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Computing OnlineFirst articles

13-06-2019 Open Access

Ontology-based discovery of time-series data sources for landslide early warning system

Modern early warning system (EWS) requires sophisticated knowledge of the natural hazards, the urban context and underlying risk factors to enable dynamic and timely decision making (e.g., hazard detection, hazard preparedness). Landslides are a …


A new efficient approach for extracting the closed episodes for workload prediction in cloud

The prediction of the future workload of applications is an essential step guiding resource provisioning in cloud environments. In our previous works, we proposed two prediction models based on pattern mining. This paper builds on our previous …


Cloud resource management using 3Vs of Internet of Big data streams

Internet of things (IoT) allows various smart devices to get connected to anything, anywhere, and at anytime. The ubiquitous nature of IoT devices generates huge volume of data called Internet of Big data (IoBd). IoBd is generated in continuous …


Transient fault aware application partitioning computational offloading algorithm in microservices based mobile cloudlet networks

Mobile Cloudlet Computing paradigm (MCC) allows execution of resource-intensive mobile applications using computation cloud resources by exploiting computational offloading method for resource-constrained mobile devices. Whereas, computational …


A parallel stabilized finite element method based on the lowest equal-order elements for incompressible flows

Based on a fully overlapping domain decomposition technique, a parallel stabilized equal-order finite element method for the steady Stokes equations is presented and studied. In this method, each processor computes a local stabilized finite …

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About this journal

Computing publishes original papers, short communications and surveys on all fields of computing. The contributions should be written in English and may be of theoretical or applied nature, the essential criteria are computational relevance and systematic foundation of results.
Subjects include
- autonomic, adaptive, dependable computing
- parallel computing
- services computing and cloud computing
- green computing
- internet computing
- business process computing
- software evolution and mining
- architectural concepts for systems
- network science, social networks, collective intelligence

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