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This paper introduces a novel interval scheduling and congestion control scheme in wireless sensor networks. Wireless sensor network is an event based system with several sensor nodes. Reliable event detection at the sink is based on collective information provided by sensor nodes. But due to the unreliable nature of wireless communication, it is hard to guarantee the end-to-end reliability and timeliness. Hence, we propose a novel dynamic congestion control scheme that ensures the reliable delivery of packets to a base station, and that minimizes congestion within sensor network. This solution includes a congestion control component that serves the purpose of minimizing congestion by burst traffic, data concentration, and link failure. And to achieve energy efficiency, reliability, and timeliness, we introduce the concept of dynamic interval scheduling algorithm that optimizes the data delivery ratio and energy usage for communication.

In recent years, Cloud computing is gaining much popularity as it can efficiently utilize the computing resources and hence can contribute to the issue of Green IT to save energy. So to make the Cloud services commercialized, Cloud markets are necessary and are being developed. As the increasing numbers of various Cloud services are rapidly evolving in the Cloud market, how to select the best and optimal services will be a great challenge. In this paper we present a Cloud service selection framework in the Cloud market that uses a recommender system (RS) which helps a user to select the best services from different Cloud providers (CP) that matches user requirements. The RS recommends a service based on the network QoS and Virtual Machine (VM) platform factors of difference CPs. The experimental results show that our Cloud service recommender system (CSRS) can effectively recommend a good combination of Cloud services to consumers.