This paper describes the proposal of a priority flow
oriented design of the Ksensor architecture. Ksensor is a
multiprocessor traffic capture and analysis system for high
speed networks developed at kernel space. While the current
architecture permits the capture and analysis of data flows,
there are several scenarios where it does not perform
adequately to achieve this goal, for example, if a certain type
of traffic is more valuable than others. Thus, this work pursues
the design that allows Ksensor to provide data flow treatment
to a larger extent. This improvement will allow the new
architecture to provide more reliability in data flow capture
and processing.
Fpga implementation of scalable queue manageriaemedu
This document summarizes an article from the International Journal of Electronics and Communication Engineering & Technology about implementing a scalable queue manager on an FPGA. It discusses how traditional per-flow queue managers require a large number of queues that scales with the number of flows, consuming significant memory. The proposed architecture uses dynamic queue sharing to dynamically assign active flows to a limited number of physical queues. It presents algorithms for queue write/read processes and dynamically switching between per-flow and per-class modes. FPGA implementation results show the advanced algorithm reduces memory usage by 27% and device utilization by over 80% compared to dynamic queue sharing alone.
This document discusses an adaptive load balancing algorithm for clusters using content awareness and traffic monitoring. The algorithm uses different queues for different types of requests to distribute load more efficiently compared to using a single queue. It also uses round-trip time passive measurement to select clusters and servers, avoiding additional processing burden. The goal is to improve system performance and reliability through appropriate load distribution among servers based on content type and server load monitoring.
The document summarizes a research paper on developing an automatic reconfiguration technique for large scale reliable storage systems using a membership service (MS) and database query service (dBQS). The MS monitors membership changes and dBQS automatically reconfigures the system. Two algorithms are developed for the MS and dBQS provides Byzantine fault tolerance. Experimental results show the MS can manage large systems and reconfigurations have low overhead.
This document summarizes a paper that proposes and evaluates the performance of a multithreaded architecture capable of exploiting both coarse-grained parallelism and fine-grained instruction-level parallelism. The architecture distributes processing across multiple processing elements connected by an interconnection network. Each processing element supports multiple concurrently executing threads by grouping instructions from different threads. The architecture introduces a distributed data structure cache to reduce network latency when accessing remote data. Simulation results indicate the architecture achieves high processor throughput and the data structure cache significantly reduces network latency.
ORCHESTRATING BULK DATA TRANSFERS ACROSS GEO-DISTRIBUTED DATACENTERSNexgen Technology
bulk ieee projects in pondicherry,ieee projects in pondicherry,final year ieee projects in pondicherry
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
JPJ1403 A Stochastic Model To Investigate Data Center Performance And QoS I...chennaijp
We are good ieee java projects development center in chennai and pondicherry. We guided advanced java techonolgies projects of cloud computing, data mining, Secure Computing, Networking, Parallel & Distributed Systems, Mobile Computing and Service Computing (Web Service).
For More Details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/java-projects/
The document discusses parallel computing platforms and trends in microprocessor architectures that enable implicit parallelism. It covers topics like pipelining, superscalar execution, limitations of memory performance, and how caches can improve effective memory latency. The key points are:
1) Microprocessor clock speeds have increased dramatically but limitations remain regarding memory latency and bandwidth. Parallelism addresses performance bottlenecks in processors, memory, and communication.
2) Techniques like pipelining and superscalar execution exploit implicit parallelism by executing multiple instructions concurrently, but dependencies and branch prediction limit performance gains.
3) Memory latency is often the bottleneck, but caches can reduce effective latency through data reuse and temporal locality.
Dynamic load balancing in distributed systems in the presence of delays a re...Mumbai Academisc
This document summarizes a research paper on dynamic load balancing in distributed systems. It develops an optimal one-shot load balancing policy to reallocate incoming external loads at each node. This is extended into an autonomous and distributed load balancing policy that adapts to the dynamic environment. The performance of this proposed dynamic policy is evaluated in a two-node system and compared to static policies and existing dynamic policies by considering task completion time and system processing rate with random load arrivals.
Fpga implementation of scalable queue manageriaemedu
This document summarizes an article from the International Journal of Electronics and Communication Engineering & Technology about implementing a scalable queue manager on an FPGA. It discusses how traditional per-flow queue managers require a large number of queues that scales with the number of flows, consuming significant memory. The proposed architecture uses dynamic queue sharing to dynamically assign active flows to a limited number of physical queues. It presents algorithms for queue write/read processes and dynamically switching between per-flow and per-class modes. FPGA implementation results show the advanced algorithm reduces memory usage by 27% and device utilization by over 80% compared to dynamic queue sharing alone.
This document discusses an adaptive load balancing algorithm for clusters using content awareness and traffic monitoring. The algorithm uses different queues for different types of requests to distribute load more efficiently compared to using a single queue. It also uses round-trip time passive measurement to select clusters and servers, avoiding additional processing burden. The goal is to improve system performance and reliability through appropriate load distribution among servers based on content type and server load monitoring.
The document summarizes a research paper on developing an automatic reconfiguration technique for large scale reliable storage systems using a membership service (MS) and database query service (dBQS). The MS monitors membership changes and dBQS automatically reconfigures the system. Two algorithms are developed for the MS and dBQS provides Byzantine fault tolerance. Experimental results show the MS can manage large systems and reconfigurations have low overhead.
This document summarizes a paper that proposes and evaluates the performance of a multithreaded architecture capable of exploiting both coarse-grained parallelism and fine-grained instruction-level parallelism. The architecture distributes processing across multiple processing elements connected by an interconnection network. Each processing element supports multiple concurrently executing threads by grouping instructions from different threads. The architecture introduces a distributed data structure cache to reduce network latency when accessing remote data. Simulation results indicate the architecture achieves high processor throughput and the data structure cache significantly reduces network latency.
