High Performance and Alleviated Hot-spot Problem in Processor Frontend with Enhanced Instruction Fetch Bandwidth Utilization

2006 ◽  
Author(s):  
P. Rajamani ◽  
J.P. Shah ◽  
V. Sankaranarayanan ◽  
R. Sangireddy
Keyword(s):  
High Performance ◽  
Hot Spot ◽  
Bandwidth Utilization ◽  
Instruction Fetch ◽  
Fetch Bandwidth ◽  
Hot Spot Problem

Energy Efficient Clustering and Routing Algorithm for WSN

2019 ◽  
Vol 12 ◽  
Author(s):  
Mohit Kumar ◽  
Sonu Mittal ◽  
Md. Amir Khusru Akhtar
Keyword(s):  
Energy Consumption ◽  
Network Lifetime ◽  
Energy Efficient ◽  
Hot Spot ◽  
Routing Algorithm ◽  
Relay Node ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Efficient Clustering ◽  
Hot Spot Problem

Background: This paper presents a novel Energy Efficient Clustering and Routing Algorithm (EECRA) for WSN. It is a clustering-based algorithm that minimizes energy dissipation in wireless sensor networks. The proposed algorithm takes into consideration energy conservation of the nodes through its inherent architecture and load balancing technique. In the proposed algorithm the role of inter-cluster transmission is not performed by gateways instead a chosen member node of respective cluster is responsible for data forwarding to another cluster or directly to the sink. Our algorithm eases out the load of the gateways by distributing the transmission load among chosen sensor node which acts as a relay node for inter-cluster communication for that round. Grievous simulations show that EECRA is better than PBCA and other algorithms in terms of energy consumption per round and network lifetime. Objective: The objective of this research lies in its inherent architecture and load balancing technique. The sole purpose of this clustering-based algorithm is that it minimizes energy dissipation in wireless sensor networks. Method: This algorithm is tested with 100 sensor nodes and 10 gateways deployed in the target area of 300m × 300m. The round assumed in this simulation is same as in LEACH. The performance metrics used for comparisons are (a) network lifetime of gateways and (b) energy consumption per round by gateways. Our algorithm gives superior result compared to LBC, EELBCA and PBCA. Fig 6 and Fig 7 shows the comparison between the algorithms. Results: The simulation was performed on MATLAB version R2012b. The performance of EECRA is compared with some existing algorithms like PBCA, EELBCA and LBCA. The comparative analysis shows that the proposed algorithm outperforms the other existing algorithms in terms of network lifetime and energy consumption. Conclusion: The novelty of this algorithm lies in the fact that the gateways are not responsible for inter-cluster forwarding, instead some sensor nodes are chosen in every cluster based on some cost function and they act as a relay node for data forwarding. Note the algorithm does not address the hot-spot problem. Our next endeavor will be to design an algorithm with consideration of hot-spot problem.

Research on In Situ Anionic Polymerization of PA6/PI Alloy

2011 ◽  
Vol 295-297 ◽  
pp. 21-25
Author(s):  
Hong Kai Zhao ◽  
Li Guang Xiao ◽  
Hong Jie Wang
Keyword(s):  
Molecular Weight ◽  
Bisphenol A ◽  
High Performance ◽  
Hot Spot ◽  
Microscopic Analysis ◽  
Infrared Analysis ◽  
Elongation At Break ◽  
System Temperature ◽  
Lamellar Crystals

High performance trend of plastics has become a hot spot of current research. Select bisphenol A dianhydride and bisphenol A diamine with excellent water resistance as the reactant monomers to obtain anhydride-terminated polyimide with very high molecular weight by two-step polymerization, graft the active radicals of acyl caprolactam using the activity of anhydride and obtain PI modified nylon resin by polymerization.When the system temperature is above 160 °C and the added modifiers are greater than 10%, the system viscosity increases very fast; when the system temperature reaches 140 °C and the added modifiers are at 5%, the system viscosity increases very slowly. It is proved that the reaction in each above step is successful through infrared analysis. The mechanical properties of modified PI nylon increases with the increase of consumption and molecular weight of polyimide, when the molecular weight is selected to be about 8000~10000 and the adding amount is 10wt%~15 wt%, the tensile strength reaches over 85MPa, the notch impact strength is increased to 19.6kJ.m-2 and the elongation at break reaches 18%, which are remarkably better than general engineering plastics.Through microscopic analysis, the molecules of polyimide does not enter crystallization phase of nylon resin, but forms compact lamellar crystals existing in nylon matrix.

