Search for dissertations about: "scheduling algorithms"
Showing result 1 - 5 of 122 swedish dissertations containing the words scheduling algorithms.
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1. Scheduling Algorithms For Fault-Tolerant Real-Time Systems
Abstract : This thesis deals with the problem of designing efficient fault-tolerant real-time scheduling algorithms for independent periodic tasks on uni- and multiprocessor platforms. The well-known Rate-Monotonic (RM) scheduling algorithm is assumed as it is widely used in many commercial systems due to its simplicity and ease of implementation. READ MORE
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2. 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
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3. A real-time simulation-based optimisation environment for industrial scheduling
Abstract : In order to cope with the challenges in industry today, such as changes in product diversity and production volume, manufacturing companies are forced to react more flexibly and swiftly. Furthermore, in order for them to survive in an ever-changing market, they also need to be highly competitive by achieving near optimal efficiency in their operations. READ MORE
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4. Short-term Underground Mine Scheduling : An Industrial Application of Constraint Programming
Abstract : The mining industry is facing a surge in automation in the pursuit of safe and profitable operations. As the excavation process is increasingly automated, today's mining companies seek to optimize the coordination of the now automated mining activities. READ MORE
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5. 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