Journal Information
Journal of Smart Environments and Green Computing (JSEGC)
https://segcjournal.com/
Publisher:
OAE Publishing Inc.
ISSN:
2767-6595
Viewed:
1414
Tracked:
2
Call For Papers
Green Computing refers to a multi-faceted and environmentally sustainable computing environment. In a broad sense, Green Computing focuses on the environmentally responsible and eco-friendly usage of computers being central to the formation of smart environments, exploration of their resources and efficient applications. As such, within this framework, one concentrates on the studies of designing, manufacturing/engineering, using and disposing of computing devices to reduce their environmental impact thus making them environmentally sustainable. Green computing is important for all classes of systems, ranging from handheld devices to large-scale data centers. Green initiatives including renewable energy, smart grids, energy efficiency are essential to the holistic, well thought out buildup of the smart environments. They are of fundamental relevance given the omnipresence of computers when offering solutions to a plethora of problems encountered in smart cities, Internet of Things (IoT), sensor networks, diverse communication channels, user-centricity and centrality of systems, AI-oriented tasks, high complex systems, supporting strategic decisions, high scale logistic problems, rapid crises response strategies, decision-making processes and risk assessment in complex and varying and unpredictable environments.

There has been a great deal of interest in the research discipline of Green Computing as well as its practical implications and a number of journals have expressed vital interest there, however from different albeit somewhat limited viewpoints thus lacking a badly needed broader perspective.

So far there has not been a unified platform that could fill this acute gap by bringing a publishing venue with an ultimate focus on green computing studied in a holistic and unified manner. The ultimate objective of this journal is to bring to the research community and practitioners a stable and recognized platform to disseminate crucial, timely, and far-reaching research results as well as establish a broad forum for fostering vital discussions and accelerate further progress. The main areas of interest include the following:

Power Supply
Power Management
Algorithmic Developments and Deployment Strategies for Green Computing
Energy Management in Data Centres
Green Cloud Computing in Energy Efficiency
Green Wireless Networks
Green Cloud Computing
Green Parallel Computing with Big Data and Data Analytics
Smart Cities
Smart Grid, Smart Agriculture, Smart Ocean
E-learning, Smart education, E-health
Ambient Intelligence
Product Recycling and Recycling Strategies
Advantages and Challenges of Green Computing
Green Computing and Smart Cities
Ambient Intelligence-Based Green Computing
Applications to Manufacturing, Health, Energy Sector, and Education
Green Virtual Technologies
Green Monitoring Systems
Green Energy
Societal Issues 


Submission Information
Articles from 2022-2024 are free of charge for article processing.
For Author Instructions, please refer to http://jsegcjournal.com/pages/view/author_instructions
For Online Submission, please login at https://oaemesas.com/login?JournalId=jsegc/?IssueId=JSEGC220929
Contacts: Regnia Liu, Assistant Editor, assistant-editor@segcjournal.com, wechat:liuxing63
Last updated by Regina Liu in 2022-11-15
Special Issues
Special Issue on Challenges for Future-Generation Virtual Power Plant Architecture, Control and Implementation
Submission Date: 2022-12-20

Virtual power plants (VPPs) are promising solutions to address the energy efficiency and decarbonization goals in smart energy systems. A VPP is a system that integrates heterogeneous sources such as distributed generation systems with intermittent renewable energies to give a reliable and friendly overall power supply. The typical characteristics and superiorities of VPP are environmental protection, renewability, high efficiency, synergy, interactivity, and effective contribution to supply-load balancing. VPPs can be utilized to tackle problems brought by the stochastic nature of renewable resources, insufficient local energy flexibility on the demand side, and lack of energy storage devices. On the other hand, the creation and operation of VPPs involve the application of complex ICT techniques dealing with the modeling of the energy assets, energy flows, and forecasting of local energy demand and generation to meet the defined goals using heuristics, and portfolio management. All of these issues put several unsolved problems in front of architecture, control, and implementation of VPPs in the future. This special issue welcomes manuscripts that deal with all aspects of technology, optimization, control, management, implementation, and ICT problems of VPPs. The subjects of interest include, but are not limited to: ● VPPs’ management and integration strategies; ● VPP communication protocol, ICT, and network security; ● Optimization methods and control designs for VPP management; ● Machine learning approaches for VPP; ● Trading and market mechanisms for VPPs; ● Data management and software development for VPPs; ● Advanced power system dynamics analysis for VPPs; ● Advanced gid-forming technologies for VPPs.
Last updated by Dou Sun in 2022-08-04
Special Issue on Selection, Application and Optimization of Computing Offloading Solutions in Mobile Edge Computing Scenarios
Submission Date: 2023-05-20

