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Israel
11-50 Employees
2008
Saguna MEC Starter kit provides a fast & simple way to kick off your edge computing initiative. As we move closer to the 5G implementation, telecom service providers have two options: non-standalone (NSA) and standalone (SA) 5G.
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Featured
5G EDGE CLOUD COMPUTING
... Saguna, the Multi access Edge Cloud Computing pioneer, helps communication companies monetize, optimize & accelerate their networks. ...
United States
1-10 Employees
2009
Remote Industrial Sites present unique challenges to operate efficiently and effectively, for example, construction sites, oil rigs, unmanned industrial stations, industrial farms, and weather monitoring stations. The utility power source is either non-existent or available at a premium, WiFi is... The PKI (Public Key Infrastructure) uses a pair of keys, that consists of a public key and a private key, to implement secure communication and authentication. Mobile Edge Computing (MEC) refers to co-location of cloud computing at the edge of mobile access network. The benefits of MEC include, ultra low latency, high bandwidth, rich user ...
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Industrial IoT Edge and Cloud Computing Solutions within reach...
... Industrial IoT Edge and Cloud Computing Solutions within reach ...
Bogota, Colombia
1-10 Employees
2020
Streamline decision making on the shop floor, with meaningful and scalable information to your business needs! Through DashKøre, access consolidated and contextualized information from various sources in real time. Correlate technical, financial, and production information to focus efforts where more value is generated for your business. Customized alarms according to the company's risk appetite. Optimize maintenance management of your operation, placing each resource where it has the most impact for your business, reducing downtime risk!
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Onkore | Inteligencia Artificial aplicada al Mantenimiento Industrial
... IIoT | Edge | Cloud Computing | Big Data | Machine Learning | Artificial ...
Reading, United Kingdom
1-10 Employees
2021
We provide multi tenanted or single use Modular Datacenters and our Pods range from 50KW up to 100KW+ for HPC and Ai. Sonic Edge was formed to help organisations plan, deliver and run their Modular Datacenters anywhere in the world by providing a range of Edge and HPC ready Modular Datacenter solutions. From street furniture size pods to 100KW N+1 purpose built 100 Rack Prefabricated Datacentres we provide our customers with the ability to deploy their applications anywhere in the world. We offer a comprehensive range of services including:. Our state-of-the-art designs optimise power consumption, reducing your environmental footprint without compromising performance. Sonic Edge provides round-the-clock support to ensure your datacenter operates seamlessly, minimising downtime and maximising productivity.
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Sonic Edge - Cloud Edge Computing
... Sonic Edge - Cloud Edge Computing ...
Leuven, Belgium
1-10 Employees
2007
APIXA is specialized in resolving challenging computer vision problems. We offer services and solutions in various areas of computer vision, including deep learning and artificial intelligence, imaging technologies, hyperspectral imaging, 3D vision, optical system design, calibration services, edge & cloud computing and GPU processing.Over the years, APIXA has engaged in a multitude of research oriented and industrial automation projects. Our customers cover renowned international players, high-tech niche players and a range of other organizations. In support of our strong business growth, Vision++ moved to its new headquarter offices in Haasrode Research Park in Leuven. The new facilities include spacious office areas as well as three state-of-the-art computer vision laboratories.
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Featured
Edge & Cloud Computing
... The rise of cloud and edge computing ...
Woodstock, United States
1-10 Employees
2014
Purchase services easily and securely at the bPartners US online store.Make your first purchase and receive personalized attention from a human being.All services contracted here are validated and protected by our security filters.
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Featured
VM Windows Silver TICs /Stratosphere/Cloud & Edge Computing
... Paquete Silver VM Windows 4 Vcpu 16 Gb RAM 50 Gb S.O 200 GB de Almacenamiento Transferencia Ilimitada Windows 10 México/TICs /Stratosphere/Cloud & Edge Computing/VM Windows ...
Noida, India
11-50 Employees
2019
Also, we provide Salesforce Custom Development services that let clients obtain custom Salesforce tools for their customers or firms. We are one of the leading Salesforce® consulting companies with an aim to grow your business and deliver superior quality Salesforce® development services at affordable prices. We are experts in Salesforce customization, consulting, and setup services that assist businesses to tackle marketing, sales, and support challenges. CodinixCloud can get your business up & running with very little disruption! Team "CodinixCloud" demonstrated a broad knowledge of Salesforce Marketing Cloud platform and a robust understanding of best practices in using the platform. Working with "CodinixCloud" team proved to be a positive experience – their level of expertise and communication made sure the project was a success!. Business success depends on how effectively it delivers products and services that match your operational and critical objectives. Codinix Consulting Services delivers cost-effective, practical solutions to sales, marketing, and service processes.
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Cloud Computing Development Solutions | Codinix Cloud/Codinix
... Deploying Cutting-Edge Cloud Computing Solutions and Technologies for your Business ...
