On MinMax-Memory Claims for Scientific Workflows in the In-memory Cloud Computing
文献类型：会议论文
| 作者 | Yang Wang; Chengzhong Xu; Shuibing He; Xian-He Sun |
| 出版日期 | 2016 |
| 会议名称 | 2016 IEEE 36th International Conference on Distributed Computing Systems, ICDCS 2016 |
| 会议地点 | Nara, Japan |
| 英文摘要 | Abstract: We propose a new concept of minmax memory claim (MMC) to achieve cost-effective workflow computations in in-memory cloud computing environments. The minmax-memory claim is defined as the minimum amount of memory required to finish the workflow without compromising its maximum concurrency. With MMC, the workflow tenants can achieve the best performance via the maximum concurrency while minimizing the cost to use the memory resources. In this paper, we present the algorithms to find the MMC for workflow computation and evaluate its value by applying it to deadlock avoidance algorithms. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/10332]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | 2016 |
| 推荐引用方式 GB/T 7714 | Yang Wang,Chengzhong Xu,Shuibing He,et al. On MinMax-Memory Claims for Scientific Workflows in the In-memory Cloud Computing[C]. 见:2016 IEEE 36th International Conference on Distributed Computing Systems, ICDCS 2016. Nara, Japan. |
入库方式： OAI收割
来源：深圳先进技术研究院
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