Blockchain Based Adaptive Resource Allocation in Cloud Computing

【Author】 Muruganandam, Sumathi; Natarajan, Vijayaraj; Raj, Raja Soosaimarian Peter; Maharajan, Venkatachalapathy

【Source】BRAZILIAN ARCHIVES OF BIOLOGY AND TECHNOLOGY

【影响因子】1.180

【Abstract】Cloud computing is breakthrough technology with applications in education, industry and research. Implementing a cloud environment, however, depends on virtualization, parallel computing, resource management, service-oriented architecture, and distributed computing. The efficiency of cloud computing depends on effective resource allocation (R-A). Conventional R-A, from resource requests to price settlement, is handled entirely by cloud service providers (CSPs), which make it difficult for end users (EUs) to view details relating to resource availability and price. Hence, an alternative technique is required to provide an efficient R-A between EU's. In this work, the blockchain (BC) technique is used for R-A between the EU's without the intervention of CSP. The BC provides decentralized and secured communication between the EU's without any inconsistency. Based on demand, R-A is carried out in two different ways, fixed size and variable size. In a fixed size R-A, each user utilizes an equal quantity of resources at a particular time but in a variable size R-A each user utilizes the varying quantity of resources based on demand. Given that the R-A, chosen depends on resource availability and demand, the proposed work employs hybrid R-A (Adaptive Resource Allocation) schemes such as fixed-size adaptive R-A (FSARA) and variable-sized adaptive R-A (VSARA). The simulation results show the comparative analysis of the proposed and existing R-A techniques. When compared to existing R-A techniques like optimal, greedy and iterative techniques, the proposed technique achieved more 90% customer satisfaction. Depends on priority the allocated resource price is varied in a proposed provides equal profit (50%) to R-R and R-P. When compared to existing random transmission technique, the proposed technique takes lesser than 8.5% of transmission time. The proposed technique reduces transmission latency, confirmation latency, and response time, while simultaneously increasing throughput and R-A scalability without CSP intervention.

【Keywords】Resource allocation; Smart contract; Blockchain; Fixed and Variable size Resource Allocation

【发表时间】2022

【收录时间】2022-09-28

【文献类型】实验仿真

【主题类别】

区块链技术-协同技术-云计算