Grid-based recording and replay architecture in hybrid remote experiment using distributed streaming network

Abstract We present a grid-based system that enables researchers in civil engineering to conduct hybrid remote experiments as well as to record and replay these experiments. The system has been designed for Real Time Hybrid Testing Facility in the Korea Construction Engineering Development (KOCED) p...
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Gespeichert in:

Autor*in:	Lee, Jang Ho [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2013

Schlagwörter:	Grid computing E-science Remote laboratory Hybrid test Open grid services architecture Recording and replay Scalability

Übergeordnetes Werk:	Enthalten in: The journal of supercomputing - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1987, 67(2013), 3 vom: 13. Aug., Seite 757-777
Übergeordnetes Werk:	volume:67 ; year:2013 ; number:3 ; day:13 ; month:08 ; pages:757-777

Links:	Volltext

DOI / URN:	10.1007/s11227-013-0996-6

Katalog-ID:	SPR018271502

Internformat


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520			\|a Abstract We present a grid-based system that enables researchers in civil engineering to conduct hybrid remote experiments as well as to record and replay these experiments. The system has been designed for Real Time Hybrid Testing Facility in the Korea Construction Engineering Development (KOCED) project and has been implemented based on the Open Service Grid Architecture (OGSA) and the Open System for Earthquake Engineering Simulation (OpenSees) for modeling and computational simulation on structural systems. Users can access the system with a Java client for data visualization and video monitoring through an Internet portal using a web browser. The system runs on a network of distributed NaradaBrokering streaming servers and exploits RFT and GridFTP for reliable file transfer. The main contribution of this paper is that we propose an scalable grid-based recording and replay architecture for remote experiment using distributed streaming network that can scale to support a growing large number of clients simultaneously. We also evaluate the performance of the proposed extensible architecture of distributed servers with mathematical modeling as well as simulations to show how it scales to cope with a growing large number of clients at the same time.
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author_variant	j h l jh jhl
matchkey_str	article:15730484:2013----::rdaercrignrpaacietrihbirmteprmnuig
hierarchy_sort_str	2013
bklnumber	54.20
publishDate	2013
allfields	10.1007/s11227-013-0996-6 doi (DE-627)SPR018271502 (SPR)s11227-013-0996-6-e DE-627 ger DE-627 rakwb eng 004 620 ASE 54.20 bkl Lee, Jang Ho verfasserin aut Grid-based recording and replay architecture in hybrid remote experiment using distributed streaming network 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We present a grid-based system that enables researchers in civil engineering to conduct hybrid remote experiments as well as to record and replay these experiments. The system has been designed for Real Time Hybrid Testing Facility in the Korea Construction Engineering Development (KOCED) project and has been implemented based on the Open Service Grid Architecture (OGSA) and the Open System for Earthquake Engineering Simulation (OpenSees) for modeling and computational simulation on structural systems. Users can access the system with a Java client for data visualization and video monitoring through an Internet portal using a web browser. The system runs on a network of distributed NaradaBrokering streaming servers and exploits RFT and GridFTP for reliable file transfer. The main contribution of this paper is that we propose an scalable grid-based recording and replay architecture for remote experiment using distributed streaming network that can scale to support a growing large number of clients simultaneously. We also evaluate the performance of the proposed extensible architecture of distributed servers with mathematical modeling as well as simulations to show how it scales to cope with a growing large number of clients at the same time. Grid computing (dpeaa)DE-He213 E-science (dpeaa)DE-He213 Remote laboratory (dpeaa)DE-He213 Hybrid test (dpeaa)DE-He213 Open grid services architecture (dpeaa)DE-He213 Recording and replay (dpeaa)DE-He213 Scalability (dpeaa)DE-He213 Enthalten in The journal of supercomputing Dordrecht [u.a.] : Springer Science + Business Media B.V, 1987 67(2013), 3 vom: 13. Aug., Seite 757-777 (DE-627)271350202 (DE-600)1479917-0 1573-0484 nnns volume:67 year:2013 number:3 day:13 month:08 pages:757-777 https://dx.doi.org/10.1007/s11227-013-0996-6 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_101 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_206 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_2056 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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.20 ASE AR 67 2013 3 13 08 757-777
