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Subject: search.filters.subject.Cloud computing

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    CBWO: a novel load balancing technique for cloud computing systems
    (Institute of Electrical and Electronics Engineers Inc., 2024) Department of Computer Engineering; Hayyolalam, Vahideh; Özkasap, Öznur; Department of Computer Engineering; Graduate School of Sciences and Engineering; College of Engineering
    Cloud computing systems offer various services to different groups of users. Providing pay-as-demand facilities, cloud systems enable hosting persistent services, and thanks to the scalability, dynamicity, and distributed features, cloud computing is improving as an essential technology in transforming into digitally connected systems. However, increasing demands for various applications and services through the cloud contribute to inequality in resource allocation and imbalanced workload distribution. This paper proposes a new approach to cope with load-balancing issues in cloud computing environments, using the Chaotic-based Black Widow Optimization (CBWO) method. CloudSim is adopted as our simulation tool. The experimental results prove the superiority of the proposed approach in terms of makespan (67.28% average improvement), imbalance degree, and task completion time. © 2024 IEEE.
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    Design and analysis of plasmonic nanoantennas with ground plane and impedance matching
    (Koç University, 2016) Afridi, Adeel; Özkasap, Öznur; 0000-0003-4343-0986; Koç University Graduate School of Sciences and Engineering; Electrical and Electronics Engineering; 113507
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    Reliable cloud storage using hierarchical authenticated data structures
    (Koç University, 2015) Etemad, Mohammad; Küpçü, Alptekin; 0000-0003-2099-2206; Koç University Graduate School of Sciences and Engineering; Computer Science and Engineering; 168060
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    SEALA: secure, efficient, availability and locality aware peer to peer cloud storage platform as a service
    (Koç University, 2019) Nazarabadi, Yahya Hassanzadeh; Özkasap, Öznur; Küpçü, Alptekin; 0000-0003-4343-0986; 0000-0003-2099-2206; Koç University Graduate School of Sciences and Engineering; Computer Science and Engineering; 113507; 168060