Amber

Kumar, Avinash; Wang, Zuozhi; Ni, Shengquan; Li, Chen

doi:10.14778/3377369.3377381

Cited by 15 publications

(1 citation statement)

References 23 publications

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“…In the case of runtime debugging, Amber [77] is a Data platform that enables several debugging functionalities such as pauses during the program execution or conditional breakpoints, among others. Amber is based on the Actor model instead of the MapReduce processing model but achieves similar performance to Spark.…”

Section: Related Workmentioning

confidence: 99%

Automatic Debugging of Design Faults in MapReduce Applications

Morán,

Bertolino,

de la Riva

et al. 2024

IIEEE Trans. Software Eng.

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Among the current technologies to analyse large data, the MapReduce processing model stands out in Big Data. MapReduce is implemented in frameworks such as Hadoop, Spark or Flink that are able to manage the program executions according to the resources available at runtime. The developer should design the program in order to support all possible nondeterministic executions. However, the program may fail due to a design fault. Debugging these kinds of faults is difficult because the data are executed non-deterministically in parallel and the fault is not caused directly by the code, but by its design. This paper presents a framework called MRDebug which includes two debugging techniques focused on the MapReduce design faults. A spectrum-based fault localization technique locates the root cause of these faults analysing several executions of the test case, and a Delta Debugging technique isolates the data relevant to trigger the failure. An empirical evaluation with 13 programs shows that MRDebug is effective in debugging the faults, especially when the localization is done with the reduced data. In summary, MRDebug automatically provides valuable information to understand MapReduce design faults as it helps locate their root cause and obtains a minimal data that triggers the failure.

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Section: Related Workmentioning

confidence: 99%

Automatic Debugging of Design Faults in MapReduce Applications

Morán,

Bertolino,

de la Riva

et al. 2024

IIEEE Trans. Software Eng.

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A survey on transactional stream processing

Zhang,

Soto,

Markl

2023

The VLDB Journal

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Transactional stream processing (TSP) strives to create a cohesive model that merges the advantages of both transactional and stream-oriented guarantees. Over the past decade, numerous endeavors have contributed to the evolution of TSP solutions, uncovering similarities and distinctions among them. Despite these advances, a universally accepted standard approach for integrating transactional functionality with stream processing remains to be established. Existing TSP solutions predominantly concentrate on specific application characteristics and involve complex design trade-offs. This survey intends to introduce TSP and present our perspective on its future progression. Our primary goals are twofold: to provide insights into the diverse TSP requirements and methodologies, and to inspire the design and development of groundbreaking TSP systems.

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Identification of the process of hydromechanical extraction of amber

et al. 2020

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The article deals with the method of hydromechanical extraction of amber from sand deposits. The essence of hydromechanical method of amber extraction is considered. The process of extraction has been identified. The analytical expressions obtained for calculating the parameters of hydromechanical extraction of amber from sand deposits, and in particular the expression for determining the rate of emergence of an amber particle, can be used in the further engineering calculations of process parameters and process equipment. These expressions will allow to accurately substitute and with sufficient accuracy to calculate the parameters of the process of extracting amber from amber-containing deposits, as well as to set the parameters of technological equipment for the implementation of this process. MethodsThe northern regions of the Rivne region are characterized mainly by the occurrence of amber in sandy soils, characterized by water and air pores present

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Amber

Cited by 15 publications

References 23 publications

Automatic Debugging of Design Faults in MapReduce Applications

Automatic Debugging of Design Faults in MapReduce Applications

A survey on transactional stream processing

Identification of the process of hydromechanical extraction of amber

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