articleJournal of Cloud Computing Advances Systems and ApplicationsFeb 5, 2025GOLD OA

Cloud-edge hybrid deep learning framework for scalable IoT resource optimization

UKUmesh Kumar LilhoreSSSarita SimaiyaYKYogesh Kumar SharmaAKAnjani KumarSMS M Padmaja

Galgotias University · Arba Minch University · +4 more institutions

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Abstract

In the dynamic environment of the Internet of Things (IoT), edge and cloud computing play critical roles in analysing and storing data from numerous connected devices to produce valuable insights. Efficient resource allocation and workload distribution are vital to ensuring continuous and reliable service in growing IoT ecosystems with increasing data volumes and changing application demands. This study proposes a novel optimisation approach utilising deep learning to tackle these challenges. The integration of Deep Q-Networks (DQN) and Proximal Policy Optimization (PPO) offers a practical approach to addressing the dynamic characteristics of IoT applications. The hybrid algorithm's primary characteristic is…

Citation impact

42
total citations
FWCI
53.53
Percentile
100%
References
37
Citations per year

Authors

9

Topics & keywords

Topics
Keywords
  • Cloud computing
  • Scalability
  • Computer science
  • Internet of Things
  • Enhanced Data Rates for GSM Evolution
  • Deep learning
  • Resource (disambiguation)
  • Distributed computing
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