Grid, Cloud and NGN
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Transcript of Grid, Cloud and NGN
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Grids, Clouds and NGN
S. M. Sabale
Head, Computer Engg.
Institute of Petrochemical Engg. (DBATU)Lonere
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Outline
Introduction
Grid
Cloud
NGN
Convergence
Applications
Summary
Bibliography
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IT Evolution Distributed Computing
High Performance Computing
Cluster Computing
Internet Computing
Virtual Organizations
Grid Computing
Utility Computing
Cloud Computing
Next Generation Networks
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Grid Computing Model
Grid : Run a program X, using resources at site Y,using VO communication policy P, providingaccess to data at Z, according to policy Q.
Problem 1: X has to be able to work inheterogeneous and geographically dispersedenvironment.
Problem 2 (Systems problem): How to coordinate
the use of resources at sites Y and Z under thevarious restrictions on their usage as defined bypolicies P and Q.
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Grid
Grid Computing enables VOs to share
geographically distributed resources as they
purchase common goals, assuming the
absence of central location/control,
omniscience, and existing trust relationship
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Grid
To achieve these Goals, Grid Environmentmust be:
Large Scale
Dynamic Scalable
Inter-operable
Extensible Secure
Heterogeneous
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Grid
Enabling
Usable
Manageable
Federated
Geographically distributed
Reliable
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Comparison between Grid and Cloud
http://localhost/var/www/apps/conversion/current/tmp/Desktop/Comparing-Cloud-Grid.pdfhttp://localhost/var/www/apps/conversion/current/tmp/Desktop/Comparing-Cloud-Grid.pdfhttp://localhost/var/www/apps/conversion/current/tmp/Desktop/Comparing-Cloud-Grid.pdf -
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NGN
Latest evolution of global telecommunicationsnetworks (ETSI and ITU-T), the Nextgeneration Networks (NGNs), is designed to
support converged fixed and wirelessnetworks carrying both voice and data traffic.
Further, it incorporates a richer set of featuresto provide more services to customers, andhence increased revenue opportunities for then/w providers.
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Why Telcos are interested in IT?
Attributes provided:
Enterprise sales capability
Lifecycle service and support
Reliable operations at scale
SLAs
Full enterprise solutions portfolio
Integrated hosting and network services
Vendor independence
Global Footprint
Financial stability and market commitment
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Convergence of NGN, Grid and Cloud
Telco operators are more and more driving SOA
implementations in order to:
Decouple applications via middleware from IT
server/storage/network resources Flexibly compose new services using standards-based
technologies and protocols
Reuse architectural components to lower costs, time-
to-revenue
Rapidly manage configuration, change management
and services assurance with automation.
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S/W
Applications
Computing
Storage
Networks
Virtualized
ResourceServices
Resource
Management
Execution
Management
Information
Management
Data
Security
Operational
Management
Application
Management
Client
Interface
Supplier
Management
Offer
Manageme
nt
BusinessManagement
Consumer
Customer
Provider
Fig. ETSI Conceptual Model Of a Grid And Associative Roles
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Scenarios for integration of Grid with
NGN
Grid-enabled NGN application
NGN subsystems offering Grid and Cloudservices
Combining Grid and Networking resources in a
new architecture
Grid and Cloud technology for implementing
NGN functionality
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Option A
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User
Equipment O
therNetworks
Grid Services
Core IMS
PSTN / ISDN
Emulation
Subsystem
Resource And
Admission Control
Subsystem
NetworkAttachment
Subsystem
User
Profiles
Service Layer
Transport Layer
Applications
Transport Processing Function
Grid AS/Grid-enabled Applications
Option A
Option
B
Option
C
Fig. NGN Subsystems Offering Grid And Cloud Services
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UserE
quipment O
therNe
tworks
.
