2009 - Member of the National Academy of Engineering For contributions to locking and recovery algorithms for database systems.
2003 - IEEE Fellow For contributions to robust high-performance transaction management.
2002 - ACM Fellow For contributions to reliable, high-performance transaction management.
His primary areas of investigation include Database, Database transaction, Operating system, Transaction processing and Concurrency. His Database research incorporates elements of Software engineering and Current. His work on Concurrency control, Serializability, Distributed transaction and Transaction log as part of general Database transaction study is frequently linked to Data sharing, bridging the gap between disciplines.
His Concurrency control study combines topics in areas such as Information system and Rollback. In general Operating system, his work in Cache and Object-oriented programming is often linked to Smart Cache and Base linking many areas of study. His Concurrency research is multidisciplinary, incorporating perspectives in Isolation, Index locking and Theoretical computer science.
Chandrasekaran Mohan mainly investigates Database, Database transaction, Operating system, Distributed computing and Commit. His Database transaction research is multidisciplinary, relying on both Consistency, Concurrency and Undo. His work on Cache as part of general Operating system research is frequently linked to Page cache, Page fault and Page replacement algorithm, bridging the gap between disciplines.
The Distributed computing study combines topics in areas such as Windows Workflow Foundation, Workflow engine, Workflow technology, Workflow and Workflow management system. In Commit, Chandrasekaran Mohan works on issues like Two-phase commit protocol, which are connected to Three-phase commit protocol. The study incorporates disciplines such as Parallel computing and Rollback in addition to Concurrency control.
Chandrasekaran Mohan focuses on Database, Database transaction, World Wide Web, Column and Table. His research integrates issues of Computer hardware and Set in his study of Database. His studies deal with areas such as Database server, Statement and Database tuning, Intelligent database as well as Database transaction.
His Column study also includes
Chandrasekaran Mohan mainly focuses on Database, World Wide Web, Persistent Memory Device, Transaction processing and Pointer. His Database study integrates concerns from other disciplines, such as Process, Database index and Data mining. His World Wide Web study incorporates themes from Library science and Big data.
Chandrasekaran Mohan interconnects Transaction log and Computer program in the investigation of issues within Persistent Memory Device. His Transaction processing research is multidisciplinary, incorporating elements of Transaction data, Hash function and Operating system. Chandrasekaran Mohan integrates many fields in his works, including Pointer and Data page.
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ARIES: a transaction recovery method supporting fine-granularity locking and partial rollbacks using write-ahead logging
C. Mohan;Don Haderle;Bruce Lindsay;Hamid Pirahesh.
ACM Transactions on Database Systems (1992)
Transaction management in the R* distributed database management system
C. Mohan;B. Lindsay;R. Obermarck.
ACM Transactions on Database Systems (1986)
Advanced transaction models in workflow contexts
G. Alonso;D. Agrawal;A. El Abbadi;M. Kamath.
international conference on data engineering (1996)
Multi-tiered indexing method for partitioned data
Deebitsudo Emu Chiyoi;Chiyandoraseharan Moon.
ARIES/IM: an efficient and high concurrency index management method using write-ahead logging
C. Mohan;Frank Levine.
international conference on management of data (1992)
Concurrently applying redo records to backup database in a log sequence using single queue server per queue at a time
Chiyandorasekaran Mohan;Ronarudo Eru Obaamaaku;Richiyaado Kei Toreebaa.
ARIES/KVL: A Key-Value Locking Method for Concurrency Control of Multiaction Transactions Operating on B-Tree Indexes
very large data bases (1990)
Exotica/FMQM: A Persistent Message-Based Architecture for Distributed Workflow Management
G. Alonso;C. Mohan;R. Günthör;D. Agrawal.
System and method for adaptive database caching
Mehmet Altinel;Christof Bomhoevd;Chandrasekaran Mohan;Mir Hamid Pirahesh.
Middle-tier database caching for e-business
Qiong Luo;Sailesh Krishnamurthy;C. Mohan;Hamid Pirahesh.
international conference on management of data (2002)
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