Since its appearance, peer-to-peer technology has given raise to various multimedia streaming applications. Today, cloud computing offers different service models as a base for successful end user applications. In this paper we propose joining peer-to-peer and cloud computing into new architectural realization of a distributed cloud computing network for multimedia streaming, in a both centralized and peer-to-peer distributed manner. This architecture merges prívate and public clouds and it is intended for a commercial use, but in the same time scalable to offer the possibility of non-profitable use. In order to take advantage of the cloud paradigm and make multimedia streaming more efñcient, we introduce APIs in the cloud, containing buildin functions for automatic QoS calculation, which permits negotiating QoS parameters such as bandwidth, jitter and latency, among a cloud service provider and its potential clients.

In this paper, we present an analysis of the different database systems for storing the information gather by a wireless sensor network. In this work we present different test scenarios in order to evaluate the Fetch Time and the use of Mebibyte in Relational (MySQL, PostgreSQL) and No-SQL (MongoDB, Couch, Neo4J) databases. For achieving this goal, the database instances are deployed in Docker containers for providing the same deploy, host platform and, also present a performance analysis of the resources for each database. Moreover, we conduct a case of study focus in the storage of the asynchronous information collected by a WSN in a reactive evacuation system, this is information is handled by a Kafka cluster and Zookeeper topics. Finally the tests made in this work provide the information needed for making the correct elections of the database in this type of systems.

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Abstract-In this paper, a distributed communication model is proposed to be implemented as part of a reactive evacuation management system. This implementation includes elements of wired and wireless network communications, which are used for sending and receiving information about the environment inside of a building. In this type of systems, where the sensor nodes of the network are continuously communicating, it presents a challenge for the classification and processing of the information. The aim behind this design, is using Zookeeper topics in order to allow Kafka server for transmitting the information of an alert state, this technique allow for the system to manage real time data transmission coming from the sensor nodes. Moreover, with this data, we can indicate an evacuation route through the reactive activation signaling. As this is an on-going study, we only illustrate our implementation with structural diagrams, but exclude the performance evaluation results in this paper.