05678nam 22008655 450 991014421290332120251116234359.03-540-39727-210.1007/10968987(CKB)1000000000212251(SSID)ssj0000324220(PQKBManifestationID)11254458(PQKBTitleCode)TC0000324220(PQKBWorkID)10304903(PQKB)10189498(DE-He213)978-3-540-39727-4(MiAaPQ)EBC3087562(Au-PeEL)EBL3087562(CaPaEBR)ebr10945501(OCoLC)953665390(PPN)155167480(BIP)9066483(EXLCZ)99100000000021225120121227d2003 u| 0engurnn|008mamaatxtccrJob Scheduling Strategies for Parallel Processing 9th International Workshop, JSSPP 2003, Seattle, WA, USA, June 24, 2003, Revised Papers /edited by Dror Feitelson, Larry Rudolph, Uwe Schwiegelshohn1st ed. 2003.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2003.1 online resource (VIII, 276 p.) Lecture Notes in Computer Science,0302-9743 ;2862Bibliographic Level Mode of Issuance: Monograph3-540-20405-9 Scheduling in HPC Resource Management Systems: Queuing vs. Planning -- TrellisDAG: A System for Structured DAG Scheduling -- SLURM: Simple Linux Utility for Resource Management -- OurGrid: An Approach to Easily Assemble Grids with Equitable Resource Sharing -- Scheduling of Parallel Jobs in a Heterogeneous Multi-site Environment -- A Measurement-Based Simulation Study of Processor Co-allocation in Multicluster Systems -- Grids for Enterprise Applications -- Performance Estimation for Scheduling on Shared Networks -- Scaling of Workload Traces -- Gang Scheduling Extensions for I/O Intensive Workloads -- Parallel Job Scheduling under Dynamic Workloads -- Backfilling with Lookahead to Optimize the Performance of Parallel Job Scheduling -- QoPS: A QoS Based Scheme for Parallel Job Scheduling.This volume contains the papers presented at the 9th workshopon Job Sched- ing Strategies for Parallel Processing, which was held in conjunction with HPDC12 and GGF8 in Seattle, Washington, on June 24, 2003. The papers went through a complete review process, with the full version being read and eva- ated by ?ve to seven members of the program committee. We would like to take this opportunity to thank the program committee, Su-Hui Chiang, Walfredo Cirne, Allen Downey, Wolfgang Gentzsch, Allan Gottlieb, Moe Jette, Richard Lagerstrom, Virginia Lo, Cathy McCann, Reagan Moore, Bill Nitzberg, Mark Squillante, and John Towns, for an excellent job. Thanks are also due to the authors for their submissions, presentations, and ?nal revisions for this volume. Finally, we would like to thank the MIT Laboratory for Computer Science and the School of Computer Science and Engineering at the Hebrew University for the use of their facilities in the preparation of these proceedings. This year we had papers on three main topics. The ?rst was continued work on conventional parallel systems, including infrastructure and scheduling al- rithms. Notable extensions include the considerationof I/O and QoSissues. The secondmajortheme wasscheduling inthe contextofgridcomputing, whichc- tinues to be an area of much activity and rapid progress.The third area was the methodological aspects of evaluating the performance of parallel job scheduling.Lecture Notes in Computer Science,0302-9743 ;2862Computer architectureOperating systems (Computers)Computer arithmetic and logic unitsMicroprocessorsComputer programmingComputersComputer System Implementationhttps://scigraph.springernature.com/ontologies/product-market-codes/I13057Operating Systemshttps://scigraph.springernature.com/ontologies/product-market-codes/I14045Arithmetic and Logic Structureshttps://scigraph.springernature.com/ontologies/product-market-codes/I12026Processor Architectureshttps://scigraph.springernature.com/ontologies/product-market-codes/I13014Programming