Write in a clean editor, then format for Queue in one click — DocuGuru applies the official ACM template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
Queue is a peer-reviewed journal published by ACM, covering Distributed and Parallel Computing Systems, Software System Performance and Reliability, Cloud Computing and Resource Management.
| Publisher | ACM |
|---|---|
| Reference style | Numbered (ACM) Numbered — [1], [2] in the text [1] Ada Smith, Ben Jones, and Cara Lee. 2023. A representative article title. Queue 12, 3, Article 45 (2023).
Formats any DOI in Queue style. No sign-up. |
| Publishes research in | Distributed and Parallel Computing Systems Software System Performance and Reliability Cloud Computing and Resource Management Parallel Computing and Optimization Techniques Distributed systems and fault tolerance |
| ISSN | 1542-7730 |
| Citation impact (2-yr) | 1.29 |
| h-index | 62 |
| i10-index | 262 |
| Total citations | 17,902 |
| Top institutions publishing here | Queues Enforth Development (United States) |
| Journal website | queue.acm.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
The advent of multicore CPUs and manycore GPUs means that mainstream processor chips are now parallel systems. Furthermore, their parallelism continues to scale with Moore’s law. The challenge is to develop mainstream application software that transparently scales its parallelism to leverage the increasing number of processor cores, much as 3D graphics applications transparently scale their…
When bottleneck buffers are large, loss-based congestion control keeps them full, causing bufferbloat. When bottleneck buffers are small, loss-based congestion control misinterprets loss as a signal of congestion, leading to low throughput. Fixing these problems requires an alternative to loss-based congestion control. Finding this alternative requires an understanding of where and how network congestion originates.
The emergence of machine learning as a society-changing technology in the past decade has triggered concerns about people's inability to understand the reasoning of increasingly complex models. The field of IML (interpretable machine learning) grew out of these concerns, with the goal of empowering various stakeholders to tackle use cases, such as building trust in…
Concurrency has long been touted as the "next big thing" and "the way of the future," but for the past 30 years, mainstream software development has been able to ignore it. Our parallel future has finally arrived: new machines will be parallel machines, and this will require major changes in the way we develop software.…
Though widespread interest in software containers is a relatively recent phenomenon, at Google we have been managing Linux containers at scale for more than ten years and built three different container-management systems in that time. Each system was heavily influenced by its predecessors, even though they were developed for different reasons. This article describes the…
ACM Conference Proceedings
ACM Transactions on AI for Science
ACM Transactions on Computation Theory
ACM Transactions on Database Systems
ACM Transactions on Information Systems
ACM Transactions on Mathematical Software
ACM Transactions on Programming Languages and Systems
ACM Transactions on Spatial Algorithms and Systems
