The Experts below are selected from a list of 2271 Experts worldwide ranked by ideXlab platform
Nitin Borkar - One of the best experts on this subject based on the ideXlab platform.
-
VLSI Design - A Reconfigurable On-die Traffic Generator in 45nm CMOS for a 48 iA-32 Core Network-on-Chip
2012 25th International Conference on VLSI Design, 2012Co-Authors: Praveen Salihundam, Mohammed Asadullah Khan, Shailendra Jain, Yatin Hoskote, Satish Yada, Shasi Kumar, Vasantha Erraguntla, Sriram Vangal, Nitin BorkarAbstract:A reconfigurable on-die Traffic Generator (TG) is proposed to test the packet switched 2D-mesh network of a 48 iA-32 core Single-chip Cloud Computer. The Single-chip Cloud Computer (SCC) is an experimental processor created by Intel Labs. The 24-tile Network-on-Chip (NoC) consists of a Traffic Generator per tile which can be programmed to generate deterministic and random Traffic patterns. It also consists of reconfigurable activity control, (non)-cacheable reads and writes, message class and route control bits to feed synthetic Traffic to the network to investigate NoC functional, protocol issues and to measure the key power-performance metrics. In this paper, we present the architecture and design details of the Traffic Generator, operating modes, re-configurability and the testing procedures. This semi-custom design has a transistor count of 54K, which is 0.1% of tile transistor count, and occupies 0.3mm2 area which is 0.9% of tile area. The estimated power consumption is only 23mW at 1.1V and at 500C, 0.02% of the total chip power in 45nm high-K nine metal CMOS process.
-
A Reconfigurable On-die Traffic Generator in 45nm CMOS for a 48 iA-32 Core Network-on-Chip
2012 25th International Conference on VLSI Design, 2012Co-Authors: Praveen Salihundam, Mohammed Asadullah Khan, Shailendra Jain, Yatin Hoskote, Satish Yada, Shasi Kumar, Vasantha Erraguntla, Sriram Vangal, Nitin BorkarAbstract:A reconfigurable on-die Traffic Generator (TG) is proposed to test the packet switched 2D-mesh network of a 48 iA-32 core Single-chip Cloud Computer. The Single-chip Cloud Computer (SCC) is an experimental processor created by Intel Labs. The 24-tile Network-on-Chip (NoC) consists of a Traffic Generator per tile which can be programmed to generate deterministic and random Traffic patterns. It also consists of reconfigurable activity control, (non)-cacheable reads and writes, message class and route control bits to feed synthetic Traffic to the network to investigate NoC functional, protocol issues and to measure the key power-performance metrics. In this paper, we present the architecture and design details of the Traffic Generator, operating modes, re-configurability and the testing procedures. This semi-custom design has a transistor count of 54K, which is 0.1% of tile transistor count, and occupies 0.3mm2 area which is 0.9% of tile area. The estimated power consumption is only 23mW at 1.1V and at 500C, 0.02% of the total chip power in 45nm high-K nine metal CMOS process.
N. Mitrou - One of the best experts on this subject based on the ideXlab platform.
-
An efficient ATM Traffic Generator for the real-time production of a large class of complex Traffic profiles
Journal of Communications and Networks, 2005Co-Authors: D. Loukatos, Lambros Sarakis, Kimon Kontovasilis, N. MitrouAbstract:This paper presents an advanced architecture for a Traffic Generator capable of producing ATM Traffic streams according to fully general semi-Markovian stochastic models. The architecture employs a basic Traffic Generator platform and enhances it by adding facilities for “driving” the cell generation process through high-level specifications. Several kinds of optimization are employed for enhancing the software's speed to match the hardware's potential and for ensuring that Traffic streams corresponding to models with a wide range of parameters can be generated efficiently and reliably. The proposed Traffic generation procedure is highly modular. Thus, although this paper deals with ATM Traffic, the main elements of the architecture can be used equally well for generating Traffic loads on other networking technologies, IP-based networks being a notable example.
