Bharath Aleti

dblp:47/6505 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none

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

Databases, data management, data science and information retrieval · 2

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
2 papers
Storage systems · 93% Performance modeling and evaluation · 7%
Databases, data mining, and information retrieval
1 paper
Indexing and storage engines · 100%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Storage systems › data management
database storage
0.222009
Oracle SecureFiles: Prepared for the Digital Deluge · Proc. VLDB Endow. 2009
Oracle SecureFiles System · Proc. VLDB Endow. 2008
Storage systems › data management › database storage
semi-structured data storage
0.222009
Oracle SecureFiles: Prepared for the Digital Deluge · Proc. VLDB Endow. 2009
Oracle SecureFiles System · Proc. VLDB Endow. 2008
Storage systems
storage reliability
0.222009
Oracle SecureFiles: Prepared for the Digital Deluge · Proc. VLDB Endow. 2009
Oracle SecureFiles System · Proc. VLDB Endow. 2008
Storage systems › transaction support
transactional storage
0.222009
Oracle SecureFiles: Prepared for the Digital Deluge · Proc. VLDB Endow. 2009
Oracle SecureFiles System · Proc. VLDB Endow. 2008
Performance modeling and evaluation
benchmarking
0.012009
Oracle SecureFiles: Prepared for the Digital Deluge · Proc. VLDB Endow. 2009
Performance modeling and evaluation › benchmarking
storage benchmarking
0.012009
Oracle SecureFiles: Prepared for the Digital Deluge · Proc. VLDB Endow. 2009
Indexing and storage engines › storage management
storage architecture
0.012008
Oracle SecureFiles System · Proc. VLDB Endow. 2008

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

deduplication · 0.2compression · 0.2performance evaluation · 0.1
YearPublicationVenuePosition
2009 Oracle SecureFiles: Prepared for the Digital Deluge
abstract
Digital unstructured data volumes across enterprise, Internet and multimedia applications are predicted to surpass 6.023x10 23 (Avogadro's number) bits a year in the next fifteen years. This poses tremendous scalability challenges for data management solutions in the coming decades. Filesystems seem to be preferred by data management application designers for providing storage solutions for such unstructured data volumes. Oracle SecureFiles is emerging as the database solution to break the performance barrier that has kept unstructured content out of database management systems and to provide advanced filesystem functionality, while letting applications fully leverage the strengths of the RDBMS from transactions to partitioning to rollforward recovery. A set of preliminary performance results was presented at the 34th International Conference on Very Large Data Bases (VLDB 2008). It was claimed that SecureFiles would scale maximally as physical storage systems scale up. We legitimize our claims on SecureFiles scalability through this paper, presenting the scalability aspects of SecureFiles through a performance evaluation of I/O bound filesystem like operations on one of the latest high performance cluster of servers and storage. We are presenting benchmark results that we believe represent a world record database insertion rate for any published result - at over 4.4GB/S using a cluster of seven servers. For 100 byte rows, that represents an insertion rate of 45 billion records a second in relational terms. In terms of unstructured data storage, the scale represents an insertion rate of more than 3.7 million 100 MB high-resolution multimedia videos a day.
Niloy Mukherjee, Amit Ganesh, V. Djegaradjane, Sujatha Muthulingam, Wei Zhang 0051, Scott Lynn, Krishna Kunchithapadam, Bharath Aleti, Kam Shergill
Proc. VLDB Endow.8
2008 Oracle SecureFiles System
abstract
Over the last decade, the nature of content stored on computer storage systems has evolved from being relational to being semi-structured, i.e., unstructured data accompanied by relational metadata. Average data volumes have increased from a few hundred megabytes to hundreds of terabytes. Simultaneously, data feed rates have also increased with increase in processor, storage and network bandwidths. Data growth trends seem to be following Moore's law and thereby imply an exponential explosion in content volumes and rates in the years to come. The near future poses requirements for data management systems to provide solutions that provide unlimited scalability in execution, availability, recoverability and storage usage of semi-structured content. Traditionally, filesystems have been preferred over database management systems for providing storage solutions for unstructured data, while databases have been the preferred choice to manage relational data. Lack of consolidated semi-structured content management architecture compromises security, availability, recoverability, and manageability among other features. We introduce a system without compromises, the Oracle SecureFiles System, designed to provide highly scalable storage and access execution of unstructured and structured content as first-class objects within the Oracle relational database management system. Oracle SecureFiles breaks the performance barrier that has kept such content out of databases. The architecture provides capability to maximize utilization of storage usage through compression and de-duplication and achieves robustness by preserving transactional atomicity, durability, availability, read-consistent query-ability and security of the database management system.
Niloy Mukherjee, Bharath Aleti, Amit Ganesh, Krishna Kunchithapadam, Scott Lynn, Sujatha Muthulingam, Kam Shergill, Wei Zhang 0051
Proc. VLDB Endow.2