SECE 2020: The 1st IEEE International Workshop on Software Engineering for Cloud & Edge Computing
Call for Papers
Goal of the workshop:
This workshop aims to foster knowledge exchange, cooperation, and discussion of emerging concepts between software practitioners, system engineers, software engineers, and researchers who work in Big Data and Stream Data processing. The participants will exchange the latest industrial experience and research ideas on addressing software engineering challenges in data processing and analytics for sensor networks (SNs), Internet of Things (IoT), and smart systems (e.g. smart phone, smart office, smart home, smart building, smart factory, smart city, etc.).
The advances of 5G, SNs, IoT, and information technologies have enabled proliferation of smart pervasive sensor networks. 5G mobile networks provide for low-power, high-availability, high density, and high-throughput data capturing by sensor networks and continuous streaming of multiple measured variables. This massive data growth requires the development of new technologies for data capturing, management, exchange, and use (analysis, learning from data, and decision-making). Cloud computing is the concept of delivering of computing services, both hardware (servers, storage, networking) and software (databases, analytics, and decision-making support) over the internet. Cloud computing offers reduced cost, flexible resources, improved performance and reliability, and improved overall productivity by allowing the use of IT resources on demand. In a cloud system, data is pushed up to a server and is available for retrieval or subsequent analysis by the users. This infrastructure is suitable for data sharing including records, documents, pictures, music, or videos, and non-critical applications, such as reporting or complex data analytics. Cloud architecture is less suitable for real-time applications that require immediate response or instantaneous availability of high-quality data. Edge computing performs critical data processing at or close to the data source and is used for basic data analytics and visualization, generating alerts, data streaming, data preprocessing (cleaning, filtering, standardization, aggregation), and inter-device communication. Mobile systems are particularly suited for Edge computing solutions. Hybrid architectures that combine cloud and edge computing offer the advantage to the users since they improve the performance of real-time applications on the Edge but offer storage, reporting, complex analytics, and offer other computationally intensive tasks on the Cloud. Software engineering is essential to ensure that the delivered data are up-to-date, and that data quality, accuracy and the speed of delivery are adequate. The importance of the Cloud-Edge software engineering is increasing in large monitoring systems such as health, continuous video streaming, mobile applications (gaming, commerce, or learning), vehicular systems, and smart cities, among others.
Scope of the workshop:
Researchers and practitioners, from academia, industry, health, and government who working in the areas that concern software applications related to sensor networks, Internet of Things, mobile networks or smart systems are invited to discuss recent software engineering developments, state of the art solutions, emerging challenges, methodologies, techniques, experience reports, and tools for software systems on the Cloud and Edge.
Topics of interest include, but are not limited to, the following Cloud and Edge systems issues:
- Software requirements, design, development, testing, and maintenance
- Non-functional requirements (scalability, interoperability, mobility, heterogeneity, geographical distribution, location, awareness, performance, and quality of service)
- Data ownership, governance, and management
- Trust, adequacy, security, and privacy across Cloud and Edge
- Traceability of heterogeneous artifacts in computer systems
- Software and system dependability (threats, attributes, and techniques)
- Design and development of hybrid Cloud-Edge systems
- Software engineering standards
- Compatibility and data portability
- Applications – monitoring systems, mobile systems, smart systems, health
Likely participants: Software engineers, Cloud computing, Edge computing, Internet of Things, and Smart systems practitioners and researchers are called to participate and exchange ideas and techniques.
Vladimir Brusic, University of Nottingham Ningbo China
Dr Lou Chitkushev, Metropolitan College; Boston University, USA
Dr Muthu Ramachandran, Leeds Beckett University, UK