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Showing result 1 - 5 of 113 essays matching the above criteria.
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1. Optimization of the Cloud-Native Infrastructure using Artificial Intelligence
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : To test Cloud RAN applications, such as the virtual distributed unit (vDU) and centralized virtual unit (vCU), a test environment is required, commonly known as a “test bed” or “test channel”. This test bed comprises various cloudnative infrastructures, including different hardware and software components. READ MORE
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2. Optimizing the instruction scheduler of high-level synthesis tool
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the increasing complexity of the chip architecture design for meeting different application requirements, the corresponding instruction scheduler of high-level synthesis tool needs to solve complex scheduling problems. Dynamically Reconfigurable Resource Array (DRRA) is a novel architecture based on Coarse-Grained Reconfigurable Architecture (CGRA) on SiLago platform, the instruction scheduler of Vesyla-II, the dedicated High-Level Synthesis (HLS) tool targets for DRRA needs to schedule the specific instruction sets designed for Distributed Two-level Control System (D2LC). READ MORE
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3. Dynamic container orchestration for a device-cloud continuum
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Edge computing has emerged as a paradigm to support the growing demand for real-time processing of data generated at the edge of the network. As the devices at the edge are constrained, one of the challenges in the area is how to schedule workloads. READ MORE
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4. Simultaneous scheduling of railway maintenance and trains : Modelling and solving train interactions close to a maintenance operation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Rail transport plays a key role in the mobility of passengers and goods. It is expected to grow the decarbonization of society. In that context, it is important to use the railway network efficiently, and jointly planning trains and network maintenance allows for better use of resources. READ MORE
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5. CPU vs GPU performance when solving the flexible job-shop problem using genetic algorithms
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this thesis, a comparison is made between the performance of genetic algorithms executed on the CPU and the GPU for solving the Flexible Job-shop Scheduling Problem (FJSP). The purpose is to determine whether one processing unit offers better performance than the other. READ MORE