Transcript Marek Domaracky

Welcome
the Next Generation Grid-enable
Collaboration
[email protected]
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Marek Domaracky
EVO
• Introduction
• The EVO concept
• Koala
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VRVS/EVO Project Timeline
Version
v0.4 •
1995 Caltech/CMS group started development of a full Web
based user interface for videoconferencing.
v1.0
• In January 1997, pushed by strong demand from the LHC
experiments, the Caltech/CMS group started a production
prototype Web-based service named the Virtual Room
Videoconferencing System (VRVS).
v2.0
• During 1998-2000 VRVS was widely recognized by Research
and Education Communities worldwide. It became a core
technology for IP-based video & multimedia services in Internet2.
v2.5
• July 2001 VRVS is the first system to support multiple protocols
(Mbone, H.323, MPEG) for collaboration over IP networks.
v3.0
• February 2003, 1st re-architecture of the VRVS System (97% Code
redone) – User Authentication, Database, AccessGrid Support, ..
v4.0
• December 2006, Release of the next generation collaboration system
EVO, a “Globally Distributed Self Managed End- to-End Real-time3
Infrastructure”
Current Usage of VRVS
Currently:
 28,000 Users Registered from 140 Countries,
more than 1,400 worldwide meetings involving
more than 7,500 different users who start VRVS
sessions per month
 It is the first Very Large Distributed System
(using the Grid concept) deployed and used
today in Production.
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HENP usage since January 2004
From January 2004 to July 2006 , at least one VRVS meeting was
booked with one of the following keywords in the title.
Representing a minimum of 72 different
Physics Experiments that use or have used
VRVS:
ALICE , ALTA , AMS, ASACUSA, ATHENA, ATLAS, BaBar, Belle, BES, CASA, CAST, CDF,
CESR, CLEO, CMS, COMPASS, D0, DELPHI, DIRAC, E325, E94, EDM, EMU, FLARE,
FOCUS, GEANT, GEM, GENIUS, GLAST, H1, HARP, HESS, HiRes, ICECUBE, ILC, ISAC,
KamLAND, KOPIO, L3, LAND, LEGS, LHC, LIGO, Linear Collider, MACRO, MAGIC, MECO,
MINOS, MIPP, Muon, NEMO, OPERA, OWL, PAMELA, PHENIX, PHOBOS, PLANCK,
QuarkNet, Qweak, RICE, SAMPLE, SELEX, SigN, SNAP, SNO, STAR, TERA, TOTEM,
TWIST, VENUS, VIRGO
(ref: http://www.hep.net/experiments/all_sites.html)
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Current and Future Challenges
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Connecting conference rooms, offices, auditoria, homes, and
mobile clients, thus releasing users from locating special
purpose conference rooms
Interconnecting any standard client protocol using any media
including audio, video, document sharing, chat, etc.
Operating seamlessly across local area (LAN) and wide area
(WAN) IP research and education networks used by HEP, as
well as the public Internet
Allowing integration into physicists’ daily desktop/laptop
working environments, such as the Grid-enabled Analysis
Environment developed at Caltech and elsewhere
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Process to Developing Collaborative Tools
Industry products
Global Science Projects
Usual Method
 Lot of Frustrations
Integration of some products
Get requirements
(unique for large scale collaborations)
 Build a Collaboration System
Investment in
Support and Developments
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End-to-End Self Managed RTC
Infrastructure
Why can we not achieve total reliability/robustness when
deploying a RTC Infrastructure ?
• The Real-Time Collaborative environment is a living environment:
constantly changing, evolving
• In addition, devices/domains/nodes are managed by several
independent technical and administrative entities.
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Solution ?
Solutions ?
By creating a ”living” RTC Infrastructure
capable to react/adapt to the change of the
environment in real-time transparently to the
end-user.
