DWDM-RAM - An architecture for data intensive Grids enabled by next generation dynamic optical networks, incorporating new methods for lightpath provisioning.
DWDM-RAM: An architecture designed to meet the
networking challenges of extremely large scale Grid applications.
Traditional network infrastructure cannot meet these demands,
especially, requirements for intensive data flows
DWDM-RAM Components Include:
Data management services
Intelligent middleware
Dynamic lightpath provisioning
State-of-the-art photonic technologies
Wide-area photonic testbed implementation
A Grid Computing Platform where Communication Function is in Balance with Computation and Storage.
Lambda Data Grid Service architecture interacts with Cyber-infrastructure, and overcomes data limitations efficiently & effectively by:
treating the “network” as a primary resource just like “storage” and “computation”
treating the “network” as a “scheduled resource”
relying upon a massive, dynamic transport infrastructure: Dynamic Optical Network
DWDM-RAM: DARPA-Sponsored Research for Data Intensive Service-on-Demand Advan...Tal Lavian Ph.D.
DWDM-RAM - An architecture for data intensive
Grids enabled by next generation dynamic optical networks, incorporating new methods for lightpath provisioning.
Dynamic Lightpath Provisioning Services
Optical Dynamic Intelligent Networking (ODIN)
OGSA/OGSI compliant
Receives requests from middleware services
Knowledgeable about optical network resources
Provides dynamic lightpath provisioning
Communicates to optical network protocol layer
Precise wavelength control
Intradomain as well as interdomain
Contains mechanisms for extending lightpaths through
E-Paths - electronic paths
DWDM-RAM: DARPA-Sponsored Research for Data Intensive Service-on-Demand Advan...Tal Lavian Ph.D.
DWDM-RAM
An architecture for data intensive Grids enabled by next generation dynamic optical networks, incorporating
new methods for lightpath provisioning. DWDM-RAM is designed to meet the networking challenges of
extremely large scale Grid applications. Traditional network infrastructure cannot meet these demands,
especially, requirements for intensive data flows.
DWDM-RAM: DARPA-Sponsored Research for Data Intensive Service-on-Demand Advan...Tal Lavian Ph.D.
The DWDM-RAM architecture identifies two distinct planes over the dynamic
underlying optical network:
the Data Grid Plane that speaks for the diverse requirements of a data-intensive application by providing generic data-intensive interfaces and services and
2) the Network Grid Plane that marshals the raw bandwidth of the underlying optical
network into network services, within the OGSI framework, and that matches the complex requirements specified by the Data Grid Plane.
At the application middleware layer, the Data Transfer Service (DTS) presents an interface between the system and an application. It receives high-level client requests, policy-and-access filtered, to transfer specific named blocks of data with specific advance scheduling constraints.
The network resource middleware layer consists of three services: the Data Handler Service (DHS), the Network Resource Service (NRS) and the Dynamic Lambda Grid Service (DLGS). Services of this layer initiate and control sharing of resources.
A Platform for Large-Scale Grid Data Service on Dynamic High-Performance Netw...Tal Lavian Ph.D.
Dynamic High-Performance Networks :
Support data-intensive Grid applications
Gives adequate and uncontested bandwidth to an application’s burst
Employs circuit-switching of large flows of data to avoid overheads in breaking flows into small packets and delays routing
Is capable of automatic end-to-end path provisioning
Is capable of automatic wavelength switching
Provides a set of protocols for managing dynamically provisioned wavelengths
DWDM-RAM :
Encapsulates “optical network resources” into a service framework to support dynamically provisioned and advanced data-intensive transport services
Offers network resources as Grid services for Grid computing
Allows cooperation of distributed resources
Provides a generalized framework for high performance applications over next generation networks, not necessary optical end-to-end
Yields good overall utilization of network resources
DWDM-RAM: DARPA-Sponsored Research for Data Intensive Service-on-Demand Advan...Tal Lavian Ph.D.
DWDM-RAM: An architecture designed to meet the
networking challenges of extremely large scale Grid applications.
Traditional network infrastructure cannot meet these demands,
especially, requirements for intensive data flows
DWDM-RAM Components Include:
Data management services
Intelligent middleware
Dynamic lightpath provisioning
State-of-the-art photonic technologies
Wide-area photonic testbed implementation
Network is an integral part to Grids
Network resources guarantee Grid resource sharing
Networks resource allocation needed to effectively enable distributed virtual organizations (VOs)
Networks are heterogeneous in nature
Different kinds of devices and vendors
Domain-specific clouds in separate administrative domains
Unknown number of network layers and elements in a p2p connection
Networks have their own standards and evolution curve, not necessarily grid savvy
Standards and architectures defined in IEEE, IETF, ITU and others
Data plane, control plane, and management plane protocols
Network services provided for management and control
Grid optical network service architecture for data intensive applicationsTal Lavian Ph.D.
Integrated SW System Provide the “Glue”
Dynamic optical network as a fundamental Grid service in data-intensive Grid application, to be scheduled, to be managed and coordinated to support collaborative operations
From Super-computer to Super-network
In the past, computer processors were the fastest part
peripheral bottlenecks
In the future optical networks will be the fastest part
Computer, processor, storage, visualization, and instrumentation - slower "peripherals”
eScience Cyber-infrastructure focuses on computation, storage, data, analysis, Work Flow.
The network is vital for better eScience
A Grid Computing Platform where Communication Function is in Balance with Computation and Storage.
Lambda Data Grid Service architecture interacts with Cyber-infrastructure, and overcomes data limitations efficiently & effectively by:
treating the “network” as a primary resource just like “storage” and “computation”
treating the “network” as a “scheduled resource”
relying upon a massive, dynamic transport infrastructure: Dynamic Optical Network
DWDM-RAM: DARPA-Sponsored Research for Data Intensive Service-on-Demand Advan...Tal Lavian Ph.D.
DWDM-RAM - An architecture for data intensive
Grids enabled by next generation dynamic optical networks, incorporating new methods for lightpath provisioning.
Dynamic Lightpath Provisioning Services
Optical Dynamic Intelligent Networking (ODIN)
OGSA/OGSI compliant
Receives requests from middleware services
Knowledgeable about optical network resources
Provides dynamic lightpath provisioning
Communicates to optical network protocol layer
Precise wavelength control
Intradomain as well as interdomain
Contains mechanisms for extending lightpaths through
E-Paths - electronic paths
DWDM-RAM: DARPA-Sponsored Research for Data Intensive Service-on-Demand Advan...Tal Lavian Ph.D.
DWDM-RAM
An architecture for data intensive Grids enabled by next generation dynamic optical networks, incorporating
new methods for lightpath provisioning. DWDM-RAM is designed to meet the networking challenges of
extremely large scale Grid applications. Traditional network infrastructure cannot meet these demands,
especially, requirements for intensive data flows.
DWDM-RAM: DARPA-Sponsored Research for Data Intensive Service-on-Demand Advan...Tal Lavian Ph.D.
The DWDM-RAM architecture identifies two distinct planes over the dynamic
underlying optical network:
the Data Grid Plane that speaks for the diverse requirements of a data-intensive application by providing generic data-intensive interfaces and services and
2) the Network Grid Plane that marshals the raw bandwidth of the underlying optical
network into network services, within the OGSI framework, and that matches the complex requirements specified by the Data Grid Plane.
At the application middleware layer, the Data Transfer Service (DTS) presents an interface between the system and an application. It receives high-level client requests, policy-and-access filtered, to transfer specific named blocks of data with specific advance scheduling constraints.
The network resource middleware layer consists of three services: the Data Handler Service (DHS), the Network Resource Service (NRS) and the Dynamic Lambda Grid Service (DLGS). Services of this layer initiate and control sharing of resources.
A Platform for Large-Scale Grid Data Service on Dynamic High-Performance Netw...Tal Lavian Ph.D.
Dynamic High-Performance Networks :
Support data-intensive Grid applications
Gives adequate and uncontested bandwidth to an application’s burst
Employs circuit-switching of large flows of data to avoid overheads in breaking flows into small packets and delays routing
Is capable of automatic end-to-end path provisioning
Is capable of automatic wavelength switching
Provides a set of protocols for managing dynamically provisioned wavelengths
DWDM-RAM :
Encapsulates “optical network resources” into a service framework to support dynamically provisioned and advanced data-intensive transport services
Offers network resources as Grid services for Grid computing
Allows cooperation of distributed resources
Provides a generalized framework for high performance applications over next generation networks, not necessary optical end-to-end
Yields good overall utilization of network resources
DWDM-RAM: DARPA-Sponsored Research for Data Intensive Service-on-Demand Advan...Tal Lavian Ph.D.
DWDM-RAM: An architecture designed to meet the
networking challenges of extremely large scale Grid applications.
