2017 — Modeling end user performance perspective for cloud computing systems using data center logs from big data technology

Table 1 organizes the main schema-agnostic Blocking methods in a two-dimensional taxonomy 315 that is formed by two criteria: (i) Indexing Function Definition, which determines

Statistical analysis of complex and spatially dependent data: a review of Object Oriented Spatial Statistics.. Cokriging for spatial

(2014) propose a big data infrastructure based on five steps: data acquisition, data cleaning and information extraction, data integration and aggregation, big data analysis and

• Development of a framework of new metrics for assessing performance and energy efficiency of communication systems and processes in cloud computing data centers (Section 3)..

Evaluation of Network Energy and Power Usage Effec- tiveness: For obtaining CNEE and NPUE it is necessary to calculate the power consumption of the computing servers and

The real-time data aggregation service gets the data from the individual data stores real-time data services and proposes a formatted file with the data from all the

The main purpose of the current work is to create a frame- work to compute generic quality indicators of smart meter data streams on the fly by taking advantage of CEP technol- ogy

A p-minimal executable abstract test suite for a given coverage criteria over an FTS repre- sents the minimal set of executable abstract test cases (with the best coverage) such as