Welcome!

Machine Learning Authors: Zakia Bouachraoui, Liz McMillan, Roger Strukhoff, Pat Romanski, Carmen Gonzalez

Related Topics: Machine Learning , IBM Cloud

Machine Learning : Article

AJAX Requests – Data or Markup?

I just got back from the Real-World AJAX seminar in NYC on Monday

AJAX Requests – Data or Markup?

I just got back from the Real World AJAX seminar in NYC on Monday.  Pretty good event with lots of good stories. 

One issue that caught my attention was the issue of how the back-end returned the data to AJAX applications.  Most of the speakers preferred data, except for David Hansson from Ruby on Rails seemed to favor markup as the return type (at least that is what I understood him to say). 

This debate is pretty interesting.  From an Enterprise Java standpoint, the decision I believe has implications to the usage of the JSF, Struts, and Portals (in a JSR 168 sense).  Look at the picture below:




As I look at this, and think about non-functional concerns (clustering, security, etc...), the middleware can become quite complex.  JSF and Struts applications usually put a beating on Http Session, Portals even more so.  We now have duplication in MVC, both on the server and the browser.

I believe, from an enterprise standpoint, Ajax applications are better suited for exchanging data with the middle tier.  This makes the middle tier much more stateless, and therefore much more scalable.




The browser does become a bit more complex.  (Although, in the prior picture, the browser would still have a considerable and almost equal amount of work to do).  the additional work is managaing some state (the same as a well designed Http Session App with small foot print) and translating the data from some XML format to JavaScript.  In many cases this work has to be done somewhere in what is considered a web tier, because the business layer will not serve up mark-up.

If the UI workflow becomes more complex, then one should look to BPEL type engines with Human tasks and not complicate the issue with too much custom middleware.

Of course the initial hit to the server would have to go through some type of MVC middleware.  So the Struts, JSF, and Portals of the world will still have to serve up the inital pages, but from then on.

Eventually, I wonder if the initial hit could even be rendered by the browser with the server serving up some full XML document that the broswer knows how to translate to a full page.  There is much CPU out there in client land that we can take advantage of.  Although, the danger of the second coming of Fat clients has to be dealt with, we have to make sure there is no business logic out there or else security becomes a big concern. 

The browser should.

  • Invoke services on the server.
  • Move data from structures to Widgets.
  • Collect input.
  • Store minor state (multi-page wizard updates, some session id, etc...)
  • Render Widgets.
Anything more than this, then we are in fat land.  So now that I am convinced that data is a preferred route from a strategic stand point, the next debate is the wire format of the data.  Right now, I have seen 4 different approaches I have seen (custom XML, SOAP, REST, and JSON).  I wonder how the ESB of the worlds can help make a smarter controller.  I will save this discussion for another blog.


More Stories By Roland Barcia

Roland Barcia is a consulting IT specialist for IBM Software Services for WebSphere in the New York/New Jersey Metro area. He is the author of one of the most popular article series on the developerWorks WebSphere site, www-106.ibm.com/developerworks/websphere/techjournal/0401_barcia/barcia.html, and is also a coauthor of IBM WebSphere: Deployment and Advanced Configuration. You can find more information about him at http://web.njit.edu/~rb54

Comments (2)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


CloudEXPO Stories
The platform combines the strengths of Singtel's extensive, intelligent network capabilities with Microsoft's cloud expertise to create a unique solution that sets new standards for IoT applications," said Mr Diomedes Kastanis, Head of IoT at Singtel. "Our solution provides speed, transparency and flexibility, paving the way for a more pervasive use of IoT to accelerate enterprises' digitalisation efforts. AI-powered intelligent connectivity over Microsoft Azure will be the fastest connected path for IoT innovators to scale globally, and the smartest path to cross-device synergy in an instrumented, connected world.
There are many examples of disruption in consumer space – Uber disrupting the cab industry, Airbnb disrupting the hospitality industry and so on; but have you wondered who is disrupting support and operations? AISERA helps make businesses and customers successful by offering consumer-like user experience for support and operations. We have built the world’s first AI-driven IT / HR / Cloud / Customer Support and Operations solution.
ScaleMP is presenting at CloudEXPO 2019, held June 24-26 in Santa Clara, and we’d love to see you there. At the conference, we’ll demonstrate how ScaleMP is solving one of the most vexing challenges for cloud — memory cost and limit of scale — and how our innovative vSMP MemoryONE solution provides affordable larger server memory for the private and public cloud. Please visit us at Booth No. 519 to connect with our experts and learn more about vSMP MemoryONE and how it is already serving some of the world’s largest data centers. Click here to schedule a meeting with our experts and executives.
Darktrace is the world's leading AI company for cyber security. Created by mathematicians from the University of Cambridge, Darktrace's Enterprise Immune System is the first non-consumer application of machine learning to work at scale, across all network types, from physical, virtualized, and cloud, through to IoT and industrial control systems. Installed as a self-configuring cyber defense platform, Darktrace continuously learns what is ‘normal' for all devices and users, updating its understanding as the environment changes.
Codete accelerates their clients growth through technological expertise and experience. Codite team works with organizations to meet the challenges that digitalization presents. Their clients include digital start-ups as well as established enterprises in the IT industry. To stay competitive in a highly innovative IT industry, strong R&D departments and bold spin-off initiatives is a must. Codete Data Science and Software Architects teams help corporate clients to stay up to date with the modern business digitalization solutions. Achieve up to 50% early-stage technological process development cost cutdown with science and R&D-driven investment strategy with Codete's support.