-
ISCC - ATM Traffic Generator card. An integrated solution
Proceedings Third IEEE Symposium on Computers and Communications. ISCC'98. (Cat. No.98EX166), 1998Co-Authors: S. Hontas, G. Tselikis, S. Tompros, J. Giamniadakis, S. Andritsos, D. Loukatos, N. MitrouAbstract:In this paper the design and the implementation of an ATM Traffic Generator system is presented. The basic principles of this document follow the architecture presented in Hontas et al. (1997). It is a PC-based system with a careful allocation of functions between hardware and software, in a way that it can work on-line at full-speed (155.52 Mbps) and, on the other hand, be flexible enough to emulate a wide range of ATM Traffic profiles (VBR and CBR). The system is composed of a basic Traffic Generator and ATM signalling core card and four peripheral cards for the support of different physical interfaces. The architecture of the core card is open to any future modifications concerning signalling and functionality. The software of the system is running under Windows NT.
-
ATM Traffic Generator card. An integrated solution
Proceedings Third IEEE Symposium on Computers and Communications. ISCC'98. (Cat. No.98EX166), 1998Co-Authors: S. Hontas, G. Tselikis, S. Tompros, J. Giamniadakis, S. Andritsos, D. Loukatos, N. MitrouAbstract:In this paper the design and the implementation of an ATM Traffic Generator system is presented. The basic principles of this document follow the architecture presented in Hontas et al. (1997). It is a PC-based system with a careful allocation of functions between hardware and software, in a way that it can work on-line at full-speed (155.52 Mbps) and, on the other hand, be flexible enough to emulate a wide range of ATM Traffic profiles (VBR and CBR). The system is composed of a basic Traffic Generator and ATM signalling core card and four peripheral cards for the support of different physical interfaces. The architecture of the core card is open to any future modifications concerning signalling and functionality. The software of the system is running under Windows NT.
-
a flexible and cost effecive atm Traffic Generator
Proceedings of the IFIP TC6 WG6.3 WG6.4 Fifth International Workshop on Performance Modelling and Evaluation of ATM Networks: Performance Analysis of , 1997Co-Authors: S. Hontas, A Evangelatos, D Vasileiou, N. MitrouAbstract:In this paper a flexible burst-level ATM Traffic Generator is presented. It is a PC-based system with a careful allocation of functions between hardware (PC ISA board) and software, in a way that allows it to work on-line at full-speed (155.52Mbps), on the one hand, and on the other, to be flexible enough to emulate a wide range of ATM Traffic profiles. Up to 4 boards can be hosted by a single PC, each being able to generate up to 16 independent streams. Each stream consists of a continuous sequence of “Traffic events” (burst-silence cycles), with each event being described by three parameters: the burst size, the silence duration and the inter-cell distance within the burst. The triplets, describing respective Traffic events, are generated by software and downloaded on-line (through DMA) to the hardware; thus, in principle, any Traffic model can be implemented, the limits being imposed only by the speed of the PC in relation to the total number of independent streams (up to 64) generated concurrently. For example, arbitrary distributions of the three Traffic parameters (including experimental histograms) can be independently sampled; or correlated samples according to any law desired can be easily produced. Even further, real Traffic can be emulated, provided that a monitoring device (e.g. a LAN Traffic monitor) is connected to the PC feeding it with samples of the real Traffic stream.
