This paper addresses the issues of fairness, efficiency, and stability in HTTP-based adaptive video streaming, particularly when multiple players share a bottleneck link. The authors identify the root causes of these problems through an abstract player model and propose a suite of techniques to guide the trade-offs between these three metrics. They develop the FESTIVE (Fair, Efficient, Stable, adaptTIVE) algorithm, which includes randomized chunk scheduling, stateful bitrate selection, delayed updates, and a harmonic bandwidth estimator. The FESTIVE algorithm is implemented using the Open Source Media Framework (OSMF) and evaluated against real and emulated commercial players. The results show that FESTIVE significantly outperforms existing players in terms of fairness, stability, and efficiency across various experimental scenarios. The paper also provides a detailed analysis of the components of FESTIVE and their effectiveness in improving video streaming performance.This paper addresses the issues of fairness, efficiency, and stability in HTTP-based adaptive video streaming, particularly when multiple players share a bottleneck link. The authors identify the root causes of these problems through an abstract player model and propose a suite of techniques to guide the trade-offs between these three metrics. They develop the FESTIVE (Fair, Efficient, Stable, adaptTIVE) algorithm, which includes randomized chunk scheduling, stateful bitrate selection, delayed updates, and a harmonic bandwidth estimator. The FESTIVE algorithm is implemented using the Open Source Media Framework (OSMF) and evaluated against real and emulated commercial players. The results show that FESTIVE significantly outperforms existing players in terms of fairness, stability, and efficiency across various experimental scenarios. The paper also provides a detailed analysis of the components of FESTIVE and their effectiveness in improving video streaming performance.