ORCHESTRATING BULK DATA TRANSFERS ACROSS GEO-DISTRIBUTED DATACENTERSNexgen Technology
bulk ieee projects in pondicherry,ieee projects in pondicherry,final year ieee projects in pondicherry
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
JPJ1403 A Stochastic Model To Investigate Data Center Performance And QoS I...chennaijp
We are good ieee java projects development center in chennai and pondicherry. We guided advanced java techonolgies projects of cloud computing, data mining, Secure Computing, Networking, Parallel & Distributed Systems, Mobile Computing and Service Computing (Web Service).
For More Details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/java-projects/
The document discusses parallel computing platforms and trends in microprocessor architectures that enable implicit parallelism. It covers topics like pipelining, superscalar execution, limitations of memory performance, and how caches can improve effective memory latency. The key points are:
1) Microprocessor clock speeds have increased dramatically but limitations remain regarding memory latency and bandwidth. Parallelism addresses performance bottlenecks in processors, memory, and communication.
2) Techniques like pipelining and superscalar execution exploit implicit parallelism by executing multiple instructions concurrently, but dependencies and branch prediction limit performance gains.
3) Memory latency is often the bottleneck, but caches can reduce effective latency through data reuse and temporal locality.
Dynamic load balancing in distributed systems in the presence of delays a re...Mumbai Academisc
This document summarizes a research paper on dynamic load balancing in distributed systems. It develops an optimal one-shot load balancing policy to reallocate incoming external loads at each node. This is extended into an autonomous and distributed load balancing policy that adapts to the dynamic environment. The performance of this proposed dynamic policy is evaluated in a two-node system and compared to static policies and existing dynamic policies by considering task completion time and system processing rate with random load arrivals.
A study of load distribution algorithms in distributed schedulingeSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Integration of real time software modules for reconfigurable sensPham Ngoc Long
The document describes a framework for integrating reusable real-time software modules in a reconfigurable multi-sensor control system. The framework uses a global database of state variables through which modules can exchange information. Modules are modeled as port automata with input and output ports. A state variable table mechanism implemented in the Chimera II real-time operating system allows modules running on different processors to efficiently communicate and synchronize.
Scheduling in distributed systems - Andrii VozniukAndrii Vozniuk
My EPFL candidacy exam presentation: http://wiki.epfl.ch/edicpublic/documents/Candidacy%20exam/vozniuk_andrii_candidacy_writeup.pdf
Here I present how schedulers work in three distributed data processing systems and their possible optimizations. I consider Gamma - a parallel database, MapReduce - a data-intensive system and Condor - a compute-intensive system.
This talk is based on the following papers:
1) Batch Scheduling in Parallel Database Systems by Manish Mehta, Valery Soloviev and David J. DeWitt
2) Improving MapReduce performance in heterogeneous environments by Matei Zaharia, Andy Konwinski, Anthony D. Joseph, Randy Katz and Ion Stoica
3) Batch Scheduling in Parallel Database Systems by Manish Mehta, Valery Soloviev and David J. DeWitt
Optimization of Remote Core Locking Synchronization in Multithreaded Programs...ITIIIndustries
This paper proposes the algorithms for optimization of Remote Core Locking (RCL) synchronization method in multithreaded programs. The algorithm of initialization of RCL-locks and the algorithms for threads affinity optimization are developed. The algorithms consider the structures of hierarchical computer systems and non-uniform memory access (NUMA) to minimize execution time of RCLprograms. The experimental results on multi-core computer systems represented in the paper shows the reduction of RCLprograms execution time.
This is a presentation for Chapter 7 Distributed system management
Book: DISTRIBUTED COMPUTING , Sunita Mahajan & Seema Shah
Prepared by Students of Computer Science, Ain Shams University - Cairo - Egypt
Compositional Analysis for the Multi-Resource ServerEricsson
The Multi-Resource Server (MRS) technique has been proposed to enable predictable execution of memory intensive real-time applications on COTS multi-core platforms.
This document proposes a design for a concurrent cache that spreads cached data across a cluster of computers. It separates persistent storage from cache storage and implements cached objects as processes to allow for runtime configurability. Each cached datum operates as an independent server process, allowing cached data to be accessed and replaced in parallel. The cache manager process monitors datum processes and maintains a location index. This implementation allows experimentation with cache size, replacement policies, and other performance aspects independently of the underlying data store.
The document discusses load rebalancing in distributed file systems for cloud computing. It notes that existing systems rely on central nodes for load balancing, which does not scale well. The proposed system aims to develop a fully distributed load rebalancing algorithm to address load imbalance among storage nodes in large, dynamic cloud environments consisting of thousands of nodes. The goal is to uniformly distribute file chunks among nodes while minimizing network traffic during rebalancing.
This document discusses resource management techniques in distributed systems. It describes three main approaches: task assignment, load balancing, and load sharing. Task assignment involves scheduling related tasks to optimize performance metrics like turnaround time. Load balancing aims to evenly distribute workloads across nodes to utilize resources efficiently. Load sharing is a simpler approach that prevents idle nodes when others are heavily loaded. The document also outlines desirable properties for scheduling algorithms and categorizes different types of load balancing techniques.
