A. Bąk - Academia.edu (original) (raw)
Papers by A. Bąk
Lecture Notes in Computer Science, 2001
J. Telecommun. Inform. …, 2002
The IP QoS networks have gained recently a significant at-tention. The future Internet architectu... more The IP QoS networks have gained recently a significant at-tention. The future Internet architecture will have to offer QoS as well as keep its current advantages of scalability and simplicity. The differentiated service (DiffServ) archi-tecture [1, 2] is considered to be a promising ...
The Bluetooth Low Energy (BLE) MESH network technology gains popularity in low duty IoT systems. ... more The Bluetooth Low Energy (BLE) MESH network technology gains popularity in low duty IoT systems. Its advantage is a low energy consumption that enables long lifetime of IoT systems. The paper proposes and evaluates new MRT management methods, i.e. exact and heuristic, that improves energy efficiency of BLE MESH network by minimizing the number of active relay nodes. The performed experiments confirm efficiency of the MRT methods resulting in significantly lower energy consumption of BLE MESH network.
Computer Communications, 2003
The paper describes the traffic handling mechanisms implemented in the AQUILA pilot QoS IP networ... more The paper describes the traffic handling mechanisms implemented in the AQUILA pilot QoS IP network [AQUILA Project Consortium (2001)]. The AQUILA architecture enhances the DiffServ concept [A Conceptual Model for DiffServ Routers (2000), An Architecture for Differentiated Services (1998), An Expedited Forwarding PHB (2001)] by adding new functionality for admission control and resource management as well as by defining new set of Network Services (NSs). Each NS is optimised for specific type of traffic (e.g. reactive and nonreactive) and has its own traffic handling mechanisms. The mentioned mechanisms operate at different time scales, ranging from longmedium term resources management (provisioning, resource pools) to flow level admission control, down to packet level scheduling and queuing management. Some of these mechanisms are related to NSs: in particular each NS is associated to a set of traffic handling algorithms at flow and packet level, collectively referred to as Traffic Classes (TCLs). This paper describes the set of traffic handling mechanisms defined in AQUILA, with a special focus on the implementation of TCLs, both at packet and flow level. In particular the scheduling/queuing and admission control schemes for each TCL are presented. Exemplary measurement results verifying the effectiveness of AQUILA approach for providing Quality of Service (QoS) guarantees and QoS differentiation are also included.
Computer Communications, 2003
The paper describes the traffic handling mechanisms implemented in the AQUILA pilot QoS IP networ... more The paper describes the traffic handling mechanisms implemented in the AQUILA pilot QoS IP network [AQUILA Project Consortium (2001)]. The AQUILA architecture enhances the DiffServ concept [A Conceptual Model for DiffServ Routers (2000), An Architecture for Differentiated Services (1998), An Expedited Forwarding PHB (2001)] by adding new functionality for admission control and resource management as well as by defining new set of Network Services (NSs). Each NS is optimised for specific type of traffic (e.g. reactive and nonreactive) and has its own traffic handling mechanisms. The mentioned mechanisms operate at different time scales, ranging from longmedium term resources management (provisioning, resource pools) to flow level admission control, down to packet level scheduling and queuing management. Some of these mechanisms are related to NSs: in particular each NS is associated to a set of traffic handling algorithms at flow and packet level, collectively referred to as Traffic Classes (TCLs). This paper describes the set of traffic handling mechanisms defined in AQUILA, with a special focus on the implementation of TCLs, both at packet and flow level. In particular the scheduling/queuing and admission control schemes for each TCL are presented. Exemplary measurement results verifying the effectiveness of AQUILA approach for providing Quality of Service (QoS) guarantees and QoS differentiation are also included. q 2002 Published by Elsevier Science B.V.
The paper describes the traffic handling mechanisms implemented In the AQUILA pilot QoS IP networ... more The paper describes the traffic handling mechanisms implemented In the AQUILA pilot QoS IP network [10]. The AQUILA project enhances The DiffServ architecture concept [1,2,3] by adding new functionality for Admission control and resource management as well as by defining new set of network services. Each network service is optimised for specific type of traffic (e.g. non-reactive and reactive) and has its own traffic handling mechanisms. Exemplary measurement results verifying the effectiveness of AQUILA approach for providing QoS are also included.
Computer Communications, 2003
The paper describes the traffic handling mechanisms implemented in the AQUILA pilot QoS IP networ... more The paper describes the traffic handling mechanisms implemented in the AQUILA pilot QoS IP network [AQUILA Project Consortium (2001)]. The AQUILA architecture enhances the DiffServ concept [A Conceptual Model for DiffServ Routers (2000), An Architecture for Differentiated Services (1998), An Expedited Forwarding PHB (2001)] by adding new functionality for admission control and resource management as well as by defining new set of Network Services (NSs). Each NS is optimised for specific type of traffic (e.g. reactive and nonreactive) and has its own traffic handling mechanisms. The mentioned mechanisms operate at different time scales, ranging from longmedium term resources management (provisioning, resource pools) to flow level admission control, down to packet level scheduling and queuing management. Some of these mechanisms are related to NSs: in particular each NS is associated to a set of traffic handling algorithms at flow and packet level, collectively referred to as Traffic Classes (TCLs). This paper describes the set of traffic handling mechanisms defined in AQUILA, with a special focus on the implementation of TCLs, both at packet and flow level. In particular the scheduling/queuing and admission control schemes for each TCL are presented. Exemplary measurement results verifying the effectiveness of AQUILA approach for providing Quality of Service (QoS) guarantees and QoS differentiation are also included. q 2002 Published by Elsevier Science B.V.
