Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 7 of 7 for “"Cloud Networks"”.
-
A Federated Architecture for Heuristics Packet Filtering in Cloud Networks
… and all kinds of security threats. Today, all networks needs to be secured, and one of the best security policies is firewall implementation.</p> <p>Firewalls can be hardware or cloud based. Hardware based firewalls offer the advantage of faster response time, whereas cloud based firewalls are …
-
Resource Allocation for Green Cloud Networks under Uncertainty: Stochastic, Robust and Big Data-driven Approaches
… with their remarkable expansion, contemporary cloud networks are being challenged by the growing concerns about global warming, due to their substantial energy consumption. Hence, the infrastructure of future data centers must be energy-efficient and sustainable. Fortunately, supporting …
-
CATS: Cloud application-specific traffic scheduling and routing
… limitations and challenges faced by traditional networks via layering, with a focus on the cloud environment that a large fraction of applications and services are running on today. We separate the cloud networks into two categories: intra cloud networks and inter cloud networks. For intra cloud …
-
Application workload prediction and placement in cloud computing systems
Cloud computing has become popular in recent years. Companies such as Amazon and Microsoft host large datacenters of networked machines available for users to rent. These users are varied: from individual researchers to large companies. Their workloads range from short, resource-intensive jobs to …
-
Federated Learning for Secure Sensor Cloud
… data collected from sensor devices. Sensor cloud networks provide resources to physical and virtual sensing devices and enable uninterrupted intelligent solutions to end-users. Thanks to advancements in machine learning algorithms and big data, the automation of mundane tasks with artificial …
-
The Vernaculars of Our Networks: From The Cloud to a Plurality of Grassroots Digital Infrastructures
This thesis is concerned with DIY "off-the-cloud" networks as socio-technical models that can reinscribe a community's organizational processes, identity, and culture. It questions how these networks can break away from corporate and extractive services of "the cloud" in order to achieve digital …
-
Efficient Systems and Algorithms for Deep Learning on Point Clouds
Deep learning on point clouds has received increased attention thanks to its wide applications in AR/VR and autonomous driving. These applications require low latency and high accuracy to provide real-time user experience and ensure user safety. Unlike conventional dense workloads, the sparse and …