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Multivariate sensor data analysis for oil refineries and multi-mode identification of system behavior in real-time
(IEEE, 2018)
Large-scale oil refineries are equipped with mission-critical heavy machinery (boilers, engines, turbines, and so on) and are continuously monitored by thousands of sensors for process efficiency, environmental safety, and ...
Design and implementation of a cloud computing service for finite element analysis
(Elsevier, 2013-06)
This paper presents an end-to-end discussion on the technical issues related to the design and implementation of a new cloud computing service for finite element analysis (FEA). The focus is specifically on performance ...
Smart job scheduling for high-performance cloud computing services
(Civil-comp, 2011-01)
In this paper, we describe the challenges faced and lessons learned while establishing a large-scale high performance cloud computing service that enables online mechanical structural analysis and many other scientific ...
A novel runtime verification solution for LoT systems
(IEEE, 2018)
Internet of Things (IoT) systems promise a seamless connected world with machines integrating their services without human intervention. It's highly probable that the entities participating in such autonomous machine to ...
High-performance nested CEP query processing over event streams
(IEEE, 2011)
Complex event processing (CEP) over event streams has become increasingly important for real-time applications ranging from health care, supply chain management to business intelligence. These monitoring applications submit ...
Hybrid job scheduling for improved cluster utilization
(Springer Science+Business Media, 2014)
In this paper, we investigate the models and issues as well as performance benefits of hybrid job scheduling over shared physical clusters. Clustering technologies that are currently supported include MPI, Hadoop-MapReduce ...
Data stream analytics and mining in the cloud
(IEEE, 2012)
Due to prevalent use of sensors and network monitoring tools, big volumes of data or “big data” today traverse the enterprise data processing pipelines in a streaming fashion. While some companies prefer to deploy their ...
Finding event correlations in federated wireless sensor networks
(IEEE, 2011)
Event correlation engines help us find events of interest inside raw sensor data streams and help reduce the data volume, simultaneously. This paper discusses some of the challenges faced in finding event correlations over ...
E-Cube: multi-dimensional event sequence processing using concept and pattern hierarchies
(IEEE, 2010)
Many modern applications including tag based mass transit systems, RFID-based supply chain management systems and online financial feeds require special purpose event stream processing technology to analyze vast amounts ...
Rafinerilerdeki büyük veri problemlerine gerçek-zamanlı veri uzlaştırma çözümleri
(IEEE, 2014)
Rafineriler tonlarca ham petrolün, her gün faklı kimyasal işlemden geçirilerek benzine ve diğer yan ürünlere dönüştürüldüğü dev endüstriyel tesislerdir. Bu makalede sensör-tabanlı petrol rafinelerine özel endüstriyel büyük ...
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