Dzmitry Kliazovich


Research Fellow, PhD
University of Luxembourg
6, rue Richard Coudenhove-Kalergi, L-1359 Luxembourg
Tel : +352 46 6644 5441
Email: email

Dzmitry Kliazovich is a Research Fellow at the Faculty of Science, Technology, and Communication of the University of Luxembourg. He holds an award-winning Ph.D. in Information and Telecommunication Technologies from the University of Trento (Italy) and a large number of scientific awards, mainly from the IEEE Communications Society and European Research Consortium for Informatics and Mathematics (ERCIM). He chaired a number of highly ranked international conferences and symposia at the IEEE flagship ICC and GLOBECOM.

Dr. Kliazovich is the author of more than 100 research papers. He is the Associate Editor of the IEEE Communications Surveys and Tutorials and of the IEEE Transactions of Cloud Computing journals. He is a Vice Chair of the IEEE ComSoc Technical Committee on Communications Systems Integration and Modeling. Dr. Kliazovich is a coordinator and principal investigator of the Energy-Efficient Cloud Computing and Communications initiative funded by the National Research Fund of Luxembourg.

Research Interests

  • Mobile Cloud/Edge Computing
  • Internet of Things (IoT)
  • Next Generation Networking
  • Big Data Systems and Analytics
  • Energy-Efficient Datacenters and Networks

Ongoing Research Projects

    Energy-Efficient Communications in Cloud Computing
    The ECO-CLOUD project aims to provide an integrated solution to the autonomous energy-efficient management of communication networks and processes in a cloud computing environment. Particularly, the ECO-CLOUD project will develop a framework of novel techniques and deliver efficient solutions, in the form of prototype software, for optimization of performance and energy-efficiency in (a) network hardware (switches, routers and links), (b) data center communication systems, and (c) communication protocols. In addition, new metrics for assessing the energy efficiency and performance of cloud computing communication systems will be developed and proposed for standardization.

    More information at

  • IShOP
    Internet Shopping Optimisation Project
    This project proposes innovative and realistic models for different typical online shopping operations, supported by strong mathematical and operational research fundamentals, and well balanced with lightweight computational algorithms. These models are designed in order to allow the optimization of such transactions. Finding accurate solutions to the defined problems implies both lowering customer expenses and favouring market competitiveness.

    One of the main aims of this project is to model and formulate new advanced and realistic flavours of the Internet Shopping Optimization Problem (IShOP), considering discounts and additional conditions like price sensitive shipping costs, incomplete offers from shops, or the minimization of the total realization time, price, and delivery time functions, among others. The models will be mathematically and theoretically well founded. Moreover, the challenge of defining and addressing a multi-criteria version of the problem will be addressed too. Other important contributions will be the mapping of ISOP to other new challenges. One of them is the design of a novel business model for cloud brokering that will benefit both cloud providers and consumers. Providers will be able to easily offer their large number of services, and to get a fast answer from the market to offers (e.g., when infrastructure is under-utilized). Additionally, customers will easily benefit from offers and find the most appropriate deals for his/her needs (according to service level agreements, pricing, performance, etc.). Modelling some of these aspects and coupling it with an optimization tool for the brokering of cloud services among various providers would be a key contribution to the field.

    A wide set of optimization algorithms will be designed and developed for the addressed problems. They include from fast lightweight specialized heuristics to highly accurate parallel and multi-objective population-based metaheuristics. They all will be embedded in a software framework for their practical applications, and validation.

    More information at:

Software Tools

  • GreenCloud
    The GreenCloud Simulator
    Greencloud is a sophisticated packet-level simulator for energy-aware cloud computing data centers with a focus on cloud communications. It offers a detailed fine-grained modeling of the energy consumed by the data center IT equipment, such as computing servers, network switches, and communication links.

    GreenCloud can be used to develop novel solutions in monitoring, resource allocation, workload scheduling as well as optimization of communication protocols and network infrastructures. It is released under the General Public License Agreement and is an extension of the well-known NS2 network simulator.

    Greencloud as been elaborated in the context of the GreenIT and ECO-CLOUD projects.

    For more information and download visit