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Load Balancing in OpenFlow Networks
Marciniak, Petr ; Ryšavý, Ondřej (referee) ; Grégr, Matěj (advisor)
The aim of this thesis is to develop a load balancing tool for OpenFlow networks. Software-defined networking (SDN) principles are introduced (OpenFlow protocol used as an example) and compared to the legacy routing and switching technology. Openflow is the first protocol/API enabling communication between the control and infrastructure planes of the software-defined networking model. Key features of the protocol are described and several OpenFlow controllers are introduced. Current best practices in computer networks load balancing are discussed as well. The load balancing application development process is described including the test laboratory setups - Mininet (SW) and OFELIA (HW). The application test results are evaluated and possible further enhancements to the program are discussed.
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Balancing Keyword-Based Data and Queries in Distributed Storage Systems
Wirth, Martin ; Parízek, Pavel (advisor) ; Zavoral, Filip (referee)
Research in the area of load balancing in distributed systems has not yet come with an optimal load balancing technique. Existing approaches work primarily with replication and sharding. This thesis overviews existing knowledge in this area with focus on shard- ing, and provides an experiment comparing a state-of-the-art load balancing technique called Weighed-Move with a random baseline and an existing domain-specific balancing implementation. As a significant part of the project, we engineered a generic and scal- able load balancer that may be used in any distributed system and deployed it into an existing ad system called Sklik. The major challenges appeared to be tackling various problems related to data consistency, performance and synchronization, together with solving compatibility issues with the rest of the still-evolving ad system. Our experiment shows that the domain-specific load balancing implementation produces data distribution that enables better performance, but Weighed-Move proved to have a great potential and its results are expected to be enhanced by further work on our implementation. 1
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Návrh loadbalancingu a firewallové politiky pro aplikační servery ve veřejném cloudu
Zostal, Jakub
The goal of the bachelor thesis is to propose a loadbalancing and a firewall policy for application servers in a public cloud. In this thesis, various available options for loadbalancing and operation filtering are presented and introduced. Furthermore, there is analyzed the current solution of a network infrastructure and a proposal of its modification with an assistance of the loadbalancing and firewall policy. Accordingly, the adjusted network infrastructure is tested in a laboratory environment.
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Load Balancing in Evaluation Systems for Programming Assignments
Buchar, Jan ; Kruliš, Martin (advisor) ; Tůma, Petr (referee)
Systems for automated evaluation of assignments are a valuable aid for both teachers of programming courses and their students. The objective of this thesis is to examine the possibilities of deploying such systems in a large-scale distributed environment and the challenges of such endeavors. A sizable part of the requirements comes from experience with ReCodEx - an assignment evaluation system developed at the department of the supervisor. Modern server multi-core processors provide considerable computing power that can be used for assignment evaluation. However, parallel measurements can interfere with each other. This causes unstable results, which detriments the fairness of grading. Isolation (sandboxing) technologies can cause similar effects. We measure both of these influences and use the results to determine to what degree can multi-core processors be exploited. The problem of efficient distribution of work between multiple evaluation workers is complementary to that of utilizing multi-core machines. We survey scheduling algorithms and design an experiment to compare their performance. Additionally, we examine the possibility of leveraging container technologies to simplify the deployment of software required for evaluation. This leads to both a smaller administration overhead and a less complex...
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Analyzujte možnosti aplikace strojového učení na load-balancing
Sýkora, Jan ; Pecinovský, Rudolf (advisor) ; Šlajchrt, Zbyněk (referee)
Both machine learning and HTTP load balancing are well known and widely researched concepts and methods. My diploma thesis addresses possible applications of machine learning to HTTP load balancing. The main objective is to find a method to achieve better utilization of load balancing. This objective can reduce monetary costs and provide better stability of a load balanced system. In the first part, machine learning workflow and methods are described in order to analyze whether such methods could be applied to load balancing systems. After that, the current state of HTTP load balancing methods and strategies is outlined. Finally, a load balancing method using machine learning is designed and tested. The method is based on the least loaded approach using predicted values to balance HTTP traffic, the machine learning models were selected by using a grid search to find the most accurate models. These meth-ods were tested and performed well in comparison to other methods. The tests were conducted with over a hundred machine learning models, not all models were accurate or had short enough learning times. Lacking those factors deemed them unsuitable for later tests. The models were compared based on measured utilization and performance metrics for regression based machine learning models. The designed method could be applied to real world systems, however, it would require defining a domain specific metric. The applications should also employ a grid search in order to find the most accurate machine learning model.
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Load Balancing in OpenFlow Networks
Marciniak, Petr ; Ryšavý, Ondřej (referee) ; Grégr, Matěj (advisor)
The aim of this thesis is to develop a load balancing tool for OpenFlow networks. Software-defined networking (SDN) principles are introduced (OpenFlow protocol used as an example) and compared to the legacy routing and switching technology. Openflow is the first protocol/API enabling communication between the control and infrastructure planes of the software-defined networking model. Key features of the protocol are described and several OpenFlow controllers are introduced. Current best practices in computer networks load balancing are discussed as well. The load balancing application development process is described including the test laboratory setups - Mininet (SW) and OFELIA (HW). The application test results are evaluated and possible further enhancements to the program are discussed.
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Methodology of optimal usage of load balancing in data center environment
Nidl, Michal ; Gála, Libor (advisor) ; Hořejš, Jan (referee)
The following master thesis is focused on creation of methodology for optimal usage of load balancing in data center environment. Thesis is divided into eight chapters. The first chapter describes the reasons why to deal with this topic further. The second chapter summarizes the state of load balancing. This chapter is based on research of already elaborated thesis which were focused on load balancing in different ways. The third chapter summarizes load balancing including its key principles. The fourth chapter describes an actual state of load balancing in data center environment. An observation of real usage of load balancing in selected data center was used for the main purpose of this chapter. The fifth chapter consists of analysis of the currently existing methodologies which are used from the infrastructure projects purpose. The sixth chapter deals with creation of methodology for optimal usage of load balancing in data center. The seventh chapter evaluates usage of methodology by applying of this methodology to real practical example of implementation of load balancing. The eighth chapter summarizes all detected conclusions.
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