Browsing by Subject "QoS"

Now showing 1 - 13 of 13

Access status: Open Access ,
A toolkit for storage QoS provisioning for data-intensive applications
(Wydawnictwa AGH, 2012) Słota, Renata; Król, Dariusz; Skałkowski, Kornel; Orzechowski, Michał; Nikolow, Darin; Kryza, Bartosz; Wrzeszcz, Michał; Kitowski, Jacek
This paper describes a programming toolkit developed in the PL-Grid project, named QStorMan, which supports storage QoS provisioning for data-intensive applications in distributed environments. QStorMan exploits knowledgeoriented methods for matching storage resources to non-functional requirements, which are defined for a data-intensive application. In order to support various usage scenarios, QStorMan provides two interfaces, such as programming libraries or a web portal. The interfaces allow to define the requirements either directly in an application source code or by using an intuitive graphical interface. The first way provides finer granularity, e.g., each portion of data processed by an application can define a different set of requirements. The second method is aimed at legacy applications support, which source code can not be modified. The toolkit has been evaluated using synthetic benchmarks and the production infrastructure of PL-Grid, in particular its storage infrastructure, which utilizes the Lustre file system.
Access status: Restricted ,
An automation of equipment configuration and traffic management for MPLS network
(Data obrony: 2020-01-20) Głaz, Magdalena
Wydział Informatyki, Elektroniki i Telekomunikacji
Access status: Restricted ,
Analiza możliwości świadczenia usługi wideo w sieci standardu IEEE 802.11aa
(Data obrony: 2019-10-25) Ciepał, Magdalena
Wydział Informatyki, Elektroniki i Telekomunikacji
Access status: Restricted ,
Analiza porównawcza mechanizmów gwarantowania jakości w światłowodowych sieciach dostępu abonenckiego
(Data obrony: 2019-09-27) Gomółka, Marcin
Wydział Informatyki, Elektroniki i Telekomunikacji
Access status: Restricted ,
Analiza sposobów zapewnienia gwarancji jakości obsługi ruchu w sieciach IP/MPLS
(Data obrony: 2021-01-25) Rusin, Małgorzata
Wydział Informatyki, Elektroniki i Telekomunikacji
Access status: Restricted ,
Analiza świadczenia usług z określoną jakością w sieciach standardu IEEE 802.11ax
(Data obrony: 2021-01-25) Bieryt, Natalia
Wydział Informatyki, Elektroniki i Telekomunikacji
Access status: Restricted ,
Analiza wpływu ataków DoS na QoS w sieciach LAN
(Data obrony: 2019-09-27) Flak, Dominika
Wydział Informatyki, Elektroniki i Telekomunikacji
Access status: Open Access ,
Congestion control in flow-aware networks
(Data obrony: 2009-06-29) Domżał, Jerzy
Wydział Elektrotechniki, Automatyki, Informatyki i Elektroniki
The congestion control mechanisms for Flow-Aware Networks are presented in the dissertation. The research was performed for four proposals, the EFM (Enhanced Flushing Mechanism), the RAEF (Remove Active Elastic Flows), the RBAEF (Remove and Block Active Elastic Flows) and the RPAEF (Remove and Prioritize in access Active Elastic Flows) mechanisms. The idea of all presented congestion control mechanisms is similar and relies on total or partial cleaning of the PFL (Protected Flow List) content in the MBAC (Measurement Based Admission Control) block in congestion. The main goal of the proposed solutions is to minimize the acceptance time of new streaming flows in FAN routers. The streaming transmission in FAN is proposed for low traffic consuming applications with demands on low packet delays and loss. The congestion control mechanisms for FAN, proposed in the dissertation are described in details and analyzed by simulation experiments run on the ns-2 simulator. The obtained results show the advantages of the new solutions. The second part of the dissertation presents the new proposal of realizing the FAN concept. In this solution, the algorithm for random dropping of packets from the queue in congestion is used. It is implemented based on the AFD(Approximate Fair Dropping) mechanism. The new proposal is less complex than two well known FAN versions.
Access status: Restricted ,
Porównanie świadczenia QoS w sieciach IEEE 802.11 dla usług symulowanych i emulowanych
(Data obrony: 2020-09-29) Bryl, Jakub
Wydział Informatyki, Elektroniki i Telekomunikacji
Access status: Restricted ,
Predicting QoS violation in .Net-based microservices applications
(Data obrony: 2020-10-30) Fic, Michał
Wydział Informatyki, Elektroniki i Telekomunikacji
Access status: Open Access ,
Resource storage management model for ensuring quality of service in the cloud archive systems
(Wydawnictwa AGH, 2014) Kapanowski, Mariusz; Słota, Renata; Kitowski, Jacek
Nowadays, service providers offer a lot of IT services in the public or private cloud. Clients can buy various kinds of services, such as SaaS, PaaS, etc. Recently, Backup as a Service (BaaS), a variety of SaaS, was introduced there. At the moment, there are several different BaaS’s available to archive data in the cloud, but they provide only a basic level of service quality. In this paper, we propose a model which ensures QoS for BaaS and some methods for management of storage resources aimed at achieving the required SLA.This model introduces a set of parameters responsible for an SLA level which can be offered at the basic or higher level of quality. The storage systems (typically HSM), which are distributed between several Data Centers, are built based on disk arrays, VTL’s, and tape libraries. The RSMM model does not assume bandwidth reservation or control, but rather is focused on management of storage resources.
Access status: Open Access ,
SARED: self-adaptive active queue management scheme for improving quality of service in network systems
(Wydawnictwa AGH, 2021) Adamu, Aminu; Surajo, Yusuf; Jafar, Muhammad T.
Considering the phenomenal growth of network systems, congestion remains a threat to the quality of the service provided in such systems, hence, research on congestion control is still relevant. The Internet research community regards active queue management (AQM) as an effective approach for addressing congestion in network systems. Most of the existing AQM schemes possess static drop patterns and lack a self-adaptation mechanism, as such they do not work well for networks where the traffic load fluctuates. This paper proposes a self-adaptive random early detection (SARED) scheme that smartly adapts its drop pattern based on a current network’s traffic load in order to maintain improved and stable performance. Under light- to moderate-load conditions, SARED operates in nonlinear modes in order to maximize utilization and throughput, while it switches to a linear mode in order to avoid forced drops and congestion under high-load conditions. Our conducted experiments revealed that SARED provides optimal performance regardless of the condition of the traffic load.
Access status: Restricted ,
Sieć korporacyjna z użyciem techniki DMVPN i elementów QoS
(Data obrony: 2021-01-22) Bugaj, Damian
Wydział Informatyki, Elektroniki i Telekomunikacji