A Survey on Global Management View: Toward Combining System Monitoring, Resource Management, and Load Prediction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Link
http://link.springer.com/content/pdf/10.1007/s10723-018-09471-x.pdf
Reference80 articles.
1. Aaziz, O., Cook, J., Sharifi, H.: Push me pull you: Integrating opposing data transport modes for efficient hpc application monitoring. In: 2015 IEEE International Conference on Cluster Computing (CLUSTER). IEEE, pp. 674-681 (2015)
2. Aceto, G., Botta, A., De Donato, W., Pescapè, A.: Cloud monitoring: a survey. Comput. Netw. 57(9), 2093–2115 (2013)
3. Agarwala, S., Poellabauer, C., Kong, J., Schwan, K., Wolf, M.: System-level resource monitoring in high-performance computing environments. J. Grid. Comput. 1(3), 273–289 (2003)
4. Akbar, M.F., Munir, E.U., Rafique, M.M., Malik, Z., Khan, S.U., Yang, L.T.: List-based task scheduling for cloud computing. In: 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), pp. 652–659. https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2016.143 (2016)
5. Al-Ayyoub, M., Daraghmeh, M., Jararweh, Y., Althebyan, Q.: Towards improving resource management in cloud systems using a multi-agent framework. Int. J. Cloud Comput. 5(1-2), 112–133 (2016)
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