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Managing the resources of a virtualized data-center is a key issue in cloud computing. Existing research mostly assumes that applications are either allocated the required resources or fail. Combined with the fact that most cloud applications have dynamic resource requirements, this imposes a fundamental limitation to cloud computing: To guarantee on-demand resource allocations, the data-center ne
Traditionally, control loops are closed using periodic sensing and actuation. When communication resources are scarce, however, much may be gained from transmitting only when something important has happened in the loop. This paper presents a simple model of the interference between event-based control loops caused by sharing a common medium, based on the coupled dynamics of a Markov chain represe
A number of techniques have been proposed to provide run- time performance guarantees while minimizing power consumption. One drawback of existing approaches is that they work only on a fixed set of components (or actuators) that must be specified at design time. If new components become available, these management systems must be redesigned and reimplemented. In this paper, we propose PTRADE, a n
As farms are getting bigger with more animals, less manual supervision and attention can be given the animals on both group and individual level. In order not to jeopardize animal welfare, automated supervision is in some way already in use. Function and control of ventilation is already in use in modern pig stables, e.g. by the use of sensors for temperature, relative humidity and malfunction con
This paper describes a knowledge integration framework for robotics, whose goal is to represent, store, adapt, and distribute knowledge across engineering platforms. The architecture abstracts the components as data sources, where data are available in the AutomationML data exchange format. AutomationML is an on-going standard initiative that aims at unifying data representation and APIs used by e
In this paper a distributed version of the Kalman filter is proposed. In particular, the estimation problem is reduced to the optimization of a cost function that depends on the system dynamics and the latest output measurements and state estimates which is distributed among the agents by means of dual decomposition. The techniques presented in the paper are applied to estimate the position of mob
An adaptive resource management system combined with a thermal controller is presented. The aim of the system is to dynamically allocate computing resources to applications competing for the same computing resources in such a way that the system is not overheated. The approach has been implemented on a mobile robot. Experimental results are presented showing the feasibility of the approach.
Cloud computing is an application hosting model providing the illusion of infinite computing power. However, even the largest datacenters have finite computing capacity, thus cloud infrastructures have experienced overload due to overbooking or transient failures. The topic of this paper is the comparison of different control strategies to mitigate overload for datacenters, that assume that the r
The Modelica language, targeted at modeling of complex physical systems, has gained increased attention during the last decade. Modelica is about to establish itself as a de facto standard in the modeling community with strong support both within academia and industry. While there are several tools, both commercial and free, supporting simulation of Modelica models few efforts have been made in th
Turbines operating in wind farms are coupled by the wind flow. This coupling results in limited power production and increased fatigue loads on turbines operating in the wake of other turbines. To operate wind farms cost effectively, it is important to understand and address these effects. In this paper, we derive a stationary model for turbine interaction. The model has a simple intuitive structu
The software engineering community has proposed numerous approaches for making software self-adaptive. These approaches take inspiration from machine learning and control theory, constructing software that monitors and modifies its own behavior to meet goals. Control theory, in particular, has received considerable attention as it represents a general methodology for creating adaptive systems. Con
Jubileumsutställning på Universitetsbiblioteket i Lund 12 /5 2017 – 1 /2 2018 Störst, mest och vackrast UNIVERSITETSBIBLIOTEKET 350 ÅR 130 000 hyllmeter motsvarar 5 miljoner böcker. Eller 2,5 miljarder enskilda sidor. Eller lite mer än 650 miljarder ord. Som skulle ta dig drygt 6000 år att läsa. Förutsatt att du kan läsa mer än 150 olika språk. Och aldrig sover, äter eller tappar koncentrationen.
https://www.ub.lu.se/en/sites/ub.lu.se.en/files/ub350-broschyr.pdf - 2026-06-27
Geolog får fossil att rocka Svamp minskar växthuseffekten Värdegrundsprojekt sjösatt Winstrup Lunds universitets magasin | nr 6 | 2014 åter i vetenskapens tjänst efter 335 år 2 LUM nr 6 | 2014 LUM nr 6 | 2014 3 – Visst finns det en liten oro, precis som när två personer flyttar ihop. Det här är fem familjer som flyttat samman. Vi kan inte varandra och varandras vardagsrutiner ännu. Det får man upp
https://www.lu.se/sites/www.lu.se/files/lunds-universitets-magasin-6-2014.pdf - 2026-06-27
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https://www.saco.se/en/about-saco/sacos-organisation/sacos-history/ - 2026-06-27
Professor emeritus Kontaktinformation E-post: bjorn [dot] hansson [at] nek [dot] lu [dot] se Telefon: +46 46 222 93 90Organisation Nationalekonomiska institutionen Rumsnummer: Alfa1:4036A Hämtställe: 10 WebbplatsBjörn Hanssons profil i Lunds universitets forskningsportal Publikationer Visar av publikationer. Sorterade efter år och sen titel. Filtrera efter typ AllaArtikel i vetenskaplig tidskriftB
https://www.ehl.lu.se/bjorn-hansson - 2026-06-27
