Behzad Akbari

ACTBR: Safety-Projected Adaptive Bitrate and Logical Chunk-Duration Control for HTTP Adaptive Streaming

Yeganeh Chatri, Behzad Akbari

Source code, experimental configurations, tests, analysis scripts, processed experimental results, model checkpoints, and reproducibility artifacts associated with the manuscript “ACTBR: Safety-Projected Adaptive Bitrate and Logical Chunk-Duration Control for HTTP Adaptive Streaming.”

ir (code pays fourni par la source)

ACTBR: Safety-Projected Adaptive Bitrate and Logical Chunk-Duration Control for HTTP Adaptive Streaming

Yeganeh Chatri, Behzad Akbari

Source code, experimental configurations, tests, analysis scripts, processed experimental results, model checkpoints, and reproducibility artifacts associated with the manuscript “ACTBR: Safety-Projected Adaptive Bitrate and Logical Chunk-Duration Control for HTTP Adaptive Streaming.”

ir (code pays fourni par la source)

ProCAVE: A Self-Adaptive, Full-Lifecycle Edge Caching Framework for Video Streaming via Predictive Bandwidth Estimation and Preference-Aware Deep Reinforcement Learning

Yeganeh Chatri, Behzad Akbari, Foad Ghaderi, Pejman Goudarzi

The growing demand for mobile video streaming requires edge delivery systems that adapt efficiently to rapid network fluctuations and diverse user preferences. Existing approaches such as FlyCache rely on reactive ABR heuristics and loosely coupled cache policies, limiting their responsiveness and coordination …

ProCAVE: A Self-Adaptive, Full-Lifecycle Edge Caching Framework for Video Streaming via Predictive Bandwidth Estimation and Preference-Aware Deep Reinforcement Learning

Yeganeh Chatri, Behzad Akbari, Foad Ghaderi, Pejman Goudarzi

The growing demand for mobile video streaming requires edge delivery systems that adapt efficiently to rapid network fluctuations and diverse user preferences. Existing approaches such as FlyCache rely on reactive ABR heuristics and loosely coupled cache policies, limiting their responsiveness and coordination …

ir, ca (code pays fourni par la source)

From voltage to vulnerability: A comprehensive survey of dynamic security risk assessment techniques in smart grids

Mojtaba Arjmand, Behzad Akbari, Hamid Reza Ghaeini

ir (code pays fourni par la source)

Priority-Aware Resource Reallocation in Edge Computing Using Reinforcement Learning

Behzad Akbari

ir (code pays fourni par la source)

From Voltage to Vulnerability: A Survey of Dynamic Security Risk Assessment Techniques in Smart Grids

Mojtaba Arjmand, Behzad Akbari, Hamid Reza Ghaeini

ir (code pays fourni par la source)

Priority-Aware Resource Reallocation in Edge Computing Using Reinforcement Learning

Behzad Akbari

ir (code pays fourni par la source)

Investigating the Impact of Chunk Time on Video Streaming Performance in TCP-Based Networks

Yeganeh Chatri, Behzad Akbari, Pejman Goudarzi

The exponential increase in video traffic on the Internet has generated a heightened demand for efficient video streaming solutions. HTTP Adaptive Streaming (HAS) has emerged as a viable strategy, facilitating dynamic quality adaptation in response to fluctuating network conditions. In HAS, media …

ir (code pays fourni par la source)

A New Data Delivery Approach for Blockchain Based on NDN

Shah Jahan Sirat, Sadegh Dorri Nogoorani, Behzad Akbari

Blockchain is considered to be a disruptive technology that can revolutionize many existing technologies. However, it still has not been matured and needs improvements especially in scalability and network overhead. In particular, IP-based blockchain networks often suffer from excessive overhead and repetitiveness. …

ir (code pays fourni par la source)

Intelligent and Decentralized Resource Allocation in Vehicular Edge Computing Networks

Elham Karimi, Yuanzhu Chen, Behzad Akbari

With the rise of intelligent transportation systems and the increasing diversity of vehicular applications, such as safety-related features, parking navigation, and multimedia applications, vehicular edge computing has garnered significant attention. However, managing task offloading efficiently to meet the demands of various tasks …

ca, ir (code pays fourni par la source)

CBS: A Deep Learning Approach for Encrypted Traffic Classification With Mixed Spatio-Temporal and Statistical Features

Mehdi Seydali, Farshad Khunjush, Behzad Akbari, Javad Dogani

With the rapid advancement of the internet and online applications, traffic classification has become an increasingly significant topic in computer networks. Managing network resources, improving service quality, and enhancing cybersecurity are critical. Due to traffic encryption techniques, traditional traffic classification approaches have …

ir (code pays fourni par la source)