Search for dissertations about: "cloud computing task scheduling"

Found 5 swedish dissertations containing the words cloud computing task scheduling.

  2. 1. Offline Task Scheduling in a Three-layer Edge-Cloud Architecture

    Author : Ayeh Mahjoubi; Karl-Johan Grinnemo; Arunselvan Ramaswamy; Alessandro Papadopoulos; Karlstads universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; task offloading; task scheduling; edge computing; internet of things; optimization techniques; heuristics; meta-heuristics; Computer Science; Datavetenskap;

    Abstract : Internet of Things (IoT) devices are increasingly being used everywhere, from the factory to the hospital to the house to the car. IoT devices typically have limited processing resources, so they must rely on cloud servers to accomplish their tasks. Thus, many obstacles need to be overcome while offloading tasks to the cloud. READ MORE

  4. 2. Metadata Management in Multi-Grids and Multi-Clouds

    Author : Daniel Espling; Erik Elmroth; Erwin Laure; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; grid computing; cloud computing; accounting; billing; metadata; monitoring; structure; fairshare; scheduling; federated; Computer Science; datalogi;

    Abstract : Grid computing and cloud computing are two related paradigms used to access and use vast amounts of computational resources. The resources are often owned and managed by a third party, relieving the users from the costs and burdens of acquiring and managing a considerably large infrastructure themselves. READ MORE

  5. 3. Application-aware resource management for datacenters

    Author : Abel Pinto Coelho de Souza; Johan Tordsson; Andreas Hellander; Per-Håkan Lundow; Lili Jiang; Umeå universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Resource Management; High Performance Computing; Cloud Computing; Computer Science; datalogi;

    Abstract : High Performance Computing (HPC) and Cloud Computing datacenters are extensively used to steer and solve complex problems in science, engineering, and business, such as calculating correlations and making predictions. Already in a single datacenter server, there are thousands of hardware and software metrics – Key Performance Indicators (KPIs) – that individually and aggregated can give insight in the performance, robustness, and efficiency of the datacenter and the provisioned applications. READ MORE

  6. 4. Task Placement and Resource Allocation in Edge Computing Systems

    Author : Sladana Josilo; György Dán; Ben Liang; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electrical Engineering; Elektro- och systemteknik;

    Abstract : The evolution of wireless and hardware technology has led to the rapiddevelopment of a variety of mobile applications. Common to these applicationsis that they have low latency and high computational requirementsthat often cannot be fulfilled by individual devices due to their insufficientcomputational power, memory and battery capacity. READ MORE

  7. 5. Integrating Elastic Real-Time Applications on Fog Computing Platforms

    Author : Mohammad Salman Shaik; Thomas Nolte; Alessandro Papadopoulos; Saad Mubeen; Filip Markovic; Risat Pathan; Mälardalens universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Computer Science; datavetenskap;

    Abstract : Real-time systems such as industrial robots and autonomous navigation vehicles integrate a wide range of algorithms to achieve their functional behavior. In certain systems, these algorithms are deployed on dedicated single-core hardware platforms that exchange information over a real-time network. READ MORE