Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: High Volume Computing: Identifying and Characterizing Throughput
  Oriented Workloads in Data Centers   For the first time, this paper systematically identifies three categories of
throughput oriented workloads in data centers: services, data processing
applications, and interactive real-time applications, whose targets are to
increase the volume of throughput in terms of processed requests or data, or
supported maximum number of simultaneous subscribers, respectively, and we coin
a new term high volume computing (in short HVC) to describe those workloads and
data center computer systems designed for them. We characterize and compare HVC
with other computing paradigms, e.g., high throughput computing,
warehouse-scale computing, and cloud computing, in terms of levels, workloads,
metrics, coupling degree, data scales, and number of jobs or service instances.
We also preliminarily report our ongoing work on the metrics and benchmarks for
HVC systems, which is the foundation of designing innovative data center
computer systems for HVC workloads.

3
The categories of this paper are: physics
16
The categories of this paper are: stat
7
The categories of this paper are: hep-th
11
The categories of this paper are: hep-lat
9
The categories of this paper are: nlin
17
The categories of this paper are: q-fin
10
The categories of this paper are: q-bio
32
The categories of this paper are: atom-ph
34
The categories of this paper are: chem-ph
2
The categories of this paper are: math
35
The categories of this paper are: mtrl-th
20
The categories of this paper are: acc-phys
26
The categories of this paper are: bayes-an
15
The categories of this paper are: nucl-ex
23
The categories of this paper are: solv-int
18
The categories of this paper are: econ