities of real-time digital twins can provide important advances for numerous applications, including security, fleet telematics, IoT, smart cities, healthcare, and financial services. The management console installs as a set of Docker containers on the management server.

IoT 52

IoT Azure Analytics Healthcare 52

The Morning Paper

FEBRUARY 23, 2020

Our approach differs substantially by (1) providing economic incentives for data to be contributed and integrated into existing schemas, (2) offering a SQL interface instead of graph based approaches, (3) including the computational and storage infrastructure in the architectural vision. An embodiment for structured data for IoT.

Blockchain 94

Blockchain Internet Internet IoT 94

All Things Distributed

JULY 14, 2015

In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale. You can also use triggers to power many modern Internet of Things (IoT) use cases.

Database 165

Database Lambda AWS IoT 165

VoltDB

MAY 30, 2024

If you pick a data platform that can only be deployed in a set number of geographic locations, it could lead to latency issues due to increasingly stringent latency SLAs and trouble meeting those SLAs due to the limits of physics. To avert a drag on latency , you can make the change locally and send it to the remote site.

Latency 52

Latency Cloud Database Tuning 52

O'Reilly

DECEMBER 2, 2019

For applications like communication between AVs, latency–how long it takes to get a response–is more likely to be a bigger limitation than raw bandwidth, and is subject to limits imposed by physics. There are impressive estimates for latency for 5G, but reality has a tendency to be harsh on such predictions. Mike Loukides.

Wireless 53

Wireless Serverless IoT Artificial Intelligence 53

Enprowess

SEPTEMBER 7, 2021

The technology develops single-page applications , websites, and backend API services designed with real-time and push-based architectures. IoT-based applications. with its low latency I/O operations, gives the benefit of ‘No buffering’ to developers. Use cases of Node.js Micro-services. Streaming web applications.

Open Source 52

Open Source Virtualization Programming Servers 52

Abhishek Tiwari

NOVEMBER 3, 2018

When it comes to innovation, most of CMS solutions are constrained by their legacy architecture (read strong coupling between content management and content presentation) which makes it difficult to serve content to new types of emerging channels such as apps and devices. Decoupled CMS vs. headless CMS.

Systems 63

Systems Cache Website Network 63