Demo Data from EDBT 2026 / reviewers in the wild / expert
Ashok Joshi
dblp:36/1758
· DBLP profile ↗
7ranked-venue papers
1as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 6 · 1 first-authorArtificial intelligence and machine learning · 1
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
3 papers |
Cloud and datacenter computing · 78% Distributed systems · 15% Storage systems · 7% | |
| Databases, data mining, and information retrieval
6 papers |
Transaction processing and concurrency control · 44% Database system architecture and tuning · 18% Data models and query languages · 18% |
Topics — the 7 heaviest of 9, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cloud and datacenter computing
cloud data management |
0.1 | 1 | 2010 | Cloudy skies for data management · ICDE 2010 |
Transaction processing and concurrency control › recovery
crash recovery |
0.0 | 1 | 2001 | Fast-Start: Quick Fault Recovery in Oracle · SIGMOD Conference 2001 |
Transaction processing and concurrency control
recovery |
0.0 | 1 | 1998 | Checkpointing in Oracle · VLDB 1998 |
Distributed systems › fault tolerance
checkpointing |
0.0 | 1 | 1998 | Checkpointing in Oracle · VLDB 1998 |
Indexing and storage engines
buffer management |
0.0 | 1 | 1997 | The Oracle Universal Server Buffer · VLDB 1997 |
Storage systems
storage reliability |
0.0 | 1 | 2001 | Fast-Start: Quick Fault Recovery in Oracle · SIGMOD Conference 2001 |
Query processing and optimization
parallel query processing |
0.0 | 1 | 1998 | 50,000 Users on an Oracle8 Universal Server Database · SIGMOD Conference 1998 |
Methods — techniques the papers use, named apart from their topics
survey · 0.2persistent transaction locking · 0.1adaptive checkpointing · 0.1resource sharing · 0.0process and buffer management · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Evolutionary method based integrated guidance strategy for reentry vehicles
Gangireddy Sushnigdha, Ashok Joshi |
Eng. Appl. Artif. Intell. | 2 |
| 2010 | Cloudy skies for data managementabstractThis paper discusses about what cloud computing means for data management from an industrial perspective, illustrate challenges, opportunities, technologies and impact. We will also ask where cloud computing stands on the hype curve, if we are reinventing the wheel with some technologies, and outline important research questions the data management community should address to move cloud computing to the next level. David Campbell, Brian Cooper, Dean Jacobs, Ashok Joshi, Volker Markl, Srinivas Narayanan |
ICDE | 4 |
| 2001 | Fast-Start: Quick Fault Recovery in OracleabstractAvailability requirements for database systems are more stringent than ever before with the widespread use of databases as the foundation for ebusiness. This paper highlights Fast-Start™ Fault Recovery, an important availability feature in Oracle, designed to expedite recovery from unplanned outages. Fast-Start allows the administrator to configure a running system to impose predictable bounds on the time required for crash recovery. For instance, fast-start allows fine-grained control over the duration of the roll-forward phase of crash recovery by adaptively varying the rate of checkpointing with minimal impact on online performance. Persistent transaction locking in Oracle allows normal online processing to be resumed while the rollback phase of recovery is still in progress, and fast-start allows quick and transparent rollback of changes made by uncommitted transactions prior to a crash. Tirthankar Lahiri, Amit Ganesh, Ron Weiss, Ashok Joshi |
SIGMOD Conference | 4 |
| 1998 | 50,000 Users on an Oracle8 Universal Server DatabaseabstractIn this paper, we describe the Oracle Large User Population Demonstration and highlight the scalability mechanisms in the Oracle8 Universal Data Server which make it possible to support as many as 50,000 concurrent users on a single Oracle8 database without any middle-tier TP-monitor software. Supporting such large user populations requires many mechanisms for high concurrency and throughput. Algorithms in all areas of the server ranging from process and buffer management to SQL compilation and execution must be designed to be highly scalable. Efficient resource sharing mechanisms are required to prevent server-side resource requirements from growing unboundedly with the number of users. Parallel execution across multiple systems is necessary to allow user-population and throughput to scale beyond the restrictions of a single system. In addition to scalability, mechanisms for high availability, ease-of-use, and rich functionality are necessary for supporting complex user applications typical of realistic workloads. All mechanisms must be portable to a wide variety of installations ranging from desk-top systems to large scale enterprise servers and to a wide variety of operating systems. Tirthankar Lahiri, Ashok Joshi, Amit Jasuja, Sumanta Chatterjee |
SIGMOD Conference | 2 |
| 1998 | KODA - The Architecture And Interface of a Data Model Independent Kernel
Gopalan Arun, Ashok Joshi |
VLDB | 2 |
| 1998 | Checkpointing in Oracle
Ashok Joshi, William Bridge, Juan Loaiza, Tirthankar Lahiri |
VLDB | 1 |
| 1997 | The Oracle Universal Server Buffer
William Bridge, Ashok Joshi, M. Keihl, Tirthankar Lahiri, Juan Loaiza, Neil MacNaughton |
VLDB | 2 |