Techniqueshttps://scigraph.springernature.com/ontologies/product-market-codes/I14010Computation by Abstract Deviceshttps://scigraph.springernature.com/ontologies/product-market-codes/I16013Computer architecture.Operating systems (Computers)Computer arithmetic and logic units.Microprocessors.Computer programming.Computers.Computer System Implementation.Operating Systems.Arithmetic and Logic Structures.Processor Architectures.Programming Techniques.Computation by Abstract Devices.004/.35Feitelson Droredthttp://id.loc.gov/vocabulary/relators/edtRudolph Larryedthttp://id.loc.gov/vocabulary/relators/edtSchwiegelshohn Uweedthttp://id.loc.gov/vocabulary/relators/edtJSSPP 2003MiAaPQMiAaPQMiAaPQBOOK9910144212903321Job Scheduling Strategies for Parallel Processing2569128UNINA11268nam 22006733 450 991101934020332120260113181631.09781394179268139417926X9781394179275139417927897813941792511394179251(PPN)28960303X(MiAaPQ)EBC31827048(Au-PeEL)EBL31827048(CKB)36973514500041(Perlego)4733218(OCoLC)1478700989(EXLCZ)993697351450004120241214d2024 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierDistributed Acoustic Sensing in Borehole Geophysics1st ed.Newark :John Wiley & Sons, Incorporated,2024.©2025.1 online resource (621 pages)Geophysical Monograph Series ;v.2889781394179244 1394179243 Cover Page -- Series Page -- Title Page -- Copyright Page -- Contents -- List of Contributors -- Preface -- Chapter 1 Recent Advances in Distributed Acoustic Sensing for Borehole geophysics -- 1.1 Introduction -- 1.2 Borehole Das Instrumentation and Modeling -- 1.3 Borehole Das Acquisition and Processing -- 1.4 Borehole Das Imaging and Inversion -- 1.5 Borehole Das Monitoring -- 1.6 Summary -- Acknowledgments -- References -- Part 1 Borehole Distributed Acoustic Sensing Instrumentation and Modeling -- Chapter 2 Integrated Distributed Strain Sensing for Wellbore and Reservoir monitoring -- 2.1 Introduction -- 2.2 Distributed Sensors Based on Optical Time Domain Technique -- 2.3 Optical Fiber Scattering Mechanism -- 2.4 Das with Different Types of Fibers -- 2.5 Low-frequency Das -- 2.6 Idss -- 2.7 Fiber Ruler -- 2.8 Distributed Rock Index .(or "R") Factor -- 2.9 Summary and Conclusion -- Acknowledgments -- References -- Chapter 3 A Microwave Photonics Optical Fiber Method for Measuring Distributed Strain for Hydrologic Applications in the Vadose and saturated Zones -- 3.1 Introduction -- 3.2 Distributed Sensing Using Optical Fibers with Microwave Photonics -- 3.2.1 Architecture and Theoretical Basis of Cmpi -- 3.2.2 Cmpi for Strain Measurement -- 3.2.3 Cmpi System Hardware -- 3.2.4 System Specification Trade-offs and Limitations -- 3.3 Strains Caused by Small Fluctuations in Air Pressure, an Application of Cmpi -- 3.3.1 Experimental Methods -- 3.3.2 Results -- Dry Experiment -- Fill-to-42 Experiment -- Drained Experiment -- Fill-to-29 Experiment -- Barrier Experiment -- Silt to 48.experiment -- Fill and Drain Experiment -- Analysis -- Discussion -- 3.4 Conclusion -- Acknowledgments -- Availability Statement -- References.Chapter 4 A Fiber-optic, Multicomponent Sensor for Borehole Seismic Formation Imaging and for Monitoring of Natural or Induced seismicity -- 4.1 Introduction -- 4.2 Seismic Imaging -- 4.2.1 Borehole Seismic Data -- 4.2.2 Locating Microseismic Sources -- 4.3 Hybrid Sensor Array -- 4.4 Fiber-optic Point Sensors -- 4.4.1 the Interrogation System -- 4.4.2 the Fiber-optic 3c Accelerometer -- Laboratory Data -- Field Data -- Field Data at High Frequencies -- Field Data at Really Low Frequencies -- 4.4.3 a Fiber-optic Pressure Sensor -- 4.5 Concluding Remarks -- Acknowledgments -- References -- Chapter 5 Three-component Distributed Acoustic Sensing Arrays with Three-dimensional