Titlebook: Service-Oriented Computing; 13th International C Alistair Barros,Daniela Grigori,Hoa Khanh Dam Conference proceedings 2015 Springer-Verlag

ostracize

Runtime Model-Based Privacy Checks of Big Data Cloud Servicese case of big data analytics, data privacy concerns become more critical and challenging to address. In particular, data may only be processed at certain geo-locations. However, the actual geo-locations of the many storage and compute nodes involved in big data processing is dynamically selected dur

撤退

Optimizing Workload Category for Adaptive Workload Prediction in Service Clouds methods use a single prediction model to predict workloads. However, they cannot get satisfactory prediction performance due to varying workload patterns in service clouds. In this paper, we propose a novel prediction approach, which categorizes the workloads and assigns different prediction models

不妥協(xié)

微生物

Supporting Cloud Service Operation Management for Elasticityrious dependent infrastructures and services, imply a need for continuous adaptation. Although software-based elasticity control solutions can automate various decisions through intelligent decision-making processes, in many cases, such adaptation requires interactions among different cloud service

Incumbent

rSLA: Monitoring SLAs in Dynamic Service Environmentsck development and delivery of solutions to their intended users. The ability to use Cloud platforms to stand up applications in a short time frame, the wide availability of Web services, and the application of a continuous deployment model has led to very dynamic application environments. In those

著名

植物群

Are RESTful APIs Well-Designed? Detection of their Linguistic (Anti)Patternsndability and reusability are two important characteristics of software quality. REST (REpresentational State Transfer) style is becoming a . standard adopted by many software organisations. The use of proper lexicon in RESTful APIs might make them easier to understand and reuse by client developers

hazard

Aggregating Functionality, Use History, and Popularity of APIs to Recommend Mashup Creationresources. One of the key hindrance faced by mashup creation is to discover relevant APIs, especially due to the recent fast growth of Web APIs and the brief, unstructured API descriptions. In this paper, we propose a novel approach that recommends APIs to create a mashup given a free-form text desc

輕浮思想

Integrating Gaussian Process with Reinforcement Learning for Adaptive Service Compositionowever, the frequent changes in the internal and external environment demand adaptiveness of a composition solution. Meanwhile, the increasingly complex user requirements and the rapid growth of the composition space give rise to the scalability issue. To address these key challenges, we propose a n

深淵

Scalable SaaS-Based Process Customization with ,rocesses. However, these disparate services do not in general communicate with each other, rather used in an ad-hoc manner with little or no customizable process support. This inevitably leads to “shadow processes”, often only informally managed by e-mail or the like. In this paper, we propose a fra