STUDY OF VARIOUS FACTORS AFFECTING PERFORMANCE OF MULTI-CORE PROCESSORSijdpsjournal
Advances in Integrated Circuit processing allow for more microprocessor design options. As Chip Multiprocessor system (CMP) become the predominant topology for leading microprocessors, critical components of the system are now integrated on a single chip. This enables sharing of computation resources that was not previously possible. In addition the virtualization of these computation resources exposes the system to a mix of diverse and competing workloads. On chip Cache memory is a resource of primary concern as it can be dominant in controlling overall throughput. This Paper presents analysis of various parameters affecting the performance of Multi-core Architectures like varying the number of cores, changes L2 cache size, further we have varied directory size from 64 to 2048 entries on a 4 node, 8 node 16 node and 64 node Chip multiprocessor which in turn presents an open area of research on multicore processors with private/shared last level cache as the future trend seems to be towards tiled architecture executing multiple parallel applications with optimized silicon area utilization and excellent performance.
This document summarizes several dynamic cache replication mechanisms: Victim Replication replicates cache lines evicted from the local cache to reduce access latency. Adaptive Selective Replication dynamically adjusts replication based on estimated costs and benefits. Adaptive Probability Replication replicates blocks based on predicted reuse probabilities. Dynamic Reusability-based Replication replicates blocks with high reuse. Locality-Aware Data Replication only replicates high-locality blocks to reduce misses while maintaining low replication overhead. The document provides details on these schemes and compares their approaches to dynamic cache block replication.
This document discusses load balancing in distributed systems. It provides definitions of static and dynamic load balancing, compares their approaches, and describes several dynamic load balancing algorithms. Static load balancing assigns tasks at compile time without migration, while dynamic approaches migrate tasks at runtime based on current system state. Dynamic approaches have overhead from migration but better utilize resources. Specific dynamic algorithms discussed include nearest neighbor, random, adaptive contracting with neighbor, and centralized information approaches.
Load Balancing In Distributed ComputingRicha Singh
Load Balancing In Distributed Computing
The goal of the load balancing algorithms is to maintain the load to each processing element such that all the processing elements become neither overloaded nor idle that means each processing element ideally has equal load at any moment of time during execution to obtain the maximum performance (minimum execution time) of the system
EDF2014: BIG - NESSI Networking Session: Nuria de Lama, Representative to the...European Data Forum
BIG - NESSI Networking Session, Talk by Nuria de Lama, Representative to the European Commission, Research & Innovation ATOS, Spain at the European Data Forum 2014, 20 March 2014 in Athens, Greece: Towards a Big Data Public Private Partnership
TomTom is a navigation and location technology company headquartered in Amsterdam. It has over 3,500 employees worldwide and provides navigation products and services for automotive, consumer, and enterprise customers. TomTom aims to provide the best navigation experience for all drivers and believes that when 10% of drivers use its HD Traffic product, roads will flow more efficiently for everyone. The company monitors social media to understand how consumers use and perceive its products and services in order to engage customers and improve its offerings.
The document describes TomTom's dynamic routing technology which uses identical software both on-board in vehicles and off-board to continuously calculate and update the fastest routes based on real-time traffic conditions, finding better routes than traditional methods and saving users time on their journeys. It allows for fast replanning of routes, dynamic routing that searches for better options, and previewing the best route in advance using a "routing time machine".
This document summarizes funding opportunities for ICT projects in the Horizon 2020 framework program for 2014-2015. It outlines calls for big data, open data, and language technologies projects, including innovation actions to develop new solutions, research projects to advance technologies, and coordination actions. The goals are to help companies build innovative data products, address barriers to data reuse, and crack the language barrier in Europe to facilitate multilingual communication.
EDF2014: Ralf-Peter Schaefer, Head of Traffic Product Unit, TomTom, Germany: ...European Data Forum
Industry Keynote Talk by Ralf-Peter Schaefer, Head of Traffic Product Unit, TomTom, Germany at the European Data Forum 2014, 20 March 2014 in Athens, Greece: Probe Data Analytics and Processing for Traffic Information, Traffic Planning and Traffic Management.
A study of load distribution algorithms in distributed schedulingeSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Integration of real time software modules for reconfigurable sensPham Ngoc Long
The document describes a framework for integrating reusable real-time software modules in a reconfigurable multi-sensor control system. The framework uses a global database of state variables through which modules can exchange information. Modules are modeled as port automata with input and output ports. A state variable table mechanism implemented in the Chimera II real-time operating system allows modules running on different processors to efficiently communicate and synchronize.
Scheduling in distributed systems - Andrii VozniukAndrii Vozniuk
My EPFL candidacy exam presentation: http://wiki.epfl.ch/edicpublic/documents/Candidacy%20exam/vozniuk_andrii_candidacy_writeup.pdf
Here I present how schedulers work in three distributed data processing systems and their possible optimizations. I consider Gamma - a parallel database, MapReduce - a data-intensive system and Condor - a compute-intensive system.
This talk is based on the following papers:
1) Batch Scheduling in Parallel Database Systems by Manish Mehta, Valery Soloviev and David J. DeWitt
2) Improving MapReduce performance in heterogeneous environments by Matei Zaharia, Andy Konwinski, Anthony D. Joseph, Randy Katz and Ion Stoica
3) Batch Scheduling in Parallel Database Systems by Manish Mehta, Valery Soloviev and David J. DeWitt
Optimization of Remote Core Locking Synchronization in Multithreaded Programs...ITIIIndustries
This paper proposes the algorithms for optimization of Remote Core Locking (RCL) synchronization method in multithreaded programs. The algorithm of initialization of RCL-locks and the algorithms for threads affinity optimization are developed. The algorithms consider the structures of hierarchical computer systems and non-uniform memory access (NUMA) to minimize execution time of RCLprograms. The experimental results on multi-core computer systems represented in the paper shows the reduction of RCLprograms execution time.