Core IMS
PSTN / ISDN
Emulation
Subsystem
Resource And
Admission Control
Subsystem
Network
AttachmentSubsystem
User
Profiles
Service Layer
Transport Layer
Applications
Transport Processing Function
Grid
Services
Grid-Enabled
Application
Management
Equipment
Grid Enabled
Fig. Grid And Cloud Technology For Implementing NGN Functionality
Grid Enabled
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Implications of combining
Using NGN to deliver Grid/Cloud Services
Grid Services requirements are (OGSA):
Discovery, Metering and accounting, Monitoring,
Brokering, Authentication and authorization,
Advance reservation, Scheduling, Transport
management, Data sharing and management,
Policy
Using Grid/Cloud services to support NGN
Grid/Cloud SOA, NGN functional architecture
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Standards for Grid and NGN
OGF: SOA based Web services Resource Framework (WSRF)
Distributed Management Task Force: Common InformationModel and enterprise system modeling, monitoring andcontrol
European Telecommunications Standards Institute: ThrTISPAN (Telecommunications & Internet converged Services& Protocols for Advanced Networking) NGN architectureand IMS (IP Multimedia Subsystem)
Internet Engg. Task Force: X.509, PKI, TLS/SSL
Organization for Advancement of Structured Information(OASIS): XML and Web services,
W3C: Original XML/web based RPC, SOAP etc
Storage Network Industry Association
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Interoperability
Gateway/adapter approach: short term
solution, specific
Standardization: OGF group GIN (Grid
Interoperability Now)
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Standardization Gaps
Gaps and overlaps are likely to be
encountered in several different situations:
Applications composing of services making use of
various networks (NGN?) Relationship between grid and underlying n/w
Diversity allowed in individual standards
Use of dynamic working Transition to new version of specs
Lack of implementations
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Classification of Gaps
Architecture
Security
SLA and QoS
ChargingService Discovery
High-level issues contributing to gaps- come from
human processes, composition of services orarchitectural layers and the life-cycle ofcomposite systems
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Applications
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Grid-Cloud: IT Platform for Service
Science
Service Science is proposed as an integrative
discipline of engineering, technological, and
social sciences (including business and law)
with the purpose of creating new technologyand market for providing high value service.
d i d i
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Modern service industries
Business processes
Cloud(industry service centre)Virtual application environment
Grid(service component)Large-scale sharing of resource
Network
resource
Software
resource
Computing
resource
Data
resource
Business processes
analysis
Business processes
decomposition: servicefeature extraction,
classification
Effective, easy to use,
flexible composite
service
QoS
guaranteed
Business and System
level separation
Resourceprovision
Service composition (High
level virtualization)
Service with simple business
logic
Resource provision
Low-level virtualization
Physical resource
: Main technology road
Fig. Technical architecture of Grid-Cloud for Service Science
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Bibliography
Grid and Cloud Computing Technology: Interoperability and Standardization forthe Telecommunications Industry; ETSI Grid Technical committee report; 2009;www.etsi.org
Thomas Rings, Geoff Caryer, Julian Gallop, Jens Grabowski, Tatiana Kovacikova,Stephan Schulz and Ian Stokes-Rees; Grid and Cloud Computing: Opportunities forintegration with the Next Generation Network; Springer science + BusinessMedia, Aug 2009
Tatiana Kovocikova; Grid and Cloud Computing Integration with NGN; 13thWSEAS International Conference on Communications
Geoff Caryer, Julian Gallop, Jens Grabowski, Tatiana Kovacikova, Thomas Rings,Stephan Schulz and Ian Stokes-Rees; Grid and Cloud Computing Interoperability,Standardization and the Next Generation Network (NGN); IEEE 2009
P. Huang, P. Lin and H. Peng; Grid-Cloud: IT Platform for Service Science; Second
Intl. conference on Future Computer and Communications 2010; Volume 3-144. Comparing Grid and Cloud Computing; The Israeli Association of Grid
Technologies (IGT); www.Grid.org.il
http://www.etsi.org/http://www.etsi.org/http://www.etsi.org/