Big data analytics for large-scale wireless networks: Challenges and opportunities

HN Dai, RCW Wong, H Wang, Z Zheng… - ACM Computing …, 2019 - dl.acm.org
The wide proliferation of various wireless communication systems and wireless devices has
led to the arrival of big data era in large-scale wireless networks. Big data of large-scale …

A survey of user profiling: State-of-the-art, challenges, and solutions

CI Eke, AA Norman, L Shuib, HF Nweke - IEEE Access, 2019 - ieeexplore.ieee.org
Advancements in information and communication technology, and online web users have
given attention to the virtual representation of each user, which is crucial for effective service …

A survey on data analysis on large-Scale wireless networks: online stream processing, trends, and challenges

DSV Medeiros, HN Cunha Neto, MA Lopez… - Journal of Internet …, 2020 - Springer
In this paper we focus on knowledge extraction from large-scale wireless networks through
stream processing. We present the primary methods for sampling, data collection, and …

Loggrep: Fast and cheap cloud log storage by exploiting both static and runtime patterns

J Wei, G Zhang, J Chen, Y Wang, W Zheng… - Proceedings of the …, 2023 - dl.acm.org
In cloud systems, near-line logs are mainly used for debugging, which means they prefer a
low query latency for a better user experience, and like any other logs, they also prefer a low …

On the feasibility of parser-based log compression in {Large-Scale} cloud systems

J Wei, G Zhang, Y Wang, Z Liu, Z Zhu, J Chen… - … USENIX Conference on …, 2021 - usenix.org
On the Feasibility of Parser-based Log Compression in Large-Scale Cloud Systems Page 1
This paper is included in the Proceedings of the 19th USENIX Conference on File and …

A Review of User Profiling Based on Social Networks

W Wu, M Ghazali, SH Huspi - IEEE Access, 2024 - ieeexplore.ieee.org
The rapid development of the internet and smartphones has enabled people to access
numerous information systems and large volumes of data. User profiling technology can …

Flowchecker: Detecting bugs in mpi libraries via message flow checking

Z Chen, Q Gao, W Zhang, F Qin - SC'10: Proceedings of the …, 2010 - ieeexplore.ieee.org
Many MPI libraries have suffered from software bugs, which severely impact the productivity
of a large number of users. This paper presents a new method called FlowChecker for …

Exploiting Data-pattern-aware Vertical Partitioning to Achieve Fast and Low-cost Cloud Log Storage

J Wei, G Zhang, J Chen, Y Wang, W Zheng… - ACM Transactions on …, 2024 - dl.acm.org
Cloud logs can be categorized into on-line, off-line, and near-line logs based on the access
frequency. Among them, near-line logs are mainly used for debugging, which means they …

Mining user trajectories from smartphone data considering data uncertainty

YC Chen, ET Wang, ALP Chen - … 2016, Porto, Portugal, September 6-8 …, 2016 - Springer
Wi-Fi hot spots have quickly increased in recent years. Accordingly, discovering user
positions by using Wi-Fi fingerprints has attracted much research attention. Wi-Fi fingerprints …

User profiling with campus Wi-Fi access trace and network traffic

Y Gao, J Tao, L Zeng, X Fang… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
The campus Wi-Fi access trace is usually recorded when the users log in the campus Wi-Fi
and access Internet. The network traffic, which records the users' network access information …