Search for dissertations about: "hardware and software utilization"
Showing result 1 - 5 of 34 swedish dissertations containing the words hardware and software utilization.
-
1. Performance Aspects in Virtualized Software Systems
Abstract : Virtualization has significantly improved hardware utilization by allowing IT service providers to create and run several independent virtual machine instances on the same physical hardware. One of the features of virtualization is live migration of the virtual machines while they are active, which requires transfer of memory and storage from the source to the destination during the migration process. READ MORE
-
2. Hardware/Software Co-Design of Heterogeneous Manycore Architectures
Abstract : In the era of big data, advanced sensing, and artificial intelligence, the required computation power is provided mostly by multicore and manycore architectures. However, the performance demand keeps growing. Thus the computer architectures need to continue evolving and provide higher performance. READ MORE
-
3. Live VM Migration : Principles and Performance
Abstract : Virtualization is a key technology for cloud computing as it allows several operating system instances to run on the same machine, enhances resource manageability and enables flexible definition of billing units. Virtualization works by adding a software layer, a hypervisor, on top of the hardware platform. READ MORE
-
4. Bringing Visibility in the Clouds : using Security, Transparency and Assurance Services
Abstract : The evolution of cloud computing allows the provisioning of IT resources over the Internet and promises many benefits for both - the service users and providers. Despite various benefits offered by cloud based services, many users hesitate in moving their IT systems to the cloud mainly due to many new security problems introduced by cloud environments. READ MORE
-
5. Hardware-Aware Algorithm Designs for Efficient Parallel and Distributed Processing
Abstract : The introduction and widespread adoption of the Internet of Things, together with emerging new industrial applications, bring new requirements in data processing. Specifically, the need for timely processing of data that arrives at high rates creates a challenge for the traditional cloud computing paradigm, where data collected at various sources is sent to the cloud for processing. READ MORE