Resource Management and Pricing for Cloud Computing based Mobile Blockchain with Pooling

Abstract : In a public blockchain system applying Proof of Work (PoW), the participants need to compete with their computing resources for reward, which is challenging for resource-limited devices. Mobile blockchain is proposed to facilitate the application of blockchain for mobile service, in which the lightweight devices can participate mining by renting resources from the Cloud Computing Service Provider (CCSP), but CCSP usually does not have the information about the demand preference of users. In this paper, a contract model is adopted to address the cloud computing resource allocation and pricing problem in the mobile blockchain. In particular, an adverse selection contract solution is proposed to overcome the information asymmetry problem, and resource pooling is introduced to improve the stability of users rewards. Simulation results show that the information asymmetry problem is well overcome by adverse selection contract so that CCSP can obtain more utility than linear pricing contracts. Furthermore, the resource pooling could effectively improve the users and CCSPs utilities. When the size of the mining pool is large enough, it can achieve an improvement effect of more than 10 times. The effect of pool size and user type distribution on CCSPs utility is also studied.

 EXISTING SYSTEM :

 ? There is no existing work to provide a comprehensive survey on the combination of these important research areas, to our best knowledge. ? The existing blockchain networks still remain scalability bottlenecks in terms of the number of replicas and limited throughput. ? However, all existing paradigms still face the main problem related to centralized industrial network and third part-based authority. ? In a nutshell, centralized manufacturing architectures exist limitations with low flexibility, efficiency, and security. ? The adoption of machine learning provides more perspectives to evaluate, analyse and deal with existing issues in BCoT scenarios, enabling to boost QoS, security and performance of the whole network.

 DISADVANTAGE :

 ? The impacts of different parameters from the proposed model on the performance, we consider a group of N miners, e.g., mobile users in the blockchain application involving PoW assisted by the CFP. ? we investigate the impacts of variable reward and fixed reward on miners and the CFP. ? To explore the impacts of discriminatory pricing on each specific miner, we investigate the optimal price and resulting individual computing service demand from miners. ? The profit maximization defined in is a convex optimization problem, and thus it can be solved by standard convex optimization algorithms, e.g., gradient assisted binary search.

 PROPOSED SYSTEM :

 • An innovative blockchain instantiation named the data auditing blockchain (DAB) is proposed to investigate auditing requests between users and CSPs to verify data integrity. • Moreover, proposed a cloud federation model which enable distributed resource provisions using an individual cloud under the management of blockchain network. • The main purpose of blockchain in the proposed architecture is to provide secure network management. • In, a secure cloud-assisted e-health system based on blockchain is proposed to protect the operation of outsourcing EHRs among medical users.

 ADVANTAGE :

 ? We conduct extensive numerical simulations to evaluate the performance of the proposed price-based resource management in blockchain networks. ? We conduct the extensive numerical simulations to evaluate the performance of our proposed price-based computing resource management to support blockchain application involving PoW. ? We have conducted the numerical simulations to evaluate the network performance, which help the cloud/fog provider to achieve optimal resource management and gain the highest profit. ? The high level of user activities may attract more users and in return further improve the robustness of the underlying blockchain network.