iPOP2011, Kanagawa, Japan

IP based Service Mash-up Provision by uGrid Kenta Nakahara, Kou Kikuta, Daisuke Ishii, Satoru Okamoto, Naoaki Yamanaka, KEIO Univ.

• Cloud Computing is attracting the World.• All electronic devices will be connected to network.

We are proposing uGrid(ubiquitous Grid Networking).

• By assigning IP address, GMPLS is applicable.

• Existing network technology can be utilized.DNS, Routing, Signaling and so on

extend “generalized”from switching capability to Service

OurMotivation

All services will be provisioned via network.It is expected that…

Service andNetwork are

ManagedSeparately.

• Manage every”thing” in an integrated manner• Consider Service and Network all together

Challenges

Application LayerTunnel

Camera DisplayStorage ComputerProgram

IP Address is assigned

a:a:a:a:a:a:a:1

b:b:b:b:b:b:b:2

c:c:c:c:c:c:c:3

d:d:d:d:d:d:d:4

e:e:e:e:e:e:e:5

f:f:f:f:f:f:f:6

a:b:c:d:e:f:0:1

uGridNetwork

VirtualMachineData

XYZ

Connecting various IP addresses = Mash-up of Service•Service-Routing: Search and Select Service-Parts•Service-Signaling: Establish path and setup uGrid service

uGrid

NetworkUser A

User F

TV tuner

XYZ

Combineservices via uGridnetwork Verify

IDGet PersonalInformation

UserB

UserC

UserD

User E3D ImageProcessing Program

Display

Optimize•latency,•bandwidth, and so on

Web service

mirrorin

g

iPOP2011, Kanagawa, Japan

Service-Routing Extended OSPF-TE for uGrid

50.50.50.2

50.50.50.6 50.50.50.7

50.50.50.5

50.50.50.3 50.50.50.10 50.50.50.8

Service-Parts B (Face

Detection)

Service-Parts A(Camera)

Service-Parts G(Display)

Service-Parts E Service-Parts F

Service-Parts C (Sepia)

Service-Parts D(Sepia)

uGrid network

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.

Path andReservemessage

•To confirm the effectiveness of Service-Routing, experiment is conducted.

Camera ↓

Face Detection↓

Sepia Conversion↓

Display

Service-Path ComputationEngine of Extended OSPF-TE

•Construct uGrid Service-Level topology in link-state manner

LatencyBandwidth

Power consumptionProcessing loadLink-State info =

Network-level Service-levelService provisioning with integrating bothnetwork resource and service resource

XYZCPU

Resource XYZCPU

Resource

IP#a

IP#d

IP#c

IP#b IP#f

IP#g

IP#e

IP#a

IP#d

IP#c

IP#b IP#f

IP#g

IP#e

IP#x

IP#y

FaceDetection

ImageEnhancement

Service-Path Provision•Go through required service in specified order•Consider the cost•Work with Signaling

Experiment

CF

S

D

SC DN NF S S

(Provide Network Connection Service)

50.50.50.2 ↓

50.50.50.3↓

50.50.50.3 or .8↓

50.50.50.5

Result: Succeeded to provide image processing service by the shortest cost path

② Node ID look up by uGrid DB

① Service Request

③ Topology is transformedbased on the request.

④ Ordinal Dijkstra　 is executed.

⑤ Along the computed ERO, Service-Signaling is executed.

Con

vert

Inpu

t

Output ERO