An adaptive cache invalidation technique for wireless environments
Abstract With an evolution of Internet and related technologies such as 4G, and 5G, there is a need of fast response time for various queries raised by intermediate nodes and mobile terminals from infra structured-based/less networks. Although there has been many efforts in the past to address this...
Ausführliche Beschreibung
Autor*in: |
Tiwari, Rajeev [verfasserIn] Kumar, Neeraj [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2015 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Telecommunication systems - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1993, 62(2015), 1 vom: 03. Juni, Seite 149-165 |
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Übergeordnetes Werk: |
volume:62 ; year:2015 ; number:1 ; day:03 ; month:06 ; pages:149-165 |
Links: |
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DOI / URN: |
10.1007/s11235-015-0070-1 |
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Katalog-ID: |
SPR017963605 |
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245 | 1 | 3 | |a An adaptive cache invalidation technique for wireless environments |
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520 | |a Abstract With an evolution of Internet and related technologies such as 4G, and 5G, there is a need of fast response time for various queries raised by intermediate nodes and mobile terminals from infra structured-based/less networks. Although there has been many efforts in the past to address this issue by using an invalidation report (IR)-based cache management schemes which reduce the bandwidth requirements, and battery consumptions, but when the update rate of data at the server is high, then most of the existing approaches have long query latency due to large and fixed size of IRs, and broadcast time (BT) interval. To address these issues, in this paper, an adaptive cache invalidation technique (ACIT) is proposed. In comparison to the previous approaches, the proposed scheme uses different thresholds update rates for adaptive IR, and BT intervals. In the proposed scheme, only hot data updates in IR are recorded which results a less query delay, and bandwidth consumption. The performance of the proposed scheme was studied by extensive simulations by comparing it with the other state-of-the-art schemes using various metrics. The proposed scheme yields 1.5 times enhancement in query response time with a reduction in IR size to 25 % in comparison to other existing techniques. Moreover, there is a reduction of 119.89 % in broadcast time interval using the proposed scheme. | ||
650 | 4 | |a Cache invalidation |7 (dpeaa)DE-He213 | |
650 | 4 | |a Cooperative caching |7 (dpeaa)DE-He213 | |
650 | 4 | |a Cache hit ratio |7 (dpeaa)DE-He213 | |
650 | 4 | |a Wireless networks |7 (dpeaa)DE-He213 | |
700 | 1 | |a Kumar, Neeraj |e verfasserin |4 aut | |
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2015 |
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10.1007/s11235-015-0070-1 doi (DE-627)SPR017963605 (SPR)s11235-015-0070-1-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl 05.00 bkl Tiwari, Rajeev verfasserin aut An adaptive cache invalidation technique for wireless environments 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract With an evolution of Internet and related technologies such as 4G, and 5G, there is a need of fast response time for various queries raised by intermediate nodes and mobile terminals from infra structured-based/less networks. Although there has been many efforts in the past to address this issue by using an invalidation report (IR)-based cache management schemes which reduce the bandwidth requirements, and battery consumptions, but when the update rate of data at the server is high, then most of the existing approaches have long query latency due to large and fixed size of IRs, and broadcast time (BT) interval. To address these issues, in this paper, an adaptive cache invalidation technique (ACIT) is proposed. In comparison to the previous approaches, the proposed scheme uses different thresholds update rates for adaptive IR, and BT intervals. In the proposed scheme, only hot data updates in IR are recorded which results a less query delay, and bandwidth consumption. The performance of the proposed scheme was studied by extensive simulations by comparing it with the other state-of-the-art schemes using various metrics. The proposed scheme yields 1.5 times enhancement in query response time with a reduction in IR size to 25 % in comparison to other existing techniques. Moreover, there is a reduction of 119.89 % in broadcast time interval using the proposed scheme. Cache invalidation (dpeaa)DE-He213 Cooperative caching (dpeaa)DE-He213 Cache hit ratio (dpeaa)DE-He213 Wireless networks (dpeaa)DE-He213 Kumar, Neeraj verfasserin aut Enthalten in Telecommunication systems Dordrecht [u.a.] : Springer Science + Business Media B.V, 1993 62(2015), 1 vom: 03. Juni, Seite 149-165 (DE-627)319194779 (DE-600)2024222-0 1572-9451 nnns volume:62 year:2015 number:1 day:03 month:06 pages:149-165 https://dx.doi.org/10.1007/s11235-015-0070-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 53.00 ASE 05.00 ASE AR 62 2015 1 03 06 149-165 |
