Cloud computing

Abstract: A method implements a control plane of an evolved packet core (EPC) of a long term evolution (LTE) network in a cloud computing system. A cloud manager monitors resource utilization of each control plane module and the control plane traffic handled by each control plane module. The cloud manager detects a threshold level of resource utilization or traffic load for one of the plurality of control plane modules of the EPC. A new control plane module is initialized as a separate virtual machine by the cloud manager in response to detecting the threshold level. The new control plane module signals the plurality of network elements in the data plane to establish flow rules and actions to establish differential routing of flows in the data plane using the control protocol, wherein flow matches are encoded using an extensible match structure in which the flow match is encoded as a type-length-value (TLV).

Abstract: A recent trend in both industry and research is the Internet of Drones, which has applications in both civilian and military settings. However, drones (also known as unmanned aerial vehicles) are generally not designed with security in mind, and there are fundamental security and privacy issues that need study. Hence, in this article, we study the architecture and its security and privacy requirements. We also outline potential solutions to address challenging issues such as privacy leakage, data confidentiality protection, and flexible accessibility, with the hope that this article will provide the basis for future research in this emerging area.

Abstract: The Internet of Things (IoT) has become a promising technology for addressing societal challenges by connecting smart devices and leveraging Big Data analytics to create smart cities worldwide As the IoT scales up, it's important to provide interoperability among different devices Yet current simple standard protocols lack sufficient openness and interoperability IoT for smart cities needs to guarantee the accessibility of open data and cloud services to allow industries and citizens to develop new services and applications Here, the authors provide a case study of the GreenIoT platform in Uppsala, Sweden, to demonstrate the idea of interoperability and open data for smart cities

Abstract: Systems and methods are disclosed for performing data storage operations, including content-indexing, containerized deduplication, and policy-driven storage, within a cloud environment. The systems support a variety of clients and cloud storage sites that may connect to the system in a cloud environment that requires data transfer over wide area networks, such as the Internet, which may have appreciable latency and/or packet loss, using various network protocols, including HTTP and FTP. Methods are disclosed for content indexing data stored within a cloud environment to facilitate later searching, including collaborative searching. Methods are also disclosed for performing containerized deduplication to reduce the strain on a system namespace, effectuate cost savings, etc. Methods are disclosed for identifying suitable storage locations, including suitable cloud storage sites, for data files subject to a storage policy. Further, systems and methods for providing a cloud gateway and a scalable data object store within a cloud environment are disclosed, along with other features.