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An Internet of Things (IoT) are ‘things’ that com-municate in different networks. An IoT gateway which provides device connectivity and protocol translation is often expensive in case of small scale academic projects. In view of this, an Emulated IoT gateway is proposed that emulates the IoT gateway using a local computer in a cost effective way. The sensor data sent from sensor nodes connected in cellular network (GPRS), WiFi, RF, Bluetooth or in LAN using Ethernet are collected and successfully processed in cloud server.

Accurate prediction of resources is a cliallenging problem in any environment. Effective provisioning of resources for on-premise applications with varied performance requirements requires an accurate prediction of resources. Towards this objective, a prediction model, namely. Multilayer Perceptron has been proposed in this work. The prediction model is trained using a dataset generated from TPC-W benchmark based online application and tested for new requirements. Its prediction accuracy has been compared with that of two other prediction models such as Linear Regression and Support Vector Regression. The Multilayer perceptron model is found to exhibit a better accuracy of 91.8 percentage.

Service orientation is gaining momentum in distributed software applications, mainly because it facilitates interoperability. Service composition has been acknowledged as a promising approach to meet the user demands, whenever a single service cannot fulfill the needs. It is essential to ensure the reliability of the composed service, as the component services are offered by multiple providers from different organizations. The behavioral or transactional properties of component services determine the reliability of the composite service. The guaranteed values on transactional properties of every service must be recorded in a contract as agreed by a consumer and a provider, in order to avoid unpredictable performance in service provisioning. The approach proposed in this paper enables generation of contracts at runtime along with transactional guarantees, based on the frequently changing business requirements of service consumers. The approach is experimented with a case study of Scan Report Generation in healthcare domain.