ESEC/FSE 2021 (series) / Industry Papers /
Effective Low Capacity Status Prediction for Cloud Systems
Fri 27 Aug 2021 16:20 - 16:25 - Architectures & Design—Cloud Computing 1 Chair(s): Luciano Baresi, Yu Kang
Sat 28 Aug 2021 04:20 - 04:25 - Architectures & Design—Cloud Computing 1 Chair(s): Yu Kang
Sat 28 Aug 2021 04:20 - 04:25 - Architectures & Design—Cloud Computing 1 Chair(s): Yu Kang
In cloud systems, an accurate capacity planning is very important for cloud provider to improve service availability. Traditional methods simply predicting ``when the available resources is exhausted'' are not effective due to customer demand fragmentation and platform allocation constraints. In this paper, we propose a novel prediction approach which proactively predicts the level of resource allocation failures from the perspective of low capacity status. By jointly considering the data from different sources in both time series form and static form, the proposed approach can make accurate LCS predictions in a complex and dynamic cloud environment, and thereby improve the service availability of cloud systems. The proposed approach is evaluated by real-world datasets collected from a large scale public cloud platform, and the results confirm its effectiveness.
Fri 27 AugDisplayed time zone: Athens change
Fri 27 Aug
Displayed time zone: Athens change
16:00 - 17:00 | Architectures & Design—Cloud Computing 1Research Papers / Industry Papers +12h Chair(s): Luciano Baresi Politecnico di Milano, Yu Kang Microsoft Research, Beijing, China | ||
16:00 10mPaper | An Empirical Study on Challenges of Application Development in Serverless Computing Research Papers Jinfeng Wen Peking University, Zhenpeng Chen Peking University, Yi Liu Peking University, Yiling Lou Purdue University, Yun Ma Peking University, Gang Huang Peking University, Xin Jin Peking University, Xuanzhe Liu Peking University DOI | ||
16:10 10mPaper | An Empirical Investigation of Practical Log Anomaly Detection for Online Service Systems Industry Papers Nengwen Zhao Tsinghua University, Honglin Wang BizSeer, Zeyan Li Tsinghua University, Xiao Peng China Everbright Bank, Gang Wang China Everbright Bank, Zhu Pan China Everbright Bank, Yong Wu China Everbright Bank, Zhen Feng China Everbright Bank, Xidao Wen Tsinghua University, Wenchi Zhang BizSeer, Kaixin Sui BizSeer, Dan Pei Tsinghua University DOI | ||
16:20 5mPaper | Effective Low Capacity Status Prediction for Cloud Systems Industry Papers Hang Dong Microsoft Research, Si Qin Microsoft Research, Yong Xu Microsoft Research, Bo Qiao Microsoft Research, Shandan Zhou Microsoft Azure, Xian Yang Hong Kong Baptist University, Chuan Luo Microsoft Research, Pu Zhao Microsoft Research, Qingwei Lin Microsoft Research, Hongyu Zhang University of Newcastle, Abulikemu Abuduweili Peking University, Sanjay Ramanujan Microsoft Azure, Karthikeyan Subramanian Microsoft Azure, Andrew Zhou Microsoft 365, Saravanakumar Rajmohan Microsoft 365, Dongmei Zhang Microsoft Research, Thomas Moscibroda Microsoft Azure DOI | ||
16:25 5mPaper | Intelligent Container Reallocation at Microsoft 365 Industry Papers Bo Qiao Microsoft Research, Fangkai Yang Microsoft Research, Chuan Luo Microsoft Research, Yanan Wang Microsoft 365, Johnny Li Microsoft 365, Qingwei Lin Microsoft Research, Hongyu Zhang University of Newcastle, Mohit Datta Microsoft 365, Andrew Zhou Microsoft 365, Thomas Moscibroda Microsoft Azure, Saravanakumar Rajmohan Microsoft 365, Dongmei Zhang Microsoft Research DOI | ||
16:30 30mLive Q&A | Q&A (Architectures & Design—Cloud Computing 1) Research Papers | ||
Sat 28 AugDisplayed time zone: Athens change
Sat 28 Aug
Displayed time zone: Athens change
04:00 - 05:00 | Architectures & Design—Cloud Computing 1Industry Papers / Research Papers Chair(s): Yu Kang Microsoft Research, Beijing, China | ||
04:00 10mPaper | An Empirical Study on Challenges of Application Development in Serverless Computing Research Papers Jinfeng Wen Peking University, Zhenpeng Chen Peking University, Yi Liu Peking University, Yiling Lou Purdue University, Yun Ma Peking University, Gang Huang Peking University, Xin Jin Peking University, Xuanzhe Liu Peking University DOI | ||
04:10 10mPaper | An Empirical Investigation of Practical Log Anomaly Detection for Online Service Systems Industry Papers Nengwen Zhao Tsinghua University, Honglin Wang BizSeer, Zeyan Li Tsinghua University, Xiao Peng China Everbright Bank, Gang Wang China Everbright Bank, Zhu Pan China Everbright Bank, Yong Wu China Everbright Bank, Zhen Feng China Everbright Bank, Xidao Wen Tsinghua University, Wenchi Zhang BizSeer, Kaixin Sui BizSeer, Dan Pei Tsinghua University DOI | ||
04:20 5mPaper | Effective Low Capacity Status Prediction for Cloud Systems Industry Papers Hang Dong Microsoft Research, Si Qin Microsoft Research, Yong Xu Microsoft Research, Bo Qiao Microsoft Research, Shandan Zhou Microsoft Azure, Xian Yang Hong Kong Baptist University, Chuan Luo Microsoft Research, Pu Zhao Microsoft Research, Qingwei Lin Microsoft Research, Hongyu Zhang University of Newcastle, Abulikemu Abuduweili Peking University, Sanjay Ramanujan Microsoft Azure, Karthikeyan Subramanian Microsoft Azure, Andrew Zhou Microsoft 365, Saravanakumar Rajmohan Microsoft 365, Dongmei Zhang Microsoft Research, Thomas Moscibroda Microsoft Azure DOI | ||
04:25 5mPaper | Intelligent Container Reallocation at Microsoft 365 Industry Papers Bo Qiao Microsoft Research, Fangkai Yang Microsoft Research, Chuan Luo Microsoft Research, Yanan Wang Microsoft 365, Johnny Li Microsoft 365, Qingwei Lin Microsoft Research, Hongyu Zhang University of Newcastle, Mohit Datta Microsoft 365, Andrew Zhou Microsoft 365, Thomas Moscibroda Microsoft Azure, Saravanakumar Rajmohan Microsoft 365, Dongmei Zhang Microsoft Research DOI | ||
04:30 30mLive Q&A | Q&A (Architectures & Design—Cloud Computing 1) Research Papers | ||