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ACM SIGOPS Operating Systems Review is a peer-reviewed journal published by ACM, covering Parallel Computing and Optimization Techniques, Distributed systems and fault tolerance, Advanced Data Storage Technologies.
| 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. ACM SIGOPS Operating Systems Review 12, 3, Article 45 (2023).
Formats any DOI in ACM SIGOPS Operating Systems Review style. No sign-up. |
| Publishes research in | Parallel Computing and Optimization Techniques Distributed systems and fault tolerance Advanced Data Storage Technologies Distributed and Parallel Computing Systems Cloud Computing and Resource Management |
| ISSN | 0163-5980 |
| Citation impact (2-yr) | 1.23 |
| h-index | 145 |
| i10-index | 980 |
| Total citations | 101,665 |
| Top institutions publishing here | Stanford University |
| Journal website | portal.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.
Numerous systems have been designed which use virtualization to subdivide the ample resources of a modern computer. Some require specialized hardware, or cannot support commodity operating systems. Some target 100% binary compatibility at the expense of performance. Others sacrifice security or functionality for speed. Few offer resource isolation or performance guarantees; most provide only best-effort…
We have designed and implemented the Google File Sys-tem, a scalable distributed file system for large distributed data-intensive applications. It provides fault tolerance while running on inexpensive commodity hardware, and it delivers high aggregate performance to a large number of clients. While sharing many of the same goals as previous dis-tributed file systems, our design…
We present the Tiny AGgregation (TAG) service for aggregation in low-power, distributed, wireless environments. TAG allows users to express simple, declarative queries and have them distributed and executed efficiently in networks of low-power, wireless sensors. We discuss various generic properties of aggregates, and show how those properties affect the performance of our in network approach.…
Cassandra is a distributed storage system for managing very large amounts of structured data spread out across many commodity servers, while providing highly available service with no single point of failure. Cassandra aims to run on top of an infrastructure of hundreds of nodes (possibly spread across different data centers). At this scale, small and…
Recent advances in miniaturization and low-cost, low-power design have led to active research in large-scale networks of small, wireless, low-power sensors and actuators. Time synchronization is critical in sensor networks for diverse purposes including sensor data fusion, coordinated actuation, and power-efficient duty cycling. Though the clock accuracy and precision requirements are often stricter than in…
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