  Disaster management demands a near real-time information dissemina-tion so
that the emergency services can be provided to the right people at the right
time. Recent advances in information and communication technologies enable
collection of real-time information from various sources. For example, sensors
deployed in the fields collect data about the environment. Similarly, social
networks like Twitter and Facebook can help to collect data from people in the
disaster zone. On one hand, inadequate situation awareness in disasters has
been identified as one of the primary factors in human errors with grave
consequences such as loss of lives and destruction of critical infrastructure.
On the other hand, the growing ubiquity of social media and mobile devices, and
pervasive nature of the Internet-of-Things means that there are more sources of
outbound traffic, which ultimately results in the creation of a data deluge,
beginning shortly after the onset of disaster events, leading to the problem of
information tsunami. In addition, security and privacy has crucial role to
overcome the misuse of the system for either intrusions into data or overcome
the misuse of the information that was meant for a specified purpose. .... In
this chapter, we provide such a situation aware application to support disaster
management data lifecycle, i.e. from data ingestion and processing to alert
dissemination. We utilize cloud computing, Internet of Things and social
computing technologies to achieve a scalable, effi-cient, and usable
situation-aware application called Cloud4BigData.

Computers and Society;Cryptography and Security;Distributed, Parallel, and Cluster Computing