Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Iso-Quality of Service: Fairly Ranking Servers for Real-Time Data
  Analytics   We present a mathematically rigorous Quality-of-Service (QoS) metric which
relates the achievable quality of service metric (QoS) for a real-time
analytics service to the server energy cost of offering the service. Using a
new iso-QoS evaluation methodology, we scale server resources to meet QoS
targets and directly rank the servers in terms of their energy-efficiency and
by extension cost of ownership. Our metric and method are platform-independent
and enable fair comparison of datacenter compute servers with significant
architectural diversity, including micro-servers. We deploy our metric and
methodology to compare three servers running financial option pricing workloads
on real-life market data. We find that server ranking is sensitive to data
inputs and desired QoS level and that although scale-out micro-servers can be
up to two times more energy-efficient than conventional heavyweight servers for
the same target QoS, they are still six times less energy efficient than
high-performance computational accelerators.

37
The categories of this paper are: supr-con
19
The categories of this paper are: eess
32
The categories of this paper are: atom-ph
36
The categories of this paper are: cmp-lg
17
The categories of this paper are: q-fin
2
The categories of this paper are: math
7
The categories of this paper are: hep-th
18
The categories of this paper are: econ
29
The categories of this paper are: funct-an
22
The categories of this paper are: chao-dyn
35
The categories of this paper are: mtrl-th
20
The categories of this paper are: acc-phys
23
The categories of this paper are: solv-int
30
The categories of this paper are: q-alg
16
The categories of this paper are: stat
0
The categories of this paper are: hep-ph