Load Balancing in Peer-to-Peer System Using Fuzzy C-Means Clustering
Objective of load balancing algorithm is to keep all nodes normally loaded through migration of modules from heavy weighted nodes to light weighted nodes. In addition, load balancing must involve low communication overhead and respond quickly to load imbalance in the system. In previous load balanci...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Bhardwaj, Rupali [verfasserIn] Dixit, V. S. [verfasserIn] Upadhyay, Anil [verfasserIn] |
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E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2013 |
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| Umfang: |
1 Online-Ressource |
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| Übergeordnetes Werk: |
Enthalten in: International journal of fuzzy system applications - Hershey, Pa : IGI Global, 2011, 3(2013), 1, Seite 82-93 |
|---|---|
| Übergeordnetes Werk: |
volume:3 ; year:2013 ; number:1 ; pages:82-93 |
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| DOI / URN: |
10.4018/ijfsa.2013010105 |
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| 520 | |a Objective of load balancing algorithm is to keep all nodes normally loaded through migration of modules from heavy weighted nodes to light weighted nodes. In addition, load balancing must involve low communication overhead and respond quickly to load imbalance in the system. In previous load balancing algorithms, classification of nodes is done by using threshold value; which is fixed and predefined. In this paper, the authors proposed load balancing algorithm using fuzzy c-means clustering which changed the status of nodes dynamically according to the state of system. The proposed algorithm is compared with other existing algorithms and is found to be fast and efficient in reducing load imbalance in peer-to-peer system | ||
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Objective of load balancing algorithm is to keep all nodes normally loaded through migration of modules from heavy weighted nodes to light weighted nodes. In addition, load balancing must involve low communication overhead and respond quickly to load imbalance in the system. In previous load balancing algorithms, classification of nodes is done by using threshold value; which is fixed and predefined. In this paper, the authors proposed load balancing algorithm using fuzzy c-means clustering which changed the status of nodes dynamically according to the state of system. The proposed algorithm is compared with other existing algorithms and is found to be fast and efficient in reducing load imbalance in peer-to-peer system |
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Objective of load balancing algorithm is to keep all nodes normally loaded through migration of modules from heavy weighted nodes to light weighted nodes. In addition, load balancing must involve low communication overhead and respond quickly to load imbalance in the system. In previous load balancing algorithms, classification of nodes is done by using threshold value; which is fixed and predefined. In this paper, the authors proposed load balancing algorithm using fuzzy c-means clustering which changed the status of nodes dynamically according to the state of system. The proposed algorithm is compared with other existing algorithms and is found to be fast and efficient in reducing load imbalance in peer-to-peer system |
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Objective of load balancing algorithm is to keep all nodes normally loaded through migration of modules from heavy weighted nodes to light weighted nodes. In addition, load balancing must involve low communication overhead and respond quickly to load imbalance in the system. In previous load balancing algorithms, classification of nodes is done by using threshold value; which is fixed and predefined. In this paper, the authors proposed load balancing algorithm using fuzzy c-means clustering which changed the status of nodes dynamically according to the state of system. The proposed algorithm is compared with other existing algorithms and is found to be fast and efficient in reducing load imbalance in peer-to-peer system |
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In addition, load balancing must involve low communication overhead and respond quickly to load imbalance in the system. In previous load balancing algorithms, classification of nodes is done by using threshold value; which is fixed and predefined. In this paper, the authors proposed load balancing algorithm using fuzzy c-means clustering which changed the status of nodes dynamically according to the state of system. The proposed algorithm is compared with other existing algorithms and is found to be fast and efficient in reducing load imbalance in peer-to-peer system</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Fuzzy C-Means Clustering</subfield><subfield code="a">Load Balancing</subfield><subfield code="a">Node Degree</subfield><subfield code="a">Peer-To-Peer</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Dixit, V. S.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Upadhyay, Anil</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">International journal of fuzzy system applications</subfield><subfield code="d">Hershey, Pa : IGI Global, 2011</subfield><subfield code="g">3(2013), 1, Seite 82-93</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)NLEJ244418993</subfield><subfield code="w">(DE-600)2703297-8</subfield><subfield code="x">2156-1761</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:3</subfield><subfield code="g">year:2013</subfield><subfield code="g">number:1</subfield><subfield code="g">pages:82-93</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijfsa.2013010105</subfield><subfield code="m">X:IGIG</subfield><subfield code="x">Verlag</subfield><subfield code="z">Deutschlandweit zugänglich</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijfsa.2013010105&buylink=true</subfield><subfield code="3">Abstract</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-GIS</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">3</subfield><subfield code="j">2013</subfield><subfield code="e">1</subfield><subfield code="h">82-93</subfield></datafield></record></collection>
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