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Advisor(s)
Abstract(s)
Performance anomalies represent one common type
of failures in Internet servers. Overcoming these failures without
introducing server downtimes is of the utmost importance in
video-streaming services. These services have large user abandon-
ment costs when failures occur after users watch a significant part
of a video. Reboot is the most popular and effective technique for
overcoming performance anomalies but it takes several minutes
from start until the server is warmed-up again to run at its
full capacity. During that period, the server is unavailable or
provides limited capacity to process end-users’ requests. This
paper presents a recovery technique for performance anomalies
in HTTP Streaming services, which relies on Container-based
Virtualization to implement an efficient multi-phase server reboot
technique that minimizes the service downtime. The recovery
process includes analysis of variance of request-response times
to delimit the server warm-up period, after which the server
is running at its full capacity. Experimental results show that
the Virtual Container recovery process completes in
72
seconds,
which contrasts with the
434
seconds required for full operating
system recovery. Both recovery types generate service downtimes
imperceptible to end-users.
Description
Keywords
Video-Streaming Performance anomalies
Citation
Cunha, Carlos Augusto da Silva; Silva, Luis M. e. Reboot-based Recovery of Performance Anomalies in Adaptive Bitrate Video-Streaming Services, Trabalho apresentado em The 21th IEEE Pacific Rim International Symposium on Dependable Computing, In The 21th IEEE Pacific Rim International Symposium on Dependable Computing, Zhangjiajie, 2015.