A Federated System for MapReduce-Based Video Transcoding to Face the Future Massive Video-Selfie Sharing Trend

Author:

Panarello Alfonso,Celesti Antonio,Fazio Maria,Puliafito Antonio,Villari Massimo

Publisher

Springer International Publishing

Reference17 articles.

1. Panarello, A., Celesti, A., Fazio, M., Villari, M., Puliafito, A.: A requirements analysis for IaaS cloud federation. In: 4th International Conference on Cloud Computing and Services Science, Barcelona (2014)

2. Yuan, Y., Wang, H., Wang, D., Liu, J.: On interference-aware provisioning for cloud-based big data processing. In: 2013 IEEE/ACM 21st International Symposium on Quality of Service (IWQoS), pp. 1–6 (2013)

3. Gahlawat, M., Sharma, P.: Survey of virtual machine placement in federated clouds. In: IEEE IACC 2014, pp. 735–738 (2014)

4. Gandhi, R., Xie, D., Hu, Y.C.: Pikachu: how to rebalance load in optimizing MapReduce on heterogeneous clusters. In: USENIX ATC 2013, pp. 61–66. USENIX Association, Berkeley (2013)

5. Tang, Z., Jiang, L., Zhou, J., Li, K., Li, K.: A self-adaptive scheduling algorithm for reduce start time. Futur. Gener. Comput. Syst. 43–44, 51–60 (2015)

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