Name
Title | ||
|---|---|---|
High Volume Throughput Computing: Identifying and Characterizing Throughput Oriented Workloads in Data Centers |
Abstract | ||
|---|---|---|
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 coins a new term high volume throughput computing (in short HVC) to describe those workloads and data center 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 systems for HVC workloads. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/IPDPSW.2012.213 | Parallel and Distributed Processing Symposium Workshops & PhD Forum |
Keywords | DocType | Volume |
characterizing throughput oriented workloads,data center systems,interactive real-time applications,computer centres,computing paradigm,web services,data scale,levels,high volume throughput computing,high volume,hvc system,throughput-oriented workload identification,software metrics,metrics,data center,high-volume throughput computing,data processing applications,data center system design,request processing,throughput oriented workload-characterization,data centers,benchmarks,throughput computing,warehouse-scale computing,hvc,innovative data center system,job number,interactive systems,high throughput computing,data scales,cloud computing,throughput oriented workloads,coupling degree,service instance number,data center system,distributed databases,measurement,real time systems,benchmark testing,throughput,data processing | Conference | abs/1202.6134 |
ISSN | ISBN | Citations |
2164-7062 | 978-1-4673-0974-5 | 18 |
PageRank | References | Authors |
1.54 | 27 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianfeng Zhan | 1 | 767 | 62.86 |
| Lixin Zhang | 2 | 571 | 45.96 |
| SUN Ning-Hui | 3 | 1268 | 97.37 |
| Lei Wang | 4 | 577 | 46.85 |
| Zhen Jia | 5 | 338 | 17.82 |
| Chunjie Luo | 6 | 434 | 21.86 |