Type 2 Fuzzy Logic based Unequal Clustering algorithm for multi-hop wireless sensor networks

2020 ◽  
pp. 33-46
Author(s):  
A. Sariga ◽  
◽  
◽  
J. Uthayakumar
Keyword(s):  
Fuzzy Logic ◽  
Energy Consumption ◽  
Network Lifetime ◽  
Clustering Algorithm ◽  
Hot Spot ◽  
Wireless Sensor ◽  
Unequal Clustering ◽  
Clustering Protocols ◽  
Hot Spot Problem

Wireless sensor network (WSN) is an integral part of IoT and Maximizing the network lifetime is a challenging task. Clustering is the most popular energy efficient technique which leads to increased lifetime stability and reduced energy consumption. Though clustering offers several advantages, it eventually raises the burden of CHs located in proximity to the Base Station (BS) in multi-hop data transmission which makes the CHs near BS die earlier than other CHs. This issue is termed as hot spot problem and unequal clustering protocols were introduced to handle it. Presently, some of the clustering protocols are developed using Type-2 Fuzzy Logic (T2FL) but none of them addresses hot spot problem. This paper presents a Type-2 Fuzzy Logic based Unequal Clustering Algorithm (T2FLUCA) for the elimination of hot spot problem and also for lifetime maximization of WSN. The proposed algorithm uses residual energy, distance to BS and node degree as input to T2FL to determine the probability of becoming CHs (PCH) and cluster size. For experimentation, T2FLUCA is tested on three different scenarios and the obtained results are compared with LEACH, TEEN, DEEC and EAUCF in terms of network lifetime, throughput and average energy consumption. The experimental results ensure that T2FLUCA outperforms state of art methods in a significant way.

Gurtin-Type Quasi-Variational Principle of Intelligent Structure Based on Nonlinear Theory

2010 ◽  
Vol 148-149 ◽  
pp. 1291-1295 ◽  
Author(s):  
Zong Min Liu ◽  
Hai Yan Song ◽  
Ji Ze Mao
Keyword(s):  
Variational Principle ◽  
Research And Development ◽  
Linear Theory ◽  
Nonlinear Theory ◽  
High Performance ◽  
Hot Spot ◽  
Large Strain ◽  
High Strength ◽  
Intelligent Structure ◽  
Intelligent Material

Intelligent structure is consistently identified as one of techniques getting much attention in the 21 century. With the research and development of intelligent material with large strain, high strength and high performance, the study on the non-linear theory of intelligent structure is a hot spot for research in the future. Based on nonlinear theory, Gurtin-type quasi-variational principle of nonlinear intelligent structure is established in this paper. Finally, some correlative problems are discussed.

OPIOM: OFF-PROCESSOR IO WITH MYRINET

2001 ◽  
Vol 11 (02n03) ◽  
pp. 237-250
Author(s):  
PATRICK GEOFFRAY
Keyword(s):  
High Performance ◽  
Cluster Computing ◽  
Hot Spot ◽  
Area Network ◽  
Embedded Memory ◽  
Storage Area Network ◽  
Storage Network ◽  
Storage Area ◽  
Kernel Level ◽  
Performance Computing

As processors become more powerful and clusters larger, users will exploit this increased power to progressively run larger and larger problems. Today's datasets in biology, physics or multimedia applications are huge and require high performance storage sub-systems. As a result, the hot spot of cluster computing is gradually moving from high performance computing to high performance IO. The solutions proposed by the parallel file-system community try to improve performance by working at the kernel level to enhance the regular IO design or by using a dedicated Storage Area Network like Fiber Channel. We propose a new design to merge the communication network and the storage network at the best price. We have implemented it in OPIOM with the Myrinet interconnect: OPIOM moves data asynchronously from SCSI disks to the embedded memory of a Myrinet interface in order to send it to a remote node. This design presents attractive features: high performance and extremely low host overhead.

scholarly journals A Comprehensive Analysis and Recommendations on Network Monitoring Tools

2021 ◽  
Vol 9 (11) ◽  
pp. 1551-1559
Author(s):  
Mohammad Shariful Islam
Keyword(s):  
High Performance ◽  
Network Monitoring ◽  
Decision Making Process ◽  
It Infrastructure ◽  
Bandwidth Utilization ◽  
Monitoring Tools ◽  
Lost Time ◽  
Site Network ◽  
Monitoring Software ◽  
Selection Of

Abstract: A high-performance network is a necessary component of any company's IT infrastructure. All operations, including internal and external communication across different corporate sites, as well as communication with clients and partners, should operate smoothly to enable smooth business activities. Failures and malfunctions in operational procedures can easily result in lost time and money. In order to maintain track of the availability, performance, and bandwidth utilization in an IT network, network monitoring software that continuously monitors operations in the network, does analysis, and warns IT workers as soon as an error happens or critical values are surpassed is highly recommended. If the administrator is not on site, network monitoring allows him or her to intervene swiftly, even if he or she is not there. Of course, each firm has unique requirements for a network monitoring solution, and with so many tools and solutions on the market, careful selection of an appropriate solution is essential. This paper discusses the different alternatives that a network solution can provide provided the appropriate criteria are taken into account during the decision-making process. Keywords: Network, Network Monitoring Tools, IT infrastructure, Open Source

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