-
Modelling and Evaluation of ATM Networks - A Flexible and Cost-Effecive ATM Traffic Generator
IFIP Advances in Information and Communication Technology, 1997Co-Authors: S. Hontas, A Evangelatos, D Vasileiou, N. MitrouAbstract:In this paper a flexible burst-level ATM Traffic Generator is presented. It is a PC-based system with a careful allocation of functions between hardware (PC ISA board) and software, in a way that allows it to work on-line at full-speed (155.52Mbps), on the one hand, and on the other, to be flexible enough to emulate a wide range of ATM Traffic profiles. Up to 4 boards can be hosted by a single PC, each being able to generate up to 16 independent streams. Each stream consists of a continuous sequence of “Traffic events” (burst-silence cycles), with each event being described by three parameters: the burst size, the silence duration and the inter-cell distance within the burst. The triplets, describing respective Traffic events, are generated by software and downloaded on-line (through DMA) to the hardware; thus, in principle, any Traffic model can be implemented, the limits being imposed only by the speed of the PC in relation to the total number of independent streams (up to 64) generated concurrently. For example, arbitrary distributions of the three Traffic parameters (including experimental histograms) can be independently sampled; or correlated samples according to any law desired can be easily produced. Even further, real Traffic can be emulated, provided that a monitoring device (e.g. a LAN Traffic monitor) is connected to the PC feeding it with samples of the real Traffic stream.
Steven Yackel - One of the best experts on this subject based on the ideXlab platform.
-
ICDE - A demonstration of MNTG - A web-based road network Traffic Generator
2014 IEEE 30th International Conference on Data Engineering, 2014Co-Authors: Mohamed F. Mokbel, Louai Alarabi, Ahmed Eldawy, Amr Magdy, Mohamed Sarwat, Ethan Waytas, Steven YackelAbstract:This demo presents Minnesota Traffic Generator (MNTG); an extensible web-based road network Traffic Generator. MNTG enables its users to generate Traffic data at any arbitrary road networks with different Traffic Generators. Unlike existing Traffic Generators that require a lot of time/effort to install, configure, and run, MNTG is a web service with a user-friendly interface where users can specify an arbitrary spatial region, select a Traffic Generator, and submit their Traffic generation request. Once the Traffic data is generated by MNTG, users can then download and/or visualize the generated data. MNTG can be extended to support: (1) various Traffic Generators. It is already shipped with the two most common Traffic Generators, Brinkhoff and BerlinMOD, but other Generators can be easily added. (2) various road network sources. It is shipped with U.S. Tiger files and OpenStreetMap, but other sources can be also added. A beta version of MNTG is launched at: http://mntg.cs.umn.edu.
-
A demonstration of MNTG - A web-based road network Traffic Generator
2014 IEEE 30th International Conference on Data Engineering, 2014Co-Authors: Mohamed F. Mokbel, Louai Alarabi, Ahmed Eldawy, Amr Magdy, Mohamed Sarwat, Ethan Waytas, Steven YackelAbstract:This demo presents Minnesota Traffic Generator (MNTG); an extensible web-based road network Traffic Generator. MNTG enables its users to generate Traffic data at any arbitrary road networks with different Traffic Generators. Unlike existing Traffic Generators that require a lot of time/effort to install, configure, and run, MNTG is a web service with a user-friendly interface where users can specify an arbitrary spatial region, select a Traffic Generator, and submit their Traffic generation request. Once the Traffic data is generated by MNTG, users can then download and/or visualize the generated data. MNTG can be extended to support: (1) various Traffic Generators. It is already shipped with the two most common Traffic Generators, Brinkhoff and BerlinMOD, but other Generators can be easily added. (2) various road network sources. It is shipped with U.S. Tiger files and OpenStreetMap, but other sources can be also added. A beta version of MNTG is launched at: http://mntg.cs.umn.edu.
