The trend of adopting Internet of Things (IoT) in healthcare, smart cities, Industry 4.0, and so
on is increasing by means of cloud computing, which provides on-demand storage and …

Consuming Hadoop MapReduce via virtual infrastructure as a service is becoming common
practice as cloud service providers (CSP) offers relevant applications and scalable …

MapReduce is one of the essential programming models for parallel processing and
distributed storage of enormous data sets. The default Hadoop implementation assumes that …

Cellular Automata (CA)-based cost-effective MapReduce model is presented in this
research to accelerate the industrial information integration process by facilitating Big Data …

Big data refers to diverse large data types from heterogeneous sources such as mobile
devices, the web, social media, and the internet of things. The cloud offers a wide variety of …

A successful deployment of Industry 5.0 is significantly dependent on the synergetic
integration of several advanced technologies such as big data processing, Artificial …

In cyber-physical systems (CPS), micromachines are typically deployed across a wide range
of applications, including smart industry, smart healthcare, and smart cities. Providing on …

Objective: Big Data processing is a demanding task, and several big data processing
frameworks have emerged in recent decades. The performance of these frameworks is …

In this work, we investigate the online MapReduce processing problem on m uniform
parallel machines, aiming at minimizing the makespan. Each job consists of two sets of …

In the promotion and application of smart agriculture, how can we reasonably utilize and
process the massive environmental data acquired from the growth process of crops by smart …