Dynamically Compiled Artifact Sharing for Clouds

Patros, Panagiotis; Dilli, Dayal; Kent, Kenneth B.; Dawson, Michael

doi:10.1109/cluster.2017.9

Search citation statements

Order By: Relevance

Paper Sections

Select...

Verdict Limitations and Future Work1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2018

2021

Publication Types

Select...

Other2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

(1 citation statement)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Apart from that we will gain implementation flexibility and thus enabling us to better optimise the process. For example by implementing a cache [30] or scheduling requests to be sent out efficiently [31].…”

Section: Verdict Limitations and Future Workmentioning

confidence: 99%

Towards Embedding Data Provenance in Files

Phua

Patros

Kumar

2021

2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC)

View full text Add to dashboard Cite

Data provenance (keeping track of who did what, where, when and how) boasts of various attractive use cases for distributed systems, such as intrusion detection, forensic analysis and secure information dependability. This potential, however, can only be realized if provenance is accessible by its primary stakeholders: the end-users. Existing provenance systems are designed in a 'all-or-nothing' fashion, making provenance inaccessible, difficult to extract and crucially, not controlled by its key stakeholders. To mitigate this, we propose that provenance be separated into system, data-specific and file-metadata provenance. Furthermore, we expand data-specific provenance as changes at a fine-grain level, or provenance-perchange, that is recorded alongside its source. We show that with the use of delta-encoding, provenance-per-change is viable, asserting our proposed architecture to be effectively realizable.

show abstract

Section: Verdict Limitations and Future Workmentioning

confidence: 99%