Hybrid clouds integrate different cloud solutions. Its inherent complexity and short of standard urge for a careful analysis, systematizing and understanding of monitoring. In this context, this paper provides a deep insight into hybrid cloud monitoring. It proposes a layered monitoring model for hybrid clouds, identifying the multiple layers of monitoring, focusing on physical infrastructure layer, virtual infrastructure layer, network, application/service layer, while combining the perspectives of service providers and clients. This process involves the identification of relevant parameters and metrics for each layer. Due to its flexibiliity and intelligence, using Agent technology, an agent-based monitoring architecture is presented. It enables to eliminate the complexity among different cloud platforms.This study contributes to achieve a clearer and more efficient approach to hybrid cloud monitoring.
ZigBee is an emerging standard for the low cost, low power and low rate wireless networks and the ZigBee technology is well suited to a wide range of energy management and efficiency applications in areas such as building automation, industrial, medical and home automation. ZigBee is a version of AODV routing protocol, where the routes are discovered RREQ through the network by the source broadcasting and sending RREP back the destination, so make ZigBee routing efficient, we used AODV mesh topology methods to send and receive data from source to destination and vice versa. In this paper we present an improved version of ZigBee-AODV mesh network, which utilizes and divide the topology of network into one or more logical clusters and restricts the flooding of route request outside the cluster. ZigBee-AODV mesh network uses nodes of the same cluster to share routing information, which significantly reduces the route path discovery and created cluster formation to decrease the routing path. The proposed protocol has higher reliability and lower overhead than AODV.
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