SlideShare a Scribd company logo
Enabling The Effective Sharing of
Medical Images over Wide Area and
Wireless Networks
PRESENTER AND AGENDA




PRESENTER
                                                       AGENDA
Daniel Kumi
Director, New Market Development
                                        • Who and Why Aspera?
daniel@asperasoft.com                        • WAN & Wireless Transport
                                             • Transfers to/out of the Cloud
                                        • Healthcare Applications
                                             • PACS to PACS
                                             • Health Information Exchange
                                             • On-Demand Access
                                        • Possible Integrations—Hopkins,
                                          McKesson, Vital, WU School of medicine
                                        • Aspera-Intel Discussion
ASPERA’S MISSION




       Creating next-generation transport technologies
   that move the world’s digital assets at maximum speed,
regardless of file size, transfer distance and network conditions.
Aspera: moving the world’s digital assets at
                       maximum speed



                 50% YOY growth in revenue and employees


        Over 10,000 licenses sold, and over 1,500 customers world wide


     Expanded to Asia PAC and Latin America through direct and channel


                    Patents issued or pending in 32 countries


Continuing to innovate: fasp3™, fasp-MC™, mobile transport, cloud enablement
Aspera Ecosystem of Partners
Life Sciences
Life Sciences
BIG DATA TRANSFER CHALLENGE
What Happened to my Bandwidth?




                                          WAN


                                  1000 Mbps
     Seattle                      • 170ms RTT
                                  • 0.001% packet loss rate              Paris


WAN Throughput is 1000Mbps

Max TCP Throughput ~29Mbps

Where’s my 970Mbps?


                                                     At 29Mbps
                                                     50GB transfer will take 4 hrs
                                                     1TB transfer will take 3.3 days
BIG-DATA and WAN TRANSFER WITH TCP




TCP WAS DESIGNED IN THE EARLY 80’S
 •   When data was small & bandwidth was limited
 •   Fantastic for reliable data delivery
 •   Not fast enough for big-data

TCP IS THE ENGINE THAT DRIVES
 •   FTP, HTTP & HTTPS
 •   RSYNC, SCP & DICOM
 •   CIFS & NFS

TCP DOES NOT LIKE NETWORK LATENCY/ RTT
 •   Geographic distance increases latency
 •   Network congestion increases latency

TCP DOES NOT LIKE PACKET LOSS
 •   Loss is caused by congestion
 •   Different network capacity
 •   Wireless and satellite communications
So if TCP doesn’t work, what’s the answer?

The Aspera Solution
Same WAN Scenario with Aspera


                                                       WAN



                                               1000 Mbps
                                               • 170ms RTT
               Seattle                         • 0.001% packet loss rate                         Paris

WAN is 1000Mbps

Max TCP Throughput ~29Mbps

Max Aspera Throughput ~995Mbps (gain of x34)

ROI measured in $$ cost of not using 971Mbps



             At 995 Mbps
               •   50GB transfer will take ~4 hrs
                                                               •   1TB transfer will take 3.3 days
               •   50GB transfer will take ~7 mins
                                                               •   1TB transfer will take 2.4 hrs
FASP™ — HIGH-PERFORMANCE DATA TRANSPORT



MAXIMUM LINE-RATE WAN TRANSFER SPEED
 •   Transfer performance scales with bandwidth independent
     of transfer distance and resilient to packet loss
 •   Optimal end-to-end throughput efficiency

CONGESTION AVOIDANCE AND POLICY CONTROL
 •   Automatic, full utilization of available bandwidth
 •   On-the-fly prioritization and bandwidth allocation

UNCOMPROMISING SECURITY AND RELIABILITY
 •   Secure, user/endpoint authentication
 •   AES-128 cryptography in transit & at-rest

SCALABLE MANAGEMENT, MONITORING AND CONTROL
 •   Real-time progress, performance and bandwidth utilization
 •   Detailed transfer history, logging, and manifest

ENTERPRISE-CLASS FILE DELIVERY
 •   Transfers up to thousands of times faster than FTP/HTTP(S)
 •   Precise and predictable transfer times
 •   Extreme scalability (concurrency and throughput)
FASP vs TCP PERFORMANCE
fasp Bandwidth ROI


              FTP: Limited by Distance & Packet Loss, Not B/W

     FTP               Across US                 US – EU            US – ASIA           Satellite
     1 GB               1 – 2 hrs                2 – 4 hrs          4 – 20 hrs         8 – 20 hrs
     10 GB             15 – 20 hrs              20 – 40 hrs        Impractical        Impractical
     100 GB            Impractical              Impractical        Impractical        Impractical


              Aspera: Scales Linearly with Bandwidth

  fasp™            2 Mbps            10 Mbps       45 Mbps       100 Mbps        200 Mbps           1 Gbps
  1 GB             70 min.           14 min.       3.2 min.       1.4 min.        42 sec.           8.4 sec.
  10 GB            11.7 hrs          140 min.       32 min.       14 min.         7 min.            1.4 min.
  100 GB                             23.3 hrs       5.3 hrs       2.3 hrs         1.2 hrs           14 min.

              Distance & Packet Loss Independent
6 Gbps Scalable WAN Throughput

~6Gbps Big-Data Throughput                            x3000 improvement vs. TCP
   •   Latency independent                                 •   1TB data moved in 20 min
   •   Loss independent                                    •   2 days with TCP over LAN conditions




                               Scale to ~10Gbps with IQ Accelerator
High Speed Mobile Data Transfer with fasp-AIR™


fasp-AIR SDK – maximum data transfer speed and predictability for
mobile devices
 •   Embeddable software library allows app developers to integrate superior
     transport capabilities to their own applications such as faster and more
     predictable downloads/uploads.
 •   Available for Android and iOS on Aspera Developer Network
 •   Designed for wireless networks with high latency, high packet loss environments
 •   Integrated transfer queuing, pause, resume and progress reporting
 •   Achieves significant performance improvements for upload and download
     speeds over 3G, 4G and 802.11 g/n.
fasp-AIR Benchmarks on Verizon 4G




In some cases (highlighted in orange), speeds will vary
greatly, depending on available bandwidth and the underlying
condition of the wireless network.
GETTING IN AND OUT OF THE CLOUD
KNOWING WHEN TO CHOSE THE RIGHT TOOL
FIRST MAJOR BOTTLENECKS: WAN TRANSFER
SECOND MAJOR BOTTLENECKS: LOCAL HTTP I/O




1st Bottleneck - WAN




                        2nd Bottleneck — Data Center
CHALLENGES OF STORING BIG FILES IN THE CLOUD?



