Ir al contenido

Documat


Blockchain Based Cloud Management Architecture for Maximum Availability

  • Alberto Arias Maestro [1] ; Oscar Sanjuan Martinez [1] ; Ankur M. Teredesai [2] ; Vicente García-Díaz [3]
    1. [1] Universidad Internacional de La Rioja

      Universidad Internacional de La Rioja

      Logroño, España

    2. [2] University of Washington Tacoma

      University of Washington Tacoma

      Estados Unidos

    3. [3] Universidad de Oviedo

      Universidad de Oviedo

      Oviedo, España

  • Localización: IJIMAI, ISSN-e 1989-1660, Vol. 8, Nº. 1, 2023 (Ejemplar dedicado a: Special Issue on AI-driven Algorithms and Applications in the Dynamic and Evolving Environments), págs. 88-94
  • Idioma: inglés
  • DOI: 10.9781/ijimai.2023.02.002
  • Enlaces
  • Resumen
    • Contemporary cloud application and Edge computing orchestration systems rely on controller/worker design patterns to allocate, distribute, and manage resources. Standard solutions like Apache Mesos, Docker Swarm, and Kubernetes can span multiple zones at data centers, multiple global regions, and even consumer point of presence locations. Previous research has concluded that random network partitions cannot be avoided in these scenarios, leaving system designers to choose between consistency and availability, as defined by the CAP theorem. Controller/worker architectures guarantee configuration consistency via the employment of redundant storage systems, in most cases coordinated via consensus algorithms such as Paxos or Raft. These algorithms ensure information consistency against network failures while decreasing availability as network regions increase. Mainstream blockchain technology provides a solution to this compromise while decentralizing control via a fully distributed architecture coordinated through Byzantine-resistant consensus algorithms. This research proposes a blockchain-based decentralized architecture for cloud resource management systems. We analyze and compare the characteristics of the proposed architecture concerning the consistency, availability, and partition resistance of architectures that rely on Paxos/Raft distributed data stores. Our research demonstrates that the proposed blockchain-based decentralized architecture noticeably increases the system availability, including cases of network partitioning, without a significant impact on configuration consistency.

  • Referencias bibliográficas
    • M. Schwarzkopf, A. Konwinski, M. Abd-El-Malek, and J. Wilkes, “Omega, Flexible, scalable schedulers for large compute clusters”, in Proceedings...
    • G. Dasher, I. Envid, and B. Calder, “Architectures for Protecting Cloud Data Planes”, Google, Mountain View, CA, USA, 2022. Accessed: Nov....
    • A. Kumar, S. Avinash Kumar, V. Dutt, A. Dubey, S. Narang, “A Hybrid Secure Cloud Platform Maintenance Based on Improved Attribute-Based Encryption...
    • G. Zhang, X. Chen, L. Zhang, B. Feng, X. Guo, J. Liang, Y. Zhang, “STAIBT: Blockchain and CP-ABE Empowered Secure and Trusted Agricultural...
    • A. Berenberg, and B. Calder, “Deployment Archetypes for Cloud Applications”, ACM Computing Surveys, vol. 55, no. 3, pp. 1-48, 2022, doi:10.48550/arXiv.2105.00560....
    • S. Sebastio, R. Ghosh, and T. Mukherjee, “An availability analysis approach for deployment configurations of containers”, IEEE Transactions...
    • E. Brewer, “Spanner, truetime and the cap theorem”, Google, Mountain View, CA, USA, 2022. Accessed: Nov. 15, 2022. Available: https://research.google/pubs/pub45855....
    • P. Bailis, and K. Kingsbury, “The network is reliable: An informal survey of real-world communications failures”, Queue, vol. 12, no. 7,...
    • L. Lamport, “The part-time parliament”, ACM Transactions on Computer System, vol. 16, no. 2, pp 133-169, 1998, doi:10.1145/3335772.3335939....
    • V. Gramoli, “From blockchain consensus back to Byzantine consensus”, Future Generation Computer Systems, vol. 107, no. C, pp. 760-769, 2020,...
    • D. Bernstein, “Cloud Foundry Aims to Become the OpenStack of PaaS”, in IEEE Cloud Computing, vol. 1, no. 2, pp. 57-60, 2014, doi:10.1109/...
    • B. Hindman, A. Konwinski, M. Zaharia, A. Ghodsi, A. Joseph, R. Katz, S. Shenker, and I. Stoica, “Mesos: A Platform for Fine-Grained Resource...
    • N. Naik, “Building a virtual system of systems using docker swarm in multiple clouds”, IEEE International Symposium on Systems Engineering...
    • B. Burns, B. Grant, D. Oppenheimer, E. Brewer, and J. Wilkes, “Borg, omega, and Kubernetes”, Communications of the ACM, vol. 59, no. 5, pp....
    • S. Davidson, “Optimism and consistency in partitioned distributed database systems”, ACM Transactions on Database Systems (TODS), vol. 9,...
    • H. Howard, M. Schwarzkopf, A. Madhavapeddy, and J. Crowcroft, “Raft refloated: Do we have consensus?”, ACM SIGOPS Operating Systems Review,...
    • B. Burns, B. Grant, D. Oppenheimer, E. Brewer, and J. Wilkes, “Borg, Omega, and Kubernetes: Lessons learned from three containermanagement...
    • J. Hellerstein, and P. Alvaro, “Keeping CALM: when distributed consistency is easy”, Communications of the ACM, vol. 63, no. 9, pp. 72- 81,...
    • J. Yang, J. Dai, H. B. Gooi, H. Nguyen and A. Paudel, “A Proof-of-Authority Blockchain Based Distributed Control System for Islanded Microgrids”,...
    • P. K. Sharma, M. Chen and J. H. Park, “A Software Defined Fog Node Based Distributed Blockchain Cloud Architecture for IoT”, IEEE Access,...
    • G. Nguyen, and K. Kim, “A survey about consensus algorithms used in blockchain”, Journal of Information processing systems, vol. 14, no....
    • I. Weber, V. Gramoli, A. Ponomarev, M. Staples, R. Holz, A. Tran, and P. Rimba, “On availability for blockchain-based systems”, IEEE 36th...
    • G. Carrara, L. Burle, D. Medeiros, C. Vinicius, and D. Mattos, “Consistency, availability, and partition tolerance in blockchain: a survey...

Fundación Dialnet

Mi Documat

Opciones de artículo

Opciones de compartir

Opciones de entorno