Migrating enterprise applications to the cloud: methodology and evaluation

Strauch, Steve; Andrikopoulos, Vasilios; Karastoyanova, Dimka; Leymann, Frank; Nachev, Nikolay; Stäbler, A.

doi:10.1504/ijbdi.2014.066319

Cited by 18 publications

(13 citation statements)

References 17 publications

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“…Although we already achieved some promising results regarding some single aspects of our approach [1] [21], an evaluation of an overall end to end scenario is still missing.…”

Section: Discussionmentioning

confidence: 99%

Service Selection for On-Demand Provisioned Services

Vukojevic-Haupt

Haupt

Karastoyanova

et al. 2014

2014 IEEE 18th International Enterprise Distributed Object Computing Conference

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Abstract-Service selection is an important concept in service oriented architectures that enables the dynamic binding of services based on functional and non-functional requirements. The introduction of the concept of on-demand provisioned services significantly changes the nature of services and as a consequence the traditional service selection process does not fit anymore. Existing approaches for service selection rely on the always on semantic of services, an assumption that is not valid for on-demand provisioned services. We tackle this problem by adapting the traditional service selection process and by defining an additional step covering the changes introduced by the concept of on-demand provisioning. Our solution comprises an extended architecture for on-demand provisioning, a metamodel for a service registry, and a detailed definition and discussion of the adapted and extended service selection process. The work presented in this paper allows keeping the advantages of dynamic service binding at runtime and combining them with the advantages of Cloud computing exploited through the concept of on-demand provisioning.

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“…Although we already achieved some promising results regarding some single aspects of our approach [1] [21], an evaluation of an overall end to end scenario is still missing.…”

Section: Discussionmentioning

confidence: 99%

Service Selection for On-Demand Provisioned Services

Vukojevic-Haupt

Haupt

Karastoyanova

et al. 2014

2014 IEEE 18th International Enterprise Distributed Object Computing Conference

Self Cite

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“…The dissimilarities of storage models between commercial clouds have also been discussed, which assist to identify the potential issues may appear during the migration between cloud storages. Strauch, S., et al [20] introduced a methodology to move applications to cloud. Their methodology considers some significant aspects, such as differences in the granularity of interactions and data confidentiality.…”

Section: Review Of Related Workmentioning

confidence: 99%

Databases in Cloud Computing: A Literature Review

Bhatti¹,

Rad²

2017

IJITCS

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Abstract-InformationTechnology industry has been using the traditional relational databases for about 40 years. However, in the most recent years, there was a substantial conversion in the IT industry in terms of commercial applications. Stand-alone applications have been replaced with electronic applications, committed servers with various appropriate servers and devoted storage with system storage. Lower fee, flexibility, the model of pay-as-you-go are the main reasons, which caused the distributed computing are turned into reality. This is one of the most significant revolutions in Information Technology, after the emergence of the Internet. Cloud databases, Big Table, Sherpa, and SimpleDB are getting to be more familiar to communities. They highlighted the obstacles of current social databases in terms of usability, flexibility, and provisioning. Cloud databases are essentially employed for informationescalated applications, such as storage and mining of huge data or commercial data. These applications are flexible and multipurpose in nature. Numerous valuebased information administration applications, like banking, online reservation, e-trade and inventory administration, etc. are produced. Databases with the support of these types of applications have to include four important features: Atomicity, Consistency, Isolation, and Durability (ACID), although employing these databases is not simple for using in the cloud. The goal of this paper is to find out the advantages and disadvantages of databases widely employed in cloud systems and to review the challenges in developing cloud databases.

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“…This was initially inspired by the study introduced in (S. Strauch, 2014) and (La and Kim, 2009) that proposed a small set functional and non-functional properties that should be addressed by an ideal cloud migration methodology. These studies, however, were not complete and well-articulated; nor enough attention was paid to domain-independence, validation, and generality.…”

Section: Evaluation Frameworkmentioning

confidence: 99%