BEWARE THE OBJECT STORE:
 •   Not like traditional NAS or SAN
 •   Bigger, better, but possibly much more complex
 •   a.k.a. Google File System, Amazon S3, Hadoop Distributed File System
 •   Simple read/write of data “blobs”, indexed by a key
 •   Multiple replicas are distributed across storage for durability and optimized for access
 •   Should work well for storing large numbers of files

UNDERSTAND CHUNKS, BLOCKS and BLOBS
 •   You need to deal with chunks, blocks and blobs
 •   “Chunk” sizes are small (64 MB/128 MB)
     • Large media files must be “chunked” (1TB file = transporting and reassembling 10,000+ chunks!)
     • Multi-chunk APIs impede workflow and are complex
 •   Data I/O use the standard HTTP(s) protocol
     • VERY SLOW at distance
     • Single HTTP stream slow even locally (<100 Mbps).

M&E/ BIG-DATA SERVICES WILL NEED A HIGH-SPEED BRIDGE TO THE CLOUD
 •   Large files moved at full bandwidth capacity with global access
 •   Overcome the WAN and storage bottleneck
 •   Support files of any size or quantity
 •   Transparent to the end user/data owner (GUI, command line, API, browser, etc.)
 •   No hardware to support B2B, B2C, C2B workflow
S3 & BIG-DATA: UNDERSTAND THE CONTRAINTS
S3 & BIG-DATA: MEET ASPERA’s DIRECT-TO-S3




    client        cargo downloader



point-to-point      mobile apps



connect plug-in
ASPERA DIRECT-TO-S3 — LINE RATE ACCESS TO THE CLOUD



UNRIVALED ASPERA PERFORMANCE
 •   Built on Aspera fasp™ technology for maximum transfer speed
     • Regardless of file size, transfer distance and network conditions
 •   Precise bandwidth control ensures the available bandwidth is utilized to achieve maximum transfer speeds, while
     being fair to other business-critical network traffic

SEAMLESS INTEGRATION WITH S3
 •   Integrated with S3 multi-part HTTP for maximum “last foot” performance
 •   Simple configuration of S3 credentials, for both shared and dedicated docroot
 •   Transfers directly into S3 are seamless and transparent to user

ENTERPRISE-GRADE SECURITY AND RELIABILITY
 •   Secure authentication with encryption in transit & at rest (AES-128, FIPS 140-2, HIPPA Compliant)
 •   Packet-level data integrity verification
 •   Automatic resume of partial or failed transfers
 •   Full support for AWS S3 Service-side-encryption at rest

INTEROPERATES WITH ALL ASPERA HOST OPTIONS
 •   Any platform (Windows, Linux, MAC, UNIX, iOS, Android)
 •   Any Aspera Clients (CLI, Desktop, Point-to-Point, Mobile, Web, Embedded)
 •   Any Aspera Servers (Enterprise, Connect, faspex)
Aspera fasp™ software environment
ASPERA DEVELOPER NETWORK

A complete set of SDKs provides developers with guides, reference information, and sample code to assist them with
integrating Aspera technology into their own applications. Aspera fasp™ technology can be used in desktop, network-
based, and web applications in place of FTP, HTTP, or custom TCP-based copy protocols.

            ASPERA TRANSFER APIs                                                   ASPERA MOBILE APIs

      Aspera Web Services                                           Android SDK
      A SOAP based web service API that allows initiation,          Aspera Android SDK provides a Java API to transfer files using
      monitoring and controlling of fasp based file transfers.      fasp-AIR™.

                                                                    iPhone SDK
      Aspera Web                                                    Aspera iPhone SDK provides an Objective C API to transfer files
      Javascript API exposed by Aspera Connect client. It allows
                                                                    using fasp-AIR.
      integration of fasp based file transfers into web
      applications.
                                                                            ASPERA APPLICATION APIs
      Connect 2.8 developer Preview 2
      Introducing the new Connect 2.8 developer preview!            faspex™ Web API
      Integrate the functionality of Aspera Connect 2.8, a fasp-    The Aspera faspex Web API provides a set of services that enables
      based file transfer client, into your own web applications,   users to create and receive digital deliveries via a Web interface, while
      while customizing it to your unique brand.                    taking advantage of fasp high-speed transfer technology.

      fasp Manager
      A class library that allows intiations, monitoring and                      OTHER INFORMATION
      controlling of fasp based file transfers.
                                                                    Supporting Tools and Libraries
      Aspera Multicast SDK                                          Supporting tools and libraries let you perform other common tasks
      A Java class library that allows initiation and management    surrounding file transfers.
      of IP multicast based data transmissions using Aspera         General Reference
      fasp-MC™.
                                                                    Reference on error codes, log file locations, configuration files
                                                                    and more.
BIG-DATA: ACCESSED & DELIVERED BY ASPERA




    Media File transfer
HEALTHCARE APPLICATIONS
High-Speed Transfers Between DICOM Devises: Example:
                     Archive-to-Archive Transfers (fasp3 socket-based solution)




  DICOM                                                                      DICOM
PACS, Archive…                                                             PACS, Archive…


 Usual                                                                              Usual
DICOM                                                                              DICOM
 (TCP)                                                                              (TCP)


                          Regular sockets    Regular sockets
                          selected by fasp   selected by fasp
Socket            fasp3                                         fasp3            Socket




         Sender                                                         Receiver
Aspera Fasp Sockets Overview




Client Application            FASP-Pipe Proxy                                                            Application
                                                                                 FASP-Pipe Proxy
                                  Server                                                                 Data Source
                                                                                     Client
     Java                                                                                                   Java
     .NET                  Stream           F                                     F          Stream
                                                  FASP                    FASP    A   T
    C/C++                                   A                                                               .NET
    Socket           TCP
                               WebSocket
                                Server      S                WAN                  S   C            TCP
   HTML 5                                   P    FASP                    FASP     P   P                    C/C++
   WS Data                                                                        3         Message
                       Message              3
   SSE Data                                                                                                Socket
Use Case : On-Demand Access to Medical Images



Image Access Over Wireless or WAN links
 • Doctors will download medical images on demand
 • Images are kept ONLY in memory (compliance to regulations)
 • Aspera server would interface to WADO server to pull DICOM images using http/https requests to
   WADO server.
 • Option for Direct Access to Images Using fasp
Use Case : Server-Side Rendering & Remote Viewing of Medical
                                    Images Over WAN and Wireless Networks



•   Server side rendering, and delivery of rendered images to Viewing applications.
    • Thin Client
    • Thick Client
Use Case : Health Information Exchange



•   Drop in Replacement of HTTP with fasp for XDS-I
POSSIBLE INTEGRATIONS
Possible Integration



•   Peake Healthcare --Joint Venture Between Johns Hopkins and Harris Corporation
•   McKesson
•   Vital (MINT Use case)
•   Washington University School of Medicine
ASPERA-INTEL DISCUSSION
THANK YOU!

