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Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Grid computing Engineering & Materials Science
Brain Engineering & Materials Science
Virtual Machine Mathematics
Servers Engineering & Materials Science
Data storage equipment Engineering & Materials Science
Cloud computing Engineering & Materials Science
Resource allocation Engineering & Materials Science
Containers Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1997 2019

  • 894 Citations
  • 15 h-Index
  • 49 Conference contribution
  • 13 Article
  • 2 Editorial
  • 1 Chapter

Evaluating Docker storage performance: from workloads to graph drivers

Tarasov, V., Rupprecht, L., Skourtis, D., Li, W., Rangaswami, R. & Zhao, M., Jan 1 2019, (Accepted/In press) In : Cluster Computing.

Research output: Contribution to journalArticle

Containers
Storage management
Information management

GFCache: A greedy failure cache considering failure recency and failure frequency for an erasure-coded storage system

Deng, M., Liu, F., Zhao, M., Chen, Z. & Xiao, N., Jan 1 2019, In : Computers, Materials and Continua. 58, 1, p. 153-167 15 p.

Research output: Contribution to journalArticle

Open Access
Storage System
Cache
Recovery
Caching
Hits
1 Citation (Scopus)

Are existing knowledge transfer techniques effective for deep learning on edge devices?

Sharma, R., Biookaghazadeh, S. & Zhao, M., Jun 11 2018, HPDC 2018 - Proceedings of The 27th International Symposium on High-Performance Parallel and Distributed Computing Posters/Doctoral Consortium. Association for Computing Machinery, Inc, p. 15-16 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Students
Artificial intelligence
Learning systems
Image recognition
Augmented reality
1 Citation (Scopus)

Are existing knowledge transfer techniques effective for deep learning with edge devices?

Sharma, R., Biookaghazadeh, S., Li, B. & Zhao, M., Sep 26 2018, Proceedings - 2018 IEEE International Conference on Edge Computing, EDGE 2018 - Part of the 2018 IEEE World Congress on Services. Institute of Electrical and Electronics Engineers Inc., p. 42-49 8 p. 8473375

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Knowledge Transfer
Students
Artificial intelligence
Learning systems
Artificial Intelligence

Cross-layer optimization for virtual machine resource management

Zhao, M., Wang, L., Lv, Y. & Xu, J., May 16 2018, Proceedings - 2018 IEEE International Conference on Cloud Engineering, IC2E 2018. Institute of Electrical and Electronics Engineers Inc., p. 90-98 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bandwidth
Resource allocation
Quality of service
Tuning
Virtual machine

Projects 2015 2019