spelling	10.1007/s11227-013-0996-6 doi (DE-627)SPR018271502 (SPR)s11227-013-0996-6-e DE-627 ger DE-627 rakwb eng 004 620 ASE 54.20 bkl Lee, Jang Ho verfasserin aut Grid-based recording and replay architecture in hybrid remote experiment using distributed streaming network 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We present a grid-based system that enables researchers in civil engineering to conduct hybrid remote experiments as well as to record and replay these experiments. The system has been designed for Real Time Hybrid Testing Facility in the Korea Construction Engineering Development (KOCED) project and has been implemented based on the Open Service Grid Architecture (OGSA) and the Open System for Earthquake Engineering Simulation (OpenSees) for modeling and computational simulation on structural systems. Users can access the system with a Java client for data visualization and video monitoring through an Internet portal using a web browser. The system runs on a network of distributed NaradaBrokering streaming servers and exploits RFT and GridFTP for reliable file transfer. The main contribution of this paper is that we propose an scalable grid-based recording and replay architecture for remote experiment using distributed streaming network that can scale to support a growing large number of clients simultaneously. We also evaluate the performance of the proposed extensible architecture of distributed servers with mathematical modeling as well as simulations to show how it scales to cope with a growing large number of clients at the same time. Grid computing (dpeaa)DE-He213 E-science (dpeaa)DE-He213 Remote laboratory (dpeaa)DE-He213 Hybrid test (dpeaa)DE-He213 Open grid services architecture (dpeaa)DE-He213 Recording and replay (dpeaa)DE-He213 Scalability (dpeaa)DE-He213 Enthalten in The journal of supercomputing Dordrecht [u.a.] : Springer Science + Business Media B.V, 1987 67(2013), 3 vom: 13. Aug., Seite 757-777 (DE-627)271350202 (DE-600)1479917-0 1573-0484 nnns volume:67 year:2013 number:3 day:13 month:08 pages:757-777 https://dx.doi.org/10.1007/s11227-013-0996-6 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_101 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_206 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_2056 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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.20 ASE AR 67 2013 3 13 08 757-777
allfields_unstemmed	10.1007/s11227-013-0996-6 doi (DE-627)SPR018271502 (SPR)s11227-013-0996-6-e DE-627 ger DE-627 rakwb eng 004 620 ASE 54.20 bkl Lee, Jang Ho verfasserin aut Grid-based recording and replay architecture in hybrid remote experiment using distributed streaming network 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We present a grid-based system that enables researchers in civil engineering to conduct hybrid remote experiments as well as to record and replay these experiments. The system has been designed for Real Time Hybrid Testing Facility in the Korea Construction Engineering Development (KOCED) project and has been implemented based on the Open Service Grid Architecture (OGSA) and the Open System for Earthquake Engineering Simulation (OpenSees) for modeling and computational simulation on structural systems. Users can access the system with a Java client for data visualization and video monitoring through an Internet portal using a web browser. The system runs on a network of distributed NaradaBrokering streaming servers and exploits RFT and GridFTP for reliable file transfer. The main contribution of this paper is that we propose an scalable grid-based recording and replay architecture for remote experiment using distributed streaming network that can scale to support a growing large number of clients simultaneously. We also evaluate the performance of the proposed extensible architecture of distributed servers with mathematical modeling as well as simulations to show how it scales to cope with a growing large number of clients at the same time. Grid computing (dpeaa)DE-He213 E-science (dpeaa)DE-He213 Remote laboratory (dpeaa)DE-He213 Hybrid test (dpeaa)DE-He213 Open grid services architecture (dpeaa)DE-He213 Recording and replay (dpeaa)DE-He213 Scalability (dpeaa)DE-He213 Enthalten in The journal of supercomputing Dordrecht [u.a.] : Springer Science + Business Media B.V, 1987 67(2013), 3 vom: 13. Aug., Seite 757-777 (DE-627)271350202 (DE-600)1479917-0 1573-0484 nnns volume:67 year:2013 number:3 day:13 month:08 pages:757-777 https://dx.doi.org/10.1007/s11227-013-0996-6 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_101 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_206 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_2056 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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.20 ASE AR 67 2013 3 13 08 757-777
allfieldsGer	10.1007/s11227-013-0996-6 doi (DE-627)SPR018271502 (SPR)s11227-013-0996-6-e DE-627 ger DE-627 rakwb eng 004 620 ASE 54.20 bkl Lee, Jang Ho verfasserin aut Grid-based recording and replay architecture in hybrid remote experiment using distributed streaming network 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We present a grid-based system that enables researchers in civil engineering to conduct hybrid remote experiments as well as to record and replay these experiments. The system has been designed for Real Time Hybrid Testing Facility in the Korea Construction Engineering Development (KOCED) project and has been implemented based on the Open Service Grid Architecture (OGSA) and the Open System for Earthquake Engineering Simulation (OpenSees) for modeling and computational simulation on structural systems. Users can access the system with