Sharif Digital Repository

Non-Fungible Tokens (NFTs) are unique assets on the blockchain that prove ownership of various digital assets. Presently, a wide range of assets, such as digital art, music, tweets, and virtual assets in the metaverse, are being traded. Since there is no reliable standard for valuing NFTs, identifying criteria and correlations for their valuation and understanding the influence of social networks on these assets is crucial. Two key factors are identified in this process: (1) opinions, thoughts, and feedback from real individuals, and (2) the content of the token itself. Since these factors represent different types of data—textual and visual—two distinct analytical approaches are proposed.... 

In recent years, virtual reality (VR) and the Metaverse have gained increased attention in industry and exhibitions. However, rendering high-quality scenes demands significant computing power that cannot be directly handled by VR headsets. In this paper, we propose a novel approach to distribute rendering between Mobile Edge Computing (MEC) and cloud servers. Our method involves the cloud server predicting head positions in advance to reduce round-trip time, while the MEC server re-renders frames where the predicted head location is substantial. We evaluate this resource allocation scheme using two prediction methods: Kalman filter and LSTM Encoder-Decoder. By considering users’ preferred... 

This study addresses the challenge of optimizing computational task offloading in the metaverse—the next-generation human communication platform. The main objective is to guarantee user Quality of Experience (QoE) under strict computational and communication limits on end devices. To this end, a three-tier end–edge–cloud architecture is considered and the offloading process is modeled. To raise service quality, a task-prioritization strategy with hard and soft deadlines is adopted so that the on-time task completion rate is maximized while energy consumption on end devices is minimized. Since no comprehensive dataset that covers all scenarios is available, reinforcement learning is chosen...