Search for dissertations about: "cloud computing scheduling"
Showing result 1 - 5 of 24 swedish dissertations containing the words cloud computing scheduling.
-
1. Dynamic Cloud Resource Management : Scheduling, Migration and Server Disaggregation
Abstract : A key aspect of cloud computing is the promise of infinite, scalable resources, and that cloud services should scale up and down on demand. This thesis investigates methods for dynamic resource allocation and management of services in cloud datacenters, introducing new approaches as well as improvements to established technologies. READ MORE
-
2. Managing cloud resource scarcity
Abstract : According to the Infrastructure-as-a-Service conceptualization of cloud computing, Infrastructure Providers offer utility-like pay-as-you-go access to computing resources (e.g., data processing, networks, and storage) to Service Providers, who use those resources to host applications for the benefit of end users. READ MORE
-
3. Energy-efficient cloud computing : autonomic resource provisioning for datacenters
Abstract : Energy efficiency has become an increasingly important concern in data centers because of issues associated with energy consumption, such as capital costs, operating expenses, and environmental impact. While energy loss due to suboptimal use of facilities and non-IT equipment has largely been reduced through the use of best-practice technologies, addressing energy wastage in IT equipment still requires the design and implementation of energy-aware resource management systems. READ MORE
-
4. Enabling Technologies for Management of Distributed Computing Infrastructures
Abstract : Computing infrastructures offer remote access to computing power that can be employed, e.g., to solve complex mathematical problems or to host computational services that need to be online and accessible at all times. READ MORE
-
5. Algorithms and Systems for Virtual Machine Scheduling in Cloud Infrastructures
Abstract : With the emergence of cloud computing, computing resources (i.e., networks, servers, storage, applications, etc.) are provisioned as metered on-demand services over net- works, and can be rapidly allocated and released with minimal management effort. READ MORE