Fragmentation-Avoiding Spectrum Assignment Strategy Based on Spectrum Partition for Elastic Optical Networks Article Swipe
Huanlin Liu
,
Lei Lv
,
Yong Chen
,
Chengying Wei
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1109/jphot.2017.2739750
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1109/jphot.2017.2739750
A fragmentation-avoiding spectrum assignment strategy based on spectrum partition is proposed, which is used to resolve the spectrum fragmentation problem in elastic optical networks. For alleviating spectrum fragmentation, a spectrum partition policy, splitting the whole optical spectrum into several dedicated partitions, is presented. Based on this, a joint first-last-fit spectrum assignment policy is presented to enhance the probability of successful transmission of request and spectrum efficiency, where each partition is first used to transmit requests with the same rate in the first-fit policy; and other partitions are used to search available spectrum resources in the last-fit policy when there are no available spectrum resources in the dedicated partition. Meanwhile, a partition selection formula is designed to minimize the interference of spectrum resources during the last-fit spectrum assignment. Moreover, a reconfiguration mechanism, moving requests that are not transmitted in their dedicated partition to their dedicated partition, is also studied. The simulation results indicate that the proposed algorithm can reduce the bandwidth blocking probability and improve spectrum efficiency.
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Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/jphot.2017.2739750
- OA Status
- gold
- Cited By
- 20
- References
- 24
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2750284076
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2750284076Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/jphot.2017.2739750Digital Object Identifier
- Title
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Fragmentation-Avoiding Spectrum Assignment Strategy Based on Spectrum Partition for Elastic Optical NetworksWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2017Year of publication
- Publication date
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2017-08-24Full publication date if available
- Authors
-
Huanlin Liu, Lei Lv, Yong Chen, Chengying WeiList of authors in order
- Landing page
-
https://doi.org/10.1109/jphot.2017.2739750Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1109/jphot.2017.2739750Direct OA link when available
- Concepts
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Fragmentation (computing), Computer science, Partition (number theory), Spectrum (functional analysis), Physics, Mathematics, Combinatorics, Operating system, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
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20Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 1, 2023: 2, 2022: 3, 2021: 1Per-year citation counts (last 5 years)
- References (count)
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24Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.their | 138, 142 |
| abstract_inverted_index.there | 98 |
| abstract_inverted_index.this, | 45 |
| abstract_inverted_index.where | 66 |
| abstract_inverted_index.which | 11 |
| abstract_inverted_index.whole | 34 |
| abstract_inverted_index.during | 122 |
| abstract_inverted_index.moving | 131 |
| abstract_inverted_index.policy | 51, 96 |
| abstract_inverted_index.reduce | 157 |
| abstract_inverted_index.search | 89 |
| abstract_inverted_index.elastic | 21 |
| abstract_inverted_index.enhance | 55 |
| abstract_inverted_index.formula | 112 |
| abstract_inverted_index.improve | 163 |
| abstract_inverted_index.optical | 22, 35 |
| abstract_inverted_index.policy, | 31 |
| abstract_inverted_index.policy; | 82 |
| abstract_inverted_index.problem | 19 |
| abstract_inverted_index.request | 62 |
| abstract_inverted_index.resolve | 15 |
| abstract_inverted_index.results | 150 |
| abstract_inverted_index.several | 38 |
| abstract_inverted_index.blocking | 160 |
| abstract_inverted_index.designed | 114 |
| abstract_inverted_index.indicate | 151 |
| abstract_inverted_index.last-fit | 95, 124 |
| abstract_inverted_index.minimize | 116 |
| abstract_inverted_index.proposed | 154 |
| abstract_inverted_index.requests | 74, 132 |
| abstract_inverted_index.spectrum | 2, 7, 17, 26, 29, 36, 49, 64, 91, 102, 120, 125, 164 |
| abstract_inverted_index.strategy | 4 |
| abstract_inverted_index.studied. | 147 |
| abstract_inverted_index.transmit | 73 |
| abstract_inverted_index.Moreover, | 127 |
| abstract_inverted_index.algorithm | 155 |
| abstract_inverted_index.available | 90, 101 |
| abstract_inverted_index.bandwidth | 159 |
| abstract_inverted_index.dedicated | 39, 106, 139, 143 |
| abstract_inverted_index.first-fit | 81 |
| abstract_inverted_index.networks. | 23 |
| abstract_inverted_index.partition | 8, 30, 68, 110, 140 |
| abstract_inverted_index.presented | 53 |
| abstract_inverted_index.proposed, | 10 |
| abstract_inverted_index.resources | 92, 103, 121 |
| abstract_inverted_index.selection | 111 |
| abstract_inverted_index.splitting | 32 |
| abstract_inverted_index.Meanwhile, | 108 |
| abstract_inverted_index.assignment | 3, 50 |
| abstract_inverted_index.mechanism, | 130 |
| abstract_inverted_index.partition, | 144 |
| abstract_inverted_index.partition. | 107 |
| abstract_inverted_index.partitions | 85 |
| abstract_inverted_index.presented. | 42 |
| abstract_inverted_index.simulation | 149 |
| abstract_inverted_index.successful | 59 |
| abstract_inverted_index.alleviating | 25 |
| abstract_inverted_index.assignment. | 126 |
| abstract_inverted_index.efficiency, | 65 |
| abstract_inverted_index.efficiency. | 165 |
| abstract_inverted_index.partitions, | 40 |
| abstract_inverted_index.probability | 57, 161 |
| abstract_inverted_index.transmitted | 136 |
| abstract_inverted_index.interference | 118 |
| abstract_inverted_index.transmission | 60 |
| abstract_inverted_index.fragmentation | 18 |
| abstract_inverted_index.first-last-fit | 48 |
| abstract_inverted_index.fragmentation, | 27 |
| abstract_inverted_index.reconfiguration | 129 |
| abstract_inverted_index.fragmentation-avoiding | 1 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.85764931 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |