SECURE : Efficient resource scheduling by swarm in cloud computing

Article Properties
  • Language
    English
  • DOI (url)
    10.1080/09720529.2019.1576334
  • Publication Date
    2019/02/17
  • Journal
    Journal of Discrete Mathematical Sciences and Cryptography
  • Indian UGC (journal)
  • Refrences
    13
  • Citations
    14
  • Harvinder Singh I.K. Gujral Punjab Technical University, Kapurthala 144601, Punjab, India
  • Anshu Bhasin I.K. Gujral Punjab Technical University, Main Campus, Kapurthala 144601, Punjab, India.
  • Parag Kaveri Symbiosis Institute of Computer Studies and Research, (Symbiosis International Deemed University) Pune 411016, Maharashtra, India.
Cite
Singh, Harvinder, et al. “SECURE : Efficient Resource Scheduling by Swarm in Cloud Computing”. Journal of Discrete Mathematical Sciences and Cryptography, vol. 22, no. 2, 2019, pp. 127-3, https://doi.org/10.1080/09720529.2019.1576334.
Singh, H., Bhasin, A., & Kaveri, P. (2019). SECURE : Efficient resource scheduling by swarm in cloud computing. Journal of Discrete Mathematical Sciences and Cryptography, 22(2), 127-137. https://doi.org/10.1080/09720529.2019.1576334
Singh H, Bhasin A, Kaveri P. SECURE : Efficient resource scheduling by swarm in cloud computing. Journal of Discrete Mathematical Sciences and Cryptography. 2019;22(2):127-3.
Journal Category
Technology
Technology (General)
Industrial engineering
Management engineering
Applied mathematics
Quantitative methods
Refrences
Title Journal Journal Categories Citations Publication Date
Virtual machine resource scheduling algorithm for cloud computing based on auction mechanism Optik
  • Technology: Chemical technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
  • Science: Physics: Acoustics. Sound
  • Science: Physics: Optics. Light
  • Science: Physics: Optics. Light
  • Science: Physics
 23 2016
Virtual machine resource scheduling algorithm for cloud computing based on auction mechanism 2017
Virtual machine resource scheduling algorithm for cloud computing based on auction mechanism
Virtual machine resource scheduling algorithm for cloud computing based on auction mechanism 2016
Virtual machine resource scheduling algorithm for cloud computing based on auction mechanism 2016
Citations
Title Journal Journal Categories Citations Publication Date
Hybrid Simulated Annealing and Spotted Hyena Optimization Algorithm-Based Resource Management and Scheduling in Cloud Environment Wireless Personal Communications
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 2023
Hybrid eagle strategy for QOS-based cloud service composition Journal of Information and Optimization Sciences
  • Bibliography. Library science. Information resources
 1 2022
Optimizing scheduling in cloud using a meta-heuristic approach Journal of Discrete Mathematical Sciences and Cryptography
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
 2022
Cloud Resource Scheduling Method based on Markov Process and the Cuckoo Search

 Journal of Physics: Conference Series 2022
Towards Enhancing the Capability of IoT Applications by Utilizing Cloud Computing Concept

 Wireless Communications and Mobile Computing
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Technology (General): Industrial engineering. Management engineering: Information technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 4 2022
Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science5
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods5
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication3
Science: Science (General): Cybernetics: Information theory3
Bibliography. Library science. Information resources3
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks2
Technology: Technology (General): Industrial engineering. Management engineering: Information technology2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware2
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software2
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 5 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Investigating TYPE constraint for frequent pattern mining and was published in 2019. The most recent citation comes from a 2023 study titled Hybrid Simulated Annealing and Spotted Hyena Optimization Algorithm-Based Resource Management and Scheduling in Cloud Environment. This article reached its peak citation in 2021, with 6 citations. It has been cited in 8 different journals, 12% of which are open access. Among related journals, the Journal of Discrete Mathematical Sciences and Cryptography cited this research the most, with 5 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year