Hybrid SFLA-UBS Algorithm for Optimal Resource Provisioning with Cost Management in Multi-cloud Computing

Multi-cloud is a vendor-based heterogeneous cloud paradigm in recent era of computing with dynamic infrastructural deployment. Multi-cloud provides all the essential and on-demand requirements of a virtual environment from various domains under a single service level agreement (SLA). Consumers from...

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Bibliographic Details
Published in:International journal of advanced computer science & applications 2021, Vol.12 (4)
Main Authors: Hussain, Muhammad Iftikhar, He, JingSha, Zhu, Nafei, Sabah, Fahad, Ali, Zulfiqar, Hussain, Saqib, Razque, Fahad
Format: Article
Language:English
Subjects:
Access control
Accuracy
Algorithms
Cloud computing
Complexity
Computer science
Design
Domains
Efficiency
Game theory
Genetic algorithms
Optimization
Provisioning
Resource allocation
Scheduling
Virtual environments
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Summary:Multi-cloud is a vendor-based heterogeneous cloud paradigm in recent era of computing with dynamic infrastructural deployment. Multi-cloud provides all the essential and on-demand requirements of a virtual environment from various domains under a single service level agreement (SLA). Consumers from multitier domains can access all the available resources placed in a shared pool on service provider’s side, as per their requirement. The shared pool of resources creates complexity in assigning the best and suitable resource to a particular virtual instance under the same services provider end. The complexity of resources in terms of accessibility from the various domains, dynamic allocation, security, and quality of services (QoS) raises concerns in the multi-cloud infrastructure. This complexity raise concern relates to optimal provisioning and cost management. In the proposed work a hybrid technique with a shuffled leapfrog algorithm and ubiquitous binary search (SLFA-UBS) to resolve these issues with optimal provisioning, dynamic allocation and better resource selection. The proposed work will help to create a need-based and demand-based resource pool with the appropriate selection of each resource. The proposed model also supports resource optimization with dynamic provisioning, cost-effective solution to achieve QoS in multi-cloud deployment on service provider end.
ISSN:2158-107X
2156-5570
DOI:10.14569/IJACSA.2021.0120473