Cdep: Qos-Aware Crowd-Deduplication with Efficient Data Placement in Big Data Analytics
نویسندگان
چکیده
منابع مشابه
Big Data Analytics Using Cloud and Crowd
The increasing application of social and human-enabled systems in people’s daily life from one side and from the other side the fast growth of mobile and smart phones technologies have resulted in generating tremendous amount of data, also referred to as big data, and a need for analyzing these data, i.e., big data analytics. Recently a trend has emerged to incorporate human computing power int...
متن کاملApplication of Big Data Analytics in Power Distribution Network
Smart grid enhances optimization in generation, distribution and consumption of the electricity by integrating information and communication technologies into the grid. Today, utilities are moving towards smart grid applications, most common one being deployment of smart meters in advanced metering infrastructure, and the first technical challenge they face is the huge volume of data generated ...
متن کاملA Fuzzy TOPSIS Approach for Big Data Analytics Platform Selection
Big data sizes are constantly increasing. Big data analytics is where advanced analytic techniques are applied on big data sets. Analytics based on large data samples reveals and leverages business change. The popularity of big data analytics platforms, which are often available as open-source, has not remained unnoticed by big companies. Google uses MapReduce for PageRank and inverted indexes....
متن کاملTowards Privacy aware Big Data analytics
Big Data platforms allow the integration and analysis of high volumes of data with heterogeneous format from different sources. Big Data analytics support the derivation of properties and correlations among data and are considered by companies a key asset to make business decisions. The analyzed data often include personal and sensitive information, thus the analysis implies threats to privacy,...
متن کاملEnergy-Efficient Big Data Analytics in Datacenters
The volume of generated data increases by the rapid growth of Internet of Things (IoT), leading to the big data proliferation and more opportunities for data centers. Highly virtualized cloud-based datacenters are currently considered for big data analytics. However big data requires datacenters with promoted infrastructure capable of undertaking more responsibilities for handling and analyzin...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Turkish Journal of Computer and Mathematics Education (TURCOMAT)
سال: 2021
ISSN: 1309-4653
DOI: 10.17762/turcomat.v12i2.1200