Paper Info
Title
EVEREST+: run-time SLA violations prediction.
Abstract
Monitoring the preservation of QoS properties during the operation of service-based systems at run-time is an important verification measure for checking if the current service usage is compliant with agreed SLAs. Monitoring, however, does not always provide sufficient scope for taking control actions against violations as it only detects violations after they occur. In this paper we describe a model-based prediction framework, EVEREST+, for both QoS predictors development and execution. EVEREST+ was designed to provide a framework for developing in an easy and fast way QoS predictors only focusing on their prediction algorithms implementation without the need for caring about how to collect or retrieve historical data or how to infer models out of collected data. It also provides a run-time environment for executing QoS predictors and storing their predictions.
Year
DOI
Venue
2010
10.1145/1890912.1890915
MW4SOC
Keywords
Field
DocType
qos predictors development,run-time qos prediction,detects violation,run-time environment,prediction framework,run-time sla violations prediction,qos property,qos predictor,model-based prediction framework,prediction algorithms implementation,current service usage,control action,historical data
Service usage,Computer science,Quality of service,Prediction algorithms,Database
Conference
Citations 
PageRank 
References 
4
0.45
11
Authors
2
Name
Order
Citations
PageRank
davide lorenzoli12429.31
George Spanoudakis21057108.40