“…We recorded existing cloud design and architecture patterns [4] [6]. A major role in this process played a SLR on cloud migration [1]. We detected shortcomings associated with these design patterns when we applied them in migration planning.…”
Section: Methodsmentioning
confidence: 99%
“…Cloud migration [1] benefits from the cloud promise of converting capital expenditure to operational cost [2]. Mixing cloud architecture with private data centers adds operational efficiency for workload bursts while legacy systems [3] on-premise still support core business services.…”
Section: Introductionmentioning
confidence: 99%
“…Current migration solutions are coarse-grained, making detailed planning difficult. For these cloud migration processes [1], a migration plan as a verifiable artefact is not considered. The plan is prepared at either a very broad strategic level with no technical value or very thorough and technical not suitable for non-technical stakeholders.…”
Section: Introductionmentioning
confidence: 99%
“…We report on 9 fined-grained core and 6 variant cloud-specific architecture migration patterns, extracted based on empirical evidence from a number of migration projects [5], best practice for cloud architectures [4], [6] and a systematic literature review [1]. Our main contribution is a set of fine-grained service-oriented migration fragments that allows application developers and architects to plan the migration and communicate the plan and the decision with non-technical stakeholders.…”
Section: Introductionmentioning
confidence: 99%
“…To account for the situational context of applications, e.g., security, performance, availability needs, existing approaches [1] suggest a trade-off between flexibility and ease of migration using a fixed set of migration strategies. We propose an assembly-based approach based on our experience in situational method engineering [8] where a method is constructed from reusable method fragments and chunks [9].…”
Abstract. Many organizations migrate their on-premise software systems to the cloud. However, current coarse-grained cloud migration solutions have made a transparent migration of on-premise applications to the cloud a difficult, sometimes trial-and-error based endeavor. This paper suggests a catalogue of fine-grained service-based cloud architecture migration patterns that target multi-cloud settings and are specified with architectural notations. The proposed migration patterns are based on empirical evidence from a number of migration projects, best practices for cloud architectures and a systematic literature review of existing research. The pattern catalogue allows an organization to (1) select appropriate architecture migration patterns based on their objectives, (2) compose them to define a migration plan, and (3) extend them based on the identification of new patterns in new contexts.
“…We recorded existing cloud design and architecture patterns [4] [6]. A major role in this process played a SLR on cloud migration [1]. We detected shortcomings associated with these design patterns when we applied them in migration planning.…”
Section: Methodsmentioning
confidence: 99%
“…Cloud migration [1] benefits from the cloud promise of converting capital expenditure to operational cost [2]. Mixing cloud architecture with private data centers adds operational efficiency for workload bursts while legacy systems [3] on-premise still support core business services.…”
Section: Introductionmentioning
confidence: 99%
“…Current migration solutions are coarse-grained, making detailed planning difficult. For these cloud migration processes [1], a migration plan as a verifiable artefact is not considered. The plan is prepared at either a very broad strategic level with no technical value or very thorough and technical not suitable for non-technical stakeholders.…”
Section: Introductionmentioning
confidence: 99%
“…We report on 9 fined-grained core and 6 variant cloud-specific architecture migration patterns, extracted based on empirical evidence from a number of migration projects [5], best practice for cloud architectures [4], [6] and a systematic literature review [1]. Our main contribution is a set of fine-grained service-oriented migration fragments that allows application developers and architects to plan the migration and communicate the plan and the decision with non-technical stakeholders.…”
Section: Introductionmentioning
confidence: 99%
“…To account for the situational context of applications, e.g., security, performance, availability needs, existing approaches [1] suggest a trade-off between flexibility and ease of migration using a fixed set of migration strategies. We propose an assembly-based approach based on our experience in situational method engineering [8] where a method is constructed from reusable method fragments and chunks [9].…”
Abstract. Many organizations migrate their on-premise software systems to the cloud. However, current coarse-grained cloud migration solutions have made a transparent migration of on-premise applications to the cloud a difficult, sometimes trial-and-error based endeavor. This paper suggests a catalogue of fine-grained service-based cloud architecture migration patterns that target multi-cloud settings and are specified with architectural notations. The proposed migration patterns are based on empirical evidence from a number of migration projects, best practices for cloud architectures and a systematic literature review of existing research. The pattern catalogue allows an organization to (1) select appropriate architecture migration patterns based on their objectives, (2) compose them to define a migration plan, and (3) extend them based on the identification of new patterns in new contexts.
Summary
Today, service composition is emerging paradigm on the communication networks such as cloud environments, internet of things, wireless sensor network, and software‐defined network. The goal of service composition method is to provide the interactions between user requirements and smart objects of intelligent communication systems. There have been many efforts to use formal verification and behavioral modeling methods to evaluate the service composition mechanisms. Up to now, there is not a comprehensive analysis research on this topic. Therefore, this paper focuses on several formal verification approaches that are performed to confirm the service composition correctness in communication networks. The objective of this paper is to comprehensively categorize and examine current research techniques on formal verification of the service composition. This research analysis provides an overview of recent service composition approaches according to structural and functional properties. Comparison results show that most of the verification approaches in explanation of the service composition correctness are semantic‐aware approach with 43%. The most used verification method for the service composition is model checking with 69%. The process algebra is used 29%, and some theorem proving methods are applied in 9% of the investigated mechanism. Moreover, most widely used modeling tools are NuSMV (22%), SPIN (17%), CPN (12%), UPPAAL (12%), Event‐B (10%), and PAT (5%).
SummaryService‐oriented architecture (SOA) has a crucial role in backing productive cloud services. Also, the vast spread of the theoretical notion of diverse businesses (like e‐commerce) into the actual use has been recently applied by cloud computing. The service functionality could be affected by overfilling of the network traffic because of the broadly dispersed nature of e‐commerce in clouds—a key challenge for immediate jobs. Throughout the last decade, a vast range of applications or large‐scale operators has increasingly attracted to migrate the services in clouds. An effective method for accessing the applications throughout standard business hours is continually moving virtual machine containers from one data center to another. Now, with the commonness of cloud computing, many applications have been moved to the cloud fully/partly. It can be handled through the migration of cloud services to diverse platforms in a way that minimizes the communication cost of e‐commerce. As this issue has an NP‐hard nature, in the present article, we present an automatic smart service migration outline through the ant colony optimization (ACO) algorithm on cloud‐oriented e‐commerce. In the presented model, we use the ACO algorithm to take the finest (near‐optimal) service migration decisions. Based on the obtained results, the proposed technique has the optimal number of migrations compared to the existing models.
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