Lecture Notes in Computer Science, 2001
J. Telecommun. Inform. …, 2002
The IP QoS networks have gained recently a significant at-tention. The future Internet architectu... more The IP QoS networks have gained recently a significant at-tention. The future Internet architecture will have to offer QoS as well as keep its current advantages of scalability and simplicity. The differentiated service (DiffServ) archi-tecture [1, 2] is considered to be a promising ...
The Bluetooth Low Energy (BLE) MESH network technology gains popularity in low duty IoT systems. ... more The Bluetooth Low Energy (BLE) MESH network technology gains popularity in low duty IoT systems. Its advantage is a low energy consumption that enables long lifetime of IoT systems. The paper proposes and evaluates new MRT management methods, i.e. exact and heuristic, that improves energy efficiency of BLE MESH network by minimizing the number of active relay nodes. The performed experiments confirm efficiency of the MRT methods resulting in significantly lower energy consumption of BLE MESH network.
Computer Communications, 2003
The paper describes the traffic handling mechanisms implemented in the AQUILA pilot QoS IP networ... more The paper describes the traffic handling mechanisms implemented in the AQUILA pilot QoS IP network [AQUILA Project Consortium (2001)]. The AQUILA architecture enhances the DiffServ concept [A Conceptual Model for DiffServ Routers (2000), An Architecture for Differentiated Services (1998), An Expedited Forwarding PHB (2001)] by adding new functionality for admission control and resource management as well as by defining new set of Network Services (NSs). Each NS is optimised for specific type of traffic (e.g. reactive and nonreactive) and has its own traffic handling mechanisms. The mentioned mechanisms operate at different time scales, ranging from longmedium term resources management (provisioning, resource pools) to flow level admission control, down to packet level scheduling and queuing management. Some of these mechanisms are related to NSs: in particular each NS is associated to a set of traffic handling algorithms at flow and packet level, collectively referred to as Traffic Classes (TCLs). This paper describes the set of traffic handling mechanisms defined in AQUILA, with a special focus on the implementation of TCLs, both at packet and flow level. In particular the scheduling/queuing and admission control schemes for each TCL are presented. Exemplary measurement results verifying the effectiveness of AQUILA approach for providing Quality of Service (QoS) guarantees and QoS differentiation are also included.
Computer Communications, 2003
The paper describes the traffic handling mechanisms implemented in the AQUILA pilot QoS IP networ... more The paper describes the traffic handling mechanisms implemented in the AQUILA pilot QoS IP network [AQUILA Project Consortium (2001)]. The AQUILA architecture enhances the DiffServ concept [A Conceptual Model for DiffServ Routers (2000), An Architecture for Differentiated Services (1998), An Expedited Forwarding PHB (2001)] by adding new functionality for admission control and resource management as well as by defining new set of Network Services (NSs). Each NS is optimised for specific type of traffic (e.g. reactive and nonreactive) and has its own traffic handling mechanisms. The mentioned mechanisms operate at different time scales, ranging from longmedium term resources management (provisioning, resource pools) to flow level admission control, down to packet level scheduling and queuing management. Some of these mechanisms are related to NSs: in particular each NS is associated to a set of traffic handling algorithms at flow and packet level, collectively referred to as Traffic Classes (TCLs). This paper describes the set of traffic handling mechanisms defined in AQUILA, with a special focus on the implementation of TCLs, both at packet and flow level. In particular the scheduling/queuing and admission control schemes for each TCL are presented. Exemplary measurement results verifying the effectiveness of AQUILA approach for providing Quality of Service (QoS) guarantees and QoS differentiation are also included. q 2002 Published by Elsevier Science B.V.
The paper describes the traffic handling mechanisms implemented In the AQUILA pilot QoS IP networ... more The paper describes the traffic handling mechanisms implemented In the AQUILA pilot QoS IP network [10]. The AQUILA project enhances The DiffServ architecture concept [1,2,3] by adding new functionality for Admission control and resource management as well as by defining new set of network services. Each network service is optimised for specific type of traffic (e.g. non-reactive and reactive) and has its own traffic handling mechanisms. Exemplary measurement results verifying the effectiveness of AQUILA approach for providing QoS are also included.
Computer Communications, 2003
The paper describes the traffic handling mechanisms implemented in the AQUILA pilot QoS IP networ... more The paper describes the traffic handling mechanisms implemented in the AQUILA pilot QoS IP network [AQUILA Project Consortium (2001)]. The AQUILA architecture enhances the DiffServ concept [A Conceptual Model for DiffServ Routers (2000), An Architecture for Differentiated Services (1998), An Expedited Forwarding PHB (2001)] by adding new functionality for admission control and resource management as well as by defining new set of Network Services (NSs). Each NS is optimised for specific type of traffic (e.g. reactive and nonreactive) and has its own traffic handling mechanisms. The mentioned mechanisms operate at different time scales, ranging from longmedium term resources management (provisioning, resource pools) to flow level admission control, down to packet level scheduling and queuing management. Some of these mechanisms are related to NSs: in particular each NS is associated to a set of traffic handling algorithms at flow and packet level, collectively referred to as Traffic Classes (TCLs). This paper describes the set of traffic handling mechanisms defined in AQUILA, with a special focus on the implementation of TCLs, both at packet and flow level. In particular the scheduling/queuing and admission control schemes for each TCL are presented. Exemplary measurement results verifying the effectiveness of AQUILA approach for providing Quality of Service (QoS) guarantees and QoS differentiation are also included. q 2002 Published by Elsevier Science B.V.