Traditional network infrastructure cannot meet these demands,
especially, requirements for intensive data flows
DWDM-RAM Components Include:
Data management services
Intelligent middleware
Dynamic lightpath provisioning
State-of-the-art photonic technologies
Wide-area photonic testbed implementation
Network is an integral part to Grids
Network resources guarantee Grid resource sharing
Networks resource allocation needed to effectively enable distributed virtual organizations (VOs)
Networks are heterogeneous in nature
Different kinds of devices and vendors
Domain-specific clouds in separate administrative domains
Unknown number of network layers and elements in a p2p connection
Networks have their own standards and evolution curve, not necessarily grid savvy
Standards and architectures defined in IEEE, IETF, ITU and others
Data plane, control plane, and management plane protocols
Network services provided for management and control
Grid optical network service architecture for data intensive applicationsTal Lavian Ph.D.
Integrated SW System Provide the “Glue”
Dynamic optical network as a fundamental Grid service in data-intensive Grid application, to be scheduled, to be managed and coordinated to support collaborative operations
From Super-computer to Super-network
In the past, computer processors were the fastest part
peripheral bottlenecks
In the future optical networks will be the fastest part
Computer, processor, storage, visualization, and instrumentation - slower "peripherals”
eScience Cyber-infrastructure focuses on computation, storage, data, analysis, Work Flow.
The network is vital for better eScience
Dynamic Classification in a Silicon-Based Forwarding EngineTal Lavian Ph.D.
Implement flow performance enhancement mechanisms without introducing software into data forwarding path
Service defined packet processing in a silicon-based forwarding engine
Policy-based Dynamic packet classifier
Create OPEN platform for introduction of new services
Specify OPEN interfaces for Java applications to control a generic, platform-neutral forwarding plane
Enable downloading of services to network node
Allow object sharing and inter-service communication
Business Model Concepts for Dynamically Provisioned Optical NetworksTal Lavian Ph.D.
Business Continuity/Disaster Recovery:
Remote file storage/back-up
Recovery after equipment or path failure
Alternate site operations after disaster
Storage and Data on Demand:
Rapid expansion of NAS capacity
Archival storage and retrievals
Logistical networking – pre-fetch and cache
Financial Community and Transaction GRIDs:
Distributed computation and storage
Shared very high bandwidth network
Pay-for-use utility computing
Linac Coherent Light Source (LCLS) Data Transfer Requirementsinside-BigData.com
In this deck from the Stanford HPC Conference, Les Cottrell from the SLAC National Accelerator Laboratory, at Stanford University presents: Linac Coherent Light Source (LCLS) Data Transfer Requirements.
"Funded by the U.S. Department of Energy (DOE) the LCLS is the world’s first hard X-ray free-electron laser. Its strobe-like pulses are just a few millionths of a billionth of a second long, and a billion times brighter than previous X-ray sources. Scientists use LCLS to take crisp pictures of atomic motions, watch chemical reactions unfold, probe the properties of materials and explore fundamental processes in living things.
Its performance to date, over the first few years of operation, has already provided a breathtaking array of world-leading results, published in the most prestigious academic journals and has inspired other XFEL facilities to be commissioned around the world.
LCLS-II will build from the success of LCLS to ensure that the U.S. maintains a world-leading capability for advanced research in chemistry, materials, biology and energy. It is planned to see first light in 2020.
LCLS-II will provide a major jump in capability – moving from 120 pulses per second to 1 million pulses per second. This will enable researchers to perform experiments in a wide range of fields that are now impossible. The unique capabilities of LCLS-II will yield a host of discoveries to advance technology, new energy solutions and our quality of life.
Analysis of the data will require transporting huge amounts of data from SLAC to supercomputers at other sites to provide near real-time analysis results and feedback to the experiments.
The talk will introduce LCLS and LCLS-II with a short video, discuss its data reduction, collection, data transfer needs and current progress in meeting these needs."
Watch the video: https://youtu.be/LkwwGh7YdPI
Learn more: https://www6.slac.stanford.edu/
and
http://hpcadvisorycouncil.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
A fundamental problem before carriers today is to optimize network cost
and performance by better resource allocation to traffic demands. This is especially
important with the packet infrastructure becoming a critical business resource.
The key to achieving this is traffic engineering (TE), the process of
systematically putting traffic where there is capacity, and backbone
capacity management, the process of ensuring that there is enough network
capacity to meet demand, even at peak times and under failure conditions,
without significant queue buildups.
In this talk, we first focus on the TE techniques and approaches used
in the networks of two large carriers: Global Crossing and
Sprint, which represent the two ends of the traffic engineering spectrum.
We do so by presenting a snapshot of their TE philosophy, deployment strategy,
and network design principles and operation.
We then present the results of an empirical study of backbone traffic
characteristics that suggests that Internet traffic is not self-similar at
timescales relevant to QoS. Our non-parametric approach requires minimal
assumptions (unlike much of the previous work), and allows
us to formulate a practical process for ensuring QoS using backbone
capacity management.
(This latter work is joint with Thomas Telkamp, Global Crossing Ltd. and Arman
Maghbouleh, Cariden Technologies, Inc.)
This is the 2nd defense of my Ph.D. double degree.
More details - https://kkpradeeban.blogspot.com/2019/08/my-phd-defense-software-defined-systems.html
Two-level scheduling scheme for integrated 4G-WLAN network IJECEIAES
In this paper, a novel scheduling scheme for the Fourth Generation (4G)-Wireless Local Area Network (WLAN) network is proposed to ensure that end to end traffic transaction is provisioned seamlessly. The scheduling scheme is divided into two stages; in stage one, traffic is separated into Actual Time Traffic (ATT) and Non-Actual-Time Traffic (NATT), while in stage two, complex queuing strategy is performed. In stage one, Class-Based Queuing (CBQ) and Deficit Round Robin(DRR) are used for NATT and ATT applications, respectively to separate and forward traffic themselves according to source requirements. Whereas in the stage, two Control Priority Queuing (CPQ) is used to assign each class the appropriate priority level. Evaluation of the performance of the integrated network was done according to several metrics such as end-to-end delay, jitter, packet loss, and network’s throughput. Results demonstrate major improvements for AT services with minor degradation on NAT applications after implementing the new scheduling scheme.
Analysis of Link State Resource Reservation Protocol for Congestion Managemen...ijgca
With the wide spread of WiFi hotspots, concentrated traffic workload on Smart Web (SW) can slow down
the network performance. This paper presents a congestion management strategy considering real time
activities in today’s smart web. With the SW context, cooperative packet recovery using resource
reservation procedure for TCP flows was adapted for mitigating packet losses. This is to maintain data
consistency between various access points of smart web hotspot. Using a real world scenario, it was
confirmed that generic TCP cannot handle traffic congestion in a SW hotspot network. With TCP in
scalable workload environments, continuous packet drops at the event of congestion remains obvious. This
is unacceptable for mission critical domains. An enhanced Link State Resource Reservation Protocol (LSRSVP)
which serves as dynamic feedback mechanism in smart web hotspots is presented. The contextual
behaviour was contrasted with the generic TCP model. For the LS-RSVP, a simulation experiment for TCP
connection between servers at the remote core layer and the access layer was carried out while using
selected benchmark metrics. From the results, under realistic workloads, a steady-state throughput
response was achieved by TCP LS-RSVP to about 3650Bits/secs compared with generic TCP plots in a
previous study. Considering network service availability, this was found to be dependent on fault-tolerance
of the hotspot network. From study, a high peak threshold of 0.009 (i.e. 90%) was observed. This shows
fairly acceptable service availability behaviour compared with the existing TCP schemes. For packet drop
effects, an analysis on the network behaviour with respect to the LS-RSVP yielded a drop response of about
0.000106 bits/sec which is much lower compared with the case with generic TCP with over 0.38 bits/sec.
The latency profile of average FTP download response was found to be 0.030secs, but with that of FTP
upload response, this yielded about 0.028 sec. The results from the study demonstrate efficiency and
optimality for realistic loads in Smart web contexts.
Multiple Downlink Fair Packet Scheduling Scheme in Wi-MaxEditor IJCATR
IEEE 802.16 is standardization for a broadband wireless access in network metropolitan area network (MAN). IEEE 802.16
standard (Wi-Max) defines the concrete quality of service (QoS) requirement, a scheduling scheme and efficient packet scheduling
scheme which is necessary to achieve the QoS requirement. In this paper, a novel waiting queue based on downlink bandwidth
allocation architecture from a number of rtps schedule has been proposed to improve the performance of nrtPS services without any
impaction to other services. This paper proposes an efficient QoS scheduling scheme that satisfies both throughput and delay guarantee
to various real and non-real applications corresponding to different scheduling schemes for k=1,2,3,4. Simulation results show that
proposed scheduling scheme can provide a tight QoS guarantee in terms of delay for all types of traffic as defined in WiMax standards.
This process results in maintaining the fairness of allocation and helps to eliminate starvation of lower priority class services. The
authors propose a new efficient and generalized scheduling schemes for IEEE 802.16 broadband wireless access system reflecting the
delay requirements.
