Factors for Search Methods Scalability

Research output: Chapter in Book/Report/Published conference proceedingChapter

Abstract

Scalability of systems performance becomes a challenge for modern digital systems. Achievement of system ability to complete wide range of tasks in terms of computational performance and effective use of resources require substantial research. Significant efforts are directed towards design of large scale hardware systems. However resolving scalable tasks require also scalable software capable of completion both many small simple tasks and large complex tasks using effectively available hardware, energy and time. This article discusses factors for successful search and optimisation in particular search methods scalability. Discussion is illustrated with an overview of publications.
Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Subtitle of host publicationNumerical Methods and Applications. NMA 2018
EditorsGeno Nikolov, Natalia Kolkovska, Krassimir Georgiev
Place of PublicationCham, Switzerlang
PublisherSpringer Nature
Pages142-149
Number of pages8
Volume11189
Edition1
ISBN (Electronic)978-3-030-10692-8
ISBN (Print)978-3-030-10691-1
DOIs
Publication statusPublished - 18 Jan 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11189 LNCS

Fingerprint Dive into the research topics of 'Factors for Search Methods Scalability'. Together they form a unique fingerprint.

  • Profiles

    Cite this

    Penev, K. (2019). Factors for Search Methods Scalability. In G. Nikolov, N. Kolkovska, & K. Georgiev (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Numerical Methods and Applications. NMA 2018 (1 ed., Vol. 11189, pp. 142-149). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11189 LNCS). Springer Nature. https://doi.org/10.1007/978-3-030-10692-8_16