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The Collaboration Network Infrastructure
Apart from VRVS (and its successor EVO), existing
conferencing and collaboration products and services are
inadequate to meet the usability, quality, scalability,
reliability, and cost requirements of large globally
distributed collaboration
The reason is that the network infrastructure
component has been always the central element of
the VRVS/EVO architecture design for collaboration
Managing the collaboration service
Managing the network
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EVO Advanced Architecture:
Fully Distributed System with no Single Point of Failure
Clients Level
Distributed
Pure Peer-to-Peer (i.e. Skype,.)
Infrastructure Level
Controlled,
Managed and
Distributed
New architecture (EVO)
Servers Peer-to-Peer
Centralized
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H.323 or similar tools
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Centralized Servers
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MonALISA / EVO Integration:
End-to-End Self Managed RTC Infrastructure
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Software Agents in the Core Infrastructure:
Increase functionality and reduce operational manpower
Intelligent Software Agents create an Overlay Network
Functionality (a partial list):
 Dynamic registration to high level directory services to
provide a global infrastructure view
 Automatic re-activation of components and services
 Automatic and secure code update
 Continuous monitoring of network quality (packet loss,
jitter, latency) between its peers and its possible peers
 Automatic rerouting to obtain the best performance/quality
 Encryption between central nodes and between node and clients
 Automatic Alarm notifications when monitored parameters
(system or network) go beyond a preset threshold
 Dynamically provides services (video, audio, data,..) that matches
the current resources/capabilities to the end users/applications
 Access to real-time and historical monitoring data
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Building an End-to-End Self Managed RTC
Infrastructure
All Communication
channels are tunneled via
ONE port (UDP or TCP).
Crossing Firewall and NAT
environment !!
IM
H.323
Mbone
SIP
MPEG
Directory Services
MonALISA
Local PC
IM, Chat, Presence, Packet Control
Video
Audio
…
Possibility to Encrypt
IM, Chat, Presence message
AND/OR Video packets
AND/OR Audio packets
Possibility to Encrypt
communication between
Panda nodes
End-to-End RTC Self Managed Infrastructure
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Client software agents:
To increase reliability and reduce complexity for users
Intelligent Software Agents Running in the End-Systems
Functionality (Partial List):
• Advanced client with Multi-OS support (Java based..)
• Automatic detection of system parameters (CPU, Memory,..),
hardware components (Audio card, video card, …), service
capabilities (video, audio, …), network environment & level of
capability (wireless environment, DSL, available bandwidth, …)
• Dynamically acquires services (video, audio, data,..) and sets
parameters to match the current level of capability-level and available
resources to the end-user’s application
• Continuously monitors the network quality (packet loss, jitter)
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latency), and reroutes packets if and when needed
• Automatic Alarm notifications are generated when monitored
parameters (system or network) go beyond a preset threshold.
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System Features and Functions
• Bookings: Book a scheduled meeting; Start an Ad-hoc meeting, invite a
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buddy to a private meeting, have permanent meeting room
IM Presence information, Group and Private concurrent chat sessions
UDP and TCP tunneling in one Port. Network Address Translation and
Firewall transversal (multiple mechanisms)
Encrypt Video and/or Audio and/or IM/Chat and/or other data
Meeting management: Become a meeting moderator; Mute/Umute
video/audio of a participant, kick-out a participant, add a new participant
as moderator
Shared files in a virtual meeting space or send a file to individuals
Support any type of Video client-protocols: H.323, SIP,
Access Grid, Mbone, etc.
Whiteboard
Record Audio/Video/Chat/Whitebaord/Participants and then playback
locally or broadcast to meeting.
Multilanguage support, IPv6 Compliant
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The Koala Client (Java)
Multi-Language Support
Bookings
On-Going meetings, click to join
Presence
Buddy
Chat
Community
Automatic Time Zone Adjustment
Connection to the Panda
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Global Scientific Communities subscriptions
High Energy Physics
Global Scientific
Communities
Subscribed Communities
Search Engine
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Apart
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Whiteboard and Shared Files
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Booking
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H.323 and SIP
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Recording and Playback
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OpenGL based display mode
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EVO: End-to-End Self Managed and
Secure RTC Infrastructure
H.323
AccessGrid
H.323 MCU
Messenger -SIP
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Thank you
Enabling Virtual Organizations
[email protected]
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