This is a presentation for Chapter 7 Distributed system management
Book: DISTRIBUTED COMPUTING , Sunita Mahajan & Seema Shah
Prepared by Students of Computer Science, Ain Shams University - Cairo - Egypt
Compositional Analysis for the Multi-Resource ServerEricsson
The Multi-Resource Server (MRS) technique has been proposed to enable predictable execution of memory intensive real-time applications on COTS multi-core platforms.
This document proposes a design for a concurrent cache that spreads cached data across a cluster of computers. It separates persistent storage from cache storage and implements cached objects as processes to allow for runtime configurability. Each cached datum operates as an independent server process, allowing cached data to be accessed and replaced in parallel. The cache manager process monitors datum processes and maintains a location index. This implementation allows experimentation with cache size, replacement policies, and other performance aspects independently of the underlying data store.
The document discusses load rebalancing in distributed file systems for cloud computing. It notes that existing systems rely on central nodes for load balancing, which does not scale well. The proposed system aims to develop a fully distributed load rebalancing algorithm to address load imbalance among storage nodes in large, dynamic cloud environments consisting of thousands of nodes. The goal is to uniformly distribute file chunks among nodes while minimizing network traffic during rebalancing.
This document discusses resource management techniques in distributed systems. It describes three main approaches: task assignment, load balancing, and load sharing. Task assignment involves scheduling related tasks to optimize performance metrics like turnaround time. Load balancing aims to evenly distribute workloads across nodes to utilize resources efficiently. Load sharing is a simpler approach that prevents idle nodes when others are heavily loaded. The document also outlines desirable properties for scheduling algorithms and categorizes different types of load balancing techniques.
STUDY OF VARIOUS FACTORS AFFECTING PERFORMANCE OF MULTI-CORE PROCESSORSijdpsjournal
Advances in Integrated Circuit processing allow for more microprocessor design options. As Chip Multiprocessor system (CMP) become the predominant topology for leading microprocessors, critical components of the system are now integrated on a single chip. This enables sharing of computation resources that was not previously possible. In addition the virtualization of these computation resources exposes the system to a mix of diverse and competing workloads. On chip Cache memory is a resource of primary concern as it can be dominant in controlling overall throughput. This Paper presents analysis of various parameters affecting the performance of Multi-core Architectures like varying the number of cores, changes L2 cache size, further we have varied directory size from 64 to 2048 entries on a 4 node, 8 node 16 node and 64 node Chip multiprocessor which in turn presents an open area of research on multicore processors with private/shared last level cache as the future trend seems to be towards tiled architecture executing multiple parallel applications with optimized silicon area utilization and excellent performance.
This document summarizes several dynamic cache replication mechanisms: Victim Replication replicates cache lines evicted from the local cache to reduce access latency. Adaptive Selective Replication dynamically adjusts replication based on estimated costs and benefits. Adaptive Probability Replication replicates blocks based on predicted reuse probabilities. Dynamic Reusability-based Replication replicates blocks with high reuse. Locality-Aware Data Replication only replicates high-locality blocks to reduce misses while maintaining low replication overhead. The document provides details on these schemes and compares their approaches to dynamic cache block replication.
This document discusses load balancing in distributed systems. It provides definitions of static and dynamic load balancing, compares their approaches, and describes several dynamic load balancing algorithms. Static load balancing assigns tasks at compile time without migration, while dynamic approaches migrate tasks at runtime based on current system state. Dynamic approaches have overhead from migration but better utilize resources. Specific dynamic algorithms discussed include nearest neighbor, random, adaptive contracting with neighbor, and centralized information approaches.
Load Balancing In Distributed ComputingRicha Singh
Load Balancing In Distributed Computing
The goal of the load balancing algorithms is to maintain the load to each processing element such that all the processing elements become neither overloaded nor idle that means each processing element ideally has equal load at any moment of time during execution to obtain the maximum performance (minimum execution time) of the system
EDF2014: BIG - NESSI Networking Session: Nuria de Lama, Representative to the...European Data Forum
BIG - NESSI Networking Session, Talk by Nuria de Lama, Representative to the European Commission, Research & Innovation ATOS, Spain at the European Data Forum 2014, 20 March 2014 in Athens, Greece: Towards a Big Data Public Private Partnership
TomTom is a navigation and location technology company headquartered in Amsterdam. It has over 3,500 employees worldwide and provides navigation products and services for automotive, consumer, and enterprise customers. TomTom aims to provide the best navigation experience for all drivers and believes that when 10% of drivers use its HD Traffic product, roads will flow more efficiently for everyone. The company monitors social media to understand how consumers use and perceive its products and services in order to engage customers and improve its offerings.
The document describes TomTom's dynamic routing technology which uses identical software both on-board in vehicles and off-board to continuously calculate and update the fastest routes based on real-time traffic conditions, finding better routes than traditional methods and saving users time on their journeys. It allows for fast replanning of routes, dynamic routing that searches for better options, and previewing the best route in advance using a "routing time machine".
This document summarizes funding opportunities for ICT projects in the Horizon 2020 framework program for 2014-2015. It outlines calls for big data, open data, and language technologies projects, including innovation actions to develop new solutions, research projects to advance technologies, and coordination actions. The goals are to help companies build innovative data products, address barriers to data reuse, and crack the language barrier in Europe to facilitate multilingual communication.
EDF2014: Ralf-Peter Schaefer, Head of Traffic Product Unit, TomTom, Germany: ...European Data Forum
Industry Keynote Talk by Ralf-Peter Schaefer, Head of Traffic Product Unit, TomTom, Germany at the European Data Forum 2014, 20 March 2014 in Athens, Greece: Probe Data Analytics and Processing for Traffic Information, Traffic Planning and Traffic Management.
