Cloud-Assisted Grey Wolf Optimization for Dynamic Workload Allocation in Real-Time Video Conferencing Systems

The growing need of real-time and high-quality video conferencing demands intelligent management of resources to provide a seamless communication under different network and computational environments. Cloud computing is particularly important in the modern deployments in that it offers elastic, virtualized resources that can be used to offer scalable and on-demand video conferencing services. This paper suggests a dynamic workload allocation model that applies the principles of Grey Wolf Optimization (GWO) to allocate workloads in the cloud computing system in order to maximize the efficiency of the service and Quality of Service (QoS). The proposed cloud-aided system will have the capability of dynamically allocating the load of conferencing workloads within the virtualized cloud resources to manage the changes in user demand and network fluctuations. Data collection entails the recording of multimodal information of audio, video, and network parameters of benchmarking sets and live conference streams. Preprocessing involves reduction of noise, frame synchronization and normalization of resolution so that there are a uniform data representation. Spatiotemporal analysis is used in feature extraction to explain the movement dynamics, speech clarity, and bandwidth consumption. Video quality and cloud resource allocation requirements are classified through Support Vector Machine (SVM) and GWO to use the best parameters, which is tuned with GWO. Measures used to determine the performance include accuracy (95.8%), latency (120 ms), Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM) and packet loss rate. The experimental outcomes prove the proposed cloud-based GWO workload allocation strategy shows the significant enhancement of real-time responsiveness, scalability, and quality of the video, and ensures the quality of the reliable communication under dynamical and high-load-based situational conferencing