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Clustering data streams has drawn lots of attention in the last few years due to their ever-growing presence. Data streams put additional challenges on clustering such as limited time and memory and one pass clustering. Furthermore, discovering clusters with arbitrary shapes is very important in data stream applications. Data streams are infinite and(More)
—Approaches to Web services discovery, matchmak-ing, composition, and execution monitoring need a collection of descriptions of test services. Semantic Web services help attain better accuracy in these approaches by clarifying service descriptions. In the semantic Web service research area, there are some test collections. These test collections have some(More)
— Semantic Web services evolved from traditional computational services by semantic descriptions. Recently, there have been many research efforts in the field of semantic Web services, which reveals enormous potential for Service-Oriented Architecture to be promoted to an improved architecture. However, world-altering services have been largely disregarded(More)
Composite Web services are self-evidently failure-prone. A recovery process is required to survive the execution flow. We propose a method to recover a composite service from a failure. The method replaces a subdigraph of a composite service with its semantically similar one. Our work is motivated by a marked trade-off of multiple needs, i.e. to increase(More)
Data streams are continuously generated over time from Internet of Things (IoT) devices. The faster all of this data is analyzed, its hidden trends and patterns discovered, and new strategies created, the faster action can be taken, creating greater value for organizations. Density-based method is a prominent class in clustering data streams. It has the(More)
Web services are building blocks of interoperable systems. Composing Web services makes the processes capable of doing complex tasks. Composite services may fail during their execution which can be diagnosed by a mediator. The mediator adapts the structure so that the failure is recovered. Moreover, future executions should avoid the situation or organize a(More)
Density-based clustering can detect arbitrary shape clusters, handle outliers and do not need the number of clusters in advance. However, they cannot work properly in multi density environments. The existing multi density clustering algorithms have some problems in order to be applicable for data streams such as the need of whole data to perform clustering,(More)
Density-based method has emerged as a worthwhile class for clustering data streams. Recently, a number of density-based algorithms have been developed for clustering data streams. However, existing density-based data stream clustering algorithms are not without problem. There is a dramatic decrease in the quality of clustering when there is a range in(More)
Web processes are made up of services as their units of functionality. The services are represented as a graph and compose a synergy of service. The composite service is prone to failure due to various causes. However, the end-user should receive a smooth and non-interrupted execution. Atomic replacement of a failed Web service to recover the system is a(More)