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Authors propose a structural design of social networks to study architecture of social networking site and its working principles. Typical social networking sites have three-tier architecture which induces higher searching time for user queries. Our proposal presents a load balancing module for protecting user enquiries before spreading them to data server. In this chapter, query optimization of user queries for faster results has been discussed. Experimentation results exhibit possibilities of data (user queries) failure reduction due to external disturbances. Authors have analyzed large scale data of social network through graph for reducing data loss and minimal network failure to maintain scale free growth in Social network. Properties of interface module and growth coefficient are to be analyzed to exhibit benefits of proposed system architecture for balancing load from web server to data server through Hash table cache, Log table and index control module with scale-free query optimization.

We propose a server-side framework of sensor-based cloud applications to collect real-time user data for surveillance and tracking in a predefined area, such as a park, a garden, and so on. We provide a typical device for tracking users’ location and health status to handle emergencies. Queries have been generated and sent to the particular service cloud to handle the nature of these emergencies. An automated alert has been generated to a server-side system framework for monitoring purposes and to further send the rescue team to initiate precautionary measures. The user's location is tracked by latitude and longitude values. The proposed system has been utilized for continuously checking user's health using distinct upper and lower threshold values. Inconsistent users’ data generate automated notifications within the system framework. We have designed a system framework using a sensor device, data cloud, and social media for monitoring purposes using simulations such as graphs and tables with an attempt to optimize software and hardware utilization, along with user security in an energy-efficient manner.

The authors propose an agent-based noise detection system based on Internet of Things (IOT) for handling abnormality in sound levels of a specified zone and further analysis of data received. Our research work is important for managing different noise levels and to control fully automated emergency response unlike existing mechanism. Increased requirement of safety and security of typical organizations triggers the idea of IOT based framework creating safer zone for highly secured data and/or substances. Agents are to be considered for producing a particular effect based on external noise values. In this article, the authors have used noise agents to identify noise levels in enclosed spaces. The safety of any zone or organization should be monitored having live noise data generated by sensors situated in specific locations of users' interests at any time instance. Generated live data is sent for further analysis for identifying noise patterns. These noise patterns determine intensity of abnormality in real environments. Their predefined set of values identifies the intensity and helps system to respond appropriately. Based on specific values of noise, distinct thresholds are decided for different enclosed zones. An alert system is based on distinct thresholds. Noise sensors have been used at sender's side and receiver's side for smooth transmission of data. New theory based on data sent, data received and dependency of noise of an agent on weightage factors has been proposed in this paper.

The authors propose an agent-based noise detection system based on Internet of Things (IOT) for handling abnormality in sound levels of a specified zone and further analysis of data received. Our research work is important for managing different noise levels and to control fully automated emergency response unlike existing mechanism. Increased requirement of safety and security of typical organizations triggers the idea of IOT based framework creating safer zone for highly secured data and/or substances. Agents are to be considered for producing a particular effect based on external noise values. In this article, the authors have used noise agents to identify noise levels in enclosed spaces. The safety of any zone or organization should be monitored having live noise data generated by sensors situated in specific locations of users' interests at any time instance. Generated live data is sent for further analysis for identifying noise patterns. These noise patterns determine intensity of abnormality in real environments. Their predefined set of values identifies the intensity and helps system to respond appropriately. Based on specific values of noise, distinct thresholds are decided for different enclosed zones. An alert system is based on distinct thresholds. Noise sensors have been used at sender's side and receiver's side for smooth transmission of data. New theory based on data sent, data received and dependency of noise of an agent on weightage factors has been proposed in this paper.

We propose an advanced architecture which works better than typical architecture of social networks. We are going to study architecture of social networking sites. Our architecture uses a load balancing module for buffering user queries before transmitting them to data server. In this paper, query optimization of user queries for faster results has been discussed. Our experimentation exhibits possibility of data failure reduction due to external disturbances.

In this paper, we are going to discuss about big data processing for Internet of Things (IOT) based data. Our system extracts information within specified time frame. Data tracker or interface tracks information directly from big data sources. Data tracker transfers data clusters to data controller. Data controller processes each data cluster and makes them smaller after removing possible redundancies. Big data processing is a challenge to maintain data privacy-related protections. Data controller processes big data clusters and sends them through secure and/or hidden channels maintaining data privacy.

We propose an Internet of Things (IOT) based system for handling of real time data fed from the environment to measure distinct activities. We provide unique identifications for each required substance using IOT. In this paper, we have presented and discussed the use of sensors as part of senders and receivers for protecting sensitive areas of specified zones. Furthermore, we have discussed the presence of IOT in preserving the intrusion details of sensitive areas.