The Power of SDN to Improve the Estimation of the ISP Traffic Matrix Through the Flow Spread Concept
Traffic matrix estimation in communication network is a long standing problem for its intrinsic difficulty and potential benefit to a vast number of network optimization and management functions. We address the improvement of the traffic matrix estimation by means of selected traffic flow measuremen...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Polverini, Marco [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: IEEE journal on selected areas in communications - New York, NY : IEEE, 1983, 34(2016), 6, Seite 1904-1913 |
|---|---|
| Übergeordnetes Werk: |
volume:34 ; year:2016 ; number:6 ; pages:1904-1913 |
| Links: |
|---|
| DOI / URN: |
10.1109/JSAC.2016.2559178 |
|---|
| Katalog-ID: |
OLC1977986994 |
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| 520 | |a Traffic matrix estimation in communication network is a long standing problem for its intrinsic difficulty and potential benefit to a vast number of network optimization and management functions. We address the improvement of the traffic matrix estimation by means of selected traffic flow measurements, besides the easily obtained link load measurements. The key contribution of this paper is the definition and assessment of an effective criterion, based on the flow spread parameter, to identify the flows to be measured that reduce the estimation error most. It turns out that a small percentage of flows are enough to drive the estimation error an order of magnitude lower than the one obtained with the classical solution solely based on link load measurements. Our algorithm, referred to as flow spread-based algorithm (FSBA), is also able to distribute measurement tasks fairly among network nodes, taking into account the available forwarding tables space. We also show that FSBA outperforms the state-of-the-art similar approaches. A detailed discussion on how the observation of the desired flows can be performed is done as well, by addressing the SDN paradigm. This is in fact a rapidly growing concept that enables individual flow measurements, though for only a limited number of flows to be practical with current technology. | ||
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| 650 | 4 | |a Estimation error | |
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| 700 | 1 | |a Listanti, Marco |4 oth | |
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10.1109/JSAC.2016.2559178 doi PQ20160719 (DE-627)OLC1977986994 (DE-599)GBVOLC1977986994 (PRQ)c1319-e9a3742ac9762d50d749bdf0833ef4409af575cf5b49b3fc7a20c2f47832c21b0 (KEY)0128448720160000034000601904powerofsdntoimprovetheestimationoftheisptrafficmat DE-627 ger DE-627 rakwb eng 620 DNB 53.00 bkl Polverini, Marco verfasserin aut The Power of SDN to Improve the Estimation of the ISP Traffic Matrix Through the Flow Spread Concept 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Traffic matrix estimation in communication network is a long standing problem for its intrinsic difficulty and potential benefit to a vast number of network optimization and management functions. We address the improvement of the traffic matrix estimation by means of selected traffic flow measurements, besides the easily obtained link load measurements. The key contribution of this paper is the definition and assessment of an effective criterion, based on the flow spread parameter, to identify the flows to be measured that reduce the estimation error most. It turns out that a small percentage of flows are enough to drive the estimation error an order of magnitude lower than the one obtained with the classical solution solely based on link load measurements. Our algorithm, referred to as flow spread-based algorithm (FSBA), is also able to distribute measurement tasks fairly among network nodes, taking into account the available forwarding tables space. We also show that FSBA outperforms the state-of-the-art similar approaches. A detailed discussion on how the observation of the desired flows can be performed is done as well, by addressing the SDN paradigm. This is in fact a rapidly growing concept that enables individual flow measurements, though for only a limited number of flows to be practical with current technology. Software Measurement uncertainty Estimation error Switches Software Defined Network Routing Linear systems Traffic Matrix Estimation Baiocchi, Andrea oth Cianfrani, Antonio oth Iacovazzi, Alfonso oth Listanti, Marco oth Enthalten in IEEE journal on selected areas in communications New York, NY : IEEE, 1983 34(2016), 6, Seite 1904-1913 (DE-627)130399868 (DE-600)605072-4 (DE-576)015903427 0733-8716 nnns volume:34 year:2016 number:6 pages:1904-1913 http://dx.doi.org/10.1109/JSAC.2016.2559178 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7460177 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MKW GBV_ILN_70 GBV_ILN_2014 GBV_ILN_2061 53.00 AVZ AR 34 2016 6 1904-1913 |
