Author:
Hu Zhigang,Li Jia,Zheng Meiguang,Zhang Xinxin,Kang Hui,Tao Yong,Yang Jiao
Reference22 articles.
1. Chen, C.L.P., Zhang, C.Y.: Data-intensive applications, challenges, techniques and technologies: a survey on Big Data. Inf. Sci. 275, 314–347 (2014)
2. Armbrust, M., Fox, A., Griffith, R.: A view of cloud computing. Commun. ACM 53(4), 50–58 (2010)
3. Gong, X., Jin, C.Q., Wang, X.L.: Data-intensive science and engineer: requirements and challenges. J. Comput. Sci. 35(8), 1563–1578 (2012)
4. Topcuoglu, H., Hariri, S., Wu, M.: Performance-effective and low-complexity task scheduling for heterogeneous computing. IEEE Trans. Parallel Distrib. Syst. 13(3), 260–274 (2002)
5. Xiao, P., Hu, Z.G., Qu, X.L.: Energy-aware scheduling policy for data-intensive workflow. J. Commun. 36(1), 17-2015017 (2015)