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Big data analytics using cloud computing based frameworks for power management systems: Status, constraints, and future recommendations
Traditional parallel computing for power management systems has prime challenges such
as execution time, computational complexity, and efficiency like process time and delays in …
as execution time, computational complexity, and efficiency like process time and delays in …
A systematic review of quality of service in wireless sensor networks using machine learning: Recent trend and future vision
Abstract Wireless Sensor Network (WSN) is used in different research areas such as military,
industry, healthcare, agriculture, Internet of Things (IoT), transportation, and smart cities. The …
industry, healthcare, agriculture, Internet of Things (IoT), transportation, and smart cities. The …
Parallel real-time scheduling of DAGs
Recently, multi-core processors have become mainstream in processor design. To take full
advantage of multi-core processing, computation-intensive real-time systems must exploit …
advantage of multi-core processing, computation-intensive real-time systems must exploit …
Outstanding paper award: Analysis of global edf for parallel tasks
As multicore processors become ever more prevalent, it is important for real-time programs
to take advantage of intra-task parallelism in order to support computation-intensive …
to take advantage of intra-task parallelism in order to support computation-intensive …
Real-time scheduling and analysis of OpenMP task systems with tied tasks
OpenMP is a promising framework for develo** parallel real-time software on multi-cores.
Although similar to the DAG task model, OpenMP task systems are significantly more difficult …
Although similar to the DAG task model, OpenMP task systems are significantly more difficult …
Response-time analysis of parallel fork-join workloads with real-time constraints
The advent of multi-and many-core processors comes with new challenges and
opportunities for the designer of embedded real-time applications. By using parallel …
opportunities for the designer of embedded real-time applications. By using parallel …
Global EDF scheduling for parallel real-time tasks
As multicore processors become ever more prevalent, it is important for real-time programs
to take advantage of intra-task parallelism in order to support computation-intensive …
to take advantage of intra-task parallelism in order to support computation-intensive …
A software stack for next-generation automotive systems on many-core heterogeneous platforms
The next-generation of partially and fully autonomous cars will be powered by embedded
many-core platforms. Technologies for Advanced Driver Assistance Systems (ADAS) need …
many-core platforms. Technologies for Advanced Driver Assistance Systems (ADAS) need …
Benchmarking OpenMP programs for real-time scheduling
Real-time systems are shifting from single-core to multi-core processors. Software must be
parallelized to fully utilize the computation power of multi-core architecture. OpenMP is a …
parallelized to fully utilize the computation power of multi-core architecture. OpenMP is a …
Calculating response-time bounds for openmp task systems with conditional branches
Existing DAG-based task models in real-time scheduling research assume well-nested
structures recursively composed by single-source-single-sink parallel and conditional …
structures recursively composed by single-source-single-sink parallel and conditional …