A QoS-based Self-adaptive Framework for OpenAPI

摘要: In Web2.0, OpenAPIs (such as Google Map, Flickr and Amazon S3) are considered to be among the most important vital building blocks for mashups that combine data services provided by third parties through OpenAPIs, well internal sources owned users aggregate user values promote innovation. But a growing number of available on Internet, developer faces challenge dynamic complexity in finding integrating right set OpenAPIs. this paper, we propose framework address problem self-adaption Internet-scale mashups. First, design repository storing with Multi-granularity then introduce QoS metrics measuring potential impact OpenAPI properties. We further encapsulate different whose functionality is synonymous, but providers, communication protocols, formats parameters. Ultimately, provide ranking-style algorithm exploiting encapsulated interface characteristics dynamically select runtime. short, QoS-based mashup platform can facilitate construction improve users' experience. The process transparent automatic users'. Experimental evaluation demonstrates effectiveness our approach.