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Tytuł: Journal of Telecommunications and Information Technology, Load Balancing Based on Optimization Algorithms: An Overview, 2019, nr 4

Autor:

Mbarek, Fatma ; Mosorov, Volodymyr

Data wydania:

2019, nr 4

Typ zasobu:

artykuł

Opis:

Combinatorial optimization challenges are rooted in real-life problems, continuous optimization problems, discrete optimization problems and other significant problems in telecommunications which include, for example, routing, design of communication networks and load balancing. Load balancing applies to distributed systems and is used for managing web clusters. It allows to forward the load between web servers, using several scheduling algorithms. The main motivation for the study is the fact that combinatorial optimization problems can be solved by applying optimization algorithms. These algorithms include ant colony optimization (ACO), honey bee (HB) and multi-objective optimization (MOO). ACO and HB algorithms are inspired by the foraging behavior of ants and bees which use the process to locate and gather food. However, these two algorithms have been suggested to handle optimization problems with a single-objective. In this context, ACO and HB have to be adjusted to multiobjective optimization problems. This paper provides a summary of the surveyed optimization algorithms and discusses the adaptations of these three algorithms. This is pursued by a detailed analysis and a comparison of three major scheduling techniques mentioned above, as well as three other, new algorithms (resulting from the combination of the aforementioned techniques) used to efficiently handle load balancing issues

Wydawca:

National Institute of Telecommunications

Format:

application/pdf

Identyfikator zasobu:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:2110

Źródło:

Journal of Telecommunications and Information Technology

Język:

ang

Prawa:

Biblioteka Naukowa Instytutu Łączności

Temat i słowa kluczowe:

load balancing ant colony optimization multi-objective optimization honey bee

Kolekcje, do których przypisany jest obiekt:

Data ostatniej modyfikacji:

21 lut 2020

Data dodania obiektu:

21 lut 2020

Liczba wyświetleń treści obiektu:

66

Wszystkie dostępne wersje tego obiektu:

https://ribes-54.man.poznan.pl/publication/2401

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Nazwa wydania Data
Mbarek, Fatma; Mosorov, Volodymyr, Journal of Telecommunications and Information Technology, Load Balancing Based on Optimization Algorithms: An Overview, 2019, nr 4 21 lut 2020

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