-
mntg an extensible web based Traffic Generator
Symposium on Large Spatial Databases, 2013Co-Authors: Mohamed F. Mokbel, Louai Alarabi, Ahmed Eldawy, Amr Magdy, Mohamed Sarwat, Ethan Waytas, Steven YackelAbstract:Road network Traffic datasets have attracted significant attention in the past decade. For instance, in spatio-temporal databases area, researchers harness road network Traffic data to evaluate and validate their research. Collecting real Traffic datasets is tedious as it usually takes a significant amount of time and effort. Alternatively, many researchers opt to generate synthetic Traffic data using existing Traffic generation tools, e.g., Brinkhoff and BerlinMOD. Unfortunately, existing road network Traffic Generators require significant amount of time and effort to install, configure, and run. Moreover, it is not trivial to generate Traffic data in arbitrary spatial regions using existing Traffic Generators. In this paper, we propose Minnesota Traffic Generator (MNTG); an extensible web-based road network Traffic Generator that overcomes the hurdles of using existing Traffic Generators. MNTG does not provide a new way to simulate Traffic data. Instead, it serves as a wrapper over existing Traffic Generators, making them easy to use, configure, and run for any arbitrary spatial road region. To generate Traffic data, MNTG users just need to use its user-friendly web interface to specify an arbitrary spatial range on the map, select a Traffic Generator method, and submit the Traffic generation request to the server. MNTG dedicated server will receive and process the submitted Traffic generation request, and notify the user via email when finished. MNTG users can then download their generated data and/or visualize it on MNTG map interface. MNTG is extensible in two frontiers: (1) It can be easily extended to support various Traffic Generators. It is already shipped with the two most common Traffic Generators, Brinkhoff and BerlinMOD, yet, it also has the interface that can be used to add new Traffic Generators. (2) It can be easily extended to support various road network sources. It is shipped with U.S. Tiger files and Open Street Map, yet, it also has the interface that can be used to add other sources. MNTG is launched as a web service for public use; a prototype can be accessed via http://mntg.cs.umn.edu .
-
SSTD - MNTG: an extensible web-based Traffic Generator
Advances in Spatial and Temporal Databases, 2013Co-Authors: Mohamed F. Mokbel, Louai Alarabi, Ahmed Eldawy, Amr Magdy, Mohamed Sarwat, Ethan Waytas, Steven YackelAbstract:Road network Traffic datasets have attracted significant attention in the past decade. For instance, in spatio-temporal databases area, researchers harness road network Traffic data to evaluate and validate their research. Collecting real Traffic datasets is tedious as it usually takes a significant amount of time and effort. Alternatively, many researchers opt to generate synthetic Traffic data using existing Traffic generation tools, e.g., Brinkhoff and BerlinMOD. Unfortunately, existing road network Traffic Generators require significant amount of time and effort to install, configure, and run. Moreover, it is not trivial to generate Traffic data in arbitrary spatial regions using existing Traffic Generators. In this paper, we propose Minnesota Traffic Generator (MNTG); an extensible web-based road network Traffic Generator that overcomes the hurdles of using existing Traffic Generators. MNTG does not provide a new way to simulate Traffic data. Instead, it serves as a wrapper over existing Traffic Generators, making them easy to use, configure, and run for any arbitrary spatial road region. To generate Traffic data, MNTG users just need to use its user-friendly web interface to specify an arbitrary spatial range on the map, select a Traffic Generator method, and submit the Traffic generation request to the server. MNTG dedicated server will receive and process the submitted Traffic generation request, and notify the user via email when finished. MNTG users can then download their generated data and/or visualize it on MNTG map interface. MNTG is extensible in two frontiers: (1) It can be easily extended to support various Traffic Generators. It is already shipped with the two most common Traffic Generators, Brinkhoff and BerlinMOD, yet, it also has the interface that can be used to add new Traffic Generators. (2) It can be easily extended to support various road network sources. It is shipped with U.S. Tiger files and Open Street Map, yet, it also has the interface that can be used to add other sources. MNTG is launched as a web service for public use; a prototype can be accessed via http://mntg.cs.umn.edu .
Praveen Salihundam - One of the best experts on this subject based on the ideXlab platform.
