Researcher:
Koç, Tuğba

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Tuğba

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Koç

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Koç, Tuğba

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2011 - 20142

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Researcher Of Publications: search.filters.isAuthorOfPublication.3836859d-a6ec-4bb8-82e1-3ee951521526

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    Flat and hierarchical epidemics in P2P systems: energy cost models and analysis
    (Elsevier, 2014) N/A; Department of Computer Engineering; N/A; N/A; Department of Computer Engineering; Özkasap, Öznur; Çem, Emrah; Cebeci, Sena Efsun; Koç, Tuğba; Faculty Member; PhD Student; PhD Student; Researcher; Department of Computer Engineering; College of Engineering; Graduate School of Sciences and Engineering; Graduate School of Sciences and Engineering; College of Engineering; 113507; N/A; N/A; N/A
    In large scale distributed systems, epidemic or gossip-based communication mechanisms are preferred for their ease of deployment, simplicity, robustness against failures, load-balancing and limited resource usage. Although they have extensive applicability, there is no prior work on developing energy cost models for epidemic distributed mechanisms. In this study, we address power awareness features of two main groups of epidemics, namely flat and hierarchical. We propose a dominating-set based and power-aware hierarchical epidemic approach that eliminates a significant number of peers from gossiping. To the best of our knowledge, using a dominating set to build a hierarchy for epidemic communication and provide energy efficiency in P2P systems is a novel approach. We develop energy cost model formulations for flat and hierarchical epidemics. In contrast to the prior works, our study is the first one that proposes energy cost models for generic peers using epidemic communication, and examines the effect of protocol parameters to characterize energy consumption. As a case study protocol, we use our epidemic protocol ProFID for frequent items discovery in P2P systems. By means of extensive large scale simulations on PeerSim, we analyze the effect of protocol parameters on energy consumption, compare flat and hierarchical epidemic approaches for efficiency, scalability, and applicability as well as investigate their resilience under realistic churn.
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    Energy efficient hierarchical epidemics in peer-to-peer systems
    (IEEE, 2011) N/A; Department of Computer Engineering; Özkasap, Öznur; Çem, Emrah; Koç, Tuğba; Faculty Member; PhD Student; Master Student; Department of Computer Engineering; College of Engineering; Graduate School of Sciences and Engineering; Graduate School of Sciences and Engineering; 113507; N/A; N/A
    Epidemic or gossip-based mechanisms are preferred in several distributed protocols for their ease of deployment, simplicity, robustness against failures, load-balancing and limited resource usage. In flat neighborhood epidemics, peers have similar responsibilities and all participate in gossiping via neighboring peers. We have proposed an energy cost model for a generic peer using flat neighborhood epidemics, and examined the effect of protocol parameters to characterize energy consumption. Although it has been shown that a peers power consumption amount is independent of population size, peers always need to be active to process incoming gossip messages. In this study, we consider power awareness features of flat and hierarchical epidemics in peer-to-peer (P2P) systems, and propose a power-aware hierarchical epidemic approach with its energy cost model and analysis. In this adaptive approach, only a subset of peer population is active in gossiping by forming an overlay, so that the other peers can switch to idle state. It also allows data aggregation that can be utilized to reduce gossip message size. As a case study for epidemic protocol, we use our approach and simulation model for frequent item set discovery in unstructured P2P networks.