We are witnessing increasing interests in developing “smart cities” which helps improve the
efficiency, reliability, and security of a traditional city. An important aspect of developing …

MapReduce has become an attractive and dominant model for processing large-scale
datasets. However, this model is not designed to directly support operations with multiple …

Owing to the fast development of network technologies, executing parallel programs on
distributed systems that connect heterogeneous machines became feasible but we still face …

The development of scalable parallel database systems requires the design of efficient
algorithms for the join operation which is the most frequent and expensive operation in …

Certains problèmes nécessitent des performances que seules les machines massivement
parallèles ou les méta-ordinateurs peuvent offrir. L'écriture d'algorithmes pour ce type de …

SQL queries involving join and group-by operations are frequently used in many decision
support applications. In these applications, the size of the input relations is usually very …

A fuzzy or similarity join is one of the most useful data processing and analysis operations
for Big Data in a general context. It combines pairs of tuples for which the distance is lower …

The information technology community has created unprecedented amount of data through
large-scale applications. As a result, the Big Data is considered as gold mines of information …

Over the Internet today, there has been much interest in emerging Peer-to-Peer (P2P)
networks because they provide a good substrate for creating data sharing, content …

SQL queries involving join and group-by operations are fairly common in many decision
support applications where the size of the input relations is usually very large, so the …