Communications of the ACM
Latest Research
From Communications of the ACM
Technical Perspective: Is Scale Your Enemy, Or Is Scale Your Friend?
Scale has been the single most important force driving changes in system software over the last decade. Its impact is...
From Communications of the ACM
Technical Perspective: FAWN: A Fast Array of Wimpy Nodes
The emergence of wimpy processors and FLASH met a promising deployment scenario in the field of large-scale data centers. The energy efficiency potential of these...
From Communications of the ACM
FAWN: A Fast Array of Wimpy Nodes
This paper presents a fast array of wimpy nodes — FAWN — an approach for achieving low-power data-intensive data-center computing.
From Communications of the ACM
Dremel: Interactive Analysis of Web-Scale Datasets
Dremel is a scalable, interactive ad hoc query system for analysis of read-only nested data. By combining multilevel execution trees and columnar data layout, it...
From Communications of the ACM
Technical Perspective: Data Analysis at Astonishing Speed
The importance of data analysis has never been clearer. Globe-spanning scientific collaborations are exploring...
From Communications of the ACM
Technical Perspective: Complex Financial Products: Caveat Emptor
CDOs are examples of financial derivatives, with a value that depends on the underlying assets with which they are linked. These kinds of complex financial products...
From Communications of the ACM
Computational Complexity and Information Asymmetry in Financial Products
Securitization of cash flows using financial derivatives transformed the financial industry over the last three decades. Derivatives...
From Communications of the ACM
Liability Issues in Software Engineering: The Use of Formal Methods to Reduce Legal Uncertainties
This paper reports on the results of a multidisciplinary project involving lawyers and computer scientists with the aim to put forward a set of methods and tools...
From Communications of the ACM
Technical Perspective: Liability Issues in Software Engineering
The paper by LeMétayer et al. addresses one technical issue in a large and serious problem in the production...
From Communications of the ACM
VL2: A Scalable and Flexible Data Center Network
VL2 is a practical network architecture that scales to support huge data centers with uniform high capacity between servers, performance isolation between services...
From Communications of the ACM
Technical Perspective: VL2
The Internet is increasingly a platform for online services running on rack after rack of servers. With the advent of large data centers, the study of the networks...
From Communications of the ACM
DRAM Errors in the Wild: A Large-Scale Field Study
While a large body of work exists on DRAM in lab conditions, little has been reported on real DRAM failures in large production clusters. In this paper, we analyze...
From Communications of the ACM
Technical Perspective: DRAM Errors in the Wild
In order to advance the field, knowledge of the types of memory errors at the system level, their frequencies, and conditions that exacerbate or are unrelated to...
From Communications of the ACM
Path Selection and Multipath Congestion Control
This paper studies data transfers under two classes of multipath control, coordinated control where the rates...
From Communications of the ACM
Technical Perspective: Multipath, A New Control Architecture For the Internet
Multipath transmission for the Internet—that is, allowing users to send some of their packets along one path and...
From Communications of the ACM
Sora: High-Performance Software Radio Using General-Purpose Multi-Core Processors
Sora, a fully programmable software radio platform on commodity PC architectures, combines the performance and fidelity of hardware software-defined radio platforms...
From Communications of the ACM
Technical Perspective: Sora Promises Lasting Impact
The objective of Sora is to build a software defined radio that combines the performance and fidelity of hardware...
From Communications of the ACM
CoSaMP: Iterative Signal Recovery From Incomplete and Inaccurate Samples
Compressive sampling (CoSa) is a new paradigm for developing data sampling technologies. The main computational challenge in CoSa is to reconstruct a compressible...
From Communications of the ACM
Technical Perspective: Iterative Signal Recovery From Incomplete Samples
You are given a large set of data values, and you are requested to compress, clean, recover, recognize, and/or predict...
From Communications of the ACM