Blockchain-Based Resource Discovery for the Intercloud

Achieving efficient and secure resource discovery in the intercloud remains non-trivial. Several peer-to-peer based resource discovery schemes have been proposed by researchers apart from industry bodies such as the Global Inter Cloud Technology Forum (GICTF). The challenges with these distributed schemes include peer-selection, trust/reputation management, transaction record management and financial settlements besides handling failures. We propose a P2P-based resource discovery framework using blockchain which addresses several of the key shortcomings of existing approaches. The proposed framework scores over existing schemes on several functional and performance parameters. It is the first instance of applying the blockchain concept to the intercloud resource discovery process circumventing the need of a trusted third-party or broker between participating Cloud Service Providers (CSPs).

[1]  Rajkumar Buyya,et al.  A framework for ranking of cloud computing services , 2013, Future Gener. Comput. Syst..

[2]  Li Xin,et al.  Research on Cloud Resource Section Method for the Multi-layer Ontology , 2016 .

[3]  Beng Chin Ooi,et al.  BLOCKBENCH: A Framework for Analyzing Private Blockchains , 2017, SIGMOD Conference.

[5]  Kwang Mong Sim,et al.  Agent-Based Cloud Computing , 2012, IEEE Transactions on Services Computing.

[6]  Kwang Mong Sim Agent-based Cloud commerce , 2009, 2009 IEEE International Conference on Industrial Engineering and Engineering Management.

[7]  Uwe Schwiegelshohn,et al.  Resource Allocation and Scheduling in Metasystems , 1999, HPCN Europe.

[8]  Nik Bessis,et al.  Advancing Inter-cloud Resource Discovery Based on Past Service Experiences of Transient Resource Clustering , 2012, 2012 Third International Conference on Emerging Intelligent Data and Web Technologies.

[9]  Seema Bawa,et al.  Peer Clouds: A P2P-Based Resource Discovery Mechanism for the Intercloud , 2015, Int. J. Next Gener. Comput..

[10]  Rajkumar Buyya,et al.  Inter‐Cloud architectures and application brokering: taxonomy and survey , 2014, Softw. Pract. Exp..