                   Daniel Kumi
                   Director, New Market Development
                   daniel@asperasoft.com




FOR MORE INFORMATION ON ANY ASPERA PRODUCT, PLEASE CONTACT:

                  sales@asperasoft.com

More Related Content

What's hot

Aspera Solution Overview - IBM Software
Aspera Solution Overview - IBM SoftwareAspera Solution Overview - IBM Software
Aspera Solution Overview - IBM Software
Sebastian Osterc
 
IBM Aspera for telecommunications
IBM Aspera for telecommunicationsIBM Aspera for telecommunications
IBM Aspera for telecommunications
Mohamed Morsi
 
Fast and secure protocol FASP
Fast and secure protocol FASPFast and secure protocol FASP
Fast and secure protocol FASP
manish maurya
 
IBM Aspera In Life Sciences
IBM Aspera In Life SciencesIBM Aspera In Life Sciences
IBM Aspera In Life Sciences
Chris Shaw
 
Understanding i pv6 2
Understanding i pv6 2Understanding i pv6 2
Understanding i pv6 2srmanjuskp
 
Ibm aspera full product overview april 2019
Ibm aspera full product overview april 2019Ibm aspera full product overview april 2019
Ibm aspera full product overview april 2019
Morten Bjørklund
 
Isilon_Performance_Brief_AsperaDS
Isilon_Performance_Brief_AsperaDSIsilon_Performance_Brief_AsperaDS
Isilon_Performance_Brief_AsperaDSJason Goodman
 
NANOG 82: DNS Evolution
NANOG 82: DNS EvolutionNANOG 82: DNS Evolution
NANOG 82: DNS Evolution
APNIC
 
Business Models for Dynamically Provisioned Optical Networks
Business Models for Dynamically Provisioned Optical NetworksBusiness Models for Dynamically Provisioned Optical Networks
Business Models for Dynamically Provisioned Optical Networks
Tal Lavian Ph.D.
 
High Performance Communication for Oracle using InfiniBand
High Performance Communication for Oracle using InfiniBandHigh Performance Communication for Oracle using InfiniBand
High Performance Communication for Oracle using InfiniBandwebhostingguy
 
Supporting Apache HBase : Troubleshooting and Supportability Improvements
Supporting Apache HBase : Troubleshooting and Supportability ImprovementsSupporting Apache HBase : Troubleshooting and Supportability Improvements
Supporting Apache HBase : Troubleshooting and Supportability Improvements
DataWorks Summit
 
RIPE 82: An Update on Fragmentation Loss Rates in IPv6
RIPE 82: An Update on Fragmentation Loss Rates in IPv6RIPE 82: An Update on Fragmentation Loss Rates in IPv6
RIPE 82: An Update on Fragmentation Loss Rates in IPv6
APNIC
 
Big data in the energy sector
Big data in the energy sectorBig data in the energy sector
Big data in the energy sector
FileCatalyst
 
Improving HDFS Availability with Hadoop RPC Quality of Service
Improving HDFS Availability with Hadoop RPC Quality of ServiceImproving HDFS Availability with Hadoop RPC Quality of Service
Improving HDFS Availability with Hadoop RPC Quality of Service
Ming Ma
 
Introduction to Hadoop and Big Data
Introduction to Hadoop and Big DataIntroduction to Hadoop and Big Data
Introduction to Hadoop and Big Data
Joe Alex
 
RIPE 82: DNS Evolution
RIPE 82: DNS EvolutionRIPE 82: DNS Evolution
RIPE 82: DNS Evolution
APNIC
 
6421 b Module-04
6421 b Module-046421 b Module-04
6421 b Module-04
Bibekananada Jena
 
Apache HBase: State of the Union
Apache HBase: State of the UnionApache HBase: State of the Union
Apache HBase: State of the Union
DataWorks Summit/Hadoop Summit
 
Gabriel Paues - IPv6 address planning + making the case for WHY
Gabriel Paues - IPv6 address planning + making the case for WHYGabriel Paues - IPv6 address planning + making the case for WHY
Gabriel Paues - IPv6 address planning + making the case for WHY
IKT-Norge
 

What's hot (20)

Aspera Solution Overview - IBM Software
Aspera Solution Overview - IBM SoftwareAspera Solution Overview - IBM Software
Aspera Solution Overview - IBM Software
 
IBM Aspera for telecommunications
IBM Aspera for telecommunicationsIBM Aspera for telecommunications
IBM Aspera for telecommunications
 
Fast and secure protocol FASP
Fast and secure protocol FASPFast and secure protocol FASP
Fast and secure protocol FASP
 
IBM Aspera In Life Sciences
IBM Aspera In Life SciencesIBM Aspera In Life Sciences
IBM Aspera In Life Sciences
 
Understanding i pv6 2
Understanding i pv6 2Understanding i pv6 2
Understanding i pv6 2
 
Ibm aspera full product overview april 2019
Ibm aspera full product overview april 2019Ibm aspera full product overview april 2019
Ibm aspera full product overview april 2019
 
Isilon_Performance_Brief_AsperaDS
Isilon_Performance_Brief_AsperaDSIsilon_Performance_Brief_AsperaDS
Isilon_Performance_Brief_AsperaDS
 
NANOG 82: DNS Evolution
NANOG 82: DNS EvolutionNANOG 82: DNS Evolution
NANOG 82: DNS Evolution
 
