Revisiting Aggregation for Data Intensive Applications: A Performance Study

Data Replication-Based Scheduling in Cloud Computing Environment

Abstract— High-performance computing and vast storage are two key factors required for executing data-intensive applications. In comparison with traditional distributed systems like data grid, cloud computing provides these factors in a more affordable, scalable and elastic platform. Furthermore, accessing data files is critical for performing such applications. Sometimes accessing data becomes...

An input-oriented radial measure for returns to scale aggregation.

In production theory, it is necessary to be capable of predicting the production func- tion’s long-run behaviors. Hereof, returns to scale is a helpful concept. Returns to scale describes the reaction of a production function to the proportionally scaling all its input variables. In this regard, Data envelopment analysis (DEA) provides a com- prehensive framework for returns to scale evaluation...

Advanced network monitoring applications based on mobile/intelligent agent technology

Mobile Agents (MA) have been proposed as a solution for distributed Network Management (NM). However, most MA-based infrastructures exhibit scalability limitations when data intensive management applications are considered. Therefore, we present three novel applications, tailored to transfers of bulk network monitoring data, in which MAs are used to perform data aggregation, acquire atomic SNMP...

Revisiting Quotes from Educational Perspective: An Inquiry into the Multifarious Applications of Grand Quotes in English Language Pedagogy

A Temporal Aggregation Method for Update-Intensive Applications

The temporal aggregation in temporal databases is an extension of the conventional aggregation including the time as a range condition of the aggregation. In this paper, we propose a new tree based structure for the temporal aggregation, called the CTA-tree. In the CTA-tree, we transform the time interval of a temporal data record into a value, called the T-value, using the Corner transformatio...