The Ethics of AI: Addressing Bias, Privacy, and Accountability
Artificial intelligence (AI) has become an integral part of modern life, from the algorithms that curate our social media feeds to the systems that make
Glossary of terms
A cloudlet is a small-scale, localized data center or cloud computing infrastructure located at the edge of the network, typically closer to end-users and mobile devices. It serves as an intermediate layer between mobile devices and the central cloud, providing low-latency access to computing resources and services.
1. Proximity: Cloudlets are deployed close to end-users, reducing network latency and improving response times.
2. Resource-rich: They offer significant computing power, storage, and network resources compared to mobile devices.
3. Low latency: Due to their proximity, cloudlets provide faster access to computing resources than distant cloud data centers.
4. Offloading capabilities: They allow mobile devices to offload computation-intensive tasks, conserving battery life and improving performance.
5. Virtualization: Cloudlets use virtualization technologies to create isolated environments for different applications and users.
6. Mobility support: They can handle the mobility of users and devices, ensuring seamless service continuity.
7. Context awareness: Cloudlets can adapt to local conditions and user contexts for improved service delivery.
8. Scalability: They can scale resources up or down based on demand, similar to cloud computing.
1. Edge computing: Cloudlets are a key component in edge computing architectures, bringing computing resources closer to the data source and users.
2. Mobile cloud computing: They enhance mobile applications by providing nearby computing resources for offloading tasks.
3. Internet of Things (IoT): Cloudlets can process and analyze data from IoT devices locally, reducing the need for constant communication with the central cloud.
4. Augmented and Virtual Reality: They support low-latency processing for AR/VR applications, improving user experience.
5. Smart cities and urban computing: Cloudlets can be deployed throughout cities to support various smart city applications and services.
6. Tactical and emergency response: They can provide localized computing resources in areas with limited or unreliable network connectivity.
7. Content delivery: Cloudlets can cache and serve content locally, reducing bandwidth usage and improving delivery speeds.
8. Privacy and security: By processing sensitive data locally, cloudlets can help address privacy concerns and comply with data localization requirements.
9. 5G and beyond: Cloudlets play a crucial role in supporting the low-latency requirements of 5G and future network technologies.
10. Industry 4.0: They support real-time data processing and analysis for industrial IoT applications and smart manufacturing.
Artificial intelligence (AI) has become an integral part of modern life, from the algorithms that curate our social media feeds to the systems that make
In today’s fast-paced digital world, cloud automation has rapidly evolved from a cutting-edge innovation to an essential component of modern business operations. As companies increasingly
Businesses need reliable and efficient management of information flows to operate. Data collection, storage, and management require a well-developed infrastructure with workstations, database servers, storage nodes and networks, engineering networks, and data transmission networks. Building such an infrastructure requires serious start-up investments and ongoing maintenance costs. Using cloud network technology eliminates most of these problems. So what is cloud technology?