Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Ashish Gehani"'
Publikováno v:
IEEE Access, Vol 11, Pp 1718-1731 (2023)
The data generated by large scale scientific systems such as NASA’s Earth Observing System Data and Information System is expected to increase substantially. Consequently, applications processing these huge volumes of data suffer from lack of stora
Externí odkaz:
https://doaj.org/article/9c6fa577a19f4e1893e4a18a86bab29e
Autor:
Jorge A. Navas, Ashish Gehani
Publikováno v:
Communications of the ACM. 66:40-47
Leveraging scalable pointer analysis, value analysis, and dynamic analysis.
Autor:
Jorge A. Navas, Ashish Gehani
Publikováno v:
Queue. 20:58-85
OCCAM-v2 leverages scalable pointer analysis, value analysis, and dynamic analysis to create an effective and efficient tool for specializing LLVM bitcode. The extent of the code-size reduction achieved depends on the specific deployment configuratio
Publikováno v:
2022 IEEE 29th International Conference on High Performance Computing, Data, and Analytics (HiPC).
Publikováno v:
Communications of the ACM. 64:48-56
Several interfaces exist for querying provenance. Many are not flexible in allowing users to select a database type of their choice. Some provide query functionality in a data model that is differe...
Publikováno v:
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering.
Autor:
Mashal Abbas, Shahpar Khan, Abdul Monum, Fareed Zaffar, Rashid Tahir, David Eyers, Hassaan Irshad, Ashish Gehani, Vinod Yegneswaran, Thomas Pasquier
Publikováno v:
2022 IEEE International Conference on Cloud Engineering (IC2E).
Publikováno v:
Queue. 19:77-106
Several interfaces exist for querying provenance. Many are not flexible in allowing users to select a database type of their choice. Some provide query functionality in a data model that is different from the graph-oriented one that is natural for pr
Autor:
Jignesh M. Patel, Gabriela Ciocarlie, Dongyan Xu, Xiangyu Zhang, Ashish Gehani, Somesh Jha, Hassaan Irshad, Kyu Hyung Lee, Vinod Yegneswaran, Yonghwi Kwon
Publikováno v:
IEEE Transactions on Information Forensics and Security. 16:4363-4376
We present TRACE, a comprehensive provenance tracking system for scalable, real-time, enterprise-wide APT detection. TRACE uses static analysis to identify program unit structures and inter-unit dependences, such that the provenance of an output even
Autor:
Naga Nithin Manne, Shilvi Satpati, Tanu Malik, Amitabha Bagchi, Ashish Gehani, Amitabh Chaudhary
In scientific computing and data science disciplines, it is often necessary to share application workflows and repeat results. Current tools containerize application workflows, and share the resulting container for repeating results. These tools, due
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90a104275e3a6531d62229ccf4dc6fc8