As services for Big Data Analysis (BDA) become prevalent, analysis services with
intelligence and autonomy using automatic service composition (ASC) show bright …

Different from the traditional web services, the big data services' execution duration vary
from the input data volume, so the traditional Quality of Service (QoS) analysis model for …

In Software as a Service (SaaS) cloud marketplace, several functionally equivalent services
tend to be available with different Quality of Service (QoS) values. For processing end-users …

Service Composition is playing a pivotal role in diverse industries to approach more cost
effective solutions. Web service selection is playing a key role in the domain of the …

In order to address a fundamental issue of automated service composition, this paper
presents a novel approach for QoS-aware, optimal and automated service composition with …

Big Data contains massive information, which are generating from heterogeneous,
autonomous sources with distributed and anonymous platforms. Since, it raises extreme …

The explosion of digital data and the dependence on data-intensive services have been
recognized as the most significant characteristics of IT trends in the current decade …

Service-Oriented paradigm enables the composition of loosely coupled services provided
with varying nonfunctional properties in terms of Quality-of-Service (QoS). Given a …

To implement abstract business processes, elementary services are selected for each
abstract task. Because of uncertainties of Quality of Service (QoS) values during execution …

Multi-tenant service-based systems (SBSs) have become a major paradigm in software
engineering in the cloud environment. Instead of serving a single end-user, a multitenant …