CoMaP: a cooperative overlay-based mashup platform
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems - Volume Part I
CloudFuice: a flexible cloud-based data integration system
ICWE'11 Proceedings of the 11th international conference on Web engineering
An optimization strategy for mashups performance based on relational algebra
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
| Hi-index | 0.00 |
Recently, mashups are gaining tremendous popularity as an important Web 2.0 application. Mashups provide end-users with an opportunity to create personalized Web services which aggregate and manipulate data from multiple diverse sources distributed across the Web. However, this increase in personalization also results in new scalability and performance challenges. Surprisingly, there are very few studies on the performance aspect of mashups. In this paper, we propose two novel techniques to enhance the scalability and performance of mashup platforms. The first is an efficient mashup merging scheme that avoids duplicate computations and unnecessary data retrievals by detecting common operator sequences in different mashups and executing them together. Second, we propose a canonical form-based mashup reordering scheme that not only transforms individual mashups to their most efficient forms but also increases the effectiveness of mashup merging. This paper also reports a number of experiments studying the benefits and costs of the proposed techniques.