This document summarizes an article from the International Journal of Electronics and Communication Engineering & Technology about implementing a scalable queue manager on an FPGA. It discusses how traditional per-flow queue managers require a large number of queues that scales with the number of flows, consuming significant memory. The proposed architecture uses dynamic queue sharing to allocate a limited number of physical queues for active flows only. It can operate in per-flow or per-class modes depending on traffic conditions to reduce queue exhaustion. The algorithms were implemented on an FPGA and showed reductions in required memory and device utilization compared to only using dynamic queue sharing.
Soft Real-Time Guarantee for Control Applications Using Both Measurement and ...CSCJournals
This document presents a probabilistic admission control algorithm for supporting soft real-time control applications over switched Ethernet networks. The algorithm uses both measurement and analytical techniques. It measures baseline delays with no competing traffic to characterize fixed delay components. It then provides an efficient method to estimate queueing delays for heterogeneous periodic flows in order to determine admission probabilities that ensure flow deadlines are met with high probability. The algorithm was implemented on Windows and experiments validated its effectiveness in admitting new flows while maintaining soft real-time guarantees for existing flows.
Orchestrating bulk data transfers acrossnexgentech15
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
Orchestrating Bulk Data Transfers across Geo-Distributed Datacentersnexgentechnology
bulk ieee projects in pondicherry,ieee projects in pondicherry,final year ieee projects in pondicherry
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
Wireless networks of microelectromechanical systems have
been envisioned since the 1990s, when early concepts such as
Smart Dust introduced the idea of computers equipped with
sensors and simple radio transceivers.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
This document discusses approaches for monitoring resource utilization in massively parallel processing (MPP) databases running on Kubernetes clusters. It first provides background on MPP databases and container orchestration using Kubernetes. It then describes Teradata's Aster Engine deployed on Kubernetes and compares various options for monitoring cluster-level and query-level resource usage in Aster Engine. The document recommends using Heapster for cluster-level monitoring due to its ease of deployment and integration with Kubernetes, and developing a custom solution for query-level resource monitoring in Aster Engine.
The document discusses improving the file transfer service (FTS3) at CERN. It describes two aspects: 1) selecting the best source site for file transfers from among multiple replicas by considering factors like throughput and success rate, not just pending files, and 2) maximizing throughput across the WLCG network by increasing TCP buffer sizes either through Linux auto-tuning or manual configuration. Evaluating different techniques for setting optimal TCP buffer sizes could help effectively utilize available network resources and increase FTS3 transfer speeds.
Microx - A Unix like kernel for Embedded Systems written from scratch.Waqar Sheikh
Microx is a new operating system kernel designed for embedded systems. It is small, streamlined, and efficient. Microx is POSIX compliant and has a similar ABI to Linux, allowing Linux programs to run unmodified. It has a monolithic kernel design and supports over 150 system calls. Microx provides a capable UNIX-like kernel that is easy to customize and modify for embedded applications. It implements common kernel components like processes, memory management, filesystems, and networking. Benchmarking shows it has good performance compared to Linux. Microx also includes integrated firewall and quality of service functionality.
A DDS-Based Scalable and Reconfigurable Framework for Cyber-Physical Systemsijseajournal
Cyber-Physical Systems (CPSs) involve the interconnection of heterogeneous computing devices which are
closely integrated with the physical processes under control. Often, these systems are resource-constrained
and require specific features such as the ability to adapt in a timeliness and efficient fashion to dynamic
environments. Also, they must support fault tolerance and avoid single points of failure. This paper
describes a scalable framework for CPSs based on the OMG DDS standard. The proposed solution allows
reconfiguring this kind of systems at run-time and managing efficiently their resources.
Distributed Taps are intelligent, hardware-based network traffic capture devices designed to passively tap inline networks or connect to SPAN ports for capturing and forwarding traffic to monitoring or security tools.
Minimum Process Coordinated Checkpointing Scheme For Ad Hoc Networks pijans
The wireless mobile ad hoc network (MANET) architecture is one consisting of a set of mobile hosts
capable of communicating with each other without the assistance of base stations. This has made possible
creating a mobile distributed computing environment and has also brought several new challenges in
distributed protocol design. In this paper, we study a very fundamental problem, the fault tolerance
problem, in a MANET environment and propose a minimum process coordinated checkpointing scheme.
Since potential problems of this new environment are insufficient power and limited storage capacity, the
proposed scheme tries to reduce the amount of information saved for recovery. The MANET structure used
in our algorithm is hierarchical based. The scheme is based for Cluster Based Routing Protocol (CBRP)
which belongs to a class of Hierarchical Reactive routing protocols. The protocol proposed by us is nonblocking coordinated checkpointing algorithm suitable for ad hoc environments. It produces a consistent
set of checkpoints; the algorithm makes sure that only minimum number of nodes in the cluster are
required to take checkpoints; it uses very few control messages. Performance analysis shows that our
algorithm outperforms the existing related works and is a novel idea in the field. Firstly, we describe an
organization of the cluster. Then we propose a minimum process coordinated checkpointing scheme for
cluster based ad hoc routing protocols.
