BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121115T161000Z
DTEND:20121115T163000Z
LOCATION:155-F2
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: Enormous progress has been made in networking to support scientific use cases.  Research and Education (R&E) backbones, including the Energy Sciences Network and Internet2, provide general-purpose services to allocate dedicated bandwidth. Many applications including bulk data transfer can often achieve significantly higher performance from virtually loss-free dedicated links than from opportunistic use.=0A=0ABandwidth reservation introduces scheduling issues due to the relatively coarse grain of the allocations. Thus, links may appear full when in reality there may be multiple independent paths with aggregate available bandwidth to satisfy the request.  Thus, applications may improve performance by using a combination of traditional "best effort" services and dynamic dedicated bandwidth with, e.g., OSCARS or Software Defined Networking (SDN).  To meet this challenge, we propose using multiple paths for the same application transfer session. This may also facilitate performance with applications using multiple 10g NICs over 100g paths.=0A=0AGridFTP is widely used for bulk data movement. GridFTP transfers usually create parallel TCP streams, often along the same network topology.  Intelligent session layer overlays, such as the Phoebus/XSP infrastructure, enable access to WAN acceleration techniques and transparent use of dynamic networking technologies. Embedded NetLogger monitoring can detect whether disks or networks are the limiting segment.=0A=0AThe SCinet Research Sandbox will allow us to evaluate strategies that transparently map traffic to different paths, using available SDN capabilities.  We will monitor the performance using our monitoring architecture called Periscope, and dynamically adapt the use of multipath capabilities based on knowledge of the end-to-end bottleneck.
SUMMARY:Exploiting Network Parallelism for Improving Data Transfer Performance
PRIORITY:3
END:VEVENT
END:VCALENDAR
BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121115T161000Z
DTEND:20121115T163000Z
LOCATION:155-F2
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: Enormous progress has been made in networking to support scientific use cases.  Research and Education (R&E) backbones, including the Energy Sciences Network and Internet2, provide general-purpose services to allocate dedicated bandwidth. Many applications including bulk data transfer can often achieve significantly higher performance from virtually loss-free dedicated links than from opportunistic use.=0A=0ABandwidth reservation introduces scheduling issues due to the relatively coarse grain of the allocations. Thus, links may appear full when in reality there may be multiple independent paths with aggregate available bandwidth to satisfy the request.  Thus, applications may improve performance by using a combination of traditional "best effort" services and dynamic dedicated bandwidth with, e.g., OSCARS or Software Defined Networking (SDN).  To meet this challenge, we propose using multiple paths for the same application transfer session. This may also facilitate performance with applications using multiple 10g NICs over 100g paths.=0A=0AGridFTP is widely used for bulk data movement. GridFTP transfers usually create parallel TCP streams, often along the same network topology.  Intelligent session layer overlays, such as the Phoebus/XSP infrastructure, enable access to WAN acceleration techniques and transparent use of dynamic networking technologies. Embedded NetLogger monitoring can detect whether disks or networks are the limiting segment.=0A=0AThe SCinet Research Sandbox will allow us to evaluate strategies that transparently map traffic to different paths, using available SDN capabilities.  We will monitor the performance using our monitoring architecture called Periscope, and dynamically adapt the use of multipath capabilities based on knowledge of the end-to-end bottleneck.
SUMMARY:Exploiting Network Parallelism for Improving Data Transfer Performance
PRIORITY:3
END:VEVENT
END:VCALENDAR