Service Evolution Patterns

Abstract

Abstract-Service evolution is the process of maintaining and evolving existing Web services to cater for new requirements and technological changes. In this paper, a service evolution model is proposed to analyze service dependencies, identify changes on services and estimate impact on consumers that will use new versions of these services. Based on the proposed service evolution model, four service evolution patterns are described: compatibility, transition, split-map, and mergemap. These proposed patterns provide reusable templates to encourage well-defined service evolution while minimizing issues that arise otherwise. They can be applied in the service evolution scenario where a single service is used by many, possibly unknown, consumers' applications. In such a scenario, providers evolve their services independently from consumers, which might cause unexpected errors and incur unpredicted impact on the dependent consumers' applications. Therefore, providers can use these patterns to estimate the impact that changes to be introduced to their services may cause on their consumers, and to allow consumers smoothly migrate to the newest version of the service.

Integration of Multiple Heterogeneous and Autonomous Web Services using Mediation Approach: Open Challenges

“…Changes to the web services API and their impact on the clients have been extensively studied in [51], [1], [2]. Depending on the chosen global-local schema mapping (e.g.…”

“…to write applications to integrate with every web service they use. Therefore a generic solution is required to integrate with these multiple heterogeneous and autonomous web services [1], [2]. Such a solution will enable them to have access to their historical data.…”

A Clustering Method for Isomorphic Evolution of Web Services

“…Similarly, an evolutionary adaptation mechanism was designed using genetic algorithms for agents to evolve their behaviors and improve their fitness values to the environment [13]. Wang et al proposed a service evolution model to analyze service dependencies, identify changes on services, and estimate impact on the users [14]. A framework of service evolution and reuse was designed by Schumm et al [15].…”

Service Co-evolution in the Internet of Things

“…S. Wang et al [20] focuses on a common evolution scenario where a single service, provided by a single provider, is used by many different and possibly unknown consumers, as is the case of most current Web services, such as Google Maps, eBay Trading, and Amazon E-Commerce. In the scenario of [20], the services usually face large and frequent changes as a result of an increasing need to conform to changing business and technological requirements [20]. In particular, the paper proposed four patterns involving compatibility, transition, splitmap, and merge-map.…”

“…Design patterns have been widely used for software development for structuring solutions [8,20]. S. Wang et al [20] focuses on a common evolution scenario where a single service, provided by a single provider, is used by many different and possibly unknown consumers, as is the case of most current Web services, such as Google Maps, eBay Trading, and Amazon E-Commerce.…”