Network
NetworkNetwork
Network
 
Business Models for Dynamically Provisioned Optical Networks
Business Models for Dynamically Provisioned Optical NetworksBusiness Models for Dynamically Provisioned Optical Networks
Business Models for Dynamically Provisioned Optical Networks
 
High Performance Communication for Oracle using InfiniBand
High Performance Communication for Oracle using InfiniBandHigh Performance Communication for Oracle using InfiniBand
High Performance Communication for Oracle using InfiniBand
 
Supporting Apache HBase : Troubleshooting and Supportability Improvements
Supporting Apache HBase : Troubleshooting and Supportability ImprovementsSupporting Apache HBase : Troubleshooting and Supportability Improvements
Supporting Apache HBase : Troubleshooting and Supportability Improvements
 
RIPE 82: An Update on Fragmentation Loss Rates in IPv6
RIPE 82: An Update on Fragmentation Loss Rates in IPv6RIPE 82: An Update on Fragmentation Loss Rates in IPv6
RIPE 82: An Update on Fragmentation Loss Rates in IPv6
 
Big data in the energy sector
Big data in the energy sectorBig data in the energy sector
Big data in the energy sector
 
Improving HDFS Availability with Hadoop RPC Quality of Service
Improving HDFS Availability with Hadoop RPC Quality of ServiceImproving HDFS Availability with Hadoop RPC Quality of Service
Improving HDFS Availability with Hadoop RPC Quality of Service
 
Introduction to Hadoop and Big Data
Introduction to Hadoop and Big DataIntroduction to Hadoop and Big Data
Introduction to Hadoop and Big Data
 
RIPE 82: DNS Evolution
RIPE 82: DNS EvolutionRIPE 82: DNS Evolution
RIPE 82: DNS Evolution
 
6421 b Module-04
6421 b Module-046421 b Module-04
6421 b Module-04
 
Apache HBase: State of the Union
Apache HBase: State of the UnionApache HBase: State of the Union
Apache HBase: State of the Union
 
Gabriel Paues - IPv6 address planning + making the case for WHY
Gabriel Paues - IPv6 address planning + making the case for WHYGabriel Paues - IPv6 address planning + making the case for WHY
Gabriel Paues - IPv6 address planning + making the case for WHY
 

Viewers also liked

FASP - CEFI
FASP - CEFIFASP - CEFI
FASP - CEFIMHSinc
 
GRAU DataSpace Architecture
GRAU DataSpace ArchitectureGRAU DataSpace Architecture
GRAU DataSpace Architecture
Thomas Uhl
 
Benchmarking Personal Cloud Storage
Benchmarking Personal Cloud StorageBenchmarking Personal Cloud Storage
Benchmarking Personal Cloud Storage
Spyros Eleftheriadis
 
Aspera product introduce
Aspera product introduceAspera product introduce
Aspera product introduce
bds2
 
UDT
UDTUDT
UDT
lilyco
 
2014 holiday online shopping mobile trends silverpop
2014 holiday online shopping mobile trends silverpop2014 holiday online shopping mobile trends silverpop
2014 holiday online shopping mobile trends silverpop
Silverpop
 
Fix Bindings for Java
Fix Bindings for JavaFix Bindings for Java
Fix Bindings for Java
Vladyslav Yatsenko
 
Too fast for Scrum? | AgilePT 2015
Too fast for Scrum? | AgilePT 2015Too fast for Scrum? | AgilePT 2015
Too fast for Scrum? | AgilePT 2015
Antonio Arrais de Castro, PhD,PMP,CSPO,CSM,P2P
 
Sdkff core
Sdkff coreSdkff core
Sdkff corejwony
 
Fix
FixFix
Fix
cparkhi
 
Email Social Media 4 Tactics 2010 Nor Cal Dma 11.18.09
Email Social Media 4 Tactics 2010 Nor Cal Dma 11.18.09Email Social Media 4 Tactics 2010 Nor Cal Dma 11.18.09
Email Social Media 4 Tactics 2010 Nor Cal Dma 11.18.09
Silverpop
 
Why You Need FPGA In Your High-Frequency Trading Business
Why You Need FPGA In Your High-Frequency Trading BusinessWhy You Need FPGA In Your High-Frequency Trading Business
Why You Need FPGA In Your High-Frequency Trading Businessjeffjohnsonau
 
Hacking The Trading Floor
Hacking The Trading FloorHacking The Trading Floor
Hacking The Trading Flooriffybird_099
 
FIX Protocol Overview.
FIX Protocol Overview.FIX Protocol Overview.
FIX Protocol Overview.aiQUANT
 
Trading Clearing Systems Test Automation
Trading Clearing Systems Test AutomationTrading Clearing Systems Test Automation
Trading Clearing Systems Test AutomationIosif Itkin
 
Algorithmic Trading and FIX Protocol
Algorithmic Trading and FIX ProtocolAlgorithmic Trading and FIX Protocol
Algorithmic Trading and FIX Protocol
EXANTE
 
IBM & Aspera
IBM & AsperaIBM & Aspera
IBM & Aspera
Coenraad Smith
 
OTT 방송서비스 현황 및 전망 - 에브리온TV 남궁승환 20141126
OTT 방송서비스 현황 및 전망 - 에브리온TV 남궁승환 20141126OTT 방송서비스 현황 및 전망 - 에브리온TV 남궁승환 20141126
OTT 방송서비스 현황 및 전망 - 에브리온TV 남궁승환 20141126
에브리온 TV
 
해외 및 국내 Ott 서비스 현황 및 전망
해외 및 국내 Ott 서비스 현황 및 전망해외 및 국내 Ott 서비스 현황 및 전망
해외 및 국내 Ott 서비스 현황 및 전망
Creatip
 
Dynamic memory allocation(memory,allocation,memory allocatin,calloc,malloc,re...
Dynamic memory allocation(memory,allocation,memory allocatin,calloc,malloc,re...Dynamic memory allocation(memory,allocation,memory allocatin,calloc,malloc,re...
Dynamic memory allocation(memory,allocation,memory allocatin,calloc,malloc,re...
Mangalayatan university
 

Viewers also liked (20)

FASP - CEFI
FASP - CEFIFASP - CEFI
FASP - CEFI
 
GRAU DataSpace Architecture
GRAU DataSpace ArchitectureGRAU DataSpace Architecture
GRAU DataSpace Architecture
 
