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Somasundaram Perianayagam

dblp:84/3723 · also Somu Perianayagam · DBLP profile ↗
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4ranked-venue papers
1as first author
2since 2021 · last 2023
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 3 · 2 since 2021Software engineering, systems software and programming languages · 1Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
2 papers
Transaction processing and concurrency control · 54% Database system architecture and tuning · 46%
Computer architecture, parallel and distributed computing, and storage systems
2 papers
Cloud and datacenter computing · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing
database-as-a-service
0.822023
Distributed Transactions at Scale in Amazon DynamoDB · USENIX ATC 2023
Amazon DynamoDB: A Scalable, Predictably Performant, and Fully Managed NoSQL Database Service · USENIX ATC 2022
Transaction processing and concurrency control
distributed transaction processing
0.712023
Distributed Transactions at Scale in Amazon DynamoDB · USENIX ATC 2023
YearPublicationVenuePosition
2023 Distributed Transactions at Scale in Amazon DynamoDB
Joseph Idziorek, Alex Keyes, Colin Lazier, Somasundaram Perianayagam, Prithvi Ramanathan, James Christopher Sorenson III, Douglas B. Terry, Akshat Vig
USENIX ATC4
2022 Amazon DynamoDB: A Scalable, Predictably Performant, and Fully Managed NoSQL Database Service
Mostafa Elhemali, Niall Gallagher, Nick Gordon, Joseph Idziorek, Richard Krog, Colin Lazier, Erben Mo, Akhilesh Mritunjai, Somasundaram Perianayagam, Tim Rath, Swami Sivasubramanian, James Christopher Sorenson III, Sroaj Sosothikul, Douglas B. Terry, Akshat Vig
USENIX ATC9
2010 Rex: A toolset for reproducing software experiments
abstract
Software experiments such as BLAST are hard to reproduce even if identical hardware is available because external data sets could have changed, software used in the original experiment may be unavailable, or the input parameters for the experiment may not be documented. This paper presents Rex, a toolset that allows one to record an experiment and archive its apparatus, replay an experiment, conduct new experiments on a recorded apparatus, and compare differences between experiments. The execution time overhead of recording experiments is on average about 2%; the space overhead of an archive ranges from 8 MB to 5 GB.
Somasundaram Perianayagam, Gregory R. Andrews, John H. Hartman
BIBM1
2007 Code Compaction of an Operating System Kernel
abstract
General-purpose operating systems, such as Linux, are increasingly being used in embedded systems. Computational resources are usually limited, and embedded processors often have a limited amount of memory. This makes code size especially important. This paper describes techniques for automatically reducing the memory footprint of general-purpose operating systems on embedded platforms. The problem is complicated by the fact that kernel code tends to be quite different from ordinary application code, including the presence of a significant amount of hand-written assembly code, multiple entry points, implicit control flow paths involving interrupt handlers, and frequent indirect control flow via function pointers. We use a novel "approximate decompilation" technique to apply source-level program analysis to hand-written assembly code. A prototype implementation of our ideas on an Intel x86 platform, applied to a Linux kernel that has been configured to exclude unnecessary code, obtains a code size reduction of close to 24%
Haifeng He, John Trimble, Somasundaram Perianayagam, Saumya K. Debray, Gregory R. Andrews
CGO3