AspectScript

examples:example1

aspectscript (aspectscript@undisclosed.example.com) — 2021-01-22T00:56:07+00:00

A Simple Example In Facebook, users can freely tag people (supposedly) appearing in photos. If the user being tagged is a friend of the tagger, the tag becomes a link to the user profile, and the picture is added to the personal photo album. However, to avoid wrong tags, Facebook provides a way to remove them through a

publications

aspectscript (aspectscript@undisclosed.example.com) — 2013-05-06T06:16:10+00:00

Publications

weca

aspectscript (aspectscript@undisclosed.example.com) — 2012-02-29T17:50:03+00:00

WeCa: Modular and Flexible Causality Control on the Web NOTE: There is an update of this Web page here, please visit it. This Web page will be removed soon. Ajax has allowed JavaScript programmers to create interactive, collaborative, and user-centered Web applications, known as Web 2.0 Applications. These Web applications behave as distributed systems because processors are user machines that are used to send and receive messages between one another. Unsurprisingly, these applications have t…

otm:the_matching_of_causal_sequences:example1

aspectscript (aspectscript@undisclosed.example.com) — 2012-02-06T23:22:02+00:00

Analyzing Tweet Popularity The following example shows two independent Web applications that constitute a social network application. A user can publish a tweet and this tweet can be retweeted by the other user because both users follow each other. A OTM distributed stateful aspect observes and counts each retweet of a user.

otm:ordering_of_messages:discard_early

aspectscript (aspectscript@undisclosed.example.com) — 2012-02-06T22:49:37+00:00

The Discard Early Strategy Another issue in the visualization arises due to the processing of early server responses. For example, consider a forum Web page that is frequently updated with threads from a server using Ajax, i.e. this Web page only increases with more threads that are located on the top. Every thread is shown with its title and its first posts, and the reader can click on a button

otm:ordering_of_messages:fifo

aspectscript (aspectscript@undisclosed.example.com) — 2012-02-06T21:16:36+00:00

The FIFO strategy A mashup application is created from the combination of information retrieved from different servers, e.g. Housing Maps. Programmers have to overcome the issue of creating an incorrect Web page due to an arbitrary (and unexpected) order of server responses. For instance, consider a Web page that is created with two Ajax requests. If the second server response is processed before the first server response, the Web page is created incorrectly. A

otm:matchercells - created

aspectscript (aspectscript@undisclosed.example.com) — 2011-12-21T03:20:52+00:00

This is the web page.

otm

aspectscript (aspectscript@undisclosed.example.com) — 2011-08-03T05:30:12+00:00

OTM: Open Trace-based Mechanism Trace-based Mechanisms (TMs) support the definition of entities that observe and react to a program execution trace. TMs define sequences that trigger the execution of pieces of code when these sequences match specified

otm:ordering_of_messages

aspectscript (aspectscript@undisclosed.example.com) — 2011-06-27T09:19:35+00:00

Controlling Message Causality A Web application can send several Ajax requests to different servers. However, the application can retrieve and process the server responses in an arbitrary order; meaning that this application may behave nondeterministically due to the lack of control of the causality between Ajax requests and server responses. For example, the figure shows that if a WebApp sends two Ajax requests to a server, two scenarios are possible:the server returns server response 1 foll…

otm:the_matching_of_causal_sequences

aspectscript (aspectscript@undisclosed.example.com) — 2011-06-27T09:14:49+00:00

Social network applications like Twitter and Facebook are another kind of Web application. Nowadays, these applications are widely used, making the analysis of their flow of information an active research topic. This flow of information is analyzed through the messages sent and received between users of these applications. Such an analysis is complex due to the need to observe and react to distributed causal relations that occur among user interactions. As an example of the analysis of the flow …

otm:twitter.png

aspectscript (aspectscript@undisclosed.example.com) — 2011-06-27T08:58:29+00:00

otm:ajax.png

aspectscript (aspectscript@undisclosed.example.com) — 2011-06-27T08:12:15+00:00

wov2.png

aspectscript (aspectscript@undisclosed.example.com) — 2011-06-27T07:58:13+00:00

otm:the_matching_of_causal_sequences:twitter.png

aspectscript (aspectscript@undisclosed.example.com) — 2011-02-07T14:07:17+00:00

otm:the_matching_of_causal_sequences:29twitter_1200.jpg

aspectscript (aspectscript@undisclosed.example.com) — 2011-02-07T14:06:50+00:00

otm:the_matching_of_causal_sequences:twitter.pdf

aspectscript (aspectscript@undisclosed.example.com) — 2011-02-07T14:03:25+00:00

otm:vectorclock.png

aspectscript (aspectscript@undisclosed.example.com) — 2011-01-10T17:34:21+00:00

otm:webordering.png

aspectscript (aspectscript@undisclosed.example.com) — 2011-01-07T13:53:49+00:00

anim-2.gif

aspectscript (aspectscript@undisclosed.example.com) — 2010-12-30T20:28:36+00:00

overview-2.gif

aspectscript (aspectscript@undisclosed.example.com) — 2010-12-30T20:27:45+00:00