a Java client for data visualization and video monitoring through an Internet portal using a web browser. The system runs on a network of distributed NaradaBrokering streaming servers and exploits RFT and GridFTP for reliable file transfer. The main contribution of this paper is that we propose an scalable grid-based recording and replay architecture for remote experiment using distributed streaming network that can scale to support a growing large number of clients simultaneously. We also evaluate the performance of the proposed extensible architecture of distributed servers with mathematical modeling as well as simulations to show how it scales to cope with a growing large number of clients at the same time. Grid computing (dpeaa)DE-He213 E-science (dpeaa)DE-He213 Remote laboratory (dpeaa)DE-He213 Hybrid test (dpeaa)DE-He213 Open grid services architecture (dpeaa)DE-He213 Recording and replay (dpeaa)DE-He213 Scalability (dpeaa)DE-He213 Enthalten in The journal of supercomputing Dordrecht [u.a.] : Springer Science + Business Media B.V, 1987 67(2013), 3 vom: 13. Aug., Seite 757-777 (DE-627)271350202 (DE-600)1479917-0 1573-0484 nnns volume:67 year:2013 number:3 day:13 month:08 pages:757-777 https://dx.doi.org/10.1007/s11227-013-0996-6 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_101 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_206 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_2056 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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.20 ASE AR 67 2013 3 13 08 757-777
allfieldsSound	10.1007/s11227-013-0996-6 doi (DE-627)SPR018271502 (SPR)s11227-013-0996-6-e DE-627 ger DE-627 rakwb eng 004 620 ASE 54.20 bkl Lee, Jang Ho verfasserin aut Grid-based recording and replay architecture in hybrid remote experiment using distributed streaming network 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We present a grid-based system that enables researchers in civil engineering to conduct hybrid remote experiments as well as to record and replay these experiments. The system has been designed for Real Time Hybrid Testing Facility in the Korea Construction Engineering Development (KOCED) project and has been implemented based on the Open Service Grid Architecture (OGSA) and the Open System for Earthquake Engineering Simulation (OpenSees) for modeling and computational simulation on structural systems. Users can access the system with a Java client for data visualization and video monitoring through an Internet portal using a web browser. The system runs on a network of distributed NaradaBrokering streaming servers and exploits RFT and GridFTP for reliable file transfer. The main contribution of this paper is that we propose an scalable grid-based recording and replay architecture for remote experiment using distributed streaming network that can scale to support a growing large number of clients simultaneously. We also evaluate the performance of the proposed extensible architecture of distributed servers with mathematical modeling as well as simulations to show how it scales to cope with a growing large number of clients at the same time. Grid computing (dpeaa)DE-He213 E-science (dpeaa)DE-He213 Remote laboratory (dpeaa)DE-He213 Hybrid test (dpeaa)DE-He213 Open grid services architecture (dpeaa)DE-He213 Recording and replay (dpeaa)DE-He213 Scalability (dpeaa)DE-He213 Enthalten in The journal of supercomputing Dordrecht [u.a.] : Springer Science + Business Media B.V, 1987 67(2013), 3 vom: 13. Aug., Seite 757-777 (DE-627)271350202 (DE-600)1479917-0 1573-0484 nnns volume:67 year:2013 number:3 day:13 month:08 pages:757-777 https://dx.doi.org/10.1007/s11227-013-0996-6 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_101 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_206 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_2056 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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.20 ASE AR 67 2013 3 13 08 757-777
language	English
source	Enthalten in The journal of supercomputing 67(2013), 3 vom: 13. Aug., Seite 757-777 volume:67 year:2013 number:3 day:13 month:08 pages:757-777
sourceStr	Enthalten in The journal of supercomputing 67(2013), 3 vom: 13. Aug., Seite 757-777 volume:67 year:2013 number:3 day:13 month:08 pages:757-777
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Grid computing E-science Remote laboratory Hybrid test Open grid services architecture Recording and replay Scalability
dewey-raw	004
isfreeaccess_bool	false
container_title	The journal of supercomputing
authorswithroles_txt_mv	Lee, Jang Ho @@aut@@
publishDateDaySort_date	2013-08-13T00:00:00Z
hierarchy_top_id	271350202
dewey-sort	14
id	SPR018271502
language_de	englisch
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author	Lee, Jang Ho
spellingShingle	Lee, Jang Ho ddc 004 bkl 54.20 misc Grid computing misc E-science misc Remote laboratory misc Hybrid test misc Open grid services architecture misc Recording and replay misc Scalability Grid-based recording and replay architecture in hybrid remote experiment using distributed streaming network
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topic_title	004 620 ASE 54.20 bkl Grid-based recording and replay architecture in hybrid remote experiment using distributed streaming network Grid computing (dpeaa)DE-He213 E-science (dpeaa)DE-He213 Remote laboratory (dpeaa)DE-He213 Hybrid test (dpeaa)DE-He213 Open grid services architecture (dpeaa)DE-He213 Recording and replay (dpeaa)DE-He213 Scalability (dpeaa)DE-He213
