Please use this identifier to cite or link to this item: https://hdl.handle.net/10321/3731
Title: Intercloud resource discovery using Blockchain
Authors: Sharma, Mekhla 
Singh, Jaiteg 
Gupta, Ankur 
Tanwar, Sudeep
Sharma, Gulshan
Davidson, I. E. 
Keywords: Blockchain;Intercloud;Resource discovery
Issue Date: 2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Source: Sharma, M., Singh, J., Gupta, A., Tanwar, S., Sharma, G., Davidson, I.E. 2021. Intercloud resource discovery using Blockchain. IEEE Access. : 1-1. doi:10.1109/access.2021.3131515
Journal: IEEE Access
Abstract: 
The intercloud represents a logical evolution of cloud computing that
extends its computational scale and geographic footprint by collaborating with disparate
cloud service providers (CSPs) for resource sharing. Discovering resources belonging to
heterogeneous CSPs is not only the primary but critical operation for the intercloud.
However, achieving resource discovery in a deterministic manner within this global
distributed environment is non-trivial. The literature has proposed several resource
discovery approaches for the federated intercloud based on trusted and centralized thirdparty entities. Few approaches, however, exist for the non-federated intercloud, which by
definition has no central entity to enable the resource discovery process. Some P2P-based
resource discovery techniques have been proposed by researchers, industry players and
standardization bodies like Global InterCloud Technology Forum (GICTF). However,
existing P2P-based approaches in the non-federated intercloud do not adequately address
authentication, non-repudiation of resource information, secure storage and management
of transactional records, management of trust/reputation and optimal resource selection
and provisioning. This research paper presents BIRD, a Blockchain-based Intercloud
Resource Discovery framework that involves participating CSPs connected in a P2P
network using blockchain to manage resource information and maintain transactional
records. The BIRD framework alleviates the requirement of a trusted third party for
discovering and managing resources. The main features involved in the BIRD framework
are i) latency optimization, ii) fine-grained control mechanism, and iii) Quality-of Service, Trust and Reputation (QTR) indices. Latency optimization achieves faster resource discovery, fine-grained control mechanism for intercloud resource discovery, and QTR is for quality CSP or resource selection. BIRD uses blockchain to maintain transactions between CSPs securely.
URI: https://hdl.handle.net/10321/3731
ISSN: 2169-3536 (Online)
DOI: 10.1109/access.2021.3131515
Appears in Collections:Research Publications (Engineering and Built Environment)

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