Sustainable Computing-Informatics & Systems

Scope & Guideline

Unleashing the potential of computing for a sustainable future.

Introduction

Delve into the academic richness of Sustainable Computing-Informatics & Systems with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN2210-5379
PublisherELSEVIER
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 2011 to 2024
AbbreviationSUSTAIN COMPUT-INFOR / Sust. Comput.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS

Aims and Scopes

The journal 'Sustainable Computing: Informatics & Systems' focuses on advancing knowledge and research in sustainable computing through innovative methodologies and interdisciplinary approaches. It aims to address the challenges posed by energy consumption and environmental impact within computing systems, emphasizing the integration of sustainability principles across various domains.
  1. Sustainable Computing Practices:
    The journal emphasizes research on sustainable computing practices that minimize energy consumption and carbon footprint across various computing environments, including cloud computing, mobile computing, and IoT.
  2. Energy Efficiency Optimization:
    A core focus is on optimizing energy usage in computing systems through innovative algorithms, machine learning techniques, and metaheuristic approaches to enhance performance while reducing energy demands.
  3. Green Cloud Computing:
    Research topics include strategies for green cloud computing, addressing challenges around resource allocation, task scheduling, and energy management in data centers.
  4. Smart Systems Integration:
    The journal explores the integration of smart technologies, such as IoT and AI, in sustainable systems, aiming to improve efficiency and reduce environmental impact in sectors like agriculture, healthcare, and urban management.
  5. Renewable Energy Utilization:
    It promotes research on the utilization of renewable energy sources in computing systems, including energy management frameworks for smart grids and renewable-powered data centers.
Recent publications in 'Sustainable Computing: Informatics & Systems' reflect emerging trends that highlight the journal's adaptability to current technological advancements and societal needs. These trends indicate a strong focus on integrating sustainability with cutting-edge technologies.
  1. AI and Machine Learning for Sustainability:
    There is a significant increase in research that utilizes AI and machine learning to optimize energy efficiency and sustainability across various applications, indicating a trend towards intelligent systems.
  2. Blockchain Technology in Energy Management:
    Emerging themes include the application of blockchain technology for secure and efficient energy management systems, particularly in smart grids and decentralized energy resources.
  3. Smart Agriculture and Environmental Monitoring:
    Research focusing on smart agriculture practices and environmental monitoring using IoT and machine learning has surged, reflecting a growing interest in sustainable farming and resource management.
  4. Multi-Agent Systems for Resource Optimization:
    The use of multi-agent systems for optimizing resource allocation and energy management in complex environments is increasingly prominent, showcasing a shift towards decentralized and collaborative approaches.
  5. Resilience in Computing Systems:
    Emerging studies are addressing the resilience and reliability of computing systems under dynamic conditions, indicating a growing recognition of the need for robust solutions in sustainability.

Declining or Waning

While the journal has consistently focused on various aspects of sustainable computing, certain themes appear to be losing traction based on recent publications. This decline may reflect shifts in research priorities or a saturation of studies in these areas.
  1. Traditional Resource Management Techniques:
    Research focusing on conventional resource management techniques without integrating modern optimization strategies or AI is becoming less prevalent, as newer methodologies gain prominence.
  2. Static Energy Consumption Models:
    There is a noticeable decline in studies centered around static models for energy consumption, as the field moves towards dynamic and adaptive models that better reflect real-world scenarios.
  3. General Surveys on Sustainable Practices:
    Generalized survey papers that do not contribute new insights or methodologies are being published less frequently, indicating a shift towards more innovative and applied research.

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