spelling |
10.1007/s11235-015-0070-1 doi (DE-627)SPR017963605 (SPR)s11235-015-0070-1-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl 05.00 bkl Tiwari, Rajeev verfasserin aut An adaptive cache invalidation technique for wireless environments 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract With an evolution of Internet and related technologies such as 4G, and 5G, there is a need of fast response time for various queries raised by intermediate nodes and mobile terminals from infra structured-based/less networks. Although there has been many efforts in the past to address this issue by using an invalidation report (IR)-based cache management schemes which reduce the bandwidth requirements, and battery consumptions, but when the update rate of data at the server is high, then most of the existing approaches have long query latency due to large and fixed size of IRs, and broadcast time (BT) interval. To address these issues, in this paper, an adaptive cache invalidation technique (ACIT) is proposed. In comparison to the previous approaches, the proposed scheme uses different thresholds update rates for adaptive IR, and BT intervals. In the proposed scheme, only hot data updates in IR are recorded which results a less query delay, and bandwidth consumption. The performance of the proposed scheme was studied by extensive simulations by comparing it with the other state-of-the-art schemes using various metrics. The proposed scheme yields 1.5 times enhancement in query response time with a reduction in IR size to 25 % in comparison to other existing techniques. Moreover, there is a reduction of 119.89 % in broadcast time interval using the proposed scheme. Cache invalidation (dpeaa)DE-He213 Cooperative caching (dpeaa)DE-He213 Cache hit ratio (dpeaa)DE-He213 Wireless networks (dpeaa)DE-He213 Kumar, Neeraj verfasserin aut Enthalten in Telecommunication systems Dordrecht [u.a.] : Springer Science + Business Media B.V, 1993 62(2015), 1 vom: 03. Juni, Seite 149-165 (DE-627)319194779 (DE-600)2024222-0 1572-9451 nnns volume:62 year:2015 number:1 day:03 month:06 pages:149-165 https://dx.doi.org/10.1007/s11235-015-0070-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 53.00 ASE 05.00 ASE AR 62 2015 1 03 06 149-165 |
allfields_unstemmed |
10.1007/s11235-015-0070-1 doi (DE-627)SPR017963605 (SPR)s11235-015-0070-1-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl 05.00 bkl Tiwari, Rajeev verfasserin aut An adaptive cache invalidation technique for wireless environments 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract With an evolution of Internet and related technologies such as 4G, and 5G, there is a need of fast response time for various queries raised by intermediate nodes and mobile terminals from infra structured-based/less networks. Although there has been many efforts in the past to address this issue by using an invalidation report (IR)-based cache management schemes which reduce the bandwidth requirements, and battery consumptions, but when the update rate of data at the server is high, then most of the existing approaches have long query latency due to large and fixed size of IRs, and broadcast time (BT) interval. To address these issues, in this paper, an adaptive cache invalidation technique (ACIT) is proposed. In comparison to the previous approaches, the proposed scheme uses different thresholds update rates for adaptive IR, and BT intervals. In the proposed scheme, only hot data updates in IR are recorded which results a less query delay, and bandwidth consumption. The performance of the proposed scheme was studied by extensive simulations by comparing it with the other state-of-the-art schemes using various metrics. The proposed scheme yields 1.5 times enhancement in query response time with a reduction in IR size to 25 % in comparison to other existing techniques. Moreover, there is a reduction of 119.89 % in broadcast time interval using the proposed scheme. Cache invalidation (dpeaa)DE-He213 Cooperative caching (dpeaa)DE-He213 Cache hit ratio (dpeaa)DE-He213 Wireless networks (dpeaa)DE-He213 Kumar, Neeraj verfasserin aut Enthalten in Telecommunication systems Dordrecht [u.a.] : Springer Science + Business Media B.V, 1993 62(2015), 1 vom: 03. Juni, Seite 149-165 (DE-627)319194779 (DE-600)2024222-0 1572-9451 nnns volume:62 year:2015 number:1 day:03 month:06 pages:149-165 https://dx.doi.org/10.1007/s11235-015-0070-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 53.00 ASE 05.00 ASE AR 62 2015 1 03 06 149-165 |