Benchmarking Personal Cloud Storage
Benchmarking Personal Cloud StorageBenchmarking Personal Cloud Storage
Benchmarking Personal Cloud Storage
 
Aspera product introduce
Aspera product introduceAspera product introduce
Aspera product introduce
 
UDT
UDTUDT
UDT
 
2014 holiday online shopping mobile trends silverpop
2014 holiday online shopping mobile trends silverpop2014 holiday online shopping mobile trends silverpop
2014 holiday online shopping mobile trends silverpop
 
Fix Bindings for Java
Fix Bindings for JavaFix Bindings for Java
Fix Bindings for Java
 
Too fast for Scrum? | AgilePT 2015
Too fast for Scrum? | AgilePT 2015Too fast for Scrum? | AgilePT 2015
Too fast for Scrum? | AgilePT 2015
 
Sdkff core
Sdkff coreSdkff core
Sdkff core
 
Fix
FixFix
Fix
 
Email Social Media 4 Tactics 2010 Nor Cal Dma 11.18.09
Email Social Media 4 Tactics 2010 Nor Cal Dma 11.18.09Email Social Media 4 Tactics 2010 Nor Cal Dma 11.18.09
Email Social Media 4 Tactics 2010 Nor Cal Dma 11.18.09
 
Why You Need FPGA In Your High-Frequency Trading Business
Why You Need FPGA In Your High-Frequency Trading BusinessWhy You Need FPGA In Your High-Frequency Trading Business
Why You Need FPGA In Your High-Frequency Trading Business
 
Hacking The Trading Floor
Hacking The Trading FloorHacking The Trading Floor
Hacking The Trading Floor
 
FIX Protocol Overview.
FIX Protocol Overview.FIX Protocol Overview.
FIX Protocol Overview.
 
Trading Clearing Systems Test Automation
Trading Clearing Systems Test AutomationTrading Clearing Systems Test Automation
Trading Clearing Systems Test Automation
 
Algorithmic Trading and FIX Protocol
Algorithmic Trading and FIX ProtocolAlgorithmic Trading and FIX Protocol
Algorithmic Trading and FIX Protocol
 
IBM & Aspera
IBM & AsperaIBM & Aspera
IBM & Aspera
 
OTT 방송서비스 현황 및 전망 - 에브리온TV 남궁승환 20141126
OTT 방송서비스 현황 및 전망 - 에브리온TV 남궁승환 20141126OTT 방송서비스 현황 및 전망 - 에브리온TV 남궁승환 20141126
OTT 방송서비스 현황 및 전망 - 에브리온TV 남궁승환 20141126
 
해외 및 국내 Ott 서비스 현황 및 전망
해외 및 국내 Ott 서비스 현황 및 전망해외 및 국내 Ott 서비스 현황 및 전망
해외 및 국내 Ott 서비스 현황 및 전망
 
Dynamic memory allocation(memory,allocation,memory allocatin,calloc,malloc,re...
Dynamic memory allocation(memory,allocation,memory allocatin,calloc,malloc,re...Dynamic memory allocation(memory,allocation,memory allocatin,calloc,malloc,re...
Dynamic memory allocation(memory,allocation,memory allocatin,calloc,malloc,re...
 

Similar to Intel aspera-medical-v1

Delivering on the promise of the cloud for digital media, aspera on demand
Delivering on the promise of the cloud for digital media, aspera on demandDelivering on the promise of the cloud for digital media, aspera on demand
Delivering on the promise of the cloud for digital media, aspera on demandAmazon Web Services
 
AWS re:Invent - Med305 Achieving consistently high throughput for very large ...
AWS re:Invent - Med305 Achieving consistently high throughput for very large ...AWS re:Invent - Med305 Achieving consistently high throughput for very large ...
AWS re:Invent - Med305 Achieving consistently high throughput for very large ...
asperasoft
 
(MED305) Achieving Consistently High Throughput for Very Large Data Transfers...
(MED305) Achieving Consistently High Throughput for Very Large Data Transfers...(MED305) Achieving Consistently High Throughput for Very Large Data Transfers...
(MED305) Achieving Consistently High Throughput for Very Large Data Transfers...
Amazon Web Services
 
Network-aware Data Management for High Throughput Flows Akamai, Cambridge, ...
Network-aware Data Management for High Throughput Flows   Akamai, Cambridge, ...Network-aware Data Management for High Throughput Flows   Akamai, Cambridge, ...
Network-aware Data Management for High Throughput Flows Akamai, Cambridge, ...
balmanme
 
Vsat day-2008-hughes
Vsat day-2008-hughesVsat day-2008-hughes
Vsat day-2008-hughes
SSPI Brasil
 
5 g Technology
5 g  Technology5 g  Technology
5 g Technology
Shivam Kashyap
 
PLNOG 13: Alexis Dacquay: Handling high-bandwidth-consumption applications in...
PLNOG 13: Alexis Dacquay: Handling high-bandwidth-consumption applications in...PLNOG 13: Alexis Dacquay: Handling high-bandwidth-consumption applications in...
PLNOG 13: Alexis Dacquay: Handling high-bandwidth-consumption applications in...
PROIDEA
 
Network-Internet
Network-InternetNetwork-Internet
Network-Internet
JunaidRamzan4
 
Network-Internet.ppt
Network-Internet.pptNetwork-Internet.ppt
Network-Internet.ppt
FaltuJiii
 
Network-Internet.ppt
Network-Internet.pptNetwork-Internet.ppt
Network-Internet.ppt
sunilcomputer
 
TelecommunicationsThe Internet Basic Telecom Model
TelecommunicationsThe Internet Basic Telecom ModelTelecommunicationsThe Internet Basic Telecom Model
TelecommunicationsThe Internet Basic Telecom Model
jeronimored
 
Network-Internet.ppt
Network-Internet.pptNetwork-Internet.ppt
Network-Internet.ppt
UnitechComputers2
 
Network-Internet.ppt
Network-Internet.pptNetwork-Internet.ppt
Network-Internet.ppt
Kabindra Koirala
 
Network-Internet and network topology.ppt
Network-Internet and network topology.pptNetwork-Internet and network topology.ppt
Network-Internet and network topology.ppt
oyebanjibenedict
 
