Parsley's Group Size Study
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866915574029746176 |
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| author | Silva, João A. Paulino, Hervé Lourenço, João M. |
| author_facet | Silva, João A. Paulino, Hervé Lourenço, João M. |
| contents | Parsley is a resilient group-based Distributed Hash Table that incorporates a preemptive peer relocation technique and a dynamic data sharding mechanism to enhance robustness and balance. In addition to the hard limits on group size, defined by minimum and maximum thresholds, Parsley introduces two soft limits that define a target interval for maintaining stable group sizes. These soft boundaries allow the overlay to take proactive measures to prevent violations of the hard limits, improving system stability under churn. This work provides an in-depth analysis of the rationale behind the parameter values adopted for Parsley's evaluation. Unlike related systems, which specify group size limits without justification, we conduct a systematic overlay characterization study to understand the effects of these parameters on performance and scalability. The study examines topology operations, the behavior of large groups, and the overall trade-offs observed, offering a grounded explanation for the chosen configuration values. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_21348 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Parsley's Group Size Study Silva, João A. Paulino, Hervé Lourenço, João M. Distributed, Parallel, and Cluster Computing Parsley is a resilient group-based Distributed Hash Table that incorporates a preemptive peer relocation technique and a dynamic data sharding mechanism to enhance robustness and balance. In addition to the hard limits on group size, defined by minimum and maximum thresholds, Parsley introduces two soft limits that define a target interval for maintaining stable group sizes. These soft boundaries allow the overlay to take proactive measures to prevent violations of the hard limits, improving system stability under churn. This work provides an in-depth analysis of the rationale behind the parameter values adopted for Parsley's evaluation. Unlike related systems, which specify group size limits without justification, we conduct a systematic overlay characterization study to understand the effects of these parameters on performance and scalability. The study examines topology operations, the behavior of large groups, and the overall trade-offs observed, offering a grounded explanation for the chosen configuration values. |
| title | Parsley's Group Size Study |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2510.21348 |