Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/29878
DC FieldValueLanguage
dc.contributor.authorLucas Filho, Edson Ramiro-
dc.contributor.authorOdysseos, Lambros-
dc.contributor.authorLun, Yang-
dc.contributor.authorKebo, Fu-
dc.contributor.authorHerodotou, Herodotos-
dc.date.accessioned2023-07-14T11:28:51Z-
dc.date.available2023-07-14T11:28:51Z-
dc.date.issued2022-12-01-
dc.identifier.citationInfocommunications Journal, 2022, vol. 14, iss. 4, pp. 18 - 25en_US
dc.identifier.issn20612079-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/29878-
dc.description.abstractThis paper presents DITIS, a simulator for distributed and tiered file-based storage systems. In particular, DITIS can model a distributed storage system with up to three levels of storage tiers and up to three additional levels of caches. Each tier and cache can be configured with different number and type of storage media devices (e.g., HDD, SSD, NVRAM, DRAM), each with their own performance characteristics. The simulator utilizes the provided characteristics in fine-grained performance cost models (which are distinct for each device type) in order to compute the duration time of each I/O request processed on each tier. At the same time, DITIS simulates the overall flow of requests through the different layers and storage nodes of the system using numerous pluggable policies that control every aspect of execution, ranging from request routing and data redundancy to cache and tiering strategies. For performing the simulation, DITIS adapts an extended version of the Actor Model, during which key components of the system exchange asynchronous messages with each other, much like a real distributed multi-threaded system. The ability to simulate the execution of a workload in such an accurate and realistic way brings multiple benefits for its users, since DITIS can be used to better understand the behavior of the underlying file system as well as evaluate different storage setups and policies.en_US
dc.language.isoenen_US
dc.relation.ispartofInfocommunications Journalen_US
dc.rights© Elsevier B.V.en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectDistributed Data Storageen_US
dc.subjectPerformance Cost Modelsen_US
dc.subjectStorage Simulatoren_US
dc.subjectTiered Storageen_US
dc.titleDITIS: A Distributed Tiered Storage Simulatoren_US
dc.typeArticleen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationHuawei Technologies Co.en_US
dc.subject.categoryElectrical Engineering - Electronic Engineering - Information Engineeringen_US
dc.journalsSubscriptionen_US
dc.countryChinaen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.36244/ICJ.2022.4.3en_US
dc.identifier.scopus2-s2.0-85147034842-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85147034842-
dc.relation.issue4en_US
dc.relation.volume14en_US
cut.common.academicyear2022-2023en_US
dc.identifier.spage18en_US
dc.identifier.epage25en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.openairetypearticle-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-8717-1691-
crisitem.author.parentorgFaculty of Engineering and Technology-
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