Open Access
Volume 42, Number 2, April 2024
Page(s) 319 - 327
Published online 30 May 2024
  1. KAZEMI M, GHANBARI S, KAZEMI M. Divisible load framework and close form for scheduling in fog computing systems[C]//Proceedings of the Fourth International Conference on Soft Computing and Data Mining, Melaka, Malaysia, 2020: 22–23 [Google Scholar]
  2. NIKBAKHT AALI S, BAGHERZADEH N. Divisible load scheduling of image processing applications on the heterogeneous star and tree networks using a new genetic algorithm[J]. Concurrency and Computation: Practice and Experience, 2020, 32(10): e5498. [Article] [Google Scholar]
  3. ROBERTAZZI T G, SHI L, ROBERTAZZI T G, et al. Divisible loads and parallel processing//Networking and Computation: Technology, Modeling and Performance[M]. Springer, 2020: 101–137 [Google Scholar]
  4. SHOKRIPOUR A, OTHMAN M, IBRAHIM H, et al. New method for scheduling heterogeneous multi-installment systems[J]. Future Generation Computer Systems, 2012, 28(8): 1205–1216. [Article] [Google Scholar]
  5. BHARADWAJ V, GHOSE D, MANI V. Multi-installment load distribution in tree networks with delays[J]. IEEE Trans on Aerospace and Electronic Systems, 1995, 31(2): 555–567. [Article] [Google Scholar]
  6. WANG X, VEERAVALLI B. Performance characterization on handling large-scale partitionable workloads on heterogeneous networked compute platforms[J]. IEEE Trans on Parallel and Distributed Systems, 2017, 28(10): 2925–2938. [Article] [Google Scholar]
  7. HAMMERMAN N, GOLDBERG R. Algorithms to improve the convergence of a genetic algorithm with a finite state machine genome//Practical Handbook of Genetic Algorithms[M]. Boca Raton: CRC press, 2019: 119–238 [Google Scholar]
  8. BAI W, REN J, LI T. Modified genetic optimization-based locally weighted learning identification modeling of ship maneuvering with full scale trial[J]. Future generation computer systems, 2019, 93: 1036–1045. [Article] [Google Scholar]

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