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10.1109/JSAC.2016.2559178 doi PQ20160719 (DE-627)OLC1977986994 (DE-599)GBVOLC1977986994 (PRQ)c1319-e9a3742ac9762d50d749bdf0833ef4409af575cf5b49b3fc7a20c2f47832c21b0 (KEY)0128448720160000034000601904powerofsdntoimprovetheestimationoftheisptrafficmat DE-627 ger DE-627 rakwb eng 620 DNB 53.00 bkl Polverini, Marco verfasserin aut The Power of SDN to Improve the Estimation of the ISP Traffic Matrix Through the Flow Spread Concept 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Traffic matrix estimation in communication network is a long standing problem for its intrinsic difficulty and potential benefit to a vast number of network optimization and management functions. We address the improvement of the traffic matrix estimation by means of selected traffic flow measurements, besides the easily obtained link load measurements. The key contribution of this paper is the definition and assessment of an effective criterion, based on the flow spread parameter, to identify the flows to be measured that reduce the estimation error most. It turns out that a small percentage of flows are enough to drive the estimation error an order of magnitude lower than the one obtained with the classical solution solely based on link load measurements. Our algorithm, referred to as flow spread-based algorithm (FSBA), is also able to distribute measurement tasks fairly among network nodes, taking into account the available forwarding tables space. We also show that FSBA outperforms the state-of-the-art similar approaches. A detailed discussion on how the observation of the desired flows can be performed is done as well, by addressing the SDN paradigm. This is in fact a rapidly growing concept that enables individual flow measurements, though for only a limited number of flows to be practical with current technology. Software Measurement uncertainty Estimation error Switches Software Defined Network Routing Linear systems Traffic Matrix Estimation Baiocchi, Andrea oth Cianfrani, Antonio oth Iacovazzi, Alfonso oth Listanti, Marco oth Enthalten in IEEE journal on selected areas in communications New York, NY : IEEE, 1983 34(2016), 6, Seite 1904-1913 (DE-627)130399868 (DE-600)605072-4 (DE-576)015903427 0733-8716 nnns volume:34 year:2016 number:6 pages:1904-1913 http://dx.doi.org/10.1109/JSAC.2016.2559178 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7460177 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MKW GBV_ILN_70 GBV_ILN_2014 GBV_ILN_2061 53.00 AVZ AR 34 2016 6 1904-1913 |
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10.1109/JSAC.2016.2559178 doi PQ20160719 (DE-627)OLC1977986994 (DE-599)GBVOLC1977986994 (PRQ)c1319-e9a3742ac9762d50d749bdf0833ef4409af575cf5b49b3fc7a20c2f47832c21b0 (KEY)0128448720160000034000601904powerofsdntoimprovetheestimationoftheisptrafficmat DE-627 ger DE-627 rakwb eng 620 DNB 53.00 bkl Polverini, Marco verfasserin aut The Power of SDN to Improve the Estimation of the ISP Traffic Matrix Through the Flow Spread Concept 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Traffic matrix estimation in communication network is a long standing problem for its intrinsic difficulty and potential benefit to a vast number of network optimization and management functions. We address the improvement of the traffic matrix estimation by means of selected traffic flow measurements, besides the easily obtained link load measurements. The key contribution of this paper is the definition and assessment of an effective criterion, based on the flow spread parameter, to identify the flows to be measured that reduce the estimation error most. It turns out that a small percentage of flows are enough to drive the estimation error an order of magnitude lower than the one obtained with the classical solution solely based on link load measurements. Our algorithm, referred to as flow spread-based algorithm (FSBA), is also able to distribute measurement tasks fairly among network nodes, taking into account the available forwarding tables space. We also show that FSBA outperforms the state-of-the-art similar approaches. A detailed discussion on how the observation of the desired flows can be performed is done as well, by addressing the SDN paradigm. This is in fact a rapidly growing concept that enables individual flow measurements, though for only a limited number of flows to be practical with current technology. Software Measurement uncertainty Estimation error Switches Software Defined Network Routing Linear systems Traffic Matrix Estimation Baiocchi, Andrea oth Cianfrani, Antonio oth Iacovazzi, Alfonso oth Listanti, Marco oth Enthalten in IEEE journal on selected areas in communications New York, NY : IEEE, 1983 34(2016), 6, Seite 1904-1913 (DE-627)130399868 (DE-600)605072-4 (DE-576)015903427 0733-8716 nnns volume:34 year:2016 number:6 pages:1904-1913 http://dx.doi.org/10.1109/JSAC.2016.2559178 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7460177 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MKW GBV_ILN_70 GBV_ILN_2014 GBV_ILN_2061 53.00 AVZ AR 34 2016 6 1904-1913 |