Fiber Cable Deployment -- 5.1 Introduction -- 5.2 Fiber Cable Deployment Geometries of Das Arrays and Modeling Methods -- 5.2.1 Fiber Cable Deployment Geometries Of.das.arrays -- 5.2.2 Dtt Modeling Method -- 5.3 Dtt Modeling Results -- 5.3.1 Modeling Results for the Das Cross Array -- 5.3.2 Modeling Results for a Ccc Das Array -- 5.4 Correcting Das Amplitudes Distorted by Fiber Directivity -- 5.5 Synthetic Waveform Modeling with Two Velocity Models -- 5.6 Discussion -- 5.7 Conclusions -- Acknowledgments -- Availability Statement -- References -- Chapter 6 Comparing Distributed Acoustic Sensing and Geophone Vertical Seismic Profiling Imaging: Acquisition Efficiency of Distributed Acoustic Sensing Versus the Multicomponent Advantage of Geophone Data -- 6.1 Introduction -- 6.2 Numerical Simulated Wavefields -- 6.2.1 Simulated Wavefields in a Vertical Well -- 6.2.2 Simulated Wavefields in a Deviated Well -- 6.3 Comparison of Geophone and das images -- 6.4 Discussion and Conclusion -- Acknowledgments -- References -- Part 2 Borehole Distributed Acoustic Sensing Acquisition and Processing.Chapter 7 Smart Distributed Acoustic Sensing Uphole Acquisition System: bridging the Gap Between Surface Seismic and Borehole geophysics for Imaging and Monitoring in Complex Near-surface Environments -- 7.1 Introduction: Why Vertical Arrays? -- 7.2 Seismic Acquisition Aspects -- 7.3 Synthetic Case Study -- 7.3.1 Illumination and Angular Coverage Achieved By.vertical Arrays -- 7.3.2 Depth Imaging with Vertical Arrays -- 7.4 Field Experiment from A.desert Environment -- 7.4.1 Summary of the Field Acquisition -- 7.4.2 Characteristics of the Field Data and Comparison with Modeling -- 7.4.3 Processing and Imaging of Vertical-array Data -- 7.4.4 Comparison with Surface Seismic -- 7.4.5 Depth Imaging of Das Vertical-array Data and Image Sensitivity to the Near-surface Velocity -- 7.5 Near-surface Characterization Using the Smart Das Uphole Acquisition System -- 7.5.1 Smart Das Upholes -- 7.5.2 Simultaneous Tomographic Inversion Using Vertical and Horizontal Arrays -- 7.5.3 High-definition Surface-wave Inversion -- 7.5.4 High-definition Weathering Reflection Surveys -- 7.6 Toward 3D Implementation -- 7.6.1 Characterization and Imaging Below the Complex Near Surface -- 7.6.2 Monitoring Below a Complex and Changing Near.surface -- 7.7 Discussion -- 7.8 Conclusions -- Acknowledgments -- Availability Statement -- References -- Chapter 8 Joint Surface and Borehole Distributed Acoustic Sensing Vertical Seismic Profiling Data Acquisition and Processing -- 8.1 Introduction -- 8.2 Joint 3D Seismic Data and 3D VSP Data Acquisition -- 8.2.1 Joint Onshore 3D Seismic and 3D Das VSP Data.acquisition -- 8.2.2 Joint 3D OBN and 3D Das VSP Data Acquisition.in the East China Sea -- Joint 3D OBN and 3D Das VSP Data Acquisition In.the.middle East -- 8.3 3D Surface Seismic Data and Das VSP Data Processing.8.3.1 Enhanced 3D Seismic Data Processing Using Jointly Acquired Das VSP Data -- 8.3.2 3D Das VSP Data Processing for the East China Sea -- 8.3.3 Integrated Interpretation -- 8.3.4 3D Das VSP Data Processing in the Middle East -- Key Data Processing Techniques -- 3d Das VSP Data Deblending Processing. -- Preprocessing and Denoising. -- H -14pt Signal Deconvolution. -- H -14pt Wavefield Separation. -- H -18pt Remove Multiples and Increase Frequency. -- Velocity Model Building and Image Processing -- Vsp First Break Tomography Modeling. -- Vsp Fwi. -- Jdfwi. -- One-way Wave .equation.multiple Migration (owemm). -- Gather Processing After Migration. -- 8.4 Conclusions -- Acknowledgments -- Availability Statement -- References -- Chapter 9 Distributed Acoustic