Bilgisayar Mühendisliği Bölümü Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.11779/1940

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Institution Author: search.filters.institutionAuthor.Arslan, Şuayb ŞefikPublisher: search.filters.publisher.Institute of Electrical and Electronics Engineers Inc.

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  • Conference Object
    Citation - WoS: 4
    Citation - Scopus: 4
    Cost of Guessing: Applications To Data Repair
    (Institute of Electrical and Electronics Engineers Inc., 2020) Arslan, Şuayb Şefik; Arslan, Şefik Şuayb; 02.02. Department of Computer Engineering; 02. Faculty of Engineering; 01. MEF University
    In this paper, we introduce the notion of cost of guessing and provide an optimal strategy for guessing a random variable taking values on a finite set whereby each choice may be associated with a positive finite cost value. Moreover, we drive asymptotically tight upper and lower bounds on the moments of cost of guessing problem. Similar to previous studies on the standard guesswork, established bounds on moments quantify the accumulated cost of guesses required for correctly identifying the unknown choice and are expressed in terms of the Rényi's entropy. A new random variable is introduced to bridge between cost of guessing and the standard guesswork and establish the guessing cost exponent on the moments of the optimal guessing. Furthermore, these bounds are shown to serve quite useful for finding repair latency cost for distributed data storage in which sparse graph codes may be utilized.
  • Conference Object
    Next-Generation Data Storage: Transistor and Dna
    (Institute of Electrical and Electronics Engineers Inc., 2018) Pusane, Ali E.; Arslan, Şefik Şuayb; Arslan, Şuayb Şefik; Ashrafi, Reza A.; 02.02. Department of Computer Engineering; 02. Faculty of Engineering; 01. MEF University
    With the generation of diverse data growing at exponential rates, investigating better digital storage media is inevitable. Currently, one solution is the utilization of solid-state based memory devices, which offer several desirable characteristics, including very fast write/read operations, scalability, and reduced fabrication costs. However, with the increased need for long term and large storage space, their data retention capabilities drastically decline. Another emerging storage technology on the horizon is the biotechnological based DNA storage, which renders a phenomenal storage capacities. In this paper, basics of these two promising storage technologies are reviewed and their potential future trends are discussed. © 2018 IEEE.