Energy vs. QoX network- and cloud services management

Bego Blanco*, Fidel Liberal, Pasi Lassila, Samuli Aalto, Javier Sainz, Marco Gribaudo, Barbara Pernici

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaChapterScientificvertaisarvioitu

86 Lataukset (Pure)

Abstrakti

Network Performance (NP)- and more recently Quality of Service/Experience/anything (QoS/QoE/QoX)-based network management techniques focus on the maximization of associated Key Performance Indicators (KPIs). Such mechanisms are usually constrained by certain thresholds of other system design parameters. e.g., typically, cost. When applied to the current competitive heterogeneous Cloud Services scenario, this approach may have become obsolete due to its static nature. In fact, energy awareness and the capability of modern technologies to deliver multimedia content at different possible combinations of quality (and prize) demand a complex optimization framework. It is therefore necessary to define more flexible paradigms that make it possible to consider cost, energy and even other currently unforeseen design parameters not as simple constraints, but as tunable variables that play a role in the adaptation mechanisms. In this chapter we will briefly introduce most commonly used frameworks for multi-criteria optimization and evaluate them in different Energy vs. QoX sample scenarios. Finally, the current status of related network management tools will be described, so as to identify possible application areas.

AlkuperäiskieliEnglanti
OtsikkoLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Sivut241-268
Sivumäärä28
ISBN (elektroninen)978-3-319-90415-3
DOI - pysyväislinkit
TilaJulkaistu - 1 tammikuuta 2018
OKM-julkaisutyyppiA3 Kirjan osa tai toinen tutkimuskirja

Julkaisusarja

NimiLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
VuosikertaLNCS 10768
ISSN (painettu)0302-9743
ISSN (elektroninen)1611-3349

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  • Siteeraa tätä

    Blanco, B., Liberal, F., Lassila, P., Aalto, S., Sainz, J., Gribaudo, M., & Pernici, B. (2018). Energy vs. QoX network- and cloud services management. teoksessa Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Sivut 241-268). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vuosikerta LNCS 10768). https://doi.org/10.1007/978-3-319-90415-3_10