Network-Internet.ppt
Network-Internet.pptNetwork-Internet.ppt
Network-Internet.ppt
ssuserc8c26a
 
Network-aware Data Management for Large Scale Distributed Applications, IBM R...
Network-aware Data Management for Large Scale Distributed Applications, IBM R...Network-aware Data Management for Large Scale Distributed Applications, IBM R...
Network-aware Data Management for Large Scale Distributed Applications, IBM R...
balmanme
 
5 steps to a faster, smarter wlan
5 steps to a faster, smarter wlan5 steps to a faster, smarter wlan
5 steps to a faster, smarter wlan
Aruba, a Hewlett Packard Enterprise company
 
Ip, the internet & its impact on the maritime industry paul jolley-v1-2012
Ip, the internet & its impact on the maritime industry paul jolley-v1-2012Ip, the internet & its impact on the maritime industry paul jolley-v1-2012
Ip, the internet & its impact on the maritime industry paul jolley-v1-2012Wire & Ether Communications
 
High performance browser networking ch1,2,3
High performance browser networking ch1,2,3High performance browser networking ch1,2,3
High performance browser networking ch1,2,3
Seung-Bum Lee
 

Similar to Intel aspera-medical-v1 (20)

Delivering on the promise of the cloud for digital media, aspera on demand
Delivering on the promise of the cloud for digital media, aspera on demandDelivering on the promise of the cloud for digital media, aspera on demand
Delivering on the promise of the cloud for digital media, aspera on demand
 
AWS re:Invent - Med305 Achieving consistently high throughput for very large ...
AWS re:Invent - Med305 Achieving consistently high throughput for very large ...AWS re:Invent - Med305 Achieving consistently high throughput for very large ...
AWS re:Invent - Med305 Achieving consistently high throughput for very large ...
 
(MED305) Achieving Consistently High Throughput for Very Large Data Transfers...
(MED305) Achieving Consistently High Throughput for Very Large Data Transfers...(MED305) Achieving Consistently High Throughput for Very Large Data Transfers...
(MED305) Achieving Consistently High Throughput for Very Large Data Transfers...
 
Network-aware Data Management for High Throughput Flows Akamai, Cambridge, ...
Network-aware Data Management for High Throughput Flows   Akamai, Cambridge, ...Network-aware Data Management for High Throughput Flows   Akamai, Cambridge, ...
Network-aware Data Management for High Throughput Flows Akamai, Cambridge, ...
 
Vsat day-2008-hughes
Vsat day-2008-hughesVsat day-2008-hughes
Vsat day-2008-hughes
 
5 g Technology
5 g  Technology5 g  Technology
5 g Technology
 
PLNOG 13: Alexis Dacquay: Handling high-bandwidth-consumption applications in...
PLNOG 13: Alexis Dacquay: Handling high-bandwidth-consumption applications in...PLNOG 13: Alexis Dacquay: Handling high-bandwidth-consumption applications in...
PLNOG 13: Alexis Dacquay: Handling high-bandwidth-consumption applications in...
 
Network-Internet
Network-InternetNetwork-Internet
Network-Internet
 
Network-Internet.ppt
Network-Internet.pptNetwork-Internet.ppt
Network-Internet.ppt
 
Network-Internet.ppt
Network-Internet.pptNetwork-Internet.ppt
Network-Internet.ppt
 
TelecommunicationsThe Internet Basic Telecom Model
TelecommunicationsThe Internet Basic Telecom ModelTelecommunicationsThe Internet Basic Telecom Model
TelecommunicationsThe Internet Basic Telecom Model
 
Network-Internet.ppt
Network-Internet.pptNetwork-Internet.ppt
Network-Internet.ppt
 
Network-Internet.ppt
Network-Internet.pptNetwork-Internet.ppt
Network-Internet.ppt
 
Network-Internet and network topology.ppt
Network-Internet and network topology.pptNetwork-Internet and network topology.ppt
Network-Internet and network topology.ppt
 
Network-Internet.ppt
Network-Internet.pptNetwork-Internet.ppt
Network-Internet.ppt
 
Network-aware Data Management for Large Scale Distributed Applications, IBM R...
Network-aware Data Management for Large Scale Distributed Applications, IBM R...Network-aware Data Management for Large Scale Distributed Applications, IBM R...
Network-aware Data Management for Large Scale Distributed Applications, IBM R...
 
Internet
InternetInternet
Internet
 
5 steps to a faster, smarter wlan
5 steps to a faster, smarter wlan5 steps to a faster, smarter wlan
5 steps to a faster, smarter wlan
 
Ip, the internet & its impact on the maritime industry paul jolley-v1-2012
Ip, the internet & its impact on the maritime industry paul jolley-v1-2012Ip, the internet & its impact on the maritime industry paul jolley-v1-2012
Ip, the internet & its impact on the maritime industry paul jolley-v1-2012
 
High performance browser networking ch1,2,3
High performance browser networking ch1,2,3High performance browser networking ch1,2,3
High performance browser networking ch1,2,3
 

Recently uploaded

Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Product School
 
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Ramesh Iyer
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
James Anderson
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
DianaGray10
 
UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3
DianaGray10
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
Cheryl Hung
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
Jemma Hussein Allen
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
Prayukth K V
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
Thijs Feryn
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
Elena Simperl
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance
 
How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
Product School
 
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
Product School
 
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualitySoftware Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Inflectra
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
DanBrown980551
 
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMsTo Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
Paul Groth
 
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Product School
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
Guy Korland
 
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptxIOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
Abida Shariff
 
"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi
Fwdays
 

Recently uploaded (20)

Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...
 
