Experimental Performance Evaluation of different Data Models for a Reflection Software Architecture over NoSQL Persistence Layers

The Reflection architectural pattern is an elegant reusable solution to design software applications based on a metamodel that provides a self-representation of the types used in the domain model. This provides significant benefits in terms of adaptability, maintainability, self-awareness, and direct involvement of domain experts in the configuration stage. However, while virtuous in the perspective of objectoriented development, the meta-model adds a level of indirection that may result in poor performance. The complexity is further exacerbated when the object-oriented domain model is mapped to a relational database. We identify four performance anti-patterns that may naturally occur in the design of a meta-modeling architecture, and for each of them we propose a refactoring intervention on the object model and on the database mapping strategy. Experimental results are reported to characterize the gain obtained applying the proposed refactoring techniques to a real case of data management system, in order to provide a roadmap for engineering the performance of meta-modeling architectures.

show abstract

“…At the same time we have an on-going experimentation to compare performances using no relational databases underlying the objects model [27].…”

Section: Discussionmentioning

confidence: 99%

Engineering the Performance of a Meta-modeling Architecture

Fioravanti

Patara

Vicario

2017

Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion

Self Cite

View full text Add to dashboard Cite

show abstract

“…More works is needed to evaluate as proposed and new anti-patterns may affect other functional and non-functional system requirements (e.g., reliability, maintainability), in order to guarantee both the consistency and the right tradeoffs among these properties. At the same time we have an on-going experimentation to compare performances using no relational databases underlying the objects model [27].…”

Section: Discussionmentioning

confidence: 99%

Performance Assessment of High-availability Systems using Markov Chains

Avritzer¹

2017

Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion

View full text Add to dashboard Cite

show abstract

“…The correctness of operations in the analysis and construction of the semantics of the database is determined by the assumption that each representation of a domain element and a set of requirements are complete and consistent [11][12][13]. This means that all objects are defined and that no additional detail is required within the views.…”

Section: Research and Development Of A Model For Integrating Subject Areas Of Information Systemsmentioning

confidence: 99%

Model of Semantic Integration of Information Systems Properties in Relay Database Reengineering Problems

Аврунін

Власов

Філатов

2020

Innovative Technologies and Scientific Solutions for Industries

View full text Add to dashboard Cite

The subject of research is methods of semantic integration of subject areas of heterogeneous information systems and distributed databases. This class of systems are created on the basis of database technologies, are widespread and used in all areas of economic activity. Such systems are characterized by high complexity of design, maintenance and modification. The purpose of the research is the development of a subject area model based on the semantic properties and relationships of data elements; development of effective technology of integration of information resources of heterogeneous computer systems on the basis of technology of management of database systems; research and formalization of classes of inhomogeneity of data structures aimed at solving the problem of determining the types of information objects. Development of tools for the design and maintenance of application problems for the integration of heterogeneous information systems and distributed databases. Results: the analysis of existing methods and models of integration of subject areas on the basis of semantic properties and connections of data elements is carried out; developed an effective mathematical model, technology and algorithm for semantic integration of information resources of heterogeneous computer systems for relational databases; investigated and formalized classes of inhomogeneity of data structures aimed at solving the problem of determining the types of information objects; the model is developed and means of the logical description of properties of information objects for definition of border of the considered subject area are investigated. Conclusion: the article considers a formalized infographic model of the subject area, which focuses on the semantic relationships between information objects of databases. An axiomatic approach to the description of the subject area is formulated, which allows to consider the problem of modeling the relations of the elements of the subject area in the form of a set of rules that determine the existence of data elements. On the basis of the analysis of structures and models of databases of information systems the general approach to construction of the universal technology focused on the decision of problems of management of heterogeneous information resources of computer systems is defined.

show abstract

Experimental Performance Evaluation of different Data Models for a Reflection Software Architecture over NoSQL Persistence Layers

Cited by 4 publications

References 21 publications

Engineering the Performance of a Meta-modeling Architecture

Engineering the Performance of a Meta-modeling Architecture

Performance Assessment of High-availability Systems using Markov Chains

Model of Semantic Integration of Information Systems Properties in Relay Database Reengineering Problems

Contact Info

Product

Resources

About