Review Paper on 802.11ax Scheduling and Resource Allocationijtsrd
Nowadays a fast remote Internet association is a need as opposed to a luxury. IEEE 802.11ax could be a revolution to present an improvement over this age of 802.11. 802.11ax has been accepted to convey next generation Wireless Local Area Network WLAN techniques. 802.11ax using multiple techniques as using modulation 1024 Quadrature Amplitude Modulation QAM , Orthogonal Frequency Division Multiple Access OFDMA , robust high efficiency signaling for better operation at a significantly lower Received Signal Strength Indication RSSI , Target Wakeup Time TWT where the station can request to wake up at any time in the future and more. 802.11ax achieves multiple benefits as enabling a more than 35 speed burst, reduce overhead and latency, and more. This paper gives a review of the IEEE 802.11ax resource allocation scheduling in both 1 Downlink DL data transfer 2 Uplink UL data transfer. Ibrahim Masri | Erdal Erdal | Atilla Ergüzen "Review Paper on 802.11ax Scheduling and Resource Allocation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd38162.pdf Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/38162/review-paper-on-80211ax-scheduling-and-resource-allocation/ibrahim-masri
A Survey of Recent Advances in Network Planning/Traffic Engineering (TE) ToolsVishal Sharma, Ph.D.
Designing & managing operational IP networks is a complex, multi-dimensional
task. A fundamental problem before carriers today
is to optimize network performance by better resource allocation to traffic demands.
This requires a systematic evaluation of options, a thorough scenario analysis,
and foolproof verification of network designs, all of which are increasingly
possible only with help from automated TE and planning tools.
In the past few years, significant advances have been made in enhancing existing
tools and developing new ones that help providers rapidly identify potential
performance problems, experiment with solutions, and develop robust designs.
Several techniques from optimization theory, linear programming, and
models of effective bandwidth calculation have been incorporated in such
tools, as have detailed models of several vendor systems.
We present a comparative analysis and an overview of key features of some key
commercially available network planning/TE tools, and outline how
they could be leveraged by carrier network engineering/planning
organizations to perform detailed network analysis, proactive/reactive
TE, and network design.
We first give an overview of the architecture, design philosophy, and canonical
features of modern design tools, and then focus on new enhancements to some
popular tools
as well as key distinguishing features of some newly developed ones.
In particular, we focus on decision support tools for IP network planning
and network analysis, including the latest versions from
WANDL, OPNET, Cariden..
We also present a perspective on current outstanding carrier requirements
for TE/planning tools that was synthesized by our conversations with
several leading Tier 1 and Tier 2 carriers.
In this project, we proposed a framework to support heterogenous traffic with different QoS demand in
WiMAX. This framework dynamically changes the bandwidth allocation (BA) for ongoing and new arrival
connections based on network condition and service demand. The objective is to efficiently use the
available bandwidth and provide QoS support in a fair manner. Dynamic allocation of spectrum prior to
transmission can mitigate the starvation problem of Non Real time application. The WFQ based dynamic
bandwidth allocation framework uses architecture that has packet scheduler scheme (PS), call admission
policy and a dynamic bandwidth allocation mechanism. By the simulation result we have showed that this
architecture could provide QoS support by being fair to all classes of services.
We've reimagined network security for the big data era. Check out Uli Schlegel's slides on our new 100G Metro with built-in encryption – an industry first.
Dynamic Classification in a Silicon-Based Forwarding EngineTal Lavian Ph.D.
Implement flow performance enhancement mechanisms without introducing software into data forwarding path
Service defined packet processing in a silicon-based forwarding engine
Policy-based Dynamic packet classifier
Create OPEN platform for introduction of new services
Specify OPEN interfaces for Java applications to control a generic, platform-neutral forwarding plane
Enable downloading of services to network node
Allow object sharing and inter-service communication
Business Model Concepts for Dynamically Provisioned Optical NetworksTal Lavian Ph.D.
Business Continuity/Disaster Recovery:
Remote file storage/back-up
Recovery after equipment or path failure
Alternate site operations after disaster
Storage and Data on Demand:
Rapid expansion of NAS capacity
Archival storage and retrievals
Logistical networking – pre-fetch and cache
Financial Community and Transaction GRIDs:
Distributed computation and storage
Shared very high bandwidth network
Pay-for-use utility computing
Linac Coherent Light Source (LCLS) Data Transfer Requirementsinside-BigData.com
In this deck from the Stanford HPC Conference, Les Cottrell from the SLAC National Accelerator Laboratory, at Stanford University presents: Linac Coherent Light Source (LCLS) Data Transfer Requirements.
"Funded by the U.S. Department of Energy (DOE) the LCLS is the world’s first hard X-ray free-electron laser. Its strobe-like pulses are just a few millionths of a billionth of a second long, and a billion times brighter than previous X-ray sources. Scientists use LCLS to take crisp pictures of atomic motions, watch chemical reactions unfold, probe the properties of materials and explore fundamental processes in living things.
Its performance to date, over the first few years of operation, has already provided a breathtaking array of world-leading results, published in the most prestigious academic journals and has inspired other XFEL facilities to be commissioned around the world.
LCLS-II will build from the success of LCLS to ensure that the U.S. maintains a world-leading capability for advanced research in chemistry, materials, biology and energy. It is planned to see first light in 2020.
LCLS-II will provide a major jump in capability – moving from 120 pulses per second to 1 million pulses per second. This will enable researchers to perform experiments in a wide range of fields that are now impossible. The unique capabilities of LCLS-II will yield a host of discoveries to advance technology, new energy solutions and our quality of life.
Analysis of the data will require transporting huge amounts of data from SLAC to supercomputers at other sites to provide near real-time analysis results and feedback to the experiments.
The talk will introduce LCLS and LCLS-II with a short video, discuss its data reduction, collection, data transfer needs and current progress in meeting these needs."
Watch the video: https://youtu.be/LkwwGh7YdPI
Learn more: https://www6.slac.stanford.edu/
and
http://hpcadvisorycouncil.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
A fundamental problem before carriers today is to optimize network cost
and performance by better resource allocation to traffic demands. This is especially
important with the packet infrastructure becoming a critical business resource.
The key to achieving this is traffic engineering (TE), the process of
systematically putting traffic where there is capacity, and backbone
capacity management, the process of ensuring that there is enough network
capacity to meet demand, even at peak times and under failure conditions,
without significant queue buildups.
In this talk, we first focus on the TE techniques and approaches used
in the networks of two large carriers: Global Crossing and
Sprint, which represent the two ends of the traffic engineering spectrum.
We do so by presenting a snapshot of their TE philosophy, deployment strategy,
and network design principles and operation.
We then present the results of an empirical study of backbone traffic
characteristics that suggests that Internet traffic is not self-similar at
timescales relevant to QoS. Our non-parametric approach requires minimal
assumptions (unlike much of the previous work), and allows
us to formulate a practical process for ensuring QoS using backbone
capacity management.
(This latter work is joint with Thomas Telkamp, Global Crossing Ltd. and Arman
Maghbouleh, Cariden Technologies, Inc.)
This is the 2nd defense of my Ph.D. double degree.
More details - https://kkpradeeban.blogspot.com/2019/08/my-phd-defense-software-defined-systems.html
Two-level scheduling scheme for integrated 4G-WLAN network IJECEIAES
In this paper, a novel scheduling scheme for the Fourth Generation (4G)-Wireless Local Area Network (WLAN) network is proposed to ensure that end to end traffic transaction is provisioned seamlessly. The scheduling scheme is divided into two stages; in stage one, traffic is separated into Actual Time Traffic (ATT) and Non-Actual-Time Traffic (NATT), while in stage two, complex queuing strategy is performed. In stage one, Class-Based Queuing (CBQ) and Deficit Round Robin(DRR) are used for NATT and ATT applications, respectively to separate and forward traffic themselves according to source requirements. Whereas in the stage, two Control Priority Queuing (CPQ) is used to assign each class the appropriate priority level. Evaluation of the performance of the integrated network was done according to several metrics such as end-to-end delay, jitter, packet loss, and network’s throughput. Results demonstrate major improvements for AT services with minor degradation on NAT applications after implementing the new scheduling scheme.
