Designing Hybrid Cloud Computing Framework using OpenStack for Supporting Multimedia with Security and Privacy

Cloud computing is a rapidly growing resource for large data and has spark interest for innovations in the design and security of this new type of big data architecture. One of the major concerns with cloud data storage is that the owners of the information give up the direct control of their information; this leads to significant rise in the need for technology innovations in cyber security. Multimedia applications such as medical images and videos, secure video conferencing, and video streaming consume massive amounts of data requiring significant numbers of servers to provide services for large populations that use them. It becomes increasingly important that the sensitive data offered through cloud resources is to be kept confidential to the respective users without violating confidentiality, integrity and availability of the data. We propose to implement a private cloud which uses a Smart Load Balancer and Bandwidth Shaper (SLBBS) using OpenStack architecture to determine the appropriate action for a user's request in order to better secure data accessed in Multimedia Cloud Networks (MMCN). Our system will allow for privacy sensitive multimedia data to be allocated to specific private cloud computer instead of being sent to public cloud.