Resource-aware load balancing system with artificial neural networks

Yıldız, Ali
As the distributed systems becomes popular, efficient load balancing systems taking better decisions must be designed. The most important reasons that necessitate load balancing in a distributed system are the heterogeneous hosts having different com- puting powers, external loads and the tasks running on different hosts but communi- cating with each other. In this thesis, a load balancing approach, called RALBANN, developed using graph partitioning and artificial neural networks (ANNs) is de- scribed. The aim of RALBANN is to integrate the successful load balancing deci- sions of graph partitioning algorithms with the efficient decision making mechanism of ANNs. The results showed that using ANNs to make efficient load balancing can be very beneficial. If trained enough, ANNs may load the balance as good as graph partitioning algorithms more efficiently.


Efficient scheduling in distributed computing on grid
Kaya, Özgür; Bozyiğit, Müslim; Department of Computer Engineering (2006)
Today many computing resources distributed geographically are idle much of time. The aim of the grid computing is collecting these resources into a single system. It helps to solve problems that are too complex for a single PC. Scheduling plays a critical role in the efficient and effective management of resources to achieve high performance on grid computing environment. Due to the heterogeneity and highly dynamic nature of grid, developing scheduling algorithms for grid computing involves some challenges....
Scalar multiplication on elliptic curves
Yayla, Oğuz; Akyıldız, Ersan; Department of Cryptography (2006)
Elliptic curve cryptography has gained much popularity in the past decade and has been challenging the dominant RSA/DSA systems today. This is mainly due to elliptic curves offer cryptographic systems with higher speed, less memory and smaller key sizes than older ones. Among the various arithmetic operations required in implementing public key cryptographic algorithms based on elliptic curves, the elliptic curve scalar multiplication has probably received the maximum attention from the research community i...
An evaluation of aspect-oriented programming for embedded real-time systems
Kartal, Yusuf Bora; Schmidt, Şenan Ece; Department of Electrical and Electronics Engineering (2007)
Crosscutting concerns are the issues in software that cannot be modularized within a software module. In this thesis work, a detailed evaluation of the use of Aspect Oriented Programming for the implementation of crosscutting concerns in embedded real-time systems is presented. The pilot Audio Switch project implementations are first evaluated in terms of software quality attributes. Then a detailed analysis of the two implementations, according to embedded real-time performance metrics has been carried out...
Quantifying Uncertainty in Internet of Medical Things and Big-Data Services Using Intelligence and Deep Learning
Al-Turjman, Fadi; Zahmatkesh, Hadi; Mostarda, Leonardo (Institute of Electrical and Electronics Engineers (IEEE), 2019-01-01)
In the cloud-based Internet of Things (IoT) environments, quantifying uncertainty is an important element input to keep the acceptable level of reliability in various configurations. In this paper, we aim to address the pricing model of delivering data over the cloud while taking into consideration the dynamic uncertainty factors such as network topology, transmission/reception energy, nodal charge and power, and computation capacity. These uncertainty factors are mapped to different nodes with varying capa...
Energy- aware task scheduling over mobile ad hoc networks
Bokar, Ali; Bozyiğit, Müslim; Department of Computer Engineering (2009)
Mobile ad hoc networks (MANETs) can be formed dynamically without the support of any existing infrastructure or any centralized administration. They consist of heterogeneous mobile nodes which are powered by batteries, move arbitrarily and are connected by wireless links. Battery energy limitation is one of the main challenges in the MANETs. Several hardware and software based techniques have been proposed in this field. Most of the previous studies have considered only the energy minimization of individual...
Citation Formats
A. Yıldız, “Resource-aware load balancing system with artificial neural networks,” M.S. - Master of Science, Middle East Technical University, 2006.