In research, time series-based (time-aware) QoS modeling and forecasting for Web services
(WSs) has been studied for over a decade, and a large number of research papers have …

The workload estimation plays a vital role in efficient management of cloud resources. This
paper introduces the error preventive score (EPS) in time series forecasting models to …

The resource scaling has been influential in enabling the cloud service providers to
provision the resources on-demand effectively. The prior estimation of workloads helps in …

The problem of time-aware (time series-based) dynamic quality of service (QoS) forecasting
has attracted increased attention over the past decade. Developed forecasting approaches …

Currently, statistical time-series methods have primarily been employed to predict time-
aware dynamic quality of service (QoS) attributes for Web services. In this paper, we …

Due to stochasticity and uncertainty of malicious Web services over the Internet, it becomes
difficult to select reliable services while meeting non-functional requirements in service …

Quality of service (QoS) time series forecasting for web services (WSs) has been studied for
over a decade. In recent years, this problem has been investigated in its multistep-ahead …

The quality-of-service for web mapping depends on accurate service-time predictions when
balancing cloud computing resources to ensure improved allocation, but the service-time on …

Given the rise in demand for cloud computing in the modern era, the effectiveness of
resource utilization is eminent to decrease energy footprint and achieve economic services …

In the popularity of the Internet, users can find a variety of services on the Internet to meet
their needs; but whether the stability of software service is a problem for users. Similarly …