4 Service Oriented Architecture (Service Oriented Computing)

Welcome students,

In today’s lecture, we dig into architecture (design) that drives service oriented computing (a distributed computing technology).

In last blog, I mentioned cloud’s natural choice of technology is by utilizing service oriented technology, which is based on services (aka Web Services / Rest Services).

In our last lecture, we also covered the four characteristics that any service has.

In this lecture, we look into architecture that drives Service Oriented Computing, namely the Service Oriented Architecture (SOA).

We understand Service Oriented Architecture (SOA). We understand who is a service provider and who is a service consumer. We understand the difference between Service Orchestration and Service Choreography architectures in a SOA based ecosystem.

Just like any service has 4 characteristics, any SOA implementation is based on 8 principles. We understand each of these SOA principles.

Finally we end our lecture with 5 key advantages of web service and what 4 features of web service makes distributed computing implementation possible.

Please watch the lecture video, refer the lecture presentation, and complete your quiz on this topic.

Thank you

lecture video: service oriented architecture (SOA) 

lecture presentation: service oriented architecture (SOA)

lecture quiz: service oriented architecture (SOA)

 

Comments

Post a Comment

Popular posts from this blog

11 Computing Platforms

Welcome students ! Introduction to Unit 2  In Unit 2, we look at platform architectures that have evolved over time from the days of  earlier main frame architecture into today's cloud service platform architecture. Today we have cloud computing platform which use and provide cloud technologies   ( Parallel Computing, Distributed Computing, Service Oriented     Computing, Virtualization, Web 2.0 (soap, rest, ajax, mashup),  Utility Computing ) cloud delivery services reference model  ( IaaS,PaaS, SaaS ) cloud deployment types  ( Public, Private, Hybrid, Community ) In Unit 1 we already introduced ourselves to cloud technologies such as Parallel Computing, Distributed Computing, Service Oriented Computing and Virtualization.  Just like evolution theory says a monkey became man over many phases, this blog summarizes the Computing Platform architecture for enterprises that has evolved over time in four phases  (computing platform: e...
Read more

15 Four layers of Cloud Architecture (Reference Model)

Hello students, In today's blog we look deeper at cloud reference model architecture that generally applies in any cloud environment Any Cloud architecture is based on a four layers of this reference model 1. System Infrastructure 2. Core Middleware 3. User-level Middleware 4. Cloud Applications Each layer is on top of the previous layer System Infrastructure System infrastructure is the most underlying layer in the architecture and it provides physical machines, network, storage needs such as network adapters, routers, SAN disks etc. Core Middleware Core Middleware sits on top of System Infrastructure layer. It provides virtual machines, network virtualization, storage virtualization, hypervisors etc. Both System Infrastructure and Core Middleware essentially provides a way to implement IaaS (Infrastructure as a service) In our assignment, this layer would ideally be Oracle Virtual box User Level Middleware User Level Middleware sits on top of core middleware and provides run-ti...
Read more

25 Task Computing : HTC-HPC-MTC

Dear students, In our last blog, we came across concurrent computing, where the focus was how a single program can be computed faster by decomposing either based on data sets (Domain Decomposition) or based on functionality (Function Decomposition). Once the decomposition is planned properly in the program, it can be assigned to multiple cores or multiple threads. Concurrent computing is a form of parallelism on the same machine. When we talk about task computing, we are looking at executing not single program, but multiple programs. Each program can be considered as a task with lot of data or consisting of many work units. These tasks can be executed using multiple machines. Task Computing is a form of parallelism on multiple machines. It is a network of machines, where one machine (called local node) becomes responsible to submit the task, then one machine schedules it , checks status on all submitted tasks (access nodes) , one machine provides any resources such as files, data...
Read more