Analysis of Link State Resource Reservation Protocol for Congestion Managemen...ijgca
With the wide spread of WiFi hotspots, concentrated traffic workload on Smart Web (SW) can slow down
the network performance. This paper presents a congestion management strategy considering real time
activities in today’s smart web. With the SW context, cooperative packet recovery using resource
reservation procedure for TCP flows was adapted for mitigating packet losses. This is to maintain data
consistency between various access points of smart web hotspot. Using a real world scenario, it was
confirmed that generic TCP cannot handle traffic congestion in a SW hotspot network. With TCP in
scalable workload environments, continuous packet drops at the event of congestion remains obvious. This
is unacceptable for mission critical domains. An enhanced Link State Resource Reservation Protocol (LSRSVP)
which serves as dynamic feedback mechanism in smart web hotspots is presented. The contextual
behaviour was contrasted with the generic TCP model. For the LS-RSVP, a simulation experiment for TCP
connection between servers at the remote core layer and the access layer was carried out while using
selected benchmark metrics. From the results, under realistic workloads, a steady-state throughput
response was achieved by TCP LS-RSVP to about 3650Bits/secs compared with generic TCP plots in a
previous study. Considering network service availability, this was found to be dependent on fault-tolerance
of the hotspot network. From study, a high peak threshold of 0.009 (i.e. 90%) was observed. This shows
fairly acceptable service availability behaviour compared with the existing TCP schemes. For packet drop
effects, an analysis on the network behaviour with respect to the LS-RSVP yielded a drop response of about
0.000106 bits/sec which is much lower compared with the case with generic TCP with over 0.38 bits/sec.
The latency profile of average FTP download response was found to be 0.030secs, but with that of FTP
upload response, this yielded about 0.028 sec. The results from the study demonstrate efficiency and
optimality for realistic loads in Smart web contexts.
Multiple Downlink Fair Packet Scheduling Scheme in Wi-MaxEditor IJCATR
IEEE 802.16 is standardization for a broadband wireless access in network metropolitan area network (MAN). IEEE 802.16
standard (Wi-Max) defines the concrete quality of service (QoS) requirement, a scheduling scheme and efficient packet scheduling
scheme which is necessary to achieve the QoS requirement. In this paper, a novel waiting queue based on downlink bandwidth
allocation architecture from a number of rtps schedule has been proposed to improve the performance of nrtPS services without any
impaction to other services. This paper proposes an efficient QoS scheduling scheme that satisfies both throughput and delay guarantee
to various real and non-real applications corresponding to different scheduling schemes for k=1,2,3,4. Simulation results show that
proposed scheduling scheme can provide a tight QoS guarantee in terms of delay for all types of traffic as defined in WiMax standards.
This process results in maintaining the fairness of allocation and helps to eliminate starvation of lower priority class services. The
authors propose a new efficient and generalized scheduling schemes for IEEE 802.16 broadband wireless access system reflecting the
delay requirements.
Review Paper on 802.11ax Scheduling and Resource Allocationijtsrd
Nowadays a fast remote Internet association is a need as opposed to a luxury. IEEE 802.11ax could be a revolution to present an improvement over this age of 802.11. 802.11ax has been accepted to convey next generation Wireless Local Area Network WLAN techniques. 802.11ax using multiple techniques as using modulation 1024 Quadrature Amplitude Modulation QAM , Orthogonal Frequency Division Multiple Access OFDMA , robust high efficiency signaling for better operation at a significantly lower Received Signal Strength Indication RSSI , Target Wakeup Time TWT where the station can request to wake up at any time in the future and more. 802.11ax achieves multiple benefits as enabling a more than 35 speed burst, reduce overhead and latency, and more. This paper gives a review of the IEEE 802.11ax resource allocation scheduling in both 1 Downlink DL data transfer 2 Uplink UL data transfer. Ibrahim Masri | Erdal Erdal | Atilla Ergüzen "Review Paper on 802.11ax Scheduling and Resource Allocation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd38162.pdf Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/38162/review-paper-on-80211ax-scheduling-and-resource-allocation/ibrahim-masri
A Survey of Recent Advances in Network Planning/Traffic Engineering (TE) ToolsVishal Sharma, Ph.D.
Designing & managing operational IP networks is a complex, multi-dimensional
task. A fundamental problem before carriers today
is to optimize network performance by better resource allocation to traffic demands.
This requires a systematic evaluation of options, a thorough scenario analysis,
and foolproof verification of network designs, all of which are increasingly
possible only with help from automated TE and planning tools.
In the past few years, significant advances have been made in enhancing existing
tools and developing new ones that help providers rapidly identify potential
performance problems, experiment with solutions, and develop robust designs.
Several techniques from optimization theory, linear programming, and
models of effective bandwidth calculation have been incorporated in such
tools, as have detailed models of several vendor systems.
We present a comparative analysis and an overview of key features of some key
commercially available network planning/TE tools, and outline how
they could be leveraged by carrier network engineering/planning
organizations to perform detailed network analysis, proactive/reactive
TE, and network design.
We first give an overview of the architecture, design philosophy, and canonical
features of modern design tools, and then focus on new enhancements to some
popular tools
as well as key distinguishing features of some newly developed ones.
In particular, we focus on decision support tools for IP network planning
and network analysis, including the latest versions from
WANDL, OPNET, Cariden..
We also present a perspective on current outstanding carrier requirements
for TE/planning tools that was synthesized by our conversations with
several leading Tier 1 and Tier 2 carriers.
In this project, we proposed a framework to support heterogenous traffic with different QoS demand in
WiMAX. This framework dynamically changes the bandwidth allocation (BA) for ongoing and new arrival
connections based on network condition and service demand. The objective is to efficiently use the
available bandwidth and provide QoS support in a fair manner. Dynamic allocation of spectrum prior to
transmission can mitigate the starvation problem of Non Real time application. The WFQ based dynamic
bandwidth allocation framework uses architecture that has packet scheduler scheme (PS), call admission
policy and a dynamic bandwidth allocation mechanism. By the simulation result we have showed that this
architecture could provide QoS support by being fair to all classes of services.
We've reimagined network security for the big data era. Check out Uli Schlegel's slides on our new 100G Metro with built-in encryption – an industry first.
At the Society of Cable Telecommunications Engineers Expo 2014, Andy Smith of Juniper Networks presented Juniper’s vision and architecture for a cable oriented packet optical core and metro transport system. Access insights and network diagrams in his presentation and learn more in his blog post: http://juni.pr/1rwapCG.
Interoperability versus Cyber Security/Information Assurance?GovCloud Network
A view on Interoperability vs Cyber Security/Information Assurance by Mr. Jack Zavin Advisor Council Member,
NCOIC Member Executive Representative, & Vice Chair Net Centric Attributes Functional Team
This presentation provides a primer in current 100G technology developments, with a focus on the two market available 100G transport approaches: multicarrier direct detection and single carrier coherent. Additionally, different application scenarios with hybrid 10G/100G and multiple 100G transmissions are discussed elucidating fiber impairments and compensation techniques.
Web Services Presentation - Introduction, Vulnerabilities, & CountermeasuresPraetorian
The concept of web services has become ubiquitous over the last few years. Frameworks are now available across many platforms and languages to greatly ease and expedite the development of web services, often with a vast amount of existing code reuse. Software companies are taking advantage of this by integrating this technology into their products giving increased power and interoperability to their customers. However, the power web services enables also introduces new risks to an environment. As with web applications, development has outpaced the understanding and mitigation of vulnerabilities that arise from this emerging technology. This presentation will first aim to identify the risks associated with web services. We will describe the existing security standards and technologies which target web services (i.e., WS-Security) including its history, pros and cons, and current status. Finally we will attempt to extrapolate the future of this space to determine what changes must be made going forward.
Praetorian's goal is to help our clients understand minimize their overall security exposure and liability. Through our services, your organization can obtain an accurate, independent security assessment.
Transforming Packet Networks With Open Optical TransportADVA
Get the latest on the trend towards simple, open, disaggregated optical systems from Jörg-Peter Elbers’ slideshow, first delivered at ECOC Exhibition 2015
Check out the layer 1 encryption slide set that our VP of Product Line Management, Dr. Henning Hinderthür, presented last month in Uppsala, Sweden at the NORDUnet conference
A Platform for Data Intensive Services Enabled by Next Generation Dynamic Opt...Tal Lavian Ph.D.
The new architecture is proposed for data intensive enabled by next generation dynamic optical networks
Encapsulates “optical network resources” into a service framework to support dynamically provisioned and advanced data-intensive transport services
Provides a generalized framework for high performance applications over next generation networks, not necessary optical end-to-end
Supports both on-demand and scheduled data retrieval
Supports a meshed wavelength switched network capable of establishing an end-to-end lightpath in seconds
Supports bulk data-transfer facilities using lambda-switched networks
Supports out-of-band tools for adaptive placement of data replicas
Offers network resources as Grid services for Grid computing
A Platform for Data Intensive Services Enabled by Next Generation Dynamic Opt...Tal Lavian Ph.D.
The new architecture is proposed for data intensive enabled by next generation dynamic optical networks
Offers a Lambda scheduling service over Lambda Grids
Supports both on-demand and scheduled data retrieval
Supports bulk data-transfer facilities using lambda-switched networks
Provides a generalized framework for high performance applications over next generation networks, not necessary optical end-to-end
Supports out-of-band tools for adaptive placement of data replicas
DWDM-RAM:Enabling Grid Services with Dynamic Optical NetworksTal Lavian Ph.D.
Packet-switching technology
Great solution for small-burst communication, such as email, telnet, etc.
