1. Enterprise Service Bus Architecture
as a Cloud Interoperability and
Resource Sharing Platform
Amirhossein Mohtasebi
2. Agenda
• Cloud
• Interoperability
• Interoperability in the Cloud
• Light-weight binding
• Cloud Service Bus
3. Cloud
• Characteristics:
– Unlimited pool of resources
– Per use pricing model
– Geographically distributed
– Instant provisioning and configuration
– Great extent of virtualization
4. Interoperability
• Definition
– “Interlinking a system, information, or workflows
across multiple domains such as enterprise
sectors, geographic locations, administrations,
etc.”
– “The capability of two or more networks, systems,
devices, applications, or components to externally
exchange and readily use information securely and
effectively”
5. Cloud Interoperability
• Portability and Mobility
– Virtual Machine (VM) format
– Hardware requirements
– Metadata
– IP
– Subnet
• Example: Azure Redundancy vs. AWS
6. Close vs. Open
– Business Acceptance
– Customer Lock-in
– Resource Sharing
7. Current Situation
• There is no single –standard- vocabulary for
inter-cloud communications:
– How data can go back and forth between Clouds?
– How the access regime can be defined for
distributed access control?
– How meta data can be interpreted in different
Clouds (semantic and syntactic)?
• Reflects the era before invention of TCP/IP
8. Cloud Interoperability
Physical Layer
• Hardware, Software, Platform, VM
Data Layer
• Data Format, Data Type, Validations
Semantic Layer
• Data Context and Domain
9. Current Efforts
– Cloud Computing Interoperability Manifesto
– OpenStack, OpenNebula, etc
– OVF, CDMI
– Supporting Multiple Languages
– Supporting Standard API
– Open Platforms (Cloud Foundry)
10. Location Decoupling
Application Application
Heavy
Light-Weight Binding
Dependencies
Platform Platform Platform
Platform A B C
11. Location Decoupling
• Heavy Dependency vs. Light-weight Binding
– Transport
• Managing different protocols
• Handling different application design principals (REST),
Protocols (SOAP)
– Route
• Component to direct requests to correct endpoints and vice
versa
– Message
• Transformation of the message (mainly using XSLT, or any
transformation mechanism)
13. Location Decoupling
• Changing the application level to implement
location decoupling?
– Another level of customer lock-in
• Extracting light-weight binding + Composable
Middleware + Standard API?
14. Enterprise Service Bus
• Terminal for integration of different services
• Create a mesh of Loosely coupled services
• 1:* vs. 1:1 (Federated Interface)
• Traditionally: SOAP+WS-Addressing
15. Cloud Orchestration Architecture
• The arrangement, coordination and
management of cloud infrastructure to
provide services to meet IT and business
requirements.
• Functions:
– Intermediate
– Aggregate
– Arbitrage
17. Virtualization Layer
• Provides a federated interface
• Level of standardization: level of complying
with federated interface
• Extending to the cloud:
– Exchanging metadata
– Exchanging configurations
– Security requirements
18. implementation of federation interface [19]. Figure 4 illustrates the architecture of
using service repository and registry in ESB model to bring more flexibility to the
ESB model.
Cloud Service Bus
Fig. 4. Sample registration, discovery, and flow of information through ESB (Source:
Grammatikou et al., 2011)
19. Conclusion
• In near future, there won’t be any standard
API from business vendors,
• Standardization will be community based,
• Too soon for semantic interoperability,
• Intermediary stack is a viable answers,
• The next step is to develop domain driven
semantic schemas
21. References
• 1. Carraro G, Chong F (2006) Architecture Strategies for Catching the Long Tail. Microsoft Developer
Networks.
2. Mell P, Grace T (2009) NIST Definition of Cloud Computing. National Institute of Standards and
Technology,
• 3. Corp. D (2011) Dell Unveils Industry’s First OpenStack Infrastructure-as-a- Service Cloud Solution.
Dell.
4. Hirschfeld R (2011) Unboxing OpenStack clouds with Crowbar and Chef [in just over 9,000
seconds! ]. Agile in the Cloud.
• 5. Armbrust M, Fox A, Joseph AD, Kats RH, Konwinski A, Lee G, Patterson DA, Rabkin A, Stoica I,
Zaharia M (2009) Above the Clouds: A Berkeley View of Cloud Computing. University of Berkeley,
California
6. Directorate-General E (2003) Linking up Europe: the importance of interoperability for e-
government services. The Commission of The European Communities,
• 7. Teixeira T, Malo P, Almeida B, Mateus M (2011) Towards an Interoperability Management System.
Information Systems and Technologies (CISTI):1-4
8. IEEE (2011) IEEE Guide for Smart Grid Interoperability of Energy Technology and Information
Technology Operation with the Electric Power System (EPS), End-Use Applications, and Loads. IEEE
Std 2030-2011.
• 9. Robinson R (2004) Understand Enterprise Service Bus scenarios and solutions in Service-Oriented
Architecture, Part 1. IBM Developerworks.
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22. References
11. Lou M, Goldshlager B, Zhang L-J Designing and implementing Enterprise Service
Bus (ESB) and SOA solutions. In: IEEE International Conference on Service Computing,
2005. IBM Global Services,
12. Jizhe L, YongJun Y Research & Implementation of LightWeight ESB With Microsoft
.NET. In: International Conference on Frontier of Computer Science and Technology,
2009.
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International Conferance on Advanced Computer Control (ICACC), 2010. 14. Webber J
(2005) ThoughtWorks. Guerrilla SOA.
15. VMWare (2012) Multi-Language, Multi-Framework, what about Multi- Cloud?
VMWare,
16. Fielding RT Architectural Styles and the Design of Network-based Software
Architectures. In, 2000. UC Irvine,
17. Pouli V, Demchenko Y, MarinosC., Lopez DR, Grammatikou M Composable Services
Architecture for Grids. In, 2011. Computer Communications and Networks, pp 223-247
18. Demchenko Y (2011) Composable Services Architecture (CSA). OGF,
19. Grammatikou M, Marinos C, Demchenko Y, Lopez DR, Dombek K, Jofre J (2011)
GEMBus as a Service Oriented Platform for Cloud-Based Composable Services. Third
IEEE International Conference on Coud Computing Technology and Science