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
ENHANCING AND MEASURING THE PERFORMANCE IN SOFTWARE DEFINED NETWORKINGIJCNCJournal
Software Defined Networking (SDN) is a challenging chapter in today’s networking era. It is a network design approach that engages the framework to be controlled or 'altered' adroitly and halfway using programming applications. SDN is a serious advancement that assures to provide a better strategy than displaying the Quality of Service (QoS) approach in the present correspondence frameworks. SDN etymologically changes the lead and convenience of system instruments using the single high state program. It separates the system control and sending functions, empowering the network control to end up specifically. It provides more functionality and more flexibility than the traditional networks. A network administrator can easily shape the traffic without touching any individual switches and services which are needed in a network. The main technology for implementing SDN is a separation of data plane and control plane, network virtualization through programmability. The total amount of time in which user can respond is called response time. Throughput is known as how fast a network can send data. In this paper, we have design a network through which we have measured the Response Time and Throughput comparing with the Real-time Online Interactive Applications (ROIA), Multiple Packet Scheduler, and NOX.
Dynamic Resource Allocation Algorithm using ContainersIRJET Journal
1) The document proposes a dynamic resource allocation algorithm using containers to optimize resource utilization in server farms.
2) It uses Docker to deploy applications in lightweight containers instead of virtual machines to reduce overhead. A node selection algorithm uses fuzzy logic to determine the most suitable node for container deployment based on resource availability and workload.
3) The proposed approach is tested on a small cluster using Docker, Hadoop and the node selection algorithm to process queries. Results show increased processing speed and better resource utilization compared to traditional virtualization methods.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
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Performance of a speculative transmission scheme for scheduling latency reduc...Mumbai Academisc
This document proposes a speculative transmission scheme to reduce latency in input-queued centrally-scheduled cell switches for high-performance computing. The scheme allows cells to proceed without waiting for a grant under certain conditions, significantly reducing average control-path latency. Using this model, performance measures like mean delay and successful speculative transmission rate are derived. Results show latency can be almost entirely eliminated between request and response for loads up to 50%. Simulations confirm the analytical results.
Active Network is a novel approach of networking to mobile users in which the nodes are programmed to perform custom operations on the messages that pass through the node. It provides an architectural support for dynamically deploying new protocols in an existing network topology. The routers in an active network can download and execute code that is contained in the packets passing through them, thus rendering the node recognized and run totally new protocols without making any changes to the architecture of the network. Because the network's behavior can be altered at any time, active networks could be used to provide dynamic quality of service (QoS) or to support dynamic solutions to traffic congestion. This research implements and tests such specialized Active Networks security service known as the firewall and the ping service in Active Network. Active Network environment will be implemented on a small scale test scenario in order to study the performance and characteristics of active networks
Dynamic classification in silicon-based forwarding engine environmentsTal Lavian Ph.D.
Current network devices enable connectivity between end systems with support for routing with a defined set of protocol software bundled with the hardware. These devices do not support user customization or the introduction of new software applications. Programmable network devices allow for the dynamic downloading of customized programs into network devices allowing for the introduction of new protocols and network services. The Oplet Runtime Environment (ORE) is a programmable network architecture built on a Gigabit Ethernet L3 Routing Switch to support downloadable services. Complementing the ORE, we introduce the JFWD API, a uniform, platform-independent portal through which application programmers control the forwarding engines of heterogeneous network nodes (e.g., switches and routers). Using the JFWD API, an ORE service has been implemented to classify and dynamically adjust packet handling on silicon-based network devices.
Similar to A Kernel-Level Traffic Probe to Capture and Analyze Data Flows with Priorities (20)
This document summarizes a research paper that proposes using an artificial neural network tuned by a simulated annealing algorithm for real-time credit card fraud detection. The paper describes how simulated annealing can be used to train the weights of a neural network model to classify credit card transactions as fraudulent or non-fraudulent based on attributes of past transactions. The algorithm is tested on a real-world credit card transaction dataset and is found to effectively classify most transactions correctly, though some misclassifications still occur.
Wireless sensor networks (WSN) have been widely used in various applications.
In these networks nodes collect data from the attached sensors and send their data to a base
station. However, nodes in WSN have limited power supply in form of battery so the nodes
are expected to minimize energy consumption in order to maximize the lifetime of WSN. A
number of techniques have been proposed in the literature to reduce the energy
consumption significantly. In this paper, we propose a new clustering based technique
which is a modification of the popular LEACH algorithm. In this technique, first cluster
heads are elected using the improved LEACH algorithm as usual, and then a cluster of
nodes is formed based on the distance between node and cluster head. Finally, data from
node is transferred to cluster head. Cluster heads forward data, after applying aggregation,
to the cluster head that is closer to it than sink in forward direction or directly to the sink.
This reduction in distance travelled improves the performance over LEACH algorithm
significantly.
This document provides an overview of vertical handover decision strategies in heterogeneous wireless networks. It begins with an introduction to always best connectivity requirements in next generation networks that allow users to move between different network technologies. It then discusses the key aspects of handover management, including the three phases of initiation, decision, and execution. Various criteria for the handover decision process are described, such as received signal strength, network connection time, available bandwidth, power consumption, cost, security, and user preferences. Different types of handover decision strategies are categorized, including those based on network conditions, user preferences, multiple attributes, fuzzy logic/neural networks, and context awareness. The strategies are analyzed and their advantages/disadvantages compared.
This paper presents the design and performance comparison of a two stage
operational amplifier topology using CMOS and BiCMOS technology. This conventional op
amp circuit was designed by using RF model of BSIM3V3 in 0.6 μm CMOS technology and
0.35 μm BiCMOS technology. Both the op amp circuits were designed and simulated,
analyzed and performance parameters are compared. The performance parameters such as
gain, phase margin, CMRR, PSRR, power consumption etc achieved are compared. Finally,
we conclude the suitability of CMOS technology over BiCMOS technology for low power
RF design.