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10.1109/JSAC.2016.2559178 doi PQ20160719 (DE-627)OLC1977986994 (DE-599)GBVOLC1977986994 (PRQ)c1319-e9a3742ac9762d50d749bdf0833ef4409af575cf5b49b3fc7a20c2f47832c21b0 (KEY)0128448720160000034000601904powerofsdntoimprovetheestimationoftheisptrafficmat DE-627 ger DE-627 rakwb eng 620 DNB 53.00 bkl Polverini, Marco verfasserin aut The Power of SDN to Improve the Estimation of the ISP Traffic Matrix Through the Flow Spread Concept 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Traffic matrix estimation in communication network is a long standing problem for its intrinsic difficulty and potential benefit to a vast number of network optimization and management functions. We address the improvement of the traffic matrix estimation by means of selected traffic flow measurements, besides the easily obtained link load measurements. The key contribution of this paper is the definition and assessment of an effective criterion, based on the flow spread parameter, to identify the flows to be measured that reduce the estimation error most. It turns out that a small percentage of flows are enough to drive the estimation error an order of magnitude lower than the one obtained with the classical solution solely based on link load measurements. Our algorithm, referred to as flow spread-based algorithm (FSBA), is also able to distribute measurement tasks fairly among network nodes, taking into account the available forwarding tables space. We also show that FSBA outperforms the state-of-the-art similar approaches. A detailed discussion on how the observation of the desired flows can be performed is done as well, by addressing the SDN paradigm. This is in fact a rapidly growing concept that enables individual flow measurements, though for only a limited number of flows to be practical with current technology. Software Measurement uncertainty Estimation error Switches Software Defined Network Routing Linear systems Traffic Matrix Estimation Baiocchi, Andrea oth Cianfrani, Antonio oth Iacovazzi, Alfonso oth Listanti, Marco oth Enthalten in IEEE journal on selected areas in communications New York, NY : IEEE, 1983 34(2016), 6, Seite 1904-1913 (DE-627)130399868 (DE-600)605072-4 (DE-576)015903427 0733-8716 nnns volume:34 year:2016 number:6 pages:1904-1913 http://dx.doi.org/10.1109/JSAC.2016.2559178 Volltext http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7460177 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MKW GBV_ILN_70 GBV_ILN_2014 GBV_ILN_2061 53.00 AVZ AR 34 2016 6 1904-1913 |
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620 DNB 53.00 bkl The Power of SDN to Improve the Estimation of the ISP Traffic Matrix Through the Flow Spread Concept Software Measurement uncertainty Estimation error Switches Software Defined Network Routing Linear systems Traffic Matrix Estimation |
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ddc 620 bkl 53.00 misc Software misc Measurement uncertainty misc Estimation error misc Switches misc Software Defined Network misc Routing misc Linear systems misc Traffic Matrix Estimation |
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ddc 620 bkl 53.00 misc Software misc Measurement uncertainty misc Estimation error misc Switches misc Software Defined Network misc Routing misc Linear systems misc Traffic Matrix Estimation |
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ddc 620 bkl 53.00 misc Software misc Measurement uncertainty misc Estimation error misc Switches misc Software Defined Network misc Routing misc Linear systems misc Traffic Matrix Estimation |
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The Power of SDN to Improve the Estimation of the ISP Traffic Matrix Through the Flow Spread Concept |
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The Power of SDN to Improve the Estimation of the ISP Traffic Matrix Through the Flow Spread Concept |
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Polverini, Marco |
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power of sdn to improve the estimation of the isp traffic matrix through the flow spread concept |
