activity
20042021
most citedFog Computing: Survey of Trends, Architectures, Requirements, and Research Directions

569 citations · 2k across the 46 of their papers we have counts for

collaborators

50 papers

eess.SP2021★ 28 cited

Evaluating Sensor Data Quality in Internet ofThings Smart Agriculture Applications

Kaneez Fizza, Prem Prakash Jayaraman, Abhik Banerjee +2

The unprecedented growth of Internet of Things (IoT) and its applications in areas such as Smart Agriculture compels the need to devise newer ways for evaluating the quality of suc…

cs.SI2021

Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks

Hao Peng, Jianxin Li, Yangqiu Song +4

Events are happening in real-world and real-time, which can be planned and organized for occasions, such as social gatherings, festival celebrations, influential meetings or sports…

cs.DC2021★ 1 cited

Fuzzy Logic-based Robust Failure Handling Mechanism for Fog Computing

Ranesh Naha, Saurabh Garg, Sudheer Kumar Battula +2

Fog computing is an emerging computing paradigm which is mainly suitable for time-sensitive and real-time Internet of Things (IoT) applications. Academia and industries are focusin…

cs.CV2021★ 115 cited

CorrDetector: A Framework for Structural Corrosion Detection from Drone Images using Ensemble Deep Learning

Abdur Rahim Mohammad Forkan, Yong-Bin Kang, Prem Prakash Jayaraman +5

In this paper, we propose a new technique that applies automated image analysis in the area of structural corrosion monitoring and demonstrate improved efficacy compared to existin…

cs.DC2020

Priority-based Fair Scheduling in Edge Computing

Arkadiusz Madej, Nan Wang, Nikolaos Athanasopoulos +2

Scheduling is important in Edge computing. In contrast to the Cloud, Edge resources are hardware limited and cannot support workload-driven infrastructure scaling. Hence, resource…

cs.DC2019★ 2 cited

Adaptive Scheduling for Efficient Execution of Dynamic Stream Workflows

Mutaz Barika, Saurabh Garg, Rajiv Ranjan

Stream workflow application such as online anomaly detection or online traffic monitoring, integrates multiple streaming big data applications into data analysis pipeline. This app…