Journal Information
Sustainable Computing
Impact Factor:

Call For Papers
Sustainable computing is a rapidly expanding research area spanning the fields of computer science and engineering, electrical engineering as well as other engineering disciplines. The aim of Sustainable Computing: Informatics and Systems (SUSCOM) is to publish the myriad research findings related to energy-aware and thermal-aware management of computing resource. Equally important is a spectrum of related research issues such as applications of computing that can have ecological and societal impacts. SUSCOM publishes original and timely research papers and survey articles in current areas of power, energy, temperature, and environment related research areas of current importance to readers. SUSCOM has an editorial board comprising prominent researchers from around the world and selects competitively evaluated peer-reviewed papers.

Making computing sustainable - Software systems perspective:
• Power-aware software
• Code profiling and transformation for power management
• Power-aware middleware
• Multimedia systems
• Scheduling and allocation

Computing for sustainability - Use of computing to make the world a sustainable place:
• Use of sensors for environmental monitoring
• Smart control for eco-friendly buildings
• Green Data Centers and Enterprise Computing

Re-inventing algorithms and applications for sustainability:
• Theoretical aspect of energy, power, and temperature
• Power-aware applications
• Resource management to optimize performance and power
• Power implications for portable and mobile computing
• Algorithms for reduced power, energy and heat for high-performance computing

Modeling and evaluation of sustainable systems:
• Reliability of Power-aware computers
• Runtime systems that assist in power saving
• Models for collective optimization of power and performance
• Monitoring tools for power and performance of parallel and distributed systems

Sustainable hardware platforms and devices - Hardware and architecture perspective:
• Power aware networking
• Real-time systems
• Power-efficient architectures
• Efficient circuit design for energy harvesting
• Power management in memory, disk, storage and other peripheral devices
• Configurable and renewable energy
• Low power electronics
• Embedded systems, ASICs and FPGSs
• Power leakage and dissipation

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Last updated by Dou Sun in 2017-08-05
Special Issues
Special Issue on Internet of Things for Efficient Energy Management of Computing Resources
Submission Date: 2018-05-30

Internet of Things (IoT) vision is to create a hyper-connected global ecosystem in which embedded systems communicate with other whenever needed to deliver highly diversified services to users. IoT enables humans to access, control and manage the operations of the objects working under different information systems. Currently IoT systems are applied in the areas like smart cities, health systems, smart homes, etc. Due to the large number of heterogeneous elements interacting and working under IoT systems, there is an enormous need of resource management for the smooth running of IoT operations. Optimizing the computing resources needed by IoT systems needs to be performed at device layer, networking layer, middleware layer, application service layer and data semantics layer. Managing of computing resources can also be performed by implementing protocols, machine learning, deep learning and artificial intelligence techniques to enhance the scalability, reliability and stability in the operations. The motivation of this special issue is to solicit the efforts and ongoing research work in the domain of computation resource management using machine learning, deep learning and artificial intelligence in IoT systems. This issue will be elaborating the key aspects of computation resource management, communication protocols and future applications of IoT systems which include IoT-Clouds, IoT based industrial and home environments and integration of IoT concept in upcoming technologies using machine learning, deep learning and artificial intelligence. This will provide the opportunity for research community across the globe to share their ideas on these newly emerging fields of IoT. Specific topics include, but are not limited to, the following: - Efficient Energy Management of Computing Resources for * IoT Architectures (Things-Centric, Data-Centric and Service-Centric Architectures) * Mobile and Cloud-Based IoT Designs * IoT based Embedded and Information Systems. * IoT Enabling Technologies (Sensor Networks and Machine-Type Communication) * IoT Services (Open Service Platform and Semantic Service Management) - Hybrid Energy Efficient Intelligent Models using Artificial Intelligence in IoT for Industry - Energy Efficient Meta-Heuristic Algorithms for IoT and Wearable Computing - Hybrid Energy Optimization Methods and Emerging Real World Applications of IoT in Industry - Innovative Deep Learning Architectures for Optimizing Time Series Computational Data in IoT - Energy Efficient Machine Learning and Data Analytics Techniques in IoT for Industry - Computational Resource Management using Neural Network Modelling for IoT Systems. - Nature-Inspired Smart Efficient Energy Hybrid Systems for IoT Context-Aware Systems - Energy Efficient Hybrid IoT Systems for Ambient Living
Last updated by Dou Sun in 2017-10-13
Special Issue on Sustainable Agriculture
Submission Date: 2018-06-15

The sustainable agriculture ensures the food safety and security and textile needs for the current and future generations. The researchers and the practitioners of sustainable agriculture always strive to primarily integrate and incorporate a socially and economically healthy environment with secure economic profitability and equity in their work-related efforts. The food aspect of the sustainable agricultural system requires significant efforts and contribution from numerous domain experts and waste managers, food processors, consumers, distributors are just to name a few. The sustainable agriculture establishes and provides a solid foundation for the food safety and security, environmental quality. Also, it significantly contributes to the economic growth and development nationally and globally. The gradual technological advances and rapid evolution in information technology further contribute, support and strengthen the sustainability of agriculture. The incorporation, implementation and the usage of the Geographic Information System (GIS) and Remote Sensing (RS) technologies have given the new paradigm shift in sustainable agriculture research, operations and practices. The RS technology generates the enormous amount of the geo-spatial (big) data, which when utilized by the GIS in association with other advanced computations, modeling and analytics techniques demystifies the hidden data patterns and produces the extraordinarily informative results and discoveries, which further aid the sustainable agriculture efforts. The aim of this special issue (SI) is to present original research articles on all kinds of smart and effective computation techniques and technologies for the sustainable agriculture. In this SI, we seek original work focused on addressing new research and development challenges, developing effective techniques, advanced information technology and computation solutions for sustainable agriculture. Specific topics include, but not limited to, the following: - Emerging trends in sustainable agriculture - Artificial intelligence and machine learning for sustainable agriculture - Modern GIS and remote sensing techniques in agriculture - Classification and change detection of cultivated land - Resource management and optimization for sustainable agriculture - Internet of Things for sustainable agriculture - Smart sensors, sensing mechanisms and platforms for sustainable agriculture - Green computing for sustainable agriculture - Green energy and systems for agriculture - Real time monitoring in smart agriculture - Growing trends of precision agriculture - Data mining and statistical issues in precision agriculture - Decision support systems for precision agriculture - Emerging tools and techniques for precision agriculture - Intelligent computational techniques in precision agriculture - Role of big data in sustainable agriculture - Big data innovation in sustainable agriculture - Environmental big data integration - Smart farm and its application in big data - Big data in agricultural disaster management - Cloud-enabled techniques and innovation for sustainable agriculture - Knowledge discovery in agriculture databases
Last updated by Dou Sun in 2017-10-16
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