Data-intensive grid applications
Involves moving massive amounts of data
Requires high and sustained bandwidth
DWDM
Basically circuit switching
Enable QoS at the Physical Layer
Provide
High bandwidth
Sustained bandwidth
DWDM based on dynamic wavelength switching
Enable dedicated optical paths to be allocated dynamically
Business Models for Dynamically Provisioned Optical NetworksTal Lavian Ph.D.
Low latency, high bandwidth services (>1Gb/s) are emerging requirements for business, medical, education, government and industry
New applications development and business models could be stimulated by affordable and easily accessible high bandwidth in both local and wide area networks
High bandwidth connections are typically full period today but full period 7x24 bandwidth is not always needed.
Technologies are now available that suggest plausible new business model options to offer time slots for high bandwidth services
Dynamic provisioning of lambda and sub-lambda time slots
Periodically scheduled (N time slots per day, per week) or ad hoc
DWDM-RAM: An Architecture for Data Intensive Service Enabled by Next Generati...Tal Lavian Ph.D.
An architecture is proposed for data-intensive services enabled by next generation dynamic optical networks. The architecture supports new data communication services that allow for coordinating extremely large sets of distributed data. The architecture allows for novel features including algorithms for optimizing and scheduling data transfers,methods for allocating and scheduling network resources, and an intelligent middleware platform that is capable of interfacing application level services to the underlying optical technologies. The significance of the architecture is twofold: 1) it encapsulates “optical network resources” into a service framework to support dynamically provisioned and advance scheduled data-intensive transport services, and 2) it establishes a generalized enabling framework for intelligent services and applications over next generation networks, not necessarily optical end-to-end. DWDM-RAM1 is an implementation version of the architecture, which is conceptual as well as experimental. This architecture has been implemented in prototype on OMNInet, which is an advanced experimental metro area optical testbed that is based on novel architecture, protocols, control plane services (Optical Dynamic Intelligent Network-ODIN2), and advanced photonic components. This paper presents the concepts behind the DWDM-RAM architecture and its design. The paper also describes an application scenario using the architecture’s data transfer service and network resource services over the agile OMNInet testbed.
Impact of Grid Computing on Network Operators and HW VendorsTal Lavian Ph.D.
The “Network” is a Prime Resource for Large- Scale Distributed System.
Integrated SW System Provide the “Glue”
Dynamic optical network as a fundamental Grid service in data-intensive Grid application, to be scheduled, to be managed and coordinated to support collaborative operations
DWDM-RAM: Enabling Grid Services with Dynamic Optical NetworksTal Lavian Ph.D.
Advances in Grid technology enable the deployment of data-intensive distributed applications, which require moving Terabytes or even Petabytes of data
between data banks. The current underlying networks cannot provide dedicated links with adequate end-to-end sustained bandwidth to support the requirements of these Grid applications. DWDM-RAM1 is a novel service-oriented architecture, which harnesses the enormous bandwidth potential of optical networks and demonstrates their on-demand nsage on the OMNlnet. Preliminary experiments suggest that dynamic optical networks, such as the OMNlnet, are the ideal option for transferring such massive amounts of data. DWDM-RAM incorporates an OGSI/OGSA compliant service interface and will promote greater convergence between dynamic optical networks and data intensive Grid computing.
Network-aware Data Management for Large Scale Distributed Applications, IBM R...balmanme
IBM Research – Talk – June 24, 2015
Title:
Network-aware Data Management for Large Scale Distributed Applications
Abstract:
As current technology enables faster storage devices and larger interconnect bandwidth, there is a substantial need for novel system design and middleware architecture to address increasing latency, scalability, and throughput requirements. In this talk, I will outline network-aware data management and present solutions based on my past experience in large-scale data migration between remote repositories.
I will first describe my experience in the initial evaluation of 100Gbps network as a part of the Advance Network Initiative project. We needed intense fine-tuning in network, storage, and application layers, to take advantage of the higher network capacity. End-system bottlenecks and system performance play an important role especially in many-core platforms. I will introduce a special data movement prototype, successfully tested in one of the first 100Gbps demonstrations, in which applications map memory blocks for remote data, in contrast to the send/receive semantics. This prototype was used to stream climate data over wide-area for in-memory application processing and visualization.
Within this scope, I will introduce a flexible network reservation algorithm for on-demand bandwidth guaranteed virtual circuit services. Flexible reservations find best path in a time-dependent dynamic network topology to support predictable application performance. I will then present a data-scheduling model with advance provisioning, in which data movement operations are defined with earliest start and latest completion times.
I will conclude my talk with a very brief overview of my other related projects on performance engineering, hyper-converged virtual storage, and optimization in control and data path for virtualized environments.
ASON – Automatically Switched Optical Networks
Dynamically switch the light path
Enabler for many applications
Controlled by UNI and NNI – Allow applications to set the light path
Allow to add the intelligence into the optical core
ASON:
The Automatic Switched Optical Network (ASON) is both a framework and a technology capability.
As a framework that describes a control and management architecture for an automatic switched optical transport network.
As a technology, it refers to routing and signalling protocols applied to an optical network which enable dynamic path setup.
Recently changed names to Automatic Switched Transport Network (G.ASTN)
The presentation slides of my Ph.D. thesis. For more information - https://kkpradeeban.blogspot.com/2019/07/my-phd-defense-software-defined-systems.html
Application-engaged Dynamic Orchestration of Optical Network ResourcesTal Lavian Ph.D.
Grids & C. freed us from the cuffs of bit-blasting races
Apps such as Grids call for a complex mix of:
Bit-blasting
Finesse (granularity of control)
Virtualization (access to diverse knobs)
Resource bundling (network AND …)
Security (AAA to start)
Free from GUIs, any human intervention
Next Generation Inter-Data Center NetworkingInfinera
Presented by Chris Liou, Vice President, Network Strategy, at ECOC 2013 in London, UK (ECOC Special Symposia2: Next Generation Data Centres - Paving the Way for the Zettabyte Era
A system for providing ultra low phase noise frequency synthesizers using Fractional-N PLL (Phase Lock Loop), Sampling Reference PLL and DDS (Direct Digital Synthesizer). Modern day advanced communication systems comprise frequency synthesizers that provide a frequency output signal to other parts of the transmitter and receiver so as to enable the system to operate at the set frequency band. The performance of the frequency synthesizer determines the performance of the communication link. Current days advanced communication systems comprises single loop Frequency synthesizers which are not completely able to provide lower phase deviations for errors (For 256 QAM the practical phase deviation for no errors is 0.4-0.5°) which would enable users to receive high data rate. This proposed system overcomes deficiencies of current generation state of the art communication systems by providing much lower level of phase deviation error which would result in much higher modulation schemes and high data rate.
A system for providing ultra low phase noise frequency synthesizers using Fractional-N PLL (Phase Lock Loop), Sampling Reference PLL and DDS (Direct Digital Synthesizer). Modern day advanced communication systems comprise frequency synthesizers that provide a frequency output signal to other parts of the transmitter and receiver so as to enable the system to operate at the set frequency band. The performance of the frequency synthesizer determines the performance of the communication link. Current days advanced communication systems comprises single loop Frequency synthesizers which are not completely able to provide lower phase deviations for errors (For 256 QAM the practical phase deviation for no errors is 0.4-0.5°) which would enable users to receive high data rate. This proposed system overcomes deficiencies of current generation state of the art communication systems by providing much lower level of phase deviation error which would result in much higher modulation schemes and high data rate.
Embodiments of the present invention present a method and apparatus for photonic line sharing for high-speed routers. Photonic switches receive high-speed optical data streams and produce the data streams to a router operating according to routing logic and produce optical data streams according to destination addresses stored in the data packets. Each photonic switch can be configured as one of a 1:N multiplexer or an M:N cross-connect switch. In one embodiment, optical data is converted to electrical data prior to routing, while an alternate embodiment routes only optical data. Another embodiment transfers large volumes of high-speed data through an optical bypass line in a circuit switched network to bypass the switch fabric thereby routing the data packets directly to the destination. An edge device selects one of the packet switched network or the circuit switched network. The bypass resources are released when the large volume of high-speed data is transferred.
Systems and methods to support sharing and exchanging in a networkTal Lavian Ph.D.
Embodiments of the invention provide for providing support for sharing and exchanging in a network. The system includes a memory coupled to a processor. The memory includes a database comprising information corresponding to first users and the second users. Each of the first users and the second users are facilitated for sharing or exchanging activity, service or product, based on one or more conditions corresponding thereto. Further, the memory includes one or more instructions executable by the processor to match each of the first users to at least one of the second users. Furthermore, the instructions may inform each of the first users about the match with the at least one of the second users when all the conditions are met by the at least one second user based on the information corresponding to each of the second users.
Systems and methods for visual presentation and selection of IVR menuTal Lavian Ph.D.
