cloud computing is attracting the world. all electronic devices will be connected to network

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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. are proposing uGrid(ubiquitous Grid Networking). • By assigning IP address, GMPLS is applica • Existing network technology can be uti DNS, Routing, Signaling and so on extend “generalized” from switching capability to Service Our Motivation ervices will be provisioned via network. It is expected that… Service and Network are Managed Separately. nage every”thing” in an integrated manner nsider Service and Network all together Challenges Application Layer Tunnel Camera Displa y Stora ge Computer Progra m 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 uGrid Network Virtua l Machin e Dat a XYZ Connecting various IP addresses = Mash-up of Service •Service-Routing: Search and Select Service- Parts •Service-Signaling: Establish path and setup uGrid Network User A User F TV tuner XYZ Combine services via uGrid network Verify ID Get Personal Information User B User C User D User E 3D Image Processing Program Displa y Optimize •latency, •bandwidth, and so on Web service mirrorin g

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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. All electronic devices will be connected to network. extend “generalized” - PowerPoint PPT Presentation

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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