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10.1007/s11235-015-0070-1 doi (DE-627)SPR017963605 (SPR)s11235-015-0070-1-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl 05.00 bkl Tiwari, Rajeev verfasserin aut An adaptive cache invalidation technique for wireless environments 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract With an evolution of Internet and related technologies such as 4G, and 5G, there is a need of fast response time for various queries raised by intermediate nodes and mobile terminals from infra structured-based/less networks. Although there has been many efforts in the past to address this issue by using an invalidation report (IR)-based cache management schemes which reduce the bandwidth requirements, and battery consumptions, but when the update rate of data at the server is high, then most of the existing approaches have long query latency due to large and fixed size of IRs, and broadcast time (BT) interval. To address these issues, in this paper, an adaptive cache invalidation technique (ACIT) is proposed. In comparison to the previous approaches, the proposed scheme uses different thresholds update rates for adaptive IR, and BT intervals. In the proposed scheme, only hot data updates in IR are recorded which results a less query delay, and bandwidth consumption. The performance of the proposed scheme was studied by extensive simulations by comparing it with the other state-of-the-art schemes using various metrics. The proposed scheme yields 1.5 times enhancement in query response time with a reduction in IR size to 25 % in comparison to other existing techniques. Moreover, there is a reduction of 119.89 % in broadcast time interval using the proposed scheme. Cache invalidation (dpeaa)DE-He213 Cooperative caching (dpeaa)DE-He213 Cache hit ratio (dpeaa)DE-He213 Wireless networks (dpeaa)DE-He213 Kumar, Neeraj verfasserin aut Enthalten in Telecommunication systems Dordrecht [u.a.] : Springer Science + Business Media B.V, 1993 62(2015), 1 vom: 03. Juni, Seite 149-165 (DE-627)319194779 (DE-600)2024222-0 1572-9451 nnns volume:62 year:2015 number:1 day:03 month:06 pages:149-165 https://dx.doi.org/10.1007/s11235-015-0070-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 53.00 ASE 05.00 ASE AR 62 2015 1 03 06 149-165 |
allfieldsSound |
10.1007/s11235-015-0070-1 doi (DE-627)SPR017963605 (SPR)s11235-015-0070-1-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl 05.00 bkl Tiwari, Rajeev verfasserin aut An adaptive cache invalidation technique for wireless environments 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract With an evolution of Internet and related technologies such as 4G, and 5G, there is a need of fast response time for various queries raised by intermediate nodes and mobile terminals from infra structured-based/less networks. Although there has been many efforts in the past to address this issue by using an invalidation report (IR)-based cache management schemes which reduce the bandwidth requirements, and battery consumptions, but when the update rate of data at the server is high, then most of the existing approaches have long query latency due to large and fixed size of IRs, and broadcast time (BT) interval. To address these issues, in this paper, an adaptive cache invalidation technique (ACIT) is proposed. In comparison to the previous approaches, the proposed scheme uses different thresholds update rates for adaptive IR, and BT intervals. In the proposed scheme, only hot data updates in IR are recorded which results a less query delay, and bandwidth consumption. The performance of the proposed scheme was studied by extensive simulations by comparing it with the other state-of-the-art schemes using various metrics. The proposed scheme yields 1.5 times enhancement in query response time with a reduction in IR size to 25 % in comparison to other existing techniques. Moreover, there is a reduction of 119.89 % in broadcast time interval using the proposed scheme. Cache invalidation (dpeaa)DE-He213 Cooperative caching (dpeaa)DE-He213 Cache hit ratio (dpeaa)DE-He213 Wireless networks (dpeaa)DE-He213 Kumar, Neeraj verfasserin aut Enthalten in Telecommunication systems Dordrecht [u.a.] : Springer Science + Business Media B.V, 1993 62(2015), 1 vom: 03. Juni, Seite 149-165 (DE-627)319194779 (DE-600)2024222-0 1572-9451 nnns volume:62 year:2015 number:1 day:03 month:06 pages:149-165 https://dx.doi.org/10.1007/s11235-015-0070-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 53.00 ASE 05.00 ASE AR 62 2015 1 03 06 149-165 |
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Tiwari, Rajeev @@aut@@ Kumar, Neeraj @@aut@@ |
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Although there has been many efforts in the past to address this issue by using an invalidation report (IR)-based cache management schemes which reduce the bandwidth requirements, and battery consumptions, but when the update rate of data at the server is high, then most of the existing approaches have long query latency due to large and fixed size of IRs, and broadcast time (BT) interval. To address these issues, in this paper, an adaptive cache invalidation technique (ACIT) is proposed. In comparison to the previous approaches, the proposed scheme uses different thresholds update rates for adaptive IR, and BT intervals. In the proposed scheme, only hot data updates in IR are recorded which results a less query delay, and bandwidth consumption. The performance of the proposed scheme was studied by extensive simulations by comparing it with the other state-of-the-art schemes using various metrics. The proposed scheme yields 1.5 times enhancement in query response time with a reduction in IR size to 25 % in comparison to other existing techniques. 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author |
Tiwari, Rajeev |
