Container-Based Job Management for Fair Resource Sharing
文献类型：会议论文
| 作者 | Hong jue; Balaji Pavan; Wen gaojin; Tu bibo; Yan junming; Xu chengzhong; Feng shengzhong |
| 出版日期 | 2013 |
| 会议名称 | 28th International Supercomputing Conference on Supercomputing, ISC 2013 |
| 会议地点 | Dallas, Texas |
| 英文摘要 | Achieving fair resource sharing is rapidly becoming an essential requirement in cluster computing systems. Although many fair scheduling algorithms have been proposed in recent decades, controlling resource sharing among jobs on servers remains a challenging problem that, if not handled well, may result in chaoticresource contention and service-level agreement violation of jobs. To address this problem, we propose a resource container-based job management approach forfair resource sharing. In our approach, we first design and implement a general container-based job management module, providing lightweight and fine-grainedresource allocation and isolation for job execution. With this module, we propose a resource-aware management scheme to enable fair resource sharing in jobscheduling and dispatching. We conduct experiments by implementing the proposed module and applying the scheme on TCluster, a self-developed cluster computing system of a worldwide top Internet corporation. Results show that our approach performs well in guaranteeing fair resource sharing with negligible overhead. © 2013 Springer-Verlag.(28 refs) |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/5127]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | 2013 |
| 推荐引用方式 GB/T 7714 | Hong jue,Balaji Pavan,Wen gaojin,et al. Container-Based Job Management for Fair Resource Sharing[C]. 见:28th International Supercomputing Conference on Supercomputing, ISC 2013. Dallas, Texas. |
入库方式： OAI收割
来源：深圳先进技术研究院
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