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Sagar Shedge

dblp:325/9515 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2022
—ORCID · unresolved

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

Databases, data management, data science and information retrieval · 1 · 1 first-author · 1 since 2021

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.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Memory systems · 33% Storage systems · 33% Cloud and datacenter computing · 33%

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

TopicWeightPapersLastEvidence papers
Memory systems
cache
0.612022
An Extended SSD-Based Cache for Efficient Object Store Access in SAP IQ · ICDE 2022
Cloud and datacenter computing › cloud data management
cloud-native database
0.612022
An Extended SSD-Based Cache for Efficient Object Store Access in SAP IQ · ICDE 2022
Storage systems › flash and SSD
SSD cache
0.612022
An Extended SSD-Based Cache for Efficient Object Store Access in SAP IQ · ICDE 2022

Methods — techniques the papers use, named apart from their topics

buffer management · 0.6SSD caching · 0.6
YearPublicationVenuePosition
2022 An Extended SSD-Based Cache for Efficient Object Store Access in SAP IQ
abstract
The cloud-native version of SAP IQ aims to reduce the storage and compute costs by storing data directly on object stores while benefiting from the greater elasticity and scale-out properties that are offered. In the cloud-native version of SAP IQ, the buffer manager has gone through a significant re-design for two major reasons. First, RAM is more expensive on the cloud; therefore, a buffer manager that relies exclusively on RAM would not have been a viable solution. Second, on object stores, read and write operations are generally associated with higher latencies. To counteract the impact of higher latencies without utilizing more RAM, we have extended SAP IQ's buffer manager with a second layer of cache, namely, the Extended Cache Manager (ECM). The ECM relies on fast solid state drives (SSDs). In this paper, we describe our experience with the design and implementation of the ECM, in particular, the design choices we had to make to overcome the fact that, when compared to object stores, SSDs have a much more limited I/O bandwidth.
Sagar Shedge, Nishant Sharma, Anant Agarwal, Mohammed Abouzour, Günes Aluç
ICDE1