Výsledky vyhledávání - "Dimiter R. Avresky"

Autonomic Rejuvenation of Cloud Applications as a Countermeasure to Software Anomalies

Autor: Pierangelo Di Sanzo, Alessandro Pellegrini, Dimiter R. Avresky

Failures in computer systems can be often tracked down to software anomalies of various kinds. In many scenarios, it could be difficult, unfeasible, or unprofitable to carry out extensive debugging activity to spot the causes of anomalies and remove

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5232193b61d5791a78b0b2d6042f9e6
http://hdl.handle.net/11573/1437757

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Using LSTM Neural Network for Time Series Predictions in Financial Markets

Autor: Svetoslav Zhelev, Dimiter R. Avresky

Publikováno v: NCA

The article will test if Long Short Term Memory (LSTM) neural networks are suitable for high frequency foreign exchange (forex) trading. Major world currencies often correlate and affect each other. We will try to take advantage and we will feed time

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3c412bc4da2f619a64a0e5777152a999
https://doi.org/10.1109/nca.2019.8935009

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Comparison of SDN Controllers for Constructing Security Functions

Autor: Dobrin Dobrev, Dimiter R. Avresky

Publikováno v: NCA

The comparison analyses in this paper is based on Virtual Security Functions, Openflow, Software Define Networks (SDN), Mininet, Pox Controller, Floodlight Controller and Virtual Switches. By using Openflow protocol in the virtualized environment of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7d77ed02381ec1033787b9a9836fad51
https://doi.org/10.1109/nca.2019.8935053

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Machine learning-based management of cloud applications in hybrid clouds: a hadoop case study

Autor: Alessandro Pellegrini, Dimiter R. Avresky, Pierangelo Di Sanzo

Publikováno v: NCA

This paper illustrates the effort to integrate a machine learning-based framework which can predict the remaining time to failure of computing nodes with Hadoop applications. This work is part of a larger effort targeting the development of a cloud-o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b98d6c625f5f710ebfc35f38f98f96c
https://hdl.handle.net/11590/428157

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Analysis of Adaptive Mapping of Parallelized Application on Multicore System

Autor: Giiles Bizot, Fabien Chaix, Dimiter R. Avresky

Publikováno v: IPDPS Workshops

In previous publications, a self-recovering strategy ([1]), which is able to "re-map" dynamically application tasks on a multi-core system, was presented. Based on run-time failure aware techniques, this Self-Recovering strategy guarantees seamlessly

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::45b8ddc0a688e1c0d0ba75850d79e608
https://doi.org/10.1109/ipdpsw.2016.150

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Adaptive inter-layer message routing in 3D networks-on-chip

Autor: Lorena Anghel, Claudia Rusu, Dimiter R. Avresky

Publikováno v: Microprocessors and Microsystems: Embedded Hardware Design (MICPRO)
Microprocessors and Microsystems: Embedded Hardware Design (MICPRO), Elsevier, 2011, 35 (7), pp.613-631. ⟨10.1016/j.micpro.2011.06.008⟩

International audience; Existing routing algorithms for 3D deal with regular mesh/torus 3D topologies. Today 3D NoCs are quite irregular, especially those with heterogeneous layers. In this paper, we present a routing algorithm targeting 3D networks-

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f70e72905ff1b4a06a75d4292d03c50
https://doi.org/10.1016/j.micpro.2011.06.008

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Proactive cloud management for highly heterogeneous multi-cloud infrastructures

Autor: Dimiter R. Avresky, Alessandro Pellegrini, Pierangelo Di Sanzo

Publikováno v: IPDPS Workshops

Various literature studies demonstrated that the cloud computing paradigm can help to improve availability and performance of applications subject to the problem of software anomalies. Indeed, the cloud resource provisioning model enables users to ra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20218f3017d442349fa8579ecff5ed14
http://hdl.handle.net/11573/931693

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DPDNS Introduction and Committees

Autor: Anastassios Nanos, Erik Maehle, Nectarios Koziris, Dimiter R. Avresky

Publikováno v: IPDPS Workshops

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e353644c146da5e561a3c11ebda63a9
https://doi.org/10.1109/ipdpsw.2015.168

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A Machine Learning-based Framework for Building Application Failure Prediction Models

Autor: Alessandro Pellegrini, Dimiter R. Avresky, Pierangelo Di Sanzo

Publikováno v: IPDPS Workshops

In this paper, we present the Framework for building Failure Prediction Models (F2PM), a Machine Learning-based Framework to build models for predicting the Remaining Time to Failure (RTTF) of applications in the presence of software anomalies. F2PM

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54c91d348645a3075ff84cd30d3bd4e2
http://hdl.handle.net/11573/847753

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Proactive Scalability and Management of Resources in Hybrid Clouds via Machine Learning

Autor: Bruno Ciciani, Pierangelo Di Sanzo, Luca Forte, Alessandro Pellegrini, Dimiter R. Avresky

Publikováno v: NCA

In this paper, we present a novel framework for supporting the management and optimization of application subject to software anomalies and deployed on large scale cloud architectures, composed of different geographically distributed cloud regions. T

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfa250a94a5d25835aea8b00a65ffaeb
http://hdl.handle.net/11573/847748

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