Email: [email protected] Abstract: The Map/Reduce paradigm has dominated cloud computing since its beginnings. However, there are some scenarios in which Map/Reduce is not the best model. Once such situation is a system that collects data dynamically, with intermittent arrival times. In this study, we study a modified form of Map/Reduce that uses a load balancer to distribute work, rathe...

Sushi, a very popular food worldwide became a popular ready-to-eat food selling in supermarkets, but it exhibit distinct features, which are associated with microbiological hazards. Therefore, MAP technology, known to reduce aerobic bacteria in fishery products, was used to improve quality of ready-to-eat salmon sushi in this study. Salmon sushi were packaged with air (control), 50%N2 /50%CO2 (...

Sushi, a very popular food worldwide became a popular ready-to-eat food selling in supermarkets, but it exhibit distinct features, which are associated with microbiological hazards. Therefore, MAP technology, known to reduce aerobic bacteria in fishery products, was used to improve quality of ready-to-eat salmon sushi in this study. Salmon sushi were packaged with air (control), 50%N2 /50%CO2 (...

By handling whole sets of indistinguishable objects together, lifted belief propagation approaches have rendered large, previously intractable, probabilistic inference problems quickly solvable. In this paper, we show that Kumar and Zilberstein’s likelihood maximization (LM) approach to MAP inference is liftable, too, and actually provides additional structure for optimization. Specifically, it...

The mobile social network plays an essential role as the spread of information and relationship. This paper proposes a parallel algorithm based on MapReduce for finding community in a mobile social network where individuals communicate with one another using mobile phones with register identification information and analyzes the behavior of the communication patterns with taking the actual call...

Similarity join is the problem of finding pairs of records with similarity score greater than some threshold. In this paper we study the problem of scaling up similarity join for different metric distance functions using MapReduce. We propose a ClusterJoin framework that partitions the data space based on the underlying data distribution, and distributes each record to partitions in which they ...

Semi-structured information is often represented in the XML format. Although, a vast amount of appropriate databases exist that are responsible for efficiently storing semistructured data, the vastly growing data demands larger sized databases. Even when the secondary storage is able to store the large amount of data, the execution time of complex queries increases significantly, if no suitable...

Map Reduce (Hadoop) is a popular framework for conducting data processing in a parallel manner. It requires us to take the data "out of" the database in order to process it efficiently, yet promises to achieve high-performance and scalable data processing by exploiting the power of a compute cluster (cloud) with ease. More recently, a marriage of MapReduce with DBMS Technologies has been touted...