Technical Foundations of APhone
Last updated
Last updated
Cloud Computing Foundations
Cloud computing centralizes on simplifying complex infrastructure into manageable services using data centers with extensive server farms, ensuring robustness, scalability, and high availability. It emphasizes dynamic resource allocation and scalability, adjusting resources in real-time according to demand, maximizing efficiency and reducing waste.
Virtualization Technology
Virtualization is the process of creating virtual replicas of physical elements like computer hardware, storage devices, and network resources, using software to simulate hardware and establish virtual systems.
Containers and Portability
Containers quickly start by utilizing the host's system kernel, eliminating the boot time and resource usage typical of virtual machine start-ups, allowing container instances to launch in seconds. They offer portability by encapsulating the entire runtime environment of a cloud instance, including the application, its dependencies, class libraries, binaries, and configuration files in a container image, ensuring robust and reliable application transfer across different environments.
Hypervisors and Containers
Hypervisor: A software layer that allows multiple operating systems to share a single hardware host. Each operating system appears to have the host's processor, memory, and other resources all to itself. The hypervisor controls the host processor and resources, distributing them as needed.
Type 1 Hypervisors: Run directly on the host's hardware.
Type 2 Hypervisors: Run on a conventional operating system.
Containers: Unlike VMs (virtual machines), which virtualize the entire system, containers virtualize only the operating system. They are isolated, but share the OS kernel and, where appropriate, binaries and libraries.
GPU Hardware Encoder Technology
GPU hardware encoder: In the Aethir ARM server, GPUs are integrated on the server board to achieve hard video encoding and decoding capabilities
Combination of hardware and software encoding technology: Specially designed for the integration of software and hardware in cloud mobile scenarios, it uses unique video streaming management technology and uses the intra-frame compression and inter-frame compression algorithms of the H.264/H.265 protocol to encode video data into a smaller video stream, which not only has excellent performance, but also consumes very little CPU resources.
Excellent performance: The video resolution supports 1080*1920; Video frame rate> 60FPS (Frame Per Second); Video bitrate > 8192Kbps (Kilobits Per Second)
Network Transmission
Advanced Data Transfer Techniques:
Data Compression: Utilizing algorithms to reduce the size of data packets transmitted between cloud servers and clients.
Protocol Optimization: Choosing efficient protocols (like TCP/IP, HTTP/2) to enhance data transmission speeds and reliability.
Latency Reduction Strategies:
Content Delivery Networks (CDNs): Distribute content closer to users to minimize latency.
Edge Computing: Processes data at the edge of the network, closer to where it's being generated, reducing the need to send data back and forth to the cloud.
User Interface
Client-Side Technologies: Developing user interfaces for cloud mobile services requires an understanding of various client-side technologies such as HTML5, CSS3, and JavaScript for web applications, as well as platform-specific languages for native mobile apps (Swift for iOS, Kotlin for Android).
Responsive and Adaptive Design:
Ensuring that applications are responsive to different screen sizes and orientations is crucial for user experience.
Employing adaptive design to tailor content and functionality for different devices and contexts.
Accessibility and Inclusiveness:
Implementing features like screen reader support, alternative text for images, and voice navigation to ensure accessibility for all users, including those with disabilities.
Adherence to international accessibility standards like the WCAG (Web Content Accessibility Guidelines).
Cloud Mobile Engine
Device virtualization: camera, microphone, GPS, gyroscope, etc.
Audio and video encoding: software and hardware encoders to achieve high image quality, high efficiency and low resource occupation;
Network transmission: to achieve the balance of image quality, latency and fluency. It adopts the adaptive transmission algorithm, using the hybrid FEC and intelligent ARQ strategy. It can resist network jitters, and maintain the real-time performance of media data low-latency transmission.
Audio and video decoding: adaptation and optimization decoder for different mobile devices;
Input control synchronization: adapt to the control mode of different terminal devices, and support multi-screen interaction with same cloud mobile device;
