The Internet of Things (IoT) has revolutionized the way we interact with the world, connecting billions of devices and enabling seamless communication and data exchange. With IoT, objects such as sensors, actuators, and everyday devices can collect and transmit vast amounts of data, creating a massive influx of information.
High Performance Computing (HPC), characterized by its immense processing power via super-computing, fast-network, vast-storage, and substantial-memory capabilities, enables the execution of complex computations and data-intensive tasks at unprecedented speeds. Given the shared interests in big data analytics, it has been identified that HPC can help address the requirements and challenges of IoT in terms of efficiently processing/analyzing data and distilling insights, while IoT brings new chances as well as evolution directions to HPC. By combining the capabilities of IoT and HPC, researchers and practitioners can unlock more opportunities for data-driven knowledge creation, real-time decision-making, and advanced automation.
The synergy between IoT and HPC also presents several challenges that this Research Topic aims to address.
Firstly, there is a need for efficient data management and processing techniques to handle the enormous volumes of data generated by IoT devices. This includes developing scalable algorithms, optimizing data storage, and implementing real-time analytics to extract valuable information from the data deluge.
Additionally, the integration of IoT and HPC raises concerns regarding security, privacy, and reliability. As IoT devices become more pervasive, the vulnerability to cyber threats increases. The research topic will explore novel approaches to secure IoT-HPC systems, safeguard sensitive data, and ensure the integrity and availability of the infrastructure.
While the hardware aspects of IoT and HPC have received considerable attention, the role of software in enabling their integration and maximizing their combined potential remains relatively unexplored. By emphasizing software frameworks, architectures, and algorithms, this topic offers a comprehensive understanding of how to effectively leverage the synergy between these two domains.
This Research Topic fosters collaboration and knowledge exchange among leading researchers, bringing together experts from diverse backgrounds, including IoT, HPC, cloud computing, data analytics, and cybersecurity, to collectively address the challenges and push the boundaries of this exciting research area.
Topics of interest include, but are not limited to:
• Exploring the integration of IoT and HPC
• Case studies on the pivotal role of software in harnessing the combined potential of IoT and HPC
• Hybridization of distributed and centralized data processing
• Modular and scalable high-performance computing
• HPC problems and applications in the IoT context
• Device-to-cloud integration platform
• Device-to-cloud data processing pipeline
• Supporting software/middleware for fusing heterogeneous systems
• IoT-native software engineering
• Architectural patterns and tactics for privacy preservation in IoT
• Application benchmarks and workloads for IoT-friendly HPC
Keywords:
internet of Things, high performance computing, software, optimization, data processing.
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
The Internet of Things (IoT) has revolutionized the way we interact with the world, connecting billions of devices and enabling seamless communication and data exchange. With IoT, objects such as sensors, actuators, and everyday devices can collect and transmit vast amounts of data, creating a massive influx of information.
High Performance Computing (HPC), characterized by its immense processing power via super-computing, fast-network, vast-storage, and substantial-memory capabilities, enables the execution of complex computations and data-intensive tasks at unprecedented speeds. Given the shared interests in big data analytics, it has been identified that HPC can help address the requirements and challenges of IoT in terms of efficiently processing/analyzing data and distilling insights, while IoT brings new chances as well as evolution directions to HPC. By combining the capabilities of IoT and HPC, researchers and practitioners can unlock more opportunities for data-driven knowledge creation, real-time decision-making, and advanced automation.
The synergy between IoT and HPC also presents several challenges that this Research Topic aims to address.
Firstly, there is a need for efficient data management and processing techniques to handle the enormous volumes of data generated by IoT devices. This includes developing scalable algorithms, optimizing data storage, and implementing real-time analytics to extract valuable information from the data deluge.
Additionally, the integration of IoT and HPC raises concerns regarding security, privacy, and reliability. As IoT devices become more pervasive, the vulnerability to cyber threats increases. The research topic will explore novel approaches to secure IoT-HPC systems, safeguard sensitive data, and ensure the integrity and availability of the infrastructure.
While the hardware aspects of IoT and HPC have received considerable attention, the role of software in enabling their integration and maximizing their combined potential remains relatively unexplored. By emphasizing software frameworks, architectures, and algorithms, this topic offers a comprehensive understanding of how to effectively leverage the synergy between these two domains.
This Research Topic fosters collaboration and knowledge exchange among leading researchers, bringing together experts from diverse backgrounds, including IoT, HPC, cloud computing, data analytics, and cybersecurity, to collectively address the challenges and push the boundaries of this exciting research area.
Topics of interest include, but are not limited to:
• Exploring the integration of IoT and HPC
• Case studies on the pivotal role of software in harnessing the combined potential of IoT and HPC
• Hybridization of distributed and centralized data processing
• Modular and scalable high-performance computing
• HPC problems and applications in the IoT context
• Device-to-cloud integration platform
• Device-to-cloud data processing pipeline
• Supporting software/middleware for fusing heterogeneous systems
• IoT-native software engineering
• Architectural patterns and tactics for privacy preservation in IoT
• Application benchmarks and workloads for IoT-friendly HPC
Keywords:
internet of Things, high performance computing, software, optimization, data processing.
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.