Write in a clean editor, then format for Proceedings of the ACM on Measurement and Analysis of Computing Systems 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.
Proceedings of the ACM on Measurement and Analysis of Computing Systems is a peer-reviewed journal published by ACM, covering Cloud Computing and Resource Management, Advanced Data Storage Technologies, Parallel Computing and Optimization Techniques. Over its lifetime it has published 520 papers, which have received 5,779 citations.
| 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. Proceedings of the ACM on Measurement and Analysis of Computing Systems 12, 3, Article 45 (2023).
Formats any DOI in Proceedings of the ACM on Measurement and Analysis of Computing Systems style. No sign-up. |
| Publishes research in | Cloud Computing and Resource Management Advanced Data Storage Technologies Parallel Computing and Optimization Techniques Advanced Queuing Theory Analysis Optimization and Search Problems |
| ISSN | 2476-1249 |
| Citation impact (2-yr) | 3.03 |
| h-index | 33 |
| i10-index | 174 |
| Top institutions publishing here | Carnegie Mellon University |
| Journal website | dl.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.
We consider the distributed statistical learning problem over decentralized systems that are prone to adversarial attacks. This setup arises in many practical applications, including Google's Federated Learning . Formally, we focus on a decentralized system that consists of a parameter server and m working machines; each working machine keeps N/m data samples, where N is…
High scalability and low running costs have made fuzz testing the de facto standard for discovering software bugs. Fuzzing techniques are constantly being improved in a race to build the ultimate bug-finding tool. However, while fuzzing excels at finding bugs in the wild, evaluating and comparing fuzzer performance is challenging due to the lack of…
Large-scale machine learning and data mining applications require computer systems to perform massive matrix-vector and matrix-matrix multiplication operations that need to be parallelized across multiple nodes. The presence of straggling nodes -- computing nodes that unpredictably slowdown or fail -- is a major bottleneck in such distributed computations. Ideal load balancing strategies that dynamically allocate…
In 2016, Google proposed and deployed a new TCP variant called BBR. BBR represents a major departure from traditional congestion-window-based congestion control. Instead of using loss as a congestion signal, BBR uses estimates of the bandwidth and round-trip delays to regulate its sending rate. The last major study on the distribution of TCP variants on…
Compared to planar (i.e., two-dimensional) NAND flash memory, 3D NAND flash memory uses a new flash cell design, and vertically stacks dozens of silicon layers in a single chip. This allows 3D NAND flash memory to increase storage density using a much less aggressive manufacturing process technology than planar NAND flash memory. The circuit-level and…