Embodiments of the invention provide a system for generating an Interactive Voice Response (IVR) database, the system comprising a processor and a memory coupled to the processor. The memory comprising a list of telephone numbers associated with one or more destinations implementing IVR menus, wherein the one or more destinations are grouped based on a plurality of categories of the IVR menus. Further the memory includes instructions executable by said processor for automatically communicating with the one of more destinations, and receiving at least one customization record from said at least one destination to store in the IVR database.
Various embodiments allow Grid applications to access resources shared in communication network domains. Grid Proxy Architecture for Network Resources (GPAN) bridges Grid services serving user applications and network services controlling network devices through proxy functions. At times, GPAN employs distributed network service peers (NSP) in network domains to discover, negotiate and allocate network resources for Grid applications. An elected master NSP is the unique Grid node that runs GPAN and represents the whole network to share network resources to Grids without Grid involvement of network devices. GPAN provides the Grid Proxy service (GPS) to interface with Grid services and applications, and the Grid Delegation service (GDS) to interface with network services to utilize network resources. In some cases, resource-based XML messaging can be employed for the GPAN proxy communication.
A system for providing ultra low phase noise frequency synthesizers using Fractional-N PLL (Phase Lock Loop), Sampling Reference PLL and DDS (Direct Digital Synthesizer). Modern day advanced communication systems comprise frequency synthesizers that provide a frequency output signal to other parts of the transmitter and receiver so as to enable the system to operate at the set frequency band. The performance of the frequency synthesizer determines the performance of the communication link. Current days advanced communication systems comprises single loop Frequency synthesizers which are not completely able to provide lower phase deviations for errors (For 256 QAM the practical phase deviation for no errors is 0.4-0.5°) which would enable users to receive high data rate. This proposed system overcomes deficiencies of current generation state of the art communication systems by providing much lower level of phase deviation error which would result in much higher modulation schemes and high data rate.
Systems and methods for electronic communicationsTal Lavian Ph.D.
Embodiments of the invention provide a system for enhancing user interaction with the Internet of Things. The system includes a processor, and a memory coupled to the processor. The memory includes a database having one or more options corresponding to each of the Internet of Things. The memory further includes instructions executable by the processor to share at least one of the one or more options with one or more users of the things. Further, the instructions receive information corresponding to selection of the at least one option by the one or more users. Additionally, the instructions update the database based on the selection of the at least one option by the one or more users. Further, a device for enhancing interaction with the things is also disclosed.
A system for providing ultra low phase noise frequency synthesizers using Fractional-N PLL (Phase Lock Loop), Sampling Reference PLL and DDS (Direct Digital Synthesizer). Modern day advanced communication systems comprise frequency synthesizers that provide a frequency output signal to other parts of the transmitter and receiver so as to enable the system to operate at the set frequency band. The performance of the frequency synthesizer determines the performance of the communication link. Current days advanced communication systems comprises single loop Frequency synthesizers which are not completely able to provide lower phase deviations for errors (For 256 QAM the practical phase deviation for no errors is 0.4-0.5°) which would enable users to receive high data rate. This proposed system overcomes deficiencies of current generation state of the art communication systems by providing much lower level of phase deviation error which would result in much higher modulation schemes and high data rate.
A system for providing ultra low phase noise frequency synthesizers using Fractional-N PLL (Phase Lock Loop), Sampling Reference PLL and DDS (Direct Digital Synthesizer). Modern day advanced communication systems comprise frequency synthesizers that provide a frequency output signal to other parts of the transmitter and receiver so as to enable the system to operate at the set frequency band. The performance of the frequency synthesizer determines the performance of the communication link. Current days advanced communication systems comprises single loop Frequency synthesizers which are not completely able to provide lower phase deviations for errors (For 256 QAM the practical phase deviation for no errors is 0.4-0.5°) which would enable users to receive high data rate. This proposed system overcomes deficiencies of current generation state of the art communication systems by providing much lower level of phase deviation error which would result in much higher modulation schemes and high data rate.
Radar target detection system for autonomous vehicles with ultra-low phase no...Tal Lavian Ph.D.
An object detection system for autonomous vehicle, comprising a radar unit and at least one ultra-low phase noise frequency synthesizer, is provided. The radar unit configured for detecting the presence and characteristics of one or more objects in various directions. The radar unit may include a transmitter for transmitting at least one radio signal; and a receiver for receiving the at least one radio signal returned from the one or more objects. The ultra-low phase noise frequency synthesizer may utilize Clocking device, Sampling Reference PLL, at least one fixed frequency divider, DDS and main PLL to reduce phase noise from the returned radio signal. This proposed system overcomes deficiencies of current generation state of the art Radar Systems by providing much lower level of phase noise which would result in improved performance of the radar system in terms of target detection, characterization etc. Further, a method for autonomous vehicle is also disclosed.
Various embodiments allow Grid applications to access resources shared in communication network domains. Grid Proxy Architecture for Network Resources (GPAN) bridges Grid services serving user applications and network services controlling network devices through proxy functions. At times, GPAN employs distributed network service peers (NSP) in network domains to discover, negotiate and allocate network resources for Grid applications. An elected master NSP is the unique Grid node that runs GPAN and represents the whole network to share network resources to Grids without Grid involvement of network devices. GPAN provides the Grid Proxy service (GPS) to interface with Grid services and applications, and the Grid Delegation service (GDS) to interface with network services to utilize network resources. In some cases, resource-based XML messaging can be employed for the GPAN proxy communication.
Method and apparatus for scheduling resources on a switched underlay networkTal Lavian Ph.D.
A method and apparatus for resource scheduling on a switched underlay network (18) enables coordination, scheduling, and scheduling optimization to take place taking into account the availability of the data and the network resources comprising the switched underlay network (18). Requested transfers may be fulfilled by assessing the requested transfer parameters, the availability of the network resources required to fulfill the request, the availability of the data to be transferred, the availability of sufficient storage resources to receive the data, and other potentially conflicting requested transfers. In one embodiment, the requests are under-constrained to enable transfer scheduling optimization to occur. The under-constrained nature of the requests enable transfer scheduling optimization to occur. The under-constrained nature of the requests enables requests to be scheduled taking into account factors such as transfer priority, transfer duration, the amount of time it has been since the transfer request was submitted, and many other factors.
Dynamic assignment of traffic classes to a priority queue in a packet forward...Tal Lavian Ph.D.
An apparatus and method for dynamic assignment of classes of traffic to a priority queue. Bandwidth consumption by one or more types of packet traffic received in the packet forwarding device is monitored to determine whether the bandwidth consumption exceeds a threshold. If the bandwidth consumption exceeds the threshold, assignment of at least one type of packet traffic of the one or more types of packet traffic is changed from a queue having a first priority to a queue having a second priority.
Method and apparatus for using a command design pattern to access and configu...Tal Lavian Ph.D.
An XML accessible network device is capable of performing functions in response to an XML encoded request transmitted over a network. It includes a network data transfer service, coupled to a network, that is capable of receiving XML encoded requests from a client also connected to the network. A service engine is capable of understanding and parsing the XML encoded requests according to a corresponding DTD. The service engine further instantiates a service using parameters provided in the XML encoded request and launches the service for execution on the network device in accordance with a command design parameter. A set of device APIs interacts with hardware and software on the network device for executing the requested service on the network device. If necessary, a response is further collected from the device and provided to the client in a response message.
Embodiments of the invention provide means to the users of the system to provide ratings and corresponding feedback for enhancing the genuineness in the ratings. The system includes a memory coupled to a processor. The memory includes one or more instructions executable by the processor to enable the users of the system to rate each other based on at least one of sharing, exchanging, and selling one of activity, service or product. The system may provide a mechanism to encourage genuineness in ratings provided by the users. Furthermore, the instructions facilitate the rating receivers to provide feedbacks corresponding to the received ratings. The feedback includes accepting or objecting to a particular rating. Moreover, the memory includes instructions executable by the processor to enable the system to determine genuineness of an objection raised by a rating receiver.
Embodiments of the present invention provide a system for enhancing reliability in computation of ratings provided by a user over a social network. The system comprises of a processor and a memory coupled to the processor. The memory further comprises a rater score database, a satisfaction database, a social network registration database, a user profile database, and a plurality of instruction executable by the processor. Said instructions in the memory are enabled to accept a message from at least one user wherein said message comprises a satisfaction score associated with at least one service provider and to retrieve a rater score associated with said at least one user from said rater score database. Further, the memory includes instructions in order to compute a new satisfaction score based on said rater score and said satisfaction score and update said satisfaction database to include said new satisfaction score. In a similar manner, the new satisfaction score can be computed based upon the information stored in the social network registration database and user profile database.
Systems and methods for visual presentation and selection of ivr menuTal Lavian Ph.D.
