###### Abstract  
In the context of the rapid development of edge computing, optimizing data transmission and reducing latency is crucial for efficient collaborative processing among edge servers. Traditional TCP/IP protocols are hindered by high latency and low throughput, while RDMA (Remote Direct Memory Access) technology addresses these challenges by enabling direct memory access and bypassing the operating system kernel. However, the RDMA data transmission mechanism based on sliding windows requires frequent memory status exchanges in the order of memory blocks, which can limit its ability to handle multiple concurrent tasks within a single Queue Pair (QP). To address the limitations of the traditional sliding window transmission mechanism in multi-task environments, we propose a novel RDMA data transmission mechanism that utilizes status bytes to indicate memory block utilization, which utilizes stateless server connections, and multi-task shared QP transmission strategies. In the proposed mechanism, fine-grained control over memory blocks is achieved through the status byte, thereby enabling effective multi-task real-time video stream transmission. Experimental results show that, compared to the sliding window method, the proposed status-byte-assisted RDMA transmission mechanism provides higher throughput, lower latency, and reduced resource consumption, thus enhancing system scalability and reducing CPU utilization. Moreover, this mechanism achieves more stable throughput than the sliding window method when transmitting multiple real-time video streams in edge computing scenarios, making it particularly suitable for data transmission in such environments. RDMA; sliding window; shared QP; multitasking; status byte; data transmission +
Footnote †: journal: Applied  
nodes by bypassing the operating system kernel. This approach substantially reduces transmission latency and CPU resource consumption, making RDMA a powerful tool for addressing data transmission bottlenecks in edge computing. Despite the notable advantages of RDMA in enhancing data transmission performance, the existing RDMA data transmission mechanisms still face several challenges in practical applications. Most current work primarily exploits RDMA's unilateral operation feature to accelerate data transmission without further optimization, and RDMA NICs face scalability issues [5; 6; 7; 8; 9; 10]. Furthermore, the existing RDMA technologies show limitations in multitasking transmissions and resource management, particularly when supporting multiple tasks within a single QP. For example, the sliding window transmission mechanism proposed by [PERSON] et al. [11] requires frequent exchanges of memory status during data transmissions to prevent memory overwriting or reading invalid data. Additionally, since it uses only two pointers to indicate the status of all memory blocks, it limits flexible manipulation of memory blocks and lacks robust support for multitasking transmissions within a single QP. To further optimize resource scheduling and data processing in edge computing environments, container technology, along with Kubernetes (K88) [12; 13], has been introduced. Kubernetes is used to manage containers, automating their deployment, scaling, and operation. As the smallest unit of processing, containers can flexibly and efficiently manage and allocate computing resources while ensuring resource isolation, allowing edge servers to collaborate more effectively in handling complex business processes. The contributions of this paper can be summarized as follows. Firstly, we propose the use of status bytes to indicate the status of all memory blocks and introduce a novel status-byte-assisted RDMA transmission mechanism that addresses the limitations of the traditional sliding window mechanism. The proposed transmission mechanism optimizes data transmission and provides synchronization methods for the transmission of multiple data streams, and thus provides higher throughput, lower latency, and reduced resource consumption.