  Conventional latency metrics are formulated based on a broad definition of
traditional monolithic services, and hence lack the capacity to address the
complexities inherent in modern services and distributed computing paradigms.
Consequently, their effectiveness in identifying areas for improvement is
restricted, falling short of providing a comprehensive evaluation of service
performance within the context of contemporary services and computing
paradigms. More specifically, these metrics do not offer insights into two
critical aspects of service performance: the frequency of latency surpassing
specified Service Level Agreement (SLA) thresholds and the time required for
latency to return to an acceptable level once the threshold is exceeded. This
limitation is quite significant in the frame of contemporary latency-sensitive
services, and especially immersive services that require deterministic low
latency that behaves in a consistent manner. Towards addressing this
limitation, the authors of this work propose 5 novel latency metrics that when
leveraged alongside the conventional latency metrics manage to provide advanced
insights that can be potentially used to improve service performance. The
validity and usefulness of the proposed metrics in the frame of providing
advanced insights into service performance is evaluated using a large-scale
experiment.