Embodiments of the invention provide a system for generating an Interactive Voice Response (IVR) database, the system comprising a processor and a memory coupled to the processor. The memory comprising a list of telephone numbers associated with one or more destinations implementing IVR menus, wherein the one or more destinations are grouped based on a plurality of categories of the IVR menus. Further the memory includes instructions executable by said processor for automatically communicating with the one of more destinations, and receiving at least one customization record from said at least one destination to store in the IVR database.
A system for providing ultra low phase noise frequency synthesizers using Fractional-N PLL (Phase Lock Loop), Sampling Reference PLL and DDS (Direct Digital Synthesizer). Modern day advanced communication systems comprise frequency synthesizers that provide a frequency output signal to other parts of the transmitter and receiver so as to enable the system to operate at the set frequency band. The performance of the frequency synthesizer determines the performance of the communication link. Current days advanced communication systems comprises single loop Frequency synthesizers which are not completely able to provide lower phase deviations for errors (For 256 QAM the practical phase deviation for no errors is 0.4-0.5°) which would enable users to receive high data rate. This proposed system overcomes deficiencies of current generation state of the art communication systems by providing much lower level of phase deviation error which would result in much higher modulation schemes and high data rate.
A system for providing ultra low phase noise frequency synthesizers using Fractional-N PLL (Phase Lock Loop), Sampling Reference PLL and DDS (Direct Digital Synthesizer). Modern day advanced communication systems comprise frequency synthesizers that provide a frequency output signal to other parts of the transmitter and receiver so as to enable the system to operate at the set frequency band. The performance of the frequency synthesizer determines the performance of the communication link. Current days advanced communication systems comprises single loop Frequency synthesizers which are not completely able to provide lower phase deviations for errors (For 256 QAM the practical phase deviation for no errors is 0.4-0.5°) which would enable users to receive high data rate. This proposed system overcomes deficiencies of current generation state of the art communication systems by providing much lower level of phase deviation error which would result in much higher modulation schemes and high data rate.
An Architecture for Data Intensive Service Enabled by Next Generation Optical Networks
1. DWDM
RAM
Data@LIGHTspeed
An Architecture for Data Intensive Service
Enabled by Next Generation Optical Networks
Tal Lavian : Nortel Networks Labs
Nortel Networks
International Center for Advanced Internet Research (iCAIR), NWU, Chicago
Santa Clara University, California
University of Technology, Sydney
NNTTOONNC
C
2. Agenda
• Challenges
– Growth of Data-Intensive Applications
• Architecture
– Lambda Data Grid
• Lambda Scheduling
• Result
– Demos and Experiment
• Summary
3. Radical mismatch: L1 – L3
• Radical mismatch between the optical transmission world and
the electrical forwarding/routing world.
• Currently, a single strand of optical fiber can transmit more
bandwidth than the entire Internet core
• Current L3 architecture can’t effectively transmit PetaBytes or
100s of TeraBytes
• Current L1-L0 limitations: Manual allocation, takes 6-12
months - Static.
– Static means: not dynamic, no end-point connection, no service
architecture, no glue layers, no applications underlay routing
4. Growth of Data-Intensive Applications
• IP data transfer: 1.5TB (1012) , 1.5KB packets
– Routing decisions: 1 Billion times (109)
– Over every hop
• Web, Telnet, email – small files
• Fundamental limitations with data-intensive
applications
– multi TeraBytes or PetaBytes of data
– Moving 10KB and 10GB (or 10TB) are
different (x106, x109)
– 1Mbs & 10Gbs are different (x106)
5. Lambda Hourglass
• Data Intensive app requirements
– HEP
– Astrophysics/Astronomy
– Bioinformatics
– Computational Chemistry
• Inexpensive disk
– 1TB < $1,000
• DWDM
– Abundant optical bandwidth
• One fiber strand
– 280 λs, OC-192
CERN 1-PB
Data-Intensive Applications
Lambda
Data Grid
Abundant Optical Bandwidth
2.8 Tbs on single fiber strand
6. DWDM
RAM
Data@LIGHTspeed
Challenge: Emerging data intensive applications require:
Extremely high performance, long term data flows
Scalability for data volume and global reach
Adjustability to unpredictable traffic behavior
Integration with multiple Grid resources
Response: DWDM-RAM - An architecture for data
intensive Grids enabled by next generation dynamic optical
networks, incorporating new methods for lightpath
provisioning
7. DWDM
RAM
Data@LIGHTspeed
DWDM-RAM: An architecture designed to meet the
networking challenges of extremely large scale Grid
applications.
Traditional network infrastructure cannot meet these demands,
especially, requirements for intensive data flows
DWDM-RAM Components Include:
•Data management services
•Intelligent middleware
•Dynamic lightpath provisioning
•State-of-the-art photonic technologies
•Wide-area photonic testbed implementation
8. Agenda
• Challenges
– Growth of Data-Intensive Applications
• Architecture
– Lambda Data Grid
• Lambda Scheduling
• Result
– Demos and Experiment
• Summary
9. Northwestern U
4x10G
E
Optical
Switching
Platform
Passport
8600
Application
Cluster
UIC
8x1GE 4x10GE
Application
Cluster
Application
Cluster
Optical
Switching
Platform
Optical
Switching
Platform
Passport
8600
OPTera
Metro
5200
StarLight
Passport
8600
4x10GE
CA*net3--Chicago
Optical
Switching
Platform
Passport
8600
• A four-node multi-site optical metro testbed network in Chicago -- the first 10GE service trial!
• A test bed for all-optical switching and advanced high-speed services
• OMNInet testbed Partners: SBC, Nortel, iCAIR at Northwestern, EVL, CANARIE, ANL
Closed loop
8x1GE 4x10GE
8x1GE
8x1GE Loop
OMNInet Core Nodes
10. What is Lambda Data Grid?
• A service architecture
– comply with OGSA
– Lambda as an OGSI service
– on-demand and scheduled
Lambda
• GT3 implementation
• Demos in booth 1722
Grid Computing Applications
Grid Middleware
Data Grid Service Plane
Network Service Plane
Centralize Optical
Network Control
Lambda Service
11. DWDM-RAM Service Control Architecture
GRID Service
Request
Network Service Request
ODIN OmniNet Control Plane
Optical
Control
Network
Optical
Control
Network
UNI-N
Data Transmission Plane
ODIN
UNI-N
Connection
Control
L3 router
L2 switch
Service
Control
Data
Path
Control
Data
storage
switch
Data
Path
Control
DDAATTAA G GRRIDID S SEERRVVICICEE P PLLAANNEE
l1 ln
Data
Center
l1
ln
l1
ln
Data
Path
Data
Center
Service
Control
NNEETTWWOORRKK S SEERRVVICICEE P PLLAANNEE
12. Data Path Control
Connection
Control
Data
storage
switch Data
Data Transmission Plane
L3 router
Center
l1
ln
l1
ln
Data
Path
Data
Center
Applications
Optical Control
Plane
Data Transfer
Scheduler
Storage
Resource
Service
Dynamic Optical Network
Basic Network
Resource
Service
Other
Services
Processing
Resource
Service
Network
Resource
Scheduler
Basic Data
Transfer Service
Data Transfer Service
External Services Network Transfer Service
13. Data Management Services
•OGSA/OGSI compliant
•Capable of receiving and understanding application requests
•Has complete knowledge of network resources
•Transmits signals to intelligent middleware
•Understands communications from Grid infrastructure
•Adjusts to changing requirements
•Understands edge resources
•On-demand or scheduled processing
•Supports various models for scheduling, priority setting,
event synchronization
14. Intelligent Middleware for Adaptive Optical Networking
•OGSA/OGSI compliant
•Integrated with Globus
•Receives requests from data services
•Knowledgeable about Grid resources
•Has complete understanding of dynamic lightpath provisioning
•Communicates to optical network services layer
•Can be integrated with GRAM for co-management
•Architecture is flexible and extensible
15. Dynamic Lightpath Provisioning Services
•Optical Dynamic Intelligent Networking (ODIN)
•OGSA/OGSI compliant
•Receives requests from middleware services
•Knowledgeable about optical network resources
•Provides dynamic lightpath provisioning
•Communicates to optical network protocol layer
•Precise wavelength control
•Intradomain as well as interdomain
•Contains mechanisms for extending lightpaths through
•E-Paths - electronic paths
16. Agenda
• Challenges
– Growth of Data-Intensive Applications
• Architecture
– Lambda Data Grid
• Lambda Scheduling
• Result
– Demos and Experiment
• Summary
17. Design for Scheduling
• Network and Data Transfers scheduled
• Data Management schedule coordinates network, retrieval,
and sourcing services (using their schedulers)
• Network Management has own schedule
• Variety of request models
• Fixed – at a specific time, for specific duration
• Under-constrained – e.g. ASAP, or within a window
• Auto-rescheduling for optimization
• Facilitated by under-constrained requests
• Data Management reschedules
• for its own requests
• request of Network Management
18. Example 1: Time Shift
• Request for 1/2 hour between 4:00 and
5:30 on Segment D granted to User W at
4:00
• New request from User X for same
segment for 1 hour between 3:30 and
5:00
• Reschedule user W to 4:30; user X to
3:30. Everyone is happy.