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
 
UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
 
How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
 
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
 
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualitySoftware Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
 
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMsTo Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
 
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
 
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptxIOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx
 
"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi
 

Intel aspera-medical-v1

  • 1. Enabling The Effective Sharing of Medical Images over Wide Area and Wireless Networks
  • 2. PRESENTER AND AGENDA PRESENTER AGENDA Daniel Kumi Director, New Market Development • Who and Why Aspera? daniel@asperasoft.com • WAN & Wireless Transport • Transfers to/out of the Cloud • Healthcare Applications • PACS to PACS • Health Information Exchange • On-Demand Access • Possible Integrations—Hopkins, McKesson, Vital, WU School of medicine • Aspera-Intel Discussion
  • 3. ASPERA’S MISSION Creating next-generation transport technologies that move the world’s digital assets at maximum speed, regardless of file size, transfer distance and network conditions.
  • 4. Aspera: moving the world’s digital assets at maximum speed 50% YOY growth in revenue and employees Over 10,000 licenses sold, and over 1,500 customers world wide Expanded to Asia PAC and Latin America through direct and channel Patents issued or pending in 32 countries Continuing to innovate: fasp3™, fasp-MC™, mobile transport, cloud enablement
  • 7. BIG DATA TRANSFER CHALLENGE
  • 8. What Happened to my Bandwidth? WAN 1000 Mbps Seattle • 170ms RTT • 0.001% packet loss rate Paris WAN Throughput is 1000Mbps Max TCP Throughput ~29Mbps Where’s my 970Mbps? At 29Mbps 50GB transfer will take 4 hrs 1TB transfer will take 3.3 days
  • 9. BIG-DATA and WAN TRANSFER WITH TCP TCP WAS DESIGNED IN THE EARLY 80’S • When data was small & bandwidth was limited • Fantastic for reliable data delivery • Not fast enough for big-data TCP IS THE ENGINE THAT DRIVES • FTP, HTTP & HTTPS • RSYNC, SCP & DICOM • CIFS & NFS TCP DOES NOT LIKE NETWORK LATENCY/ RTT • Geographic distance increases latency • Network congestion increases latency TCP DOES NOT LIKE PACKET LOSS • Loss is caused by congestion • Different network capacity • Wireless and satellite communications
  • 10. So if TCP doesn’t work, what’s the answer? The Aspera Solution
  • 11. Same WAN Scenario with Aspera WAN 1000 Mbps • 170ms RTT Seattle • 0.001% packet loss rate Paris WAN is 1000Mbps Max TCP Throughput ~29Mbps Max Aspera Throughput ~995Mbps (gain of x34) ROI measured in $$ cost of not using 971Mbps At 995 Mbps • 50GB transfer will take ~4 hrs • 1TB transfer will take 3.3 days • 50GB transfer will take ~7 mins • 1TB transfer will take 2.4 hrs
  • 12. FASP™ — HIGH-PERFORMANCE DATA TRANSPORT MAXIMUM LINE-RATE WAN TRANSFER SPEED • Transfer performance scales with bandwidth independent of transfer distance and resilient to packet loss • Optimal end-to-end throughput efficiency CONGESTION AVOIDANCE AND POLICY CONTROL • Automatic, full utilization of available bandwidth • On-the-fly prioritization and bandwidth allocation UNCOMPROMISING SECURITY AND RELIABILITY • Secure, user/endpoint authentication • AES-128 cryptography in transit & at-rest SCALABLE MANAGEMENT, MONITORING AND CONTROL • Real-time progress, performance and bandwidth utilization • Detailed transfer history, logging, and manifest ENTERPRISE-CLASS FILE DELIVERY • Transfers up to thousands of times faster than FTP/HTTP(S) • Precise and predictable transfer times • Extreme scalability (concurrency and throughput)
  • 13. FASP vs TCP PERFORMANCE fasp Bandwidth ROI FTP: Limited by Distance & Packet Loss, Not B/W FTP Across US US – EU US – ASIA Satellite 1 GB 1 – 2 hrs 2 – 4 hrs 4 – 20 hrs 8 – 20 hrs 10 GB 15 – 20 hrs 20 – 40 hrs Impractical Impractical 100 GB Impractical Impractical Impractical Impractical Aspera: Scales Linearly with Bandwidth fasp™ 2 Mbps 10 Mbps 45 Mbps 100 Mbps 200 Mbps 1 Gbps 1 GB 70 min. 14 min. 3.2 min. 1.4 min. 42 sec. 8.4 sec. 10 GB 11.7 hrs 140 min. 32 min. 14 min. 7 min. 1.4 min. 100 GB 23.3 hrs 5.3 hrs 2.3 hrs 1.2 hrs 14 min. Distance & Packet Loss Independent
  • 14. 6 Gbps Scalable WAN Throughput ~6Gbps Big-Data Throughput x3000 improvement vs. TCP • Latency independent • 1TB data moved in 20 min • Loss independent • 2 days with TCP over LAN conditions Scale to ~10Gbps with IQ Accelerator
  • 15. High Speed Mobile Data Transfer with fasp-AIR™ fasp-AIR SDK – maximum data transfer speed and predictability for mobile devices • Embeddable software library allows app developers to integrate superior transport capabilities to their own applications such as faster and more predictable downloads/uploads. • Available for Android and iOS on Aspera Developer Network • Designed for wireless networks with high latency, high packet loss environments • Integrated transfer queuing, pause, resume and progress reporting • Achieves significant performance improvements for upload and download speeds over 3G, 4G and 802.11 g/n.
  • 16. fasp-AIR Benchmarks on Verizon 4G In some cases (highlighted in orange), speeds will vary greatly, depending on available bandwidth and the underlying condition of the wireless network.
  • 17. GETTING IN AND OUT OF THE CLOUD KNOWING WHEN TO CHOSE THE RIGHT TOOL
  • 18. FIRST MAJOR BOTTLENECKS: WAN TRANSFER
  • 19. SECOND MAJOR BOTTLENECKS: LOCAL HTTP I/O 1st Bottleneck - WAN 2nd Bottleneck — Data Center
  • 20. CHALLENGES OF STORING BIG FILES IN THE CLOUD? BEWARE THE OBJECT STORE: • Not like traditional NAS or SAN • Bigger, better, but possibly much more complex • a.k.a. Google File System, Amazon S3, Hadoop Distributed File System • Simple read/write of data “blobs”, indexed by a key • Multiple replicas are distributed across storage for durability and optimized for access • Should work well for storing large numbers of files UNDERSTAND CHUNKS, BLOCKS and BLOBS • You need to deal with chunks, blocks and blobs • “Chunk” sizes are small (64 MB/128 MB) • Large media files must be “chunked” (1TB file = transporting and reassembling 10,000+ chunks!) • Multi-chunk APIs impede workflow and are complex • Data I/O use the standard HTTP(s) protocol • VERY SLOW at distance • Single HTTP stream slow even locally (<100 Mbps). M&E/ BIG-DATA SERVICES WILL NEED A HIGH-SPEED BRIDGE TO THE CLOUD • Large files moved at full bandwidth capacity with global access • Overcome the WAN and storage bottleneck • Support files of any size or quantity • Transparent to the end user/data owner (GUI, command line, API, browser, etc.) • No hardware to support B2B, B2C, C2B workflow
