Research on Data Persistence Layer Based on Hibernate Framework

Wu, Qinglin; Hu, Yanzhong; Wang, Yan

doi:10.1109/iwisa.2010.5473662

Cited by 6 publications

(4 citation statements)

References 4 publications

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“…As already discussed in Section 4.4, to maximally ensure comparability of our results, we disabled these mechanisms in our benchmarks. In the case of Object-Relational Mappers (ORMs), the impact of performance optimizations has already been studied [28,29]. A similar study can prove useful for ONDMs and should be considered future work.…”

Section: External Validitymentioning

confidence: 99%

Object-NoSQL Database Mappers: a benchmark study on the performance overhead

Reniers

Rafique

Landuyt

et al. 2017

J Internet Serv Appl

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In recent years, the hegemony of traditional relational database management systems (RDBMSs) has declined in favour of non-relational databases (NoSQL). These database technologies are better adapted to meet the requirements of large-scale (web) infrastructures handling Big Data by providing elastic and horizontal scalability. Each NoSQL technology however is suited for specific use cases and data models. As a consequence, NoSQL adopters are faced with tremendous heterogeneity in terms of data models, database capabilities and application programming interfaces (APIs). Opting for a specific NoSQL database poses the immediate problem of vendor or technology lock-in. A solution has been proposed in the shape of Object-NoSQL Database Mappers (ONDMs), which provide a uniform abstraction interface for different NoSQL technologies. Such ONDMs however come at a cost of increased performance overhead, which may have a significant economic impact, especially in large distributed setups involving massive volumes of data. In this paper, we present a benchmark study quantifying and comparing the performance overhead introduced by Object-NoSQL Database Mappers, for create, read, update and search operations. Our benchmarks involve five of the most promising and industry-ready ONDMs: Impetus Kundera, Apache Gora, EclipseLink, DataNucleus and Hibernate OGM, and are executed both on a single node and a 9-node cluster setup. Our main findings are summarised as follows: (i) the introduced overhead is substantial for database operations in-memory, however on-disk operations and high network latency result in a negligible overhead, (ii) we found fundamental mismatches between standardised ONDM APIs and the technical capabilities of the NoSQL database, (iii) search performance overhead increases linearly with the number of results, (iv) DataNucleus and Hibernate OGM's search overhead is exceptionally high in comparison to the other ONDMs.

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Section: External Validitymentioning

confidence: 99%

Object-NoSQL Database Mappers: a benchmark study on the performance overhead

Reniers

Rafique

Landuyt

et al. 2017

J Internet Serv Appl

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“…Currently, the performance of Hibernate Framework is measured by the query time [7], [11]. The researchers Wu, Hu, and Wang [11] studied on the impacts which influences the application performance.…”

Section: B Performance Of Hibernate Frameworkmentioning

confidence: 99%

“…The researchers Wu, Hu, and Wang [11] studied on the impacts which influences the application performance. The significant impacts are separated into 3 groups, which are Cache Technology, Connection Pool Technology and Session Management Mechanism.…”

Section: B Performance Of Hibernate Frameworkmentioning

confidence: 99%

The Hibernate Framework Query Mechanisms Comparison

Surapunt¹,

Doungsa-ard²

2014

LNSE

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Abstract-The Hibernate Framework is an Object/RelationalMapping technique which can handle the data for database applications with the nobject oriented program. There is metadata to describe mapping relationships of persistence objects and database entities. The developers' responsibilities take care only how programs work. Then the execution time of querying the data does not distinguish while the program is working. Therefore, the execution time of querying the data effects to overall execution time of the program. So, the author concerns about the application performance when queries the data. From the study, the execution time of querying the data is appropriate with difference query mechanisms and data environment. Not only the selected approach affects to the execution time, but other impact factors are also related. The factors consist of a number of data in the database, condition in the command and the number of records set. So, the author focuses on the testing query mechanism of a difference environment and conditions. Index Terms-Hibernate framework, query mechanisms, performance query testing.

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“…Currently, this kind of problems can be addressed with heuristic search algorithm [5], but the disadvantage is that the algorithm cannot assure the answer is the best one. As the scale of aircraft allocation is small, a simple aircraft allocation algorithm was proposed in this paper, which can get the best answer within the n2 time complexity [6][7]. And the flowchart of aircraft allocation algorithm is as follows: Figure 1.…”

Section: Aircraft Allocation Algorithmmentioning

confidence: 99%

Research on the Algorithm of Aviation Emergency Rescue under Major Disasters

Zheng

Pan

2012

AMM

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The reason of inefficient of current aviation emergency rescue was analyzed in this paper, and the establishment of a three layers of emergency rescue system with the background of civil aviation management system was proposed, under which the aircraft allocation algorithm between rescue center and disaster was studied, and also the course design algorithm and aircraft flight algorithm. These algorithms can improve the efficiency and safety of aviation rescue greatly, which laid a significant basis for the establishment of the emergency rescue plans under major disasters.

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Research on Data Persistence Layer Based on Hibernate Framework

Cited by 6 publications

References 4 publications

Object-NoSQL Database Mappers: a benchmark study on the performance overhead

Object-NoSQL Database Mappers: a benchmark study on the performance overhead

The Hibernate Framework Query Mechanisms Comparison

Research on the Algorithm of Aviation Emergency Rescue under Major Disasters

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