QoS Ranking Prediction for Cloud Services

By Zibin Zheng, Xinmiao Wu, Yilei Zhang, Michael R. Lyu, Jianmin Wang. IEEE Transactions on Parallel and Distributed Systems, 2013

331 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/eeb74c3cf26298e310479c0e0c8ac8325c0ecb0c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Zalinda Othman
2. Sudip Misra
3. Amin Jula
4. Subhadeep Sarkar
5. Elankovan A. Sundararajan
6. Rajkumar Buyya
7. Lei Shu
8. Mithun Mukherjee

In Information Systems

1. Zalinda Othman
2. Amin Jula
3. Elankovan A. Sundararajan
4. Rajkumar Buyya
5. Lei Shu
6. Mithun Mukherjee
7. Di Wang
8. Md. Redowan Mahmud

Citations in the corpus

• Cloud computing service composition: A systematic literature review (2014, background): “Unfortunately, the number of datasets that are available to all and in the research domain is very low and is limited to three datasets, QWS (Al-Masri & Mahmoud, 2009), WS-DREAM (Zibin, Yilei, & Lyu, 2010) and tpds 2012 (Zibin et al., 2013), and an unknown randomly generated dataset RG (Shangguang e”
• Assessment of the Suitability of Fog Computing in the Context of Internet of Things (2018, background): “In [30], Zheng et al. proposed a QoS ranking framework to mitigate the service latency in scenarios of practical service invocations.”