ACM TRANSACTIONS ON COMPUTER SYSTEMS

Scope & Guideline

Shaping Tomorrow's Technology through Rigorous Scholarship

Introduction

Welcome to the ACM TRANSACTIONS ON COMPUTER SYSTEMS information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of ACM TRANSACTIONS ON COMPUTER SYSTEMS, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN0734-2071
PublisherASSOC COMPUTING MACHINERY
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 1983 to 2024
AbbreviationACM T COMPUT SYST / ACM Trans. Comput. Syst.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address1601 Broadway, 10th Floor, NEW YORK, NY 10019-7434

Aims and Scopes

ACM Transactions on Computer Systems focuses on advancing the understanding and development of computer systems through research that bridges hardware and software innovations. The journal aims to publish high-quality papers that contribute to the design, implementation, and evaluation of computer systems, highlighting both theoretical and practical aspects.
  1. Resource Management and Optimization:
    Research in this area focuses on efficient resource allocation and management strategies within computer systems. This includes optimizing performance for shared resources in microservices, memory management frameworks, and systems for heterogeneous computing environments.
  2. Virtualization and Containerization:
    The journal emphasizes advancements in virtualization technologies, including frameworks for managing tiered memory and container migration. Papers often explore the interplay between hardware and software in virtualized environments, enhancing efficiency and scalability.
  3. Networking and Communication Protocols:
    Publications include studies on network architecture, inter-process communication, and network-on-chip designs. This area addresses challenges in data transmission, security, and performance optimization in distributed systems.
  4. High-Performance Computing and Architectures:
    Research contributions often revolve around enhancing computational efficiency through innovative architectures, such as those for GPUs and multi-core systems, as well as optimizing algorithms for high-throughput computing.
  5. Data Processing Frameworks and Big Data:
    The journal covers advancements in frameworks for big data processing, emphasizing the need for unified memory management and efficient data handling strategies across diverse computing environments.
Recent publications in ACM Transactions on Computer Systems indicate a clear shift towards innovative and integrated approaches in computer systems research. The following themes have emerged as particularly relevant and significant in the current landscape.
  1. Heterogeneous Computing and Memory Management:
    Research focusing on heterogeneous architectures and memory management frameworks is on the rise. This includes studies on tiered memory systems and heterogeneous-ISA container migration, reflecting the growing importance of optimizing resources in diverse computing environments.
  2. Microservices and Cloud Computing Optimization:
    The trend towards microservices architecture is evident, with increasing research on resource management and scalability in cloud environments. This reflects a broader industry shift towards modular, efficient service-oriented architectures.
  3. Blockchain and Data Provenance:
    Emerging interest in blockchain technologies and their applications in data management and security is notable. The reformulation of blockchain into composable structures for cross-domain applications signifies a growing interdisciplinary focus.
  4. AI and Machine Learning Integration in Systems Design:
    There is a rising trend in integrating AI and machine learning techniques into system design, particularly in optimizing performance and resource utilization for data center applications, indicating a pivotal shift towards intelligent systems.
  5. Real-time and Adaptive Systems:
    Research on real-time systems and adaptive computing solutions is gaining traction, emphasizing the need for systems that can adjust dynamically to varying workloads and environments.

Declining or Waning

As the field of computer systems evolves, certain themes that were previously prominent are seeing a decline in frequency or relevance. This section highlights these waning scopes based on recent publications.
  1. Traditional Operating System Mechanisms:
    While foundational operating systems concepts remain important, there seems to be a shift away from traditional operating system topics in favor of more dynamic and scalable solutions such as microservices and containerization.
  2. Static Analysis Techniques:
    Research on static analysis methods is appearing less frequently, possibly indicating a shift towards more dynamic and real-time analysis techniques that can better accommodate modern system complexities.
  3. Legacy Hardware Integration:
    There is a noticeable reduction in studies focusing on integrating legacy hardware systems, as the community increasingly prioritizes novel architectures and heterogeneous systems that can better meet current computational demands.

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