Warsaw, Poland
11-50 Employees
2014
We specialize in solving problems combining in-depth analysis, creative approach and innovative IT technologies. We focus on your business, potential and your customers. The next generation software development involves vision, ideas and state-of-the-art tools and technology, effective processes and quality management across each stage of project life cycle. Our product allows providing and using top-quality services on site as well as remotely. Value created by privacy engineering provides high level of sensitive medical data protection with ease of use. Edge computing provides flexibility for organizations to achieve greater data sovereignty, greater autonomy, better security, and better latency while unlocking a variety of use cases that rely on real-time data processing. Are you interested in getting to know us and our services?
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MineMind Sp. z o. o.
... Cloud and edge computing ...
Stupino, Russia
51-100 Employees
2007
«Нам нравится гибкость подхода NGENIX и возможность легко включать и выключать дополнительные сервисы по требованию. Личный кабинет удобен для управления работой платформы и обеспечивает дополнительный уровень прозрачности». «Сотрудничество с NGENIX позволило нам ускорить работу веб‑ресурса Сравни.ру в регионах и снизить нагрузку на нашу инфраструктуру за счёт эффективного кэширования данных на платформе NGENIX». «Подключившись к NGENIX, мы забыли, что такое ждать ответа от службы сопровождения больше 15 минут или решать масштабную проблему больше часа. Мы получили новую команду единомышленников, с которыми вместе можем решать интересные и нестандартные задачи». «Уже после первых недель тестирования мы смогли оценить результат работы NGENIX — было зафиксировано многократное сокращение размера изображений, запрашиваемых пользователями с серверов оригинации, а эффект масштаба позволил снизить объемы потребляемого трафика». «Платформа NGENIX позволяет эффективно работать с пиковым трафиком и иметь большой запас по нагрузке в периоды распродаж, предлагая при этом целую экосистему облачных сервисов».
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NGENIX Edge Cloud Computing
... NGENIX Edge Cloud Computing ...
Luleå, Sweden
1-10 Employees
2008
We are a team of very experienced software professionals with a passion for innovation. We are long-time trusted partners for Tier-1 network vendors and service providers. Arctos Labs provides technology and a software solution, Edge Cloud Optimization (ECO), that can optimize a network of computing locations distributed across a geographic area and connected into an edge-to-cloud continuum and how it’s being used.In a world of increasing data velocity, micro-services, user mobility, and dynamic load fluctuation, there are many considerations to make. ECO is a software solution that provides policy management, policy enforcement, and optimization capabilities.It is intended to extend the features of client systems, such as IT automation, Orchestrators, or planning tools by integrating ECO into such solutions. ECO is built with a unique model-driven concept that enables use-case flexibility regarding which metric data to use as input, and what the optimization criteria are. Arctos Labs also offers a range of accompanying services for requirement analysis and integration services. Our background spans from being lead architects for many of the products you use when making your daily mobile phone calls, to business and product management. That challenge became a mission as there are so many aspects to consider.
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Model-driven optimization for edge to cloud computing and its networking
... Model-driven optimization for edge to cloud computing and its ...
Technologies which have been searched by others and may be interesting for you:
Some interesting numbers and facts about the results you have just received for Edge Cloud Computing
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 105 |
| Amount of suitable service providers | 91 |
| Average amount of employees | 1-10 |
| Oldest suiting company | 2007 |
| Youngest suiting company | 2021 |
Edge Cloud Computing refers to a distributed computing framework that brings enterprise applications closer to data sources such as IoT devices or local edge servers. This proximity reduces latency, improves speed, and enhances the processing of data-intensive applications by performing data processing at the edge of the network, closer to where the data is generated rather than relying solely on centralized data centers. By decentralizing the computing power, Edge Cloud Computing enables real-time data processing without significant delays, making it pivotal for applications requiring instant analysis and action, such as autonomous vehicles, smart cities, and real-time analytics. This approach not only alleviates the bandwidth pressure on the central server but also ensures a more efficient use of network resources, leading to improved user experiences and reduced operational costs. The scalability and flexibility offered by Edge Cloud Computing allow organizations to rapidly adapt to changing demands without the need for significant infrastructure overhaul. As a result, its impact is profoundly felt across various sectors, driving innovation and enabling smarter, more responsive services that align with the growing expectations for immediacy in the digital age. Through its capacity to process and analyze data locally, Edge Cloud Computing marks a significant shift in how data is managed and utilized, heralding a new era of efficiency and connectivity in the technological landscape.
1. Reduced Latency
Edge cloud computing brings data processing closer to the source of data generation, drastically minimizing the time it takes for data to travel between the server and the client. This proximity ensures real-time data processing and significantly enhances user experiences, especially in applications requiring instant feedback, such as augmented reality and autonomous vehicles.
