The Science
Our teams are comprised of tenured experts with a focus on precision and academic integrity. We have written the papers that define the streaming industry and our technology is exact, our data is exceptional, and our innovation is proven. Understanding how to leverage the internet as a mass-scale video transport medium has positioned Conviva to be the architect of great streaming experiences.
The Patents
2012
2013
Switching content
Centrally coordinated peer assignment
Detecting problems in content distribution
Data client
2014
Delivering a video stream
Accounting for network traffic
Distributing information over a network
Monitoring the performance of a content player
Detecting problems in content distribution
2015
Accounting for network traffic
Augmenting the functionality of a content player
Delivering a video stream
Data client
Monitoring the performance of a content player
Switching content
2016
Detecting problems in content distribution
Source assignment based on network partitioning
Managing synchronized data requests in a content delivery network
Distributing information over a network
Reassigning source peers
Accounting for network traffic
2017
Allocating resources in a content delivery environment
Dynamic generation of video manifest files
Data client
Delivering a video stream
Dynamic client logging and reporting
2018
Monitoring the performance of a content player
Augmenting the functionality of a content player
Monitoring the performance of a content player
Custom video metrics management platform
Custom traffic tagging on the control plane backend
Distributing information over a network
Dynamic generation of video manifest files
Remediation of the impact of detected synchronized data requests in a content delivery network
2019
Dynamic bitrate range selection in the cloud for optimized video streaming
Virtual resource locator
Centrally coordinated peer assignment
Streaming decision in the cloud
Network insights
Switching content
Switching content
Reassigning source peers
2020
Fault isolation in over-the-top content (OTT) broadband networks
Custom traffic tagging on the control plane backed
Custom video metrics management platform
Pre-viewer engagement-based video optimization
Correlating playback information of video segments
Network insights
Virtual resource locator
Dynamic bitrate range selection in the cloud for optimized video streaming
Facilitating client decisions
Source assignment based on network partitioning
2021
Streaming decision in the cloud
Dynamic client logging and reporting
Advertising engine
Automatic diagnostics alerts
2022
Advanced Resource Selection
Remote multi-target client monitoring for streaming content
Automatic diagnostics alerts for streaming content encoded by multiple entities
Correlating playback information of video segments
Fast Direct Resource Allocation Identifier
The Academic Papers
Time-State Analytics
Our recent academic paper, presented at CIDR 2023, posits that while our Timeline method of measuring streaming video has been incredibly successful the Timeline abstraction method is generally applicable across many more domains and enables new opportunities for further research.
Raising the Level of Abstraction for Time-State Analytics
Video AI Architecture
Our most recent academic research has been centered around artificial intelligence–specifically, artificial intelligence models for better understanding video on the Internet.
Understanding the Impact of Video Quality on User Engagement – Winner ACMSIGCOMM’s 2022 Test of Time Award
Redesigning CDN-broker interactions for improved content delivery
Oboe: Auto-tuning video ABR algorithms to network conditions
A Case for a Coordinated Internet-Scale Video Control Plane
Developing a Predictive Model of Quality of Experience for Internet Video
C3: Internet-Scale Control Plane for Video Quality Optimization
CFA: A Practical Prediction System for Video QoE Optimization
Software-Defined Networks and Intelligent Network Control
Dr. Zhang and Dr. Stoica have worked on new network architectures that enable direct control for routing data traffic, supporting network-level objectives, and providing network-wide visibility.
A Case for End System Multicast
Tesseract: A 4D Network Control Plane
Big Data and Cloud Computing
Dr. Stoica’s research group at the University of California, Berkeley has done pioneering research on building large-scale, real-time cluster computing frameworks, and on enabling multiple frameworks such as Hadoop and Hypertable, to seamlessly share the same cluster.
A Common Substrate for Cluster Computing
Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing
Improving MapReduce Performance in Heterogeneous Environments
Shark: SQL and Rich Analytics at Scale
Scalable Management and Delivery Systems
Dr. Zhang’s End System Multicast (ESM) research group at Carnegie Mellon pioneered the overlay multicast architecture and techniques to support scalable internet video streaming. The award-winning Ph.D. dissertation of Dr. Ion Stoica, co-founder and chief technical officer, pioneered the first scalable architecture to manage quality of service states in a distributed networking environment.
Chord: A Scalable Peer-to-Peer Lookup Protocol for Internet Applications
Stateless Core: A Scalable Approach for Quality of Service in the Internet
Early Experience with an Internet Broadcast System Based on Overlay Multicast
The Impact of DHT Routing Geometry on Resilience and Proximity
Viewer Experience Optimization
Our award-winning teams of engineers and scientists have discovered and validated the need for a preemptive viewer experience optimization tool that quantifies and validates video quality impact on viewer engagement.
Impact of Delivery Ecosystem Variability and Diversity on Internet Video Quality
Service Disciplines for Packet-Switching Integrated-Services Networks
Improving Fairness, Efficiency and Stability in HTTP-Based Adaptive Video Streaming with Festive
The Awards