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Tiwari, Rajeev ddc 620 bkl 53.00 bkl 05.00 misc Cache invalidation misc Cooperative caching misc Cache hit ratio misc Wireless networks An adaptive cache invalidation technique for wireless environments |
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adaptive cache invalidation technique for wireless environments |
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An adaptive cache invalidation technique for wireless environments |
abstract |
Abstract With an evolution of Internet and related technologies such as 4G, and 5G, there is a need of fast response time for various queries raised by intermediate nodes and mobile terminals from infra structured-based/less networks. Although there has been many efforts in the past to address this issue by using an invalidation report (IR)-based cache management schemes which reduce the bandwidth requirements, and battery consumptions, but when the update rate of data at the server is high, then most of the existing approaches have long query latency due to large and fixed size of IRs, and broadcast time (BT) interval. To address these issues, in this paper, an adaptive cache invalidation technique (ACIT) is proposed. In comparison to the previous approaches, the proposed scheme uses different thresholds update rates for adaptive IR, and BT intervals. In the proposed scheme, only hot data updates in IR are recorded which results a less query delay, and bandwidth consumption. The performance of the proposed scheme was studied by extensive simulations by comparing it with the other state-of-the-art schemes using various metrics. The proposed scheme yields 1.5 times enhancement in query response time with a reduction in IR size to 25 % in comparison to other existing techniques. Moreover, there is a reduction of 119.89 % in broadcast time interval using the proposed scheme. |
abstractGer |
Abstract With an evolution of Internet and related technologies such as 4G, and 5G, there is a need of fast response time for various queries raised by intermediate nodes and mobile terminals from infra structured-based/less networks. Although there has been many efforts in the past to address this issue by using an invalidation report (IR)-based cache management schemes which reduce the bandwidth requirements, and battery consumptions, but when the update rate of data at the server is high, then most of the existing approaches have long query latency due to large and fixed size of IRs, and broadcast time (BT) interval. To address these issues, in this paper, an adaptive cache invalidation technique (ACIT) is proposed. In comparison to the previous approaches, the proposed scheme uses different thresholds update rates for adaptive IR, and BT intervals. In the proposed scheme, only hot data updates in IR are recorded which results a less query delay, and bandwidth consumption. The performance of the proposed scheme was studied by extensive simulations by comparing it with the other state-of-the-art schemes using various metrics. The proposed scheme yields 1.5 times enhancement in query response time with a reduction in IR size to 25 % in comparison to other existing techniques. Moreover, there is a reduction of 119.89 % in broadcast time interval using the proposed scheme. |
abstract_unstemmed |
Abstract With an evolution of Internet and related technologies such as 4G, and 5G, there is a need of fast response time for various queries raised by intermediate nodes and mobile terminals from infra structured-based/less networks. Although there has been many efforts in the past to address this issue by using an invalidation report (IR)-based cache management schemes which reduce the bandwidth requirements, and battery consumptions, but when the update rate of data at the server is high, then most of the existing approaches have long query latency due to large and fixed size of IRs, and broadcast time (BT) interval. To address these issues, in this paper, an adaptive cache invalidation technique (ACIT) is proposed. In comparison to the previous approaches, the proposed scheme uses different thresholds update rates for adaptive IR, and BT intervals. In the proposed scheme, only hot data updates in IR are recorded which results a less query delay, and bandwidth consumption. The performance of the proposed scheme was studied by extensive simulations by comparing it with the other state-of-the-art schemes using various metrics. The proposed scheme yields 1.5 times enhancement in query response time with a reduction in IR size to 25 % in comparison to other existing techniques. Moreover, there is a reduction of 119.89 % in broadcast time interval using the proposed scheme. |
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container_issue |
1 |
title_short |
An adaptive cache invalidation technique for wireless environments |
url |
https://dx.doi.org/10.1007/s11235-015-0070-1 |
remote_bool |
true |
author2 |
Kumar, Neeraj |
author2Str |
Kumar, Neeraj |
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319194779 |
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doi_str |
10.1007/s11235-015-0070-1 |
up_date |
2024-07-03T16:22:32.452Z |
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score |
7.4012938 |