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dc.contributor.authorXhafa Xhafa, Fatos
dc.contributor.authorGarcia, Carlos
dc.contributor.authorBarolli, Admir
dc.contributor.authorTakizawa, Makoto
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2016-09-28T15:18:19Z
dc.date.available2016-09-28T15:18:19Z
dc.date.issued2016
dc.identifier.citationXhafa, F., Garcia, C., Barolli, A., Takizawa, M. A web interface for satellite scheduling problems. A: IEEE International Conference on Advanced Information Networking and Applications. "IEEE 30th International Conference on Advanced Information Networking and Applications, IEEE AINA 2016, 23–25 March 2016, Crans-Montana, Switzerland: proceedings". Crans-Montana: Institute of Electrical and Electronics Engineers (IEEE), 2016, p. 821-828.
dc.identifier.urihttp://hdl.handle.net/2117/90290
dc.description(c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.description.abstractMission planning plays an important role in satellite control systems, especially with increase of number of satellites and more complex missions to be planned. In a general setting, the satellite mission scheduling consists in allocating tasks such as observation, communication, etc. to resources (spacecrafts (SCs), satellites, ground stations). For instance, in ground station scheduling the aim is to compute an optimal planning of communications between satellites and operations teams of Ground Station (GS). Because the communication between SCs and GSs can be done during specific window times, this problem can also be seen as a window time scheduling problem. The required communication time is usually quite smaller than the window of visibility of SCs to GSs, however, clashes are produced, making the problem highly constrained. In this work we present a Web interface for solving satellite scheduling problems through various heuristic methods. The Web interface enables the users to remotely solve their problem instances through a selection of heuristic methods such as local search methods (Hill Climbing, Simulated Annealing and Tabu Search) and population-based methods (Genetic Algorithms and variants). The user can select to solve previously generated instances by the STK simulation toolkit or generate their own problem instances. The heuristic methods are easily configurable so that users can simulate a variety of scenarios, problem sizes, etc. The execution of the heuristics methods is done at a HPC Cluster infrastructure supporting efficient execution of various solvers. Additionally, the Web application allows users to keep track of their executions as well as to share problem instances with other users.
dc.format.extent8 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Satèl·lits i ràdioenllaços
dc.subject.lcshSatellites
dc.subject.lcshComputer interfaces
dc.subject.lcshGenetic algorithms
dc.subject.lcshMathematical optimization
dc.subject.otherGenetic algorithms
dc.subject.otherGround station
dc.subject.otherHeuristics
dc.subject.otherHill climbing
dc.subject.otherMeta-heuristics
dc.subject.otherSatellite scheduling
dc.subject.otherSimulated annealing
dc.subject.otherSimulation
dc.subject.otherTabu search
dc.subject.otherWeb interface
dc.titleA web interface for satellite scheduling problems
dc.typeConference report
dc.subject.lemacSatèl·lits
dc.subject.lemacInterfícies (Informàtica)
dc.subject.lemacAlgorismes genètics
dc.subject.lemacOptimització matemàtica
dc.identifier.doi10.1109/AINA.2016.21
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7474174
dc.rights.accessOpen Access
local.identifier.drac17836687
dc.description.versionPostprint (author's final draft)
local.citation.authorXhafa, F.; Garcia, C.; Barolli, A.; Takizawa, M.
local.citation.contributorIEEE International Conference on Advanced Information Networking and Applications
local.citation.pubplaceCrans-Montana
local.citation.publicationNameIEEE 30th International Conference on Advanced Information Networking and Applications, IEEE AINA 2016, 23–25 March 2016, Crans-Montana, Switzerland: proceedings
local.citation.startingPage821
local.citation.endingPage828


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