In Cognitive Radio Networks (CRN), Cooperative Spectrum Sensing (CSS) is
used to improve performance of spectrum sensing techniques used for detection of licensed
(Primary) user’s signal. In CSS, the spectrum sensing information from multiple unlicensed
(Secondary) users are combined to take final decision about presence of primary signal. The
mixing techniques used to generate final decision about presence of PU’s signal are also
called as Fusion techniques / rules. The fusion techniques are further classified as data
fusion and decision fusion techniques. In data fusion technique all the secondary users
(SUs) share their raw information of spectrum detection like detected energy or other
statistical information, while in decision fusion technique all the SUs take their local
decisions and share the decision by sending ‘0’ or ‘1’ corresponding to absence and presence
of PU’s signal respectively. The rules used in decision fusion techniques are OR rule, AND
rule and K-out-of-N rule. The CSS is further classified as distributed CSS and centralized
CSS. In distributed CSS all the SUs share the spectrum detection information with each
other and by mixing the shared information; all the SUs take final decision individually. In
centralized CSS all the SUs send their detected information to a secondary base station /
central unit which combines the shared information and takes final decision. The secondary
base station shares the final decision with all the SUs in the CRN. This paper covers
overview of information fusion methods used for CSS and analysis of decision fusion rules
with simulation results.
This paper analyzes the impact of network scalability on various physical attributes of Zigbee networks. Simulations were conducted using Qualnet to evaluate the performance of the Zigbee physical layer based on energy consumption and throughput. Energy consumption was analyzed for different modulation schemes (ASK, BPSK, OQPSK), network sizes (2-50 nodes), and clear channel assessment modes. The results showed that OQPSK and ASK had lower energy consumption than BPSK. Throughput was highest for OQPSK. While carrier sense had slightly higher throughput than other CCA modes, the energy consumption differences between CCA modes were minor.
This paper gives a brief idea of the moving objects tracking and its application.
In sport it is challenging to track and detect motion of players in video frames. Task
represents optical flow analysis to do motion detection and particle filter to track players
and taking consideration of regions with movement of players in sports video. Optical flow
vector calculation gives motion of players in video frame. This paper presents improved
Luacs Kanade algorithm explained for optical flow computation for large displacement and
more accuracy in motion estimation.
A rapid progress is seen in the field of robotics both in educational and industrial
automation sectors. The Robotics education in particular is gaining technological advances
and providing more learning opportunities. In automotive sector, there is a necessity and
demand to automate daily human activities by robot. With such an advancement and
demand for robotics, the realization of a popular computer game will help students to learn
and acquire skills in the field of robotics. The computer game such as Pacman offers
challenges on both software and hardware fronts. In software, it provides challenges in
developing algorithms for a robot to escape from the pool of attacking robots and to develop
algorithms for multiple ghost robots to attack the Pacman. On the hardware front, it
provides a challenge to integrate various systems to realize the game. This project aims to
demonstrate the pacman game in real world as well as in simulation. For simulation
purpose Player/Stage is used to develop single-client and multi-client architectures. The
multi- client architecture in player/stage uses one global simulation proxy to which all the
robot models are connected. This reduces the overhead to manage multiple robots proxy.
The single-client architecture enables only two robot models to connect to the simulation
proxy. Multi-client approach offers flexibility to add sensors to each port which will be used
distinctly by the client attached to the respective robot. The robots are named as Pacman
and Ghosts, which try to escape and attack respectively. Use of Network Camera has been
done to detect the global positions of the robots and data is shared through inter-process
communication.
In Content-Based Image Retrieval (CBIR) systems, the visual contents of the
images in the database are took out and represented by multi-dimensional characteristic
vectors. A well known CBIR system that retrieves images by unsupervised method known
as cluster based image retrieval system. For enhancing the performance and retrieval rate
of CBIR system, we fuse the visual contents of an image. Recently, we developed two
cluster-based CBIR systems by fusing the scores of two visual contents of an image. In this
paper, we analyzed the performance of the two recommended CBIR systems at different
levels of precision using images of varying sizes and resolutions. We also compared the
performance of the recommended systems with that of the other two existing CBIR systems
namely UFM and CLUE. Experimentally, we find that the recommended systems
outperform the other two existing systems and one recommended system also comparatively
performed better in every resolution of image.
Information Systems and Networks are subjected to electronic attacks. When
network attacks hit, organizations are thrown into crisis mode. From the IT department to
call centers, to the board room and beyond, all are fraught with danger until the situation is
under control. Traditional methods which are used to overcome these threats (e.g. firewall,
antivirus software, password protection etc.) do not provide complete security to the system.
This encourages the researchers to develop an Intrusion Detection System which is capable
of detecting and responding to such events. This review paper presents a comprehensive
study of Genetic Algorithm (GA) based Intrusion Detection System (IDS). It provides a
brief overview of rule-based IDS, elaborates the implementation issues of Genetic Algorithm
and also presents a comparative analysis of existing studies.
Step by step operations by which we make a group of objects in which attributes
of all the objects are nearly similar, known as clustering. So, a cluster is a collection of
objects that acquire nearly same attribute values. The property of an object in a cluster is
similar to other objects in same cluster but different with objects of other clusters.
Clustering is used in wide range of applications like pattern recognition, image processing,
data analysis, machine learning etc. Nowadays, more attention has been put on categorical
data rather than numerical data. Where, the range of numerical attributes organizes in a
class like small, medium, high, and so on. There is wide range of algorithm that used to
make clusters of given categorical data. Our approach is to enhance the working on well-
known clustering algorithm k-modes to improve accuracy of algorithm. We proposed a new
approach named “High Accuracy Clustering Algorithm for Categorical datasets”.
Brain tumor is a malformed growth of cells within brain which may be
cancerous or non-cancerous. The term ‘malformed’ indicates the existence of tumor. The
tumor may be benign or malignant and it needs medical support for further classification.