-
VLSI Design - A Reconfigurable On-die Traffic Generator in 45nm CMOS for a 48 iA-32 Core Network-on-Chip
2012 25th International Conference on VLSI Design, 2012Co-Authors: Praveen Salihundam, Mohammed Asadullah Khan, Shailendra Jain, Yatin Hoskote, Satish Yada, Shasi Kumar, Vasantha Erraguntla, Sriram Vangal, Nitin BorkarAbstract:A reconfigurable on-die Traffic Generator (TG) is proposed to test the packet switched 2D-mesh network of a 48 iA-32 core Single-chip Cloud Computer. The Single-chip Cloud Computer (SCC) is an experimental processor created by Intel Labs. The 24-tile Network-on-Chip (NoC) consists of a Traffic Generator per tile which can be programmed to generate deterministic and random Traffic patterns. It also consists of reconfigurable activity control, (non)-cacheable reads and writes, message class and route control bits to feed synthetic Traffic to the network to investigate NoC functional, protocol issues and to measure the key power-performance metrics. In this paper, we present the architecture and design details of the Traffic Generator, operating modes, re-configurability and the testing procedures. This semi-custom design has a transistor count of 54K, which is 0.1% of tile transistor count, and occupies 0.3mm2 area which is 0.9% of tile area. The estimated power consumption is only 23mW at 1.1V and at 500C, 0.02% of the total chip power in 45nm high-K nine metal CMOS process.
-
A Reconfigurable On-die Traffic Generator in 45nm CMOS for a 48 iA-32 Core Network-on-Chip
2012 25th International Conference on VLSI Design, 2012Co-Authors: Praveen Salihundam, Mohammed Asadullah Khan, Shailendra Jain, Yatin Hoskote, Satish Yada, Shasi Kumar, Vasantha Erraguntla, Sriram Vangal, Nitin BorkarAbstract:A reconfigurable on-die Traffic Generator (TG) is proposed to test the packet switched 2D-mesh network of a 48 iA-32 core Single-chip Cloud Computer. The Single-chip Cloud Computer (SCC) is an experimental processor created by Intel Labs. The 24-tile Network-on-Chip (NoC) consists of a Traffic Generator per tile which can be programmed to generate deterministic and random Traffic patterns. It also consists of reconfigurable activity control, (non)-cacheable reads and writes, message class and route control bits to feed synthetic Traffic to the network to investigate NoC functional, protocol issues and to measure the key power-performance metrics. In this paper, we present the architecture and design details of the Traffic Generator, operating modes, re-configurability and the testing procedures. This semi-custom design has a transistor count of 54K, which is 0.1% of tile transistor count, and occupies 0.3mm2 area which is 0.9% of tile area. The estimated power consumption is only 23mW at 1.1V and at 500C, 0.02% of the total chip power in 45nm high-K nine metal CMOS process.
Amit Singh - One of the best experts on this subject based on the ideXlab platform.
-
ICDCN - Design and implementation of a network processor based 10gbps network Traffic Generator
Distributed Computing and Networking, 2006Co-Authors: Sanket Shah, Tularam M Bansod, Amit SinghAbstract:Testing network processor based high throughput applications require high-speed Traffic Generator. Commercial Traffic Generators are very expensive and their internal working is proprietary. Hence, we have designed a network processor based network Traffic Generator (TG). The Control Plane (CP) takes care of the configuration of the Traffic profile. The data plane (DP) is responsible for actual generation of the Traffic. The TG requires another copy of TG or any other Traffic Generator for calibration. We explain the calibration methodology and the results of our experiments. Our system has been able to generate Traffic up to 10Gbps.
-
design and implementation of a network processor based 10gbps network Traffic Generator
Lecture Notes in Computer Science, 2006Co-Authors: Sanket Shah, Tularam M Bansod, Amit SinghAbstract:Testing network processor based high throughput applications require high-speed Traffic Generator. Commercial Traffic Generators are very expensive and their internal working is proprietary. Hence, we have designed a network processor based network Traffic Generator (TG). The Control Plane (CP) takes care of the configuration of the Traffic profile. The data plane (DP) is responsible for actual generation of the Traffic. The TG requires another copy of TG or any other Traffic Generator for calibration. We explain the calibration methodology and the results of our experiments. Our system has been able to generate Traffic up to 10Gbps.
