Download to Service

IP based Service Mash-up Provision by uGrid
Kenta Nakahara, Kou Kikuta, Daisuke Ishii,
Satoru Okamoto, Naoaki Yamanaka, KEIO Univ.
•
By
assigning
IP
address,
GMPLS
is
applicable.
• Cloud Computing is attracting the World.
extend “generalized”
Our
• All electronic devices will be connected to network.
from switching capability to Service
Motivation
It is expected that…
•
Existing
network
technology
can
be
utilized.
All services will be provisioned via network.
DNS, Routing, Signaling and so on
Web service
Optimize
•latency,
•bandwidth,
and so on
mirroring
Service and
Network are
Managed
Separately.
XYZ
Virtual
Camera Storage Program Computer Data
Display
Machine
IP Address is assigned
We are proposing uGrid(ubiquitous Grid Networking).
Combine
services
via uGrid
network
User
C
User
B
User
D
TV tuner
uGrid
Network
User A
Challenges
uGrid
b:b:b:b:b:b:b:2
Network
f:f:f:f:f:f:f:6
a:a:a:a:a:a:a:1 c:c:c:c:c:c:c:3 e:e:e:e:e:e:e:5 a:b:c:d:e:f:0:1
Application Layer
Tunnel
d:d:d:d:d:d:d:4
XYZ
Display
User F
3D Image
Processing Program
User E
• Manage every”thing” in an integrated manner
• Consider Service and Network all together
Verify
ID
Get Personal
Information
Connecting various IP addresses = Mash-up of Service
•Service-Routing: Search and Select Service-Parts
•Service-Signaling: Establish path and setup uGrid service
iPOP2011, Kanagawa, Japan
Service-Routing Extended OSPF-TE for uGrid
•Construct uGrid Service-Level topology
Service-Path Provision
in link-state manner
•Go through required service
in specified order
IP#b
•Consider the cost
•Work with
Signaling
IP#f
IP#b
IP#c
IP#e
CPU
Resource
XYZ
IP#x
IP#f
IP#c
IP#e
CPU
Resource
Image
Enhancement
XYZ
IP#g
IP#g
IP#a
IP#a
Face
IP#d
Detection
IP#d
•To confirm the effectiveness of Service-Routing, experiment is conducted.
50.50.50.2
C
50.50.50.10
50.50.50.8
S
F
N
50.50.50.6
Service- ServiceParts B (Face Parts C
Detection) (Sepia)
S
N
50.50.50.7
ServiceParts D
(Sepia)
50.50.50.5
Service-Path Computation
Engine of Extended OSPF-TE
② Node ID look
① Service Request
up by uGrid DB
F
C
50.50.50.2
Camera
D
↓
↓
50.50.50.3
Face Detection
Path and
↓
↓
Reserve Sepia Conversion 50.50.50.3 or .8
message
↓
↓
50.50.50.5
Display
③ Topology
is transformed
based on the
request.
Input
Experiment uGrid network
50.50.50.3
Service provisioning with integrating both
network resource and service resource
Convert
Link-State info
Network-level
Service-level
Latency
Power consumption
= Bandwidth Processing load
IP#y
Output ERO
Service-Parts A Service-Parts E Service-Parts F Service-Parts G
(Camera) (Provide Network Connection Service) (Display)
S
S
D
④ Ordinal Dijkstra
is executed.
⑤ Along the computed ERO,
Service-Signaling is executed.
Result: Succeeded to provide image processing
service by the shortest cost path
This work is supported by ”R&D for Construction of Leading-edge Green Cloud Infrastructure
(Environment-Related Network Signaling Technology)” project of MIC of Japan.
iPOP2011, Kanagawa, Japan