Search for dissertations about: "storage networks"

Showing result 1 - 5 of 118 swedish dissertations containing the words storage networks.

2. 1. Exploiting the Synergies from Coupled Electricity and Heat Distribution Networks : Modelling, simulation and optimization based on an extended energy hub approach

   Author : Getnet Tadesse Ayele; Björn Laumert; Joachim Claesson; Bruno Lacarrière; Pierrick Haurant; Filip Johnsson; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; District heating networks; Electricity distribution networks; Extended energy hub approach; Integrated load flow study; Integrated optimal power flow; Multi-carrier energy networks; Multi-energy system; Optimal placement; Thermal storage.; Hub énergétique étendu; Flux de charges; Flux de puissances intégrées optimaux; Réseaux énergétiques multi-vecteurs; Système multi-énergies; Placement optimal.; Fjärrvärmenät; Elektricitetsdistributionsnät; Utökad strategi för energihub; Integrerad belastningsstudie; Integrerat optimalt effektflöde; Energinät med flera bärare; Multi-energisystem; Optimal placering; Termisk lagring.; Energy Technology; Energiteknik;

   Abstract : Recent literature shows that there is a significant potential of decarbonisation and efficiency improvement that can be achieved through the synergy from multi-energy systems (MESs). Coupling technologies, such as co-generation plants, heat pumps and thermal storages are widely recommended as means of unlocking additional flexibility and increasing the penetration of renewables in the heating and electricity sectors. READ MORE

4. 2. Towards Cortex Isomorphic Attractor Neural Networks

   Author : Christopher Johansson; KTH; []
   Keywords : Attractor Neural Networks; Cerebral Cortex; Minicolumns; Hypercolumns; Potts Neural Networks; BCPNN; and Parallel Computers;

   Abstract : In this thesis we model the mammalian cerebral cortex withattractor neural networks and study the parallelimplementations of these models. First, we review the size, structure, and scaling laws ofthe cerebral cortex of five mammals; mouse, rat, cat, macaque,and human. READ MORE

5. 3. Topics in Distributed Algorithms: On Wireless Networks, Distributed Storage and Streaming

   Author : Thomas Petig; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Message Passing; Wireless Networks; Time Division Multiple Access; Shared Memory; Fault-Tolerance; Streaming; NP-Hardness; Distributed Algorithm; Optimisation; TDMA;

   Abstract : Distributed algorithms are executed on a set of computational instances. Werefer to these instances as nodes. Nodes are runningconcurrently and are independent from each other. Furthermore, they have their own instructions and information. READ MORE

6. 4. Accelerating Distributed Storage in Heterogeneous Settings

   Author : Waleed Reda; Dejan Kostic; Peter Van Roy; Marco Chiesa; Adam Morrison; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Distributed storage; File systems; Hardware offload; Persistent memory; Distribuerad lagring; Dilsystem; Maskinvaruavlastning; Beständigt minne; Computer Science; Datalogi;

   Abstract : Heterogeneity in cloud environments is a fact of life—from workload skews and network path changes, to the diversity of server hardware components, these are all factors that impact the performance of distributed storage. In this dissertation, we identify that heterogeneity can in fact be one of the primary causes of service degradation for storage systems. READ MORE

7. 5. Topics in Distributed Algorithms: On TDMA for Ad Hoc Networks and Coded Atomic Storage Algorithms

   Author : Thomas Petig; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Fault-Tolerance; TDMA; Message Passing; Self-Stabilization; Distributed Algorithm; Wireless Networks; Time Division Multiple Access; Shared Memory; Privacy;

   Abstract : Distributed algorithms run on a network of nodes. The nodes are runningconcurrently and are independent from each other. Furthermore, they have their own instructions and information. In this context, the challenges are to show thatthe algorithm is correct, regardless of computational, or communication delays. READ MORE