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The Power of SDN to Improve the Estimation of the ISP Traffic Matrix Through the Flow Spread Concept |
| abstract |
Traffic matrix estimation in communication network is a long standing problem for its intrinsic difficulty and potential benefit to a vast number of network optimization and management functions. We address the improvement of the traffic matrix estimation by means of selected traffic flow measurements, besides the easily obtained link load measurements. The key contribution of this paper is the definition and assessment of an effective criterion, based on the flow spread parameter, to identify the flows to be measured that reduce the estimation error most. It turns out that a small percentage of flows are enough to drive the estimation error an order of magnitude lower than the one obtained with the classical solution solely based on link load measurements. Our algorithm, referred to as flow spread-based algorithm (FSBA), is also able to distribute measurement tasks fairly among network nodes, taking into account the available forwarding tables space. We also show that FSBA outperforms the state-of-the-art similar approaches. A detailed discussion on how the observation of the desired flows can be performed is done as well, by addressing the SDN paradigm. This is in fact a rapidly growing concept that enables individual flow measurements, though for only a limited number of flows to be practical with current technology. |
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Traffic matrix estimation in communication network is a long standing problem for its intrinsic difficulty and potential benefit to a vast number of network optimization and management functions. We address the improvement of the traffic matrix estimation by means of selected traffic flow measurements, besides the easily obtained link load measurements. The key contribution of this paper is the definition and assessment of an effective criterion, based on the flow spread parameter, to identify the flows to be measured that reduce the estimation error most. It turns out that a small percentage of flows are enough to drive the estimation error an order of magnitude lower than the one obtained with the classical solution solely based on link load measurements. Our algorithm, referred to as flow spread-based algorithm (FSBA), is also able to distribute measurement tasks fairly among network nodes, taking into account the available forwarding tables space. We also show that FSBA outperforms the state-of-the-art similar approaches. A detailed discussion on how the observation of the desired flows can be performed is done as well, by addressing the SDN paradigm. This is in fact a rapidly growing concept that enables individual flow measurements, though for only a limited number of flows to be practical with current technology. |
| abstract_unstemmed |
Traffic matrix estimation in communication network is a long standing problem for its intrinsic difficulty and potential benefit to a vast number of network optimization and management functions. We address the improvement of the traffic matrix estimation by means of selected traffic flow measurements, besides the easily obtained link load measurements. The key contribution of this paper is the definition and assessment of an effective criterion, based on the flow spread parameter, to identify the flows to be measured that reduce the estimation error most. It turns out that a small percentage of flows are enough to drive the estimation error an order of magnitude lower than the one obtained with the classical solution solely based on link load measurements. Our algorithm, referred to as flow spread-based algorithm (FSBA), is also able to distribute measurement tasks fairly among network nodes, taking into account the available forwarding tables space. We also show that FSBA outperforms the state-of-the-art similar approaches. A detailed discussion on how the observation of the desired flows can be performed is done as well, by addressing the SDN paradigm. This is in fact a rapidly growing concept that enables individual flow measurements, though for only a limited number of flows to be practical with current technology. |
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The Power of SDN to Improve the Estimation of the ISP Traffic Matrix Through the Flow Spread Concept |
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http://dx.doi.org/10.1109/JSAC.2016.2559178 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7460177 |
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Baiocchi, Andrea Cianfrani, Antonio Iacovazzi, Alfonso Listanti, Marco |
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