Blockchain Based Adaptive Resource Allocation in Cloud Computing

HIGHLIGHTS

• The permissioned blockchain is used for resource allocation and monitoring.

• To reduce storage size, partial data is stored in the onchain blocks instead of entire data.

• The EU’s based Fixed and variable size resource allocation techniques are proposed.

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 RA 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.