A comprehensive view of Hadoop research—A systematic literature review
Context: In recent years, the valuable knowledge that can be retrieved from petabyte scale
datasets–known as Big Data–led to the development of solutions to process information …
datasets–known as Big Data–led to the development of solutions to process information …
Tactical provenance analysis for endpoint detection and response systems
Endpoint Detection and Response (EDR) tools provide visibility into sophisticated intrusions
by matching system events against known adversarial behaviors. However, current solutions …
by matching system events against known adversarial behaviors. However, current solutions …
A survey on provenance: What for? What form? What from?
M Herschel, R Diestelkämper, H Ben Lahmar - The VLDB Journal, 2017 - Springer
Provenance refers to any information describing the production process of an end product,
which can be anything from a piece of digital data to a physical object. While this survey …
which can be anything from a piece of digital data to a physical object. While this survey …
Big data semantics
Big Data technology has discarded traditional data modeling approaches as no longer
applicable to distributed data processing. It is, however, largely recognized that Big Data …
applicable to distributed data processing. It is, however, largely recognized that Big Data …
Big data provenance: Challenges and implications for benchmarking
B Glavic - Workshop on Big Data Benchmarks, 2012 - Springer
Data Provenance is information about the origin and creation process of data. Such
information is useful for debugging data and transformations, auditing, evaluating the quality …
information is useful for debugging data and transformations, auditing, evaluating the quality …
The good, the bad, and the differences: Better network diagnostics with differential provenance
In this paper, we propose a new approach to diagnosing problems in complex distributed
systems. Our approach is based on the insight that many of the trickiest problems are …
systems. Our approach is based on the insight that many of the trickiest problems are …
Diagnosing missing events in distributed systems with negative provenance
When debugging a distributed system, it is sometimes necessary to explain the absence of
an event-for instance, why a certain route is not available, or why a certain packet did not …
an event-for instance, why a certain route is not available, or why a certain packet did not …
PrintQueue: performance diagnosis via queue measurement in the data plane
When diagnosing performance anomalies, it is often useful to reason about why a packet
experienced the queuing that it did. To that end, we observe that queuing is both a result of …
experienced the queuing that it did. To that end, we observe that queuing is both a result of …
Zeno: Diagnosing performance problems with temporal provenance
When diagnosing a problem in a distributed system, it is sometimes necessary to explain the
timing of an event—for instance, why a response has been delayed, or why the network …
timing of an event—for instance, why a response has been delayed, or why the network …
Object-based data flow testing of web applications
CH Liu, DC Kung, P Hsia - Proceedings First Asia-Pacific …, 2000 - ieeexplore.ieee.org
Recently, the extraordinary growth in the World Wide Web has been sweeping through
business and industry. Many companies have developed or integrated their mission-critical …
business and industry. Many companies have developed or integrated their mission-critical …