  Dynamic Adaptive Streaming over HTTP(DASH) is becoming the defacto method for
effective video traffic delivery at large scale.Its primer success factor
returns to the full autonomy given to the streaming clients making them smarter
and enabling decentralized logic of video quality decision at granular video
chunks following a pull-based paradigm. However,the pure autonomy of the
clients inherently results in an overall selfish environment where each client
independently strives to improve its Quality of Experience (QoE).
Consequently,the clients will hurt each other,including themselves,due to their
limited scope of perception.This shortcoming could be addressed by employing a
mechanism that has a global view,hence could efficiently manage the available
resources.In this paper,we propose a game theoretical-based approach to address
the issue of the client's selfishness in multi-server setup,without affecting
its autonomy. Particularly,we employ the coalitional game framework to affect
the clients to the best server,ultimately to maximize the overall average
quality of the clients while preventing re-buffering.We validate our solution
through extensive experiments and showcase the effectiveness of the proposed
solution.
