Towards Platform Independent Database Modelling in Enterprise Systems

Ellison, Martyn; Călinescu, Radu; Paige, Richard F.

doi:10.1007/978-3-319-50230-4_4

Cited by 2 publications

(3 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These contributions significantly extend our preliminary results on database model extraction [11] in several ways. First, the new approach includes a database migration simulation stage (described in "Migration simulation stage" section) that was missing from [11]. Second, we provide an algorithm for our model transformation technique (in "Model refinement algorithm" section).…”

Section: Introductionsupporting

confidence: 68%

“…Second, we provide an algorithm for our model transformation technique (in "Model refinement algorithm" section). Third, we include a more detailed analysis of the SQL keyword survey results from [11] (in "SQL support" section). Fourth, we present new experimental results that evaluate the complete end-to-end approach by migrating real enterprise systems in the cloud (in "Migration" section).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluating cloud database migration options using workload models

2018

Self Cite

View full text Add to dashboard Cite

A key challenge in porting enterprise software systems to the cloud is the migration of their database. Choosing a cloud provider and service option (e.g., a database-as-a-service or a manually configured set of virtual machines) typically requires the estimation of the cost and migration duration for each considered option. Many organisations also require this information for budgeting and planning purposes. Existing cloud migration research focuses on the software components, and therefore does not address this need. We introduce a two-stage approach which accurately estimates the migration cost, migration duration and cloud running costs of relational databases. The first stage of our approach obtains workload and structure models of the database to be migrated from database logs and the database schema. The second stage performs a discrete-event simulation using these models to obtain the cost and duration estimates. We implemented software tools that automate both stages of our approach. An extensive evaluation compares the estimates from our approach against results from real-world cloud database migrations.

show abstract

Section: Introductionsupporting

confidence: 68%

Section: Introductionmentioning

confidence: 99%

Evaluating cloud database migration options using workload models

2018

Self Cite

View full text Add to dashboard Cite

show abstract

“…The OFBiz is a J2EE based ERP solution that contains framework components and business applications [41][42][43].…”

Section: Ejbca or Enterprise Java Beans Certificate Authoritymentioning

confidence: 99%

Detection of J2EE Patterns based on Customizable Features

Mushtaq¹,

Rasool²,

Shahzad³

2017

ijacsa

View full text Add to dashboard Cite

Abstract-Design patterns support extraction of design information for better program understanding, reusability and reengineering. With the advent of contemporary applications, the extraction of design information has become quite complex and challenging. These applications are multilingual in nature i.e. their design information is spread across various language components that are interlinked with each other. At present, no approach is available that is capable to extract design information of multilingual applications by using design patterns. This paper lays foundation for the analysis of multilingual source code for the detection of J2EE Patterns.

show abstract

Towards Platform Independent Database Modelling in Enterprise Systems

Cited by 2 publications

References 10 publications

Evaluating cloud database migration options using workload models

Evaluating cloud database migration options using workload models

Detection of J2EE Patterns based on Customizable Features

Contact Info

Product

Resources

About