D
3:30 4:00 4:30 5:00 5:30
W
3:30 4:00 4:30 5:00 5:30
D
W
3:30 4:00 4:30 5:00 5:30
Route allocated for a time slot; new request comes in; 1st route can be
rescheduled for a later slot within window to accommodate new request
19. Example 2: Reroute
• Request for 1 hour between nodes A and B
between 7:00 and 8:30 is granted using
Segment X (and other segments) for 7:00
• New request for 2 hours between nodes C
and D between 7:00 and 9:30 This route
needs to use Segment E to be satisfied
• Reroute the first request to take another
path thru the topology to free up Segment
E for the 2nd request. Everyone is happy
A
B
D
C
X
7:00-8:00
A
B
D
C
Y
X
7:00-8:00
Route allocated; new request comes in for a segment in use; 1st route
can be altered to use different path to allow 2nd to also be serviced in its
time window
20.
21.
22. Agenda
• Challenges
– Growth of Data-Intensive Applications
• Architecture
– Lambda Data Grid
• Lambda Scheduling
• Result
– Demos and Experiment
• Summary
23. Path Allocation Overhead as a
% of the Total Transfer Time
• Knee point shows the file size
for which overhead is
insignificant
Setup time = 2 sec, Bandwidth=100 Mbps
100%
90%
80%
70%
60%
50%
40%
30%
20%
10%
0%
0.1 1 10 100 1000 10000
File Size (MBytes)
Setup time / Total Transfer Time
1GB
Setup time = 2 sec, Bandwidth=300 Mbps
100%
90%
80%
70%
60%
50%
40%
30%
20%
10%
100%
90%
80%
70%
60%
50%
40%
30%
20%
10%
0%
0.1 1 10 100 1000 10000
File Size (MBytes)
Setup time / Total Transfer Time
5GB
Setup time = 48 sec, Bandwidth=920 Mbps
0%
100 1000 10000 100000 1000000 10000000
File Size (MBytes)
Setup time / Total Transfer Time
500GB
24. Packet Switched vs Lambda Network
Setup time tradeoffs (Optical path setup time = 2 sec)
5000.0
4500.0
4000.0
3500.0
3000.0
2500.0
2000.0
1500.0
1000.0
500.0
250.0
200.0
150.0
100.0
50.0
0.0
0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0
Time (s)
Data Transferred (MB)
Packet sw itched (300 Mbps)
Lambda switched (500 Mbps)
Lambda switched (750 Mbps)
Lambda switched (1 Gbps)
Lambda switched (10Gbps)
Packet Switched vs Lambda Network
Setup time tradeoffs (Optical path setup time = 48 sec)
0.0
0.0 20.0 40.0 60.0 80.0 100.0 120.0
Time (s)
Data Transferred (MB)
Packet switched (300 Mbps)
Lambda switched (500 Mbps)
Lambda switched (750 Mbps)
Lambda switched (1 Gbps)
Lambda switched (10Gbps)
25. Agenda
• Challenges
– Growth of Data-Intensive Applications
• Architecture
– Lambda Data Grid
• Lambda Scheduling
• Result
– Demos and Experiment
• Summary
26. Summary
•Next generation optical networking provides
significant new capabilities for Grid applications
and services, especially for high performance data
intensive processes
•DWDM-RAM architecture provides a framework
for exploiting these new capabilities
•These conclusions are not only conceptual – they
are being proven and demonstrated on OMNInet –
a wide-area metro advanced photonic testbed
28. NRM OGSA Compliance
OGSI interface
GridService PortType with two application-oriented methods:
allocatePath(fromHost, toHost,...)
deallocatePath(allocationID)
Usable by a variety of Grid applications
Java-oriented SOAP implementation using the Globus Toolkit 3.0
29. Network Resource Manager
• Presents application-oriented OGSI / Web Services interfaces
for network resource (lightpath) allocation
• Hides network details from applications
•Implemented in Java
Items in blue are planned
30. Scheduling : Extending Grid Services
OGSI interfaces
Web Service implemented using SOAP and JAX-RPC
Non-OGSI clients also supported
GARA and GRAM extensions
Network scheduling is new dimension
Under-constrained (conditional) requests
Elective rescheduling/renegotiation
Scheduled data resource reservation service (“Provide 2 TB
storage between 14:00 and 18:00 tomorrow”)
DWDM-RAM October 2003 Architecture Page 6
31. Lightpath Services
Enabling High Performance Support for
Data-Intensive Services With On-Demand Lightpaths Created By
Dynamic Lambda Provisioning, Supported by Advanced Photonic
Technologies
OGSA/OGSI Compliant Service
Optical Service Layer: Optical Dynamic Intelligent Network
(ODIN) Services
Incorporates Specialized Signaling
Utilizes Provisioning Tool: IETF GMPLS
New Photonic Protocols
32. Fiber
Span Length
KM MI
NWUEN
Link
1* 35.3 22.0
2 10.3 6.4
3* 12.4 7.7
4 7.2 4.5
5 24.1 15.0
6 24.1 15.0
7* 24.9 15.5
8 6.7 4.2
9 5.3 3.3
CAMPUS
FIBER (16)
CAMPUS
FIBER (4)
Grid
OMNInet
W Taylor Sheridan
1
l
l
l
10 GE
1
l
l
l
10/100/ Clusters
GIGE
10 GE
10 GE
To Ca*Net 4
Lake Shore
5200 OFA
l
2
3
Optera 5200 OFA
Photonic
Node
5200 OFA
NWUEN-8 NWUEN-9
S. Federal
Photonic
Node
Photonic
Node 10/100/
GIGE
10/100/
GIGE
10/100/
GIGE
10 GE
Optera
5200
10Gb/s
TSPR
Photonic
Node
l4
PP
8600
10 GE
PP
8600
PP
8600
2
3
4
l
l
l
1
Optera
5200
10Gb/s
TSPR
10 GE
Optera
5200
10Gb/s
TSPR
2
3
4
l
10 GE
Optera
5200
10Gb/s
TSPR
1
l
l
l
2
3
4
l
1310 nm 10 GbE
WAN PHY interfaces
10 GE
PP
8600
…
EVL/UIC
OM5200
INITIAL
CONFIG:
10 LAMBDA
(all GIGE)
LAC/UIC
OM5200
StarLight
Interconnect
with other
research
networks
10GE LAN PHY (Dec 03)
TECH/NU-E
OM5200
CAMPUS
FIBER (4)
INITIAL
CONFIG:
10 LAMBDAS
(ALL GIGE)
Optera Metro 5200 OFA
NWUEN-1
NWUEN-5
NWUEN-2 NWUEN-6
NWUEN-3
NWUEN-4
NWUEN-7
Fiber in use
Fiber not in use
5200 OFA
• 8x8x8l Scalable photonic switch
• Trunk side – 10 G WDM
• OFA on all trunks
33. Fiber power
Relative
Relative
l power
code
Tone
Physical Layer Optical Monitoring and Adjustment
Fault isolation
Set
point DSP Algorithms
A/D
Management & OSC Routing
PPS Control Middleware
D/A
FLIP
Rapid
Detect
OSC cct
PhotoDetector PhotoDetector
OFA tap
D/A
VOA
Power measurement
switch
Switch
Control
AWG Temp.
Control alg.
+ -
D/A
A/D
Heater
AWG
& Measurement
tap
Drivers/data
translation
Connection
verification
Path ID Corr.
Gain
l Leveling Controller
Transient
compensator
Power
Corr.
+ -
LOS
+ -
Photonics
Database
100FX
PHY/MAC
Splitter
Photonic H/W
34. Summary (I)
• Allow applications/services
– to be deployed over the Lambda Data Grid
• Expand OGSA
– for integration with optical network
• Extend OGSI
– interface with optical control
– infrastructure and mechanisms
• Extend GRAM and GARA
– to provide framework for network resources optimization
• Provide generalized framework for multi-party data
scheduling
35. Summary (II)
• Treating the network as a Grid resource
• Circuit switching paradigm moving large amounts of
data over the optical network, quickly and efficiently
• Demonstration of on-demand and advance scheduling
use of the optical network
• Demonstration of under-constrained scheduling
requests
• The optical network as a shared resource
– may be temporarily dedicated to serving individual tasks
– high overall throughput, utilization, and service ratio.
• Potential applications include
– support of E-Science, massive off-site backups, disaster
recovery, commercial data replication (security, data
mining, etc.)
36. Extension of Under-Constrained
Concepts
• Initially, we use simple time windows
• More complex extensions
– any time after 7:30
– within 3 hours after Event B happens
– cost function (time)
– numerical priorities for job requests
Extend (eventually) concept of under- constrained to user-specified
utility functions for costing, priorities, callbacks to request scheduled
jobs to be rerouted/rescheduled (client can say yea or nay)