Brain tumor must be detected, diagnosed and evaluated in earliest stage. The medical
problems become grave if tumor is detected at the later stage. Out of various technologies
available for diagnosis of brain tumor, MRI is the preferred technology which enables the
diagnosis and evaluation of brain tumor. The current work presents various clustering
techniques that are employed to detect brain tumor. The classification involves classification
of images into normal and malformed (if detected the tumor). The algorithm deals with
steps such as preprocessing, segmentation, feature extraction and classification of MR brain
images. Finally, the confirmatory step is specifying the tumor area by technique called
region of interest.
A Proxy signature scheme enables a proxy signer to sign a message on behalf of
the original signer. In this paper, we propose ECDLP based solution for chen et. al [1]
scheme. We describe efficient and secure Proxy multi signature scheme that satisfy all the
proxy requirements and require only elliptic curve multiplication and elliptic curve addition
which needs less computation overhead compared to modular exponentiations also our
scheme is withstand against original signer forgery and public key substitution attack.
This document proposes a digital watermarking technique using LSB replacement with secret key insertion for enhanced data security. The technique works by inserting a watermark into the least significant bits of pixels in an image. A secret key is also inserted during transmission for additional security. The watermarked image is generated without noticeably impacting image quality. The proposed method was tested on sample images and successfully embedded watermarks while maintaining visual quality. The technique aims to provide copyright protection and authentication of digital images and documents.
Today among various medium of data transmission or storage our sensitive data
are not secured with a third-party, that we used to take help of. Cryptography plays an
important role in securing our data from malicious attack. This paper present a partial
image encryption based on bit-planes permutation using Peter De Jong chaotic map for
secure image transmission and storage. The proposed partial image encryption is a raw data
encryption method where bits of some bit-planes are shuffled among other bit-planes based
on chaotic maps proposed by Peter De Jong. By using the chaotic behavior of the Peter De
Jong map the position of all the bit-planes are permuted. The result of the several
experimental, correlation analysis and sensitivity test shows that the proposed image
encryption scheme provides an efficient and secure way for real-time image encryption and
decryption.
This paper presents a survey of Dependency Analysis of Service Oriented
Architecture (SOA) based systems. SOA presents newer aspects of dependency analysis due
to its different architectural style and programming paradigm. This paper surveys the
previous work taken on dependency analysis of service oriented systems. This study shows
the strengths and weaknesses of current approaches and tools available for dependency
analysis task in context of SOA. The main motivation of this work is to summarize the
recent approaches in this field of research, identify major issue and challenges in
dependency analysis of SOA based systems and motivate further research on this topic.
In this paper, proposed a novel implementation of a Soft-Core system using
micro-blaze processor with virtex-5 FPGA. Till now Hard-Core processors are used in
FPGA processor cores. Hard cores are a fixed gate-level IP functions within the FPGA
fabrics. Now the proposed processor is Soft-Core Processor, this is a microprocessor fully
described in software, usually in an HDL. This can be implemented by using EDK tool. In
this paper, developed a system which is having a micro-blaze processor is the combination
of both hardware & Software. By using this system, user can control and communicate all
the peripherals which are in the supported board by using Xilinx platform to develop an
embedded system. Implementing of Soft-Core process system with different peripherals like
UART interface, SPA flash interface, SRAM interface has to be designed using Xilinx
Embedded Development Kit (EDK) tools.
The article presents a simple algorithm to construct minimum spanning tree and
to find shortest path between pair of vertices in a graph. Our illustration includes the proof
of termination. The complexity analysis and simulation results have also been included.
Wimax technology has reshaped the framework of broadband wireless internet
service. It provides the internet service to unconnected or detached areas such as east South
Africa, rural areas of America and Asia region. Full duplex helpers employed with one of
the relay stations selection and indexing method that is Randomized Distributed Space Time
are used to expand the coverage area of primary Wimax station. The basic problem was
identified at cell edge due to weather conditions (rain, fog), insertion of destruction because
of multiple paths in the same communication channel and due to interference created by
other users in that communication. It is impractical task for the receiver station to decode
the transmitted signal successfully at the cell edges, which increases the high packet loss and
retransmissions. But Wimax is a outstanding technology which is used for improving the
quality of internet service and also it offers various services like Voice over Internet
Protocol, Video conferencing and Multimedia broadcast etc where a little delay in packet
transmission can cause a big loss in the communication. Even setup and initialization of
another Wimax station nearer to each other is not a good alternate, where any mobile
station can easily handover to another base station if it gets a strong signal from other one.
But in rural areas, for few numbers of customers, installation of base station nearer to each
other is costlier task. In this review article, we present a scheme using R-DSTC technique to
choose and select helpers (relay nodes) randomly to expand the coverage area and help to
mobile station as a helper to provide secure communication with base station. In this work,
we use full duplex helpers for better utilization of bandwidth.
Radio Frequency identification (RFID) technology has become emerging
technique for tracking and items identification. Depend upon the function; various RFID
technologies could be used. Drawback of passive RFID technology, associated to the range
of reading tags and assurance in difficult environmental condition, puts boundaries on
performance in the real life situation [1]. To improve the range of reading tags and
assurance, we consider implementing active backscattering tag technology. For making
mobiles of multiple radio standards in 4G network; the Software Defined Radio (SDR)
technology is used. Restrictions in Existing RFID technologies and SDR technology, can be
eliminated by the development and implementation of the Software Defined Radio (SDR)
active backscattering tag compatible with the EPC global UHF Class 1 Generation 2 (Gen2)
RFID standard. Such technology can be used for many of applications and services.