The importance of parallel computing is growing rapidly, and the need of performing complex computation tasks in shorter time becomes the main factor of developing the technology. In almost all technology fields, we can save time and effort to complete the computation of complex tasks. Modeling the Galaxy formation, Climate change, Rush hour traffic are some examples in real life of how we can make use of parallel computing, comparing with solving them in the tradition serial way. There are some limitations for the scalability of the resources. Therefore, trends are moving toward using heterogeneous environment that can provide more scalable resources. The main challenge then is to provide reliability between the computing resources. In this work, we will utilize publish/subscribe model using quality of service (QoS) parameters in the Data Distribution Service (DDS) middleware. DDS is developed by Object Management Group (OMG).

Title

Procedia Computer Science

Publisher

Elsevier B.V.

Publisher Country

Netherlands

Indexing

Scopus

Impact Factor

None

Publication Type

Both (Printed and Online)

Volume

63

Year

2015

Pages

24-31