Sürdürülebilir Yeşil Kampüs Koleksiyonu / Sustainable Green Campus Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7755

Browse

Search Results

Now showing 1 - 4 of 4
  • Conference Object
    Citation - Scopus: 2
    Resource Allocation Algorithm for a Relational Join Operator in Grid Systems
    (Association for Computing Machinery (ACM), 2012) Çokuslu, Deniz; Hameurlain, Abdelkader; Erciyeş, Kayhan; Morvan, Franck
    Grid systems become very popular during the last decade because of their rapidly increasing computational capabilities. On the other hand, the advances on different domains cause enormous increase in the scale of the manipulated data. This issue augments the importance of distributed query processing and causes researchers to port their underlying environment onto the grid systems. However the dynamicity, heterogeneity and large scale characteristics of grid systems pose new problems for the distributed query processing domain. Resource allocation for query processing in grid systems is one of these problems, which attracts many researchers' attention. In this paper, we propose a new resource allocation algorithm for one relational join operator in a query considering characteristics of the grid systems. We provide theoretical analyses of the proposed algorithm and we consolidate analyses with the simulations. Copyright © 2012 ACM.
  • Conference Object
    Citation - Scopus: 2
    A Maximum Degree Self-Stabilizing Spanning Tree Algorithm
    (Springer Verlag, 2010) Çokuslu, Deniz; Erciyeş, Kayhan; Hameurlain, Abdelkader
    Spanning trees are fundamental topological structures in distributed environments which ease many applications that require frequent communication between nodes. In this paper, we examine and compare two spanning tree construction algorithms which rely on classical and self stabilization approach. Then, we propose a new self-stabilizing spanning tree construction algorithm which uses maximum degree heuristic while choosing the root node. We show experimentally that our new algorithm provides smaller tree diameters than the two existing approaches with favorable run-times. © 2011 Springer Science+Business Media B.V.
  • Conference Object
    Citation - WoS: 6
    Citation - Scopus: 6
    A Merging Clustering Algorithm for Mobile Ad Hoc Networks
    (Springer Verlag, 2006) Dağdeviren, Orhan; Erciyeş, Kayhan; Çokuslu, Deniz
    Clustering is a widely used approach to ease implementation of various problems such as routing and resource management in mobile ad hoc networks (MANET)s. We propose a new fully distributed algorithm for clustering in MANETs that merges clusters to form higher level clusters by increasing their levels. We show the operation of the algorithm and analyze its time and message complexities and provide results in the simulation environment of ns2. Our results conform that the algorithm proposed is scalable and has a lower time and message complexities than the other algorithms
  • Master Thesis
    A Dominating Set Based Communication Architecture for Distributed Applications in Mobile Ad Hoc Networks
    (Izmir Institute of Technology, 2007) Çokuslu, Deniz; Aytaç, İsmail Sıtkı
    In this thesis, we aim to design and implement algorithms in a distributed environment in order to solve clustering, backbone formation and efficient routing problems for mobile ad hoc networks(MANET)s. Our first goal is to find a connected dominating set (CDS), then construct clusters using the clusterhead information and extend this approach to multi-level clusters. We propose a new Connected Dominating Set based clustering algorithm for clustering in MANETs. Our algorithm is based on Wu and Li's algorithm, however we provide significant modifications and heuristics such as considering the degrees of the nodes during marking process. We also extend our algorithm in order to generate a hierarchy of clusters. Our second goal is to implement a flooding based routing mechanism on top of CDS based clusters. We propose a two level flooding mechanism by using the CDS members as the gateways of the clusters. We describe the algorithms, analyze their time and message complexities and measure their performance in the simulation environments.