A DQN-based offloading policy for mobile blockchain miners reduces simulated latency and energy costs and increases a formula-based privacy score compared with fixed offload/no-offload baselines.
Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
The blockchain technology is taking the world by storm. Blockchain with its decentralized, transparent and secure nature has emerged as a disruptive technology for the next generation of numerous industrial applications. One of them is Cloud of Things enabled by the combination of cloud computing and Internet of Things. In this context, blockchain provides innovative solutions to address challenges in Cloud of Things in terms of decentralization, data privacy and network security, while Cloud of Things offer elasticity and scalability functionalities to improve the efficiency of blockchain operations. Therefore, a novel paradigm of blockchain and Cloud of Things integration, called BCoT, has been widely regarded as a promising enabler for a wide range of application scenarios. In this paper, we present a state-of-the-art review on the BCoT integration to provide general readers with an overview of the BCoT in various aspects, including background knowledge, motivation, and integrated architecture. Particularly, we also provide an in-depth survey of BCoT applications in different use-case domains such as smart healthcare, smart city, smart transportation and smart industry. Then, we review the recent BCoT developments with the emerging blockchain and cloud platforms, services, and research projects. Finally, some important research challenges and future directions are highlighted to spur further research in this promising area.
fields
eess.SP 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Privacy-Preserved Task Offloading in Mobile Blockchain with Deep Reinforcement Learning
A DQN-based offloading policy for mobile blockchain miners reduces simulated latency and energy costs and increases a formula-based privacy score compared with fixed offload/no-offload baselines.