Sensing Acquired Wellbore Seismic Data Using Hybrid Wireline Cable: Field Data Examples -- 9.1 Introduction -- 9.2 Description of the Technology -- 9.3 Anatomy of A.das Record Acquired with Hybrid Logging Cable -- 9.4 P-wave Velocity Information -- 9.5 S-wave Velocity Information -- 9.6 Comparison of Das and Geophone -- 9.7 Das VSP in Slant or Highly Deviated Wells -- 9.8 Q Analysis from Das Zero-offset Data -- 9.9 Offshore Examples -- 9.10 Efficiency, Hse, and Cost Considerations -- 9.11 Some Challenges and Limitations of the Technology -- 9.12 Conclusions -- Acknowledgments -- Availability Statement -- References -- Chapter 10 Geothermal Reservoir Characterization Using Distributed Acoustic sensing from Vertical Seismic Profiling in Six Geothermal fields in Japan -- 10.1 Introduction -- 10.2 Supercritical Water as an Energy.source -- 10.3 Sensitivity of Different Das Cable.constructions -- 10.3.1 Comparison of Different Optical Fibers -- 10.3.2 Field Test Using Das and Seismometers -- 10.4 Geothermal Studies Using Das.and Dts -- 10.5 Geophysical Studies at Medipolis and Ohnuma Geothermal Fields.10.5.1 Case Study of Medipolis Geothermal Field -- 10.5.2 Case Study of Ohnuma Geothermal Field -- 10.5.3 Geothermal Importance of the Two Case Studies -- 10.6 Discussion of Influence of Temperature on Vp and vs -- 10.7 Fwi Approach -- 10.7.1 Simulation Model -- 10.7.2 Results of Fwi Simulation -- 10.8 Integration of Das Seismic Results, Dts Temperature Profile, and Existing Drilling and Geological and Geophysical Data -- 10.9 Discussion and Conclusions -- Acknowledgments -- References -- Chapter 11 Borehole and Surface Applications of Distributed Acoustic sensing for Characterization of the Cryosphere And glacial Environments -- 11.1 Introduction -- 11.2 Borehole Drilling Methods -- 11.3 Previous Borehole Experiments with Conventional Instrumentation -- 11.4 Borehole Applications of Das -- 11.5 Surface Applications of Das -- 11.6 Optimizing the Application of Das in Glaciological Settings -- 11.7 Practical Considerations -- 11.8 Discussion and Conclusions -- Acknowledgments -- Availability Statement -- References -- Chapter 12 Stratigraphic Test Well (hydrate-01) Distributed Acoustic Sensing 3D Vertical Seismic Profile Processing -- 12.1 Introduction -- 12.2 VSP Methodology and Das Technology -- 12.3 Depth Calibration and Data Acquisition -- 12.4 Data Qc -- 12.5 Processing -- 12.5.1 Preprocessing -- Time Picking -- Correction to Datum -- Geometrical Spreading Gain -- 12.5.2 Wavefield Separation -- Removing Downgoing Ps Waves -- Deconvolution -- Mapping and Migration -- 12.6 Structural Interpretation -- 12.7 Conclusion -- Acknowledgments -- Availability Statement -- References -- Chapter 13 Potential of Seismic Attenuation for Exploring Complex Media: a focus on Carbonate Rocks -- 13.1 Introduction -- 13.2 Attenuation Mechanisms -- 13.3 Correlation Between Seismic Attenuation and Key Petrophysical Parameters -- 13.3.1 Porosity and Permeability.13.3.2 Fluid Saturation."Distributed Acoustic Sensing (DAS) is a technology that uses laser light pulses and a fiber optic cable to measure acoustic or vibration signals along the entire length of a fiber cable up to a few tens of kilometers. DAS technologies have been widely applied in geophysics, geotechnical engineering, hazard mitigation and prevention, safety and security fields."--Provided by publisher.Geophysical Monograph SeriesGeophysicsMethodologyAcoustic imagingBoringsGeophysicsMethodology.Acoustic imaging.Borings.550.72/3Li Yingping1839053Mellors Robert1839054Zhan Ge1839055MiAaPQMiAaPQMiAaPQBOOK9911019340203321Distributed Acoustic Sensing in Borehole Geophysics4418180UNINA