Sökning: "Autonomic Computing"
Visar resultat 1 - 5 av 18 avhandlingar innehållade orden Autonomic Computing.
1. Energy-efficient cloud computing : autonomic resource provisioning for datacenters
Sammanfattning : 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. LÄS MER
2. Self-Management for Large-Scale Distributed Systems
Sammanfattning : Autonomic computing aims at making computing systems self-managing by using autonomic managers in order to reduce obstacles caused by management complexity. This thesis presents results of research on self-management for large-scale distributed systems. LÄS MER
3. Distributed Intelligence-Assisted Autonomic Context-Information Management : A context-based approach to handling vast amounts of heterogeneous IoT data
Sammanfattning : As an implication of rapid growth in Internet-of-Things (IoT) data, current focus has shifted towards utilizing and analysing the data in order to make sense of the data. The aim of which is to make instantaneous, automated, and informed decisions that will drive the future IoT. LÄS MER
4. Autonomic Management of Partitioners for SAMR Grid Hierarchies
Sammanfattning : Parallel structured adaptive mesh refinement methods decrease the execution time and memory usage of partial differential equation solvers by adaptively assigning computational resources to regions with large solution errors. These methods result in a dynamic grid hierarchy. LÄS MER
5. Enabling and Achieving Self-Management for Large Scale Distributed Systems : Platform and Design Methodology for Self-Management
Sammanfattning : Autonomic computing is a paradigm that aims at reducing administrative overhead by using autonomic managers to make applications self-managing. To better deal with large-scale dynamic environments; and to improve scalability, robustness, and performance; we advocate for distribution of management functions among several cooperative autonomic managers that coordinate their activities in order to achieve management objectives. LÄS MER