  • 21. S3 & BIG-DATA: UNDERSTAND THE CONTRAINTS
  • 22. S3 & BIG-DATA: MEET ASPERA’s DIRECT-TO-S3 client cargo downloader point-to-point mobile apps connect plug-in
  • 23. ASPERA DIRECT-TO-S3 — LINE RATE ACCESS TO THE CLOUD UNRIVALED ASPERA PERFORMANCE • Built on Aspera fasp™ technology for maximum transfer speed • Regardless of file size, transfer distance and network conditions • Precise bandwidth control ensures the available bandwidth is utilized to achieve maximum transfer speeds, while being fair to other business-critical network traffic SEAMLESS INTEGRATION WITH S3 • Integrated with S3 multi-part HTTP for maximum “last foot” performance • Simple configuration of S3 credentials, for both shared and dedicated docroot • Transfers directly into S3 are seamless and transparent to user ENTERPRISE-GRADE SECURITY AND RELIABILITY • Secure authentication with encryption in transit & at rest (AES-128, FIPS 140-2, HIPPA Compliant) • Packet-level data integrity verification • Automatic resume of partial or failed transfers • Full support for AWS S3 Service-side-encryption at rest INTEROPERATES WITH ALL ASPERA HOST OPTIONS • Any platform (Windows, Linux, MAC, UNIX, iOS, Android) • Any Aspera Clients (CLI, Desktop, Point-to-Point, Mobile, Web, Embedded) • Any Aspera Servers (Enterprise, Connect, faspex)
  • 24. Aspera fasp™ software environment
  • 25. ASPERA DEVELOPER NETWORK A complete set of SDKs provides developers with guides, reference information, and sample code to assist them with integrating Aspera technology into their own applications. Aspera fasp™ technology can be used in desktop, network- based, and web applications in place of FTP, HTTP, or custom TCP-based copy protocols. ASPERA TRANSFER APIs ASPERA MOBILE APIs Aspera Web Services Android SDK A SOAP based web service API that allows initiation, Aspera Android SDK provides a Java API to transfer files using monitoring and controlling of fasp based file transfers. fasp-AIR™. iPhone SDK Aspera Web Aspera iPhone SDK provides an Objective C API to transfer files Javascript API exposed by Aspera Connect client. It allows using fasp-AIR. integration of fasp based file transfers into web applications. ASPERA APPLICATION APIs Connect 2.8 developer Preview 2 Introducing the new Connect 2.8 developer preview! faspex™ Web API Integrate the functionality of Aspera Connect 2.8, a fasp- The Aspera faspex Web API provides a set of services that enables based file transfer client, into your own web applications, users to create and receive digital deliveries via a Web interface, while while customizing it to your unique brand. taking advantage of fasp high-speed transfer technology. fasp Manager A class library that allows intiations, monitoring and OTHER INFORMATION controlling of fasp based file transfers. Supporting Tools and Libraries Aspera Multicast SDK Supporting tools and libraries let you perform other common tasks A Java class library that allows initiation and management surrounding file transfers. of IP multicast based data transmissions using Aspera General Reference fasp-MC™. Reference on error codes, log file locations, configuration files and more.
  • 26. BIG-DATA: ACCESSED & DELIVERED BY ASPERA Media File transfer
  • 28. High-Speed Transfers Between DICOM Devises: Example: Archive-to-Archive Transfers (fasp3 socket-based solution) DICOM DICOM PACS, Archive… PACS, Archive… Usual Usual DICOM DICOM (TCP) (TCP) Regular sockets Regular sockets selected by fasp selected by fasp Socket fasp3 fasp3 Socket Sender Receiver
  • 29. Aspera Fasp Sockets Overview Client Application FASP-Pipe Proxy Application FASP-Pipe Proxy Server Data Source Client Java Java .NET Stream F F Stream FASP FASP A T C/C++ A .NET Socket TCP WebSocket Server S WAN S C TCP HTML 5 P FASP FASP P P C/C++ WS Data 3 Message Message 3 SSE Data Socket
  • 30. Use Case : On-Demand Access to Medical Images Image Access Over Wireless or WAN links • Doctors will download medical images on demand • Images are kept ONLY in memory (compliance to regulations) • Aspera server would interface to WADO server to pull DICOM images using http/https requests to WADO server. • Option for Direct Access to Images Using fasp
  • 31. Use Case : Server-Side Rendering & Remote Viewing of Medical Images Over WAN and Wireless Networks • Server side rendering, and delivery of rendered images to Viewing applications. • Thin Client • Thick Client
  • 32. Use Case : Health Information Exchange • Drop in Replacement of HTTP with fasp for XDS-I
  • 34. Possible Integration • Peake Healthcare --Joint Venture Between Johns Hopkins and Harris Corporation • McKesson • Vital (MINT Use case) • Washington University School of Medicine
  • 36. THANK YOU! Daniel Kumi Director, New Market Development daniel@asperasoft.com FOR MORE INFORMATION ON ANY ASPERA PRODUCT, PLEASE CONTACT: sales@asperasoft.com

Editor's Notes

  1. Due to many uncontrolled parameters such as … it is a difficult task to compare the performance of different protocols. For the same protocol, its performance can vary … To exclude these uncontrolled factors, we repeat the same test many times in a relative long time and then compare the mean, worse and best scenario.We also manually verified the performance on the iPhone …
  2. fasp Technology and Software Suite for Predictable, High Speed File-based TransferUnique in the world, patented transport technology providing unparalleled speed, efficiency, concurrency and bandwidth controlFully integrated, cross platform software suite for interoperable file transfer – any size, any distance, and network BWSecure standard for the industryIntegrated global management, tracking and reportingExtends to all Cloud based storageExtends to all major mobile platformsKey Business Areas Enabled with Latest Aspera SoftwareHigh Speed Content Delivery, Synchronization and Distribution (including Cloud!)Ad Hoc Content Ingest, Delivery and CollaborationIntegrated File Workflow Automation and OrchestrationMobile Platform File Delivery