2. Bandwidth Efficiency
By processing data locally rather than sending vast amounts of information back and forth to a centralized data center, edge computing effectively reduces the demand on bandwidth. This not only leads to cost savings on data transmission but also alleviates network congestion, ensuring smoother operation of connected devices and applications.
3. Enhanced Security
Edge computing can provide an added layer of security. Since data is processed locally on the device or nearby, it reduces the exposure of sensitive information to potential vulnerabilities across a wide network. Localized data processing means less data in transit and at rest, which can significantly decrease the risk of data breaches and cyber-attacks.
4. Scalability
With its decentralized nature, edge cloud computing allows businesses to scale their operations more flexibly. Instead of overhauling large, centralized data centers, companies can incrementally add or modify edge computing resources to meet evolving demands, making it easier and more cost-effective to manage growth.
While evaluating the different suppliers make sure to check the following criteria:
1. Latency
Consider suppliers that offer low latency solutions, as edge computing is designed to process data closer to the source, reducing delays.
2. Scalability
Choose a supplier that can scale its services to meet growing data demands without compromising performance.
3. Security
Ensure the supplier has robust security measures in place to protect data at the edge, including encryption and access controls.
4. Reliability
Opt for suppliers with a proven track record of reliability and uptime, as edge computing environments often support critical applications.
5. Compatibility
Select a supplier whose technology is compatible with your existing infrastructure to ensure seamless integration.
6. Cost-effectiveness
Evaluate the total cost of ownership, including setup, maintenance, and operational costs, to ensure it fits within your budget.
7. Support and Maintenance
Ensure the supplier offers comprehensive support and maintenance services to address potential issues promptly.
Manufacturing Sector In the manufacturing industry, edge cloud computing plays a crucial role in real-time data processing for predictive maintenance and quality control. By analyzing data directly at the source, manufacturers can detect anomalies early, reducing downtime and improving production efficiency. Retail Industry Retailers leverage edge cloud computing for enhanced customer experiences through personalized in-store services, such as targeted promotions and smart inventory management. This technology enables quick data processing, offering customers relevant information and services at the right time. Healthcare Services In healthcare, edge cloud computing supports telemedicine and remote patient monitoring by facilitating the immediate processing of patient data. This capability ensures timely medical interventions and improves patient outcomes by allowing healthcare professionals to make informed decisions swiftly. Smart Cities Initiatives Edge cloud computing underpins smart city applications by enabling the rapid analysis and response to data from IoT devices. Applications include traffic management systems that adjust in real-time to reduce congestion and environmental monitoring that promptly addresses pollution levels. Each of these use cases demonstrates how edge cloud computing serves as a pivotal technology across various sectors, driving efficiency, enhancing customer experiences, and improving decision-making processes.
Edge cloud computing, a paradigm that extends cloud computing and services to the edge of the network, is situated at a high Technology Readiness Level (TRL), approximately between 7 and 9. This advanced TRL reflects its successful demonstration in operational environments and the initiation of its integration into commercial products. The progression to this stage is underpinned by several technical advancements and validations. Firstly, the development of compact, yet powerful, computing hardware has enabled the deployment of edge computing nodes closer to data sources, drastically reducing latency compared to traditional centralized cloud services. Secondly, advancements in software technologies, including virtualization and containerization, have facilitated the efficient management and scaling of edge computing resources. Furthermore, the proliferation of Internet of Things (IoT) devices and the increasing demand for real-time processing and analytics in applications such as autonomous vehicles, smart cities, and healthcare monitoring have significantly driven the evolution and adoption of edge cloud computing. These technical factors collectively assert the high TRL of edge cloud computing, demonstrating its readiness for widespread implementation and signaling its potential to reshape our approach to data processing and service delivery in an increasingly connected world.
In the Short-Term, edge cloud computing is poised to enhance data processing speeds significantly. This phase will see a proliferation of localized data centers, reducing latency and bandwidth usage for IoT devices and mobile applications. The immediate focus will be on developing advanced edge computing solutions that can process and analyze data closer to its source, enabling real-time analytics and decision-making capabilities for industries such as manufacturing, healthcare, and retail. The Mid-Term phase will witness the integration of artificial intelligence and machine learning with edge cloud computing. This combination will empower devices with smarter processing capabilities, allowing for more sophisticated data analysis and predictive modeling at the edge. Expect to see edge devices becoming more autonomous, capable of making decisions without constant communication with central servers. This period will also see improvements in security protocols to protect the increasing amount of data processed at the edge. Looking into the Long-Term, edge cloud computing is expected to become the backbone of fully immersive digital experiences. Technologies such as augmented reality (AR) and virtual reality (VR) will benefit immensely from edge computing's ability to provide the necessary speed and efficiency for seamless, real-world integration. Additionally, the emergence of 6G networks during this phase will further enhance edge computing capabilities, paving the way for more innovative applications and services that are yet to be imagined.