With the rapid development of mobile communications and the explosive usage of mobile devices (i.e., smart phones, laptops, tablets, etc.), the mobile Internet facilitates us with a pervasive and powerful platform to provide emerging applications. However, several mobile devices usually have limited computation capabilities and battery power. Migrating computational tasks from the distributed devices to the infrastructure-based cloud servers has the potential to address the aforementioned issues. The cloud servers are located in the center of core network and far away from the users, which may cause delay fluctuation and additional transmission energy cost. Mobile Edge Computing (MEC) is an emerging paradigm, which pursues to provide better services by moving infrastructure-based cloud resources (computation, storage, bandwidth and etc.) to the edge of the network. MEC is rapidly becoming a key technology of 5G and beyond, achieving the key technical indicators of 5G business, such as ultra-low latency, ultra-high energy efficiency, and ultra-high reliability. Obviously, when multiple smart devices upload tasks at the same time, they will inevitably compete with each other for both communication and computing resources Unreasonable resource allocation can result in a low data transmission rate and high delay. Thus, the designation of the task scheduling scheme has an important influence on the performance of the MEC system. Researchers are trying different optimization tools to minimize the latency and energy consumption as well as to maximize the performance of applications in MEC. In addition, as pointed out above, the topic of topic of the computation offloading scheduling problem is not only important but also faces several challenges. This topic is very promising and will attract great interests from generalist and specialist readers, including researchers from academia and industry, mobile application developers as well as students who are engaged in this study. This spacial issue welcome researchers from both academia and industry to provide their state-of-the-art technologies and ideas covering all aspects of Computing Offloading and applications in Mobile Edge Computing. Topics of interest include, but are not limited to: ● Deep learning at the Computational Offloading in MEC; ● Light-weight learning for Intelligent Computational Offloading MEC; ● Theoretical modeling and performance analysis of resource optimization for Computational Offloading MEC; ● Joint cross-layer resource optimization for Computational Offloading MEC; ● Swarm intelligence algorithms for Computational Offloading MEC; ● Energy-aware Computational Offloading MEC planning for wireless networks and 5G and Beyond; ● New integration resource management architecture of cloud, and Computational Offloading MEC; ● Cross-layer service discovery and service recommendations for Computational Offloading MEC; ● Multi-user computation offloading for Computational Offloading MEC; ● Joint offloading and caching optimization for Computational Offloading MEC; ● Multi-edge-server collaboration for Computational Offloading MEC; ● Delay minimization service provision for Computational Offloading MEC; ● Cross-layer collaborative distributed systems for Computational Offloading MEC; ● Software-defined Computational Offloading MEC; ● Mobility management for Computational Offloading MEC; ● Security, privacy, and trust of Computational Offloading MEC; ● Cross-layer collaborative Computational Offloading MEC; ● Applications, such as smart city, smart grid, and intelligent transportation systems; ● Other green Computational Offloading MEC related topics.
Last updated by Regina Liu in 2022-10-27
Special Issue on Renewable Power Generation, Energy Storage, and Resource Management Challenges and Solutions
Submission Date: 2023-05-31

Solar and wind are free, renewable, and geographically spread sources of energy. They are a technically and economically viable alternative to fossil fuel sources and a trend for future energy solutions that help achieve net zero emissions across the energy value chain, from power generation or production to storage to distribution. At the same time, the recent energy crisis has made the importance of renewable energy even more prominent. Additionally, the dependence of this renewable energy on weather conditions, poses a huge challenge to the operators of the national grid and consumers with high energy demand. This special issue looks forward to study one of the best ways to enter the post-fossil fuel civilization - the research status and challenges of renewable energy generation storage and distribution, hoping that the wind and sunshine that we can feel every day can not only bring happiness but also bring an energy that contributes to the progress of human society.
Last updated by Regina Liu in 2022-11-01
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