TY - GEN
T1 - Cost-effective resource configuration for cloud video streaming services
AU - Jiang, Yunyun
AU - Ma, Xiaosong
AU - Chen, Wenguang
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/1/15
Y1 - 2016/1/15
N2 - Video streaming services are migrating to cloud environments for the economic expense with good scalability. However, cloud providers offer flexible resource configurations, e.g., on-demand, reserved and spot instances, with significant different pricing policies, of which one single configuration is suboptimal for cloud video streaming services. In this paper, we propose hybrid configuration schemes of cloud video streaming services to reduce the cost. To achieve this goal, we first introduce a lightweight prediction algorithm to predict the future video traffic. With the predicted video traffic, we then give the Hybrid-R hybrid configuration scheme by configuring both on-demand and reserved instances, and the Hybrid-RS hybrid configuration scheme by further configuring spot instances. Our evaluations using traces from real video service providers show that our configuration schemes can reduce cost by at least 20% compared to the unoptimized ones with negligible overhead.
AB - Video streaming services are migrating to cloud environments for the economic expense with good scalability. However, cloud providers offer flexible resource configurations, e.g., on-demand, reserved and spot instances, with significant different pricing policies, of which one single configuration is suboptimal for cloud video streaming services. In this paper, we propose hybrid configuration schemes of cloud video streaming services to reduce the cost. To achieve this goal, we first introduce a lightweight prediction algorithm to predict the future video traffic. With the predicted video traffic, we then give the Hybrid-R hybrid configuration scheme by configuring both on-demand and reserved instances, and the Hybrid-RS hybrid configuration scheme by further configuring spot instances. Our evaluations using traces from real video service providers show that our configuration schemes can reduce cost by at least 20% compared to the unoptimized ones with negligible overhead.
UR - http://www.scopus.com/inward/record.url?scp=84964643209&partnerID=8YFLogxK
U2 - 10.1109/ICPADS.2015.61
DO - 10.1109/ICPADS.2015.61
M3 - Conference contribution
AN - SCOPUS:84964643209
T3 - Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS
SP - 430
EP - 439
BT - Proceedings - 2015 IEEE 21st International Conference on Parallel and Distributed Systems, ICPADS 2015
PB - IEEE Computer Society
T2 - 21st IEEE International Conference on Parallel and Distributed Systems, ICPADS 2015
Y2 - 14 December 2015 through 17 December 2015
ER -