Search Results for author:
Found 8 papers, 2 papers with code
LL-GABR: Energy Efficient Live Video Streaming Using Reinforcement Learning
Over the recent years, research and development in adaptive bitrate (ABR) algorithms for live video streaming have been successful in improving users' quality of experience (QoE) by reducing latency to near real-time levels while delivering higher bitrate videos with minimal rebuffering time.
URegM: a unified prediction model of resource consumption for refactoring software smells in open source cloud
In this paper, we propose a framework called Unified Regression Modelling (URegM) which predicts the impact of code smell refactoring on cloud resource usage.
Predicting the Impact of Batch Refactoring Code Smells on Application Resource Consumption
Although automated batch refactoring techniques are known to significantly improve overall software quality and maintainability, their impact on resource utilization is not well studied.
A Reinforcement Learning Approach to Optimize Available Network Bandwidth Utilization
We also show that, unlike a greedy algorithm, our devised RL-based algorithm can avoid network congestion and fairly share the available network resources among contending transfers.
Software Sustainability: A Systematic Literature Review and Comprehensive Analysis
Based on the findings of this review, it is seen that both technical and non-technical sustainability aspects are equally important, taking one into contention and ignoring the other will threaten the sustenance of software products.
Design Smell Analysis for Developing and Established Open Source Java Software
Obtained results show that out of the 4, 020 occurrences of smells that were made for nine preselected types of design smells, 1, 643 design smells were detected for developing software, which mainly consisted of four specific types of smells.
OneDataShare: A Vision for Cloud-hosted Data Transfer Scheduling and Optimization as a Service
Fast, reliable, and efficient data transmission across wide-area networks is a predominant bottleneck for data-intensive cloud applications.
Distributed, Parallel, and Cluster Computing
WPaxos: Ruling the Archipelago with Fast Consensus
WPaxos is a multileader Paxos protocol that provides low-latency and high-throughput consensus across wide-area network (WAN) deployments.
Distributed, Parallel, and Cluster Computing