topic	ddc 004 bkl 54.20 misc Grid computing misc E-science misc Remote laboratory misc Hybrid test misc Open grid services architecture misc Recording and replay misc Scalability
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title	Grid-based recording and replay architecture in hybrid remote experiment using distributed streaming network
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title_full	Grid-based recording and replay architecture in hybrid remote experiment using distributed streaming network
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title_sort	grid-based recording and replay architecture in hybrid remote experiment using distributed streaming network
title_auth	Grid-based recording and replay architecture in hybrid remote experiment using distributed streaming network
abstract	Abstract We present a grid-based system that enables researchers in civil engineering to conduct hybrid remote experiments as well as to record and replay these experiments. The system has been designed for Real Time Hybrid Testing Facility in the Korea Construction Engineering Development (KOCED) project and has been implemented based on the Open Service Grid Architecture (OGSA) and the Open System for Earthquake Engineering Simulation (OpenSees) for modeling and computational simulation on structural systems. Users can access the system with a Java client for data visualization and video monitoring through an Internet portal using a web browser. The system runs on a network of distributed NaradaBrokering streaming servers and exploits RFT and GridFTP for reliable file transfer. The main contribution of this paper is that we propose an scalable grid-based recording and replay architecture for remote experiment using distributed streaming network that can scale to support a growing large number of clients simultaneously. We also evaluate the performance of the proposed extensible architecture of distributed servers with mathematical modeling as well as simulations to show how it scales to cope with a growing large number of clients at the same time.
abstractGer	Abstract We present a grid-based system that enables researchers in civil engineering to conduct hybrid remote experiments as well as to record and replay these experiments. The system has been designed for Real Time Hybrid Testing Facility in the Korea Construction Engineering Development (KOCED) project and has been implemented based on the Open Service Grid Architecture (OGSA) and the Open System for Earthquake Engineering Simulation (OpenSees) for modeling and computational simulation on structural systems. Users can access the system with a Java client for data visualization and video monitoring through an Internet portal using a web browser. The system runs on a network of distributed NaradaBrokering streaming servers and exploits RFT and GridFTP for reliable file transfer. The main contribution of this paper is that we propose an scalable grid-based recording and replay architecture for remote experiment using distributed streaming network that can scale to support a growing large number of clients simultaneously. We also evaluate the performance of the proposed extensible architecture of distributed servers with mathematical modeling as well as simulations to show how it scales to cope with a growing large number of clients at the same time.
abstract_unstemmed	Abstract We present a grid-based system that enables researchers in civil engineering to conduct hybrid remote experiments as well as to record and replay these experiments. The system has been designed for Real Time Hybrid Testing Facility in the Korea Construction Engineering Development (KOCED) project and has been implemented based on the Open Service Grid Architecture (OGSA) and the Open System for Earthquake Engineering Simulation (OpenSees) for modeling and computational simulation on structural systems. Users can access the system with a Java client for data visualization and video monitoring through an Internet portal using a web browser. The system runs on a network of distributed NaradaBrokering streaming servers and exploits RFT and GridFTP for reliable file transfer. The main contribution of this paper is that we propose an scalable grid-based recording and replay architecture for remote experiment using distributed streaming network that can scale to support a growing large number of clients simultaneously. We also evaluate the performance of the proposed extensible architecture of distributed servers with mathematical modeling as well as simulations to show how it scales to cope with a growing large number of clients at the same time.
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title_short	Grid-based recording and replay architecture in hybrid remote experiment using distributed streaming network
url	https://dx.doi.org/10.1007/s11227-013-0996-6
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doi_str	10.1007/s11227-013-0996-6
up_date	2024-07-03T18:36:27.261Z
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Grid-based recording and replay architecture in hybrid remote experiment using distributed streaming network

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