Understanding Traffic Characteristics in a Server to Server Data Center Network

The number of Data Centers and the servers present in them has been on the rise over the last decade with the advent of cloud computing, social networking, Big data analytics etc. This has eventually led to the increase in the power consumption of the Data Center due to the power hungry interconnection fabric which consists of switches and routers. The scalability of the data center has also become a problem due to the interconnect cabling complexity which is also responsible for the increase in the energy used for cooling the data center as these bundles of wires reduce the air flow in the data center. The maintenance costs of the data center is high due to this reason. This brings the challenge of reducing the power consumption as well as improving the scalability of the data center. There is a lot of cost involved in the establishment of a network in a data center and this network is one of the main source of power consumption. Therefore, there is a need to accurately characterize the data center network before its construction which requires the simulation of the data center models. For the simulation of data center models, we require the traffic which is identical to that of an actual data center so that the results will be similar to a real time data center. Traditional data center networks have a wired communication fabric, which is not scalable and contributes largely to the power consumption. This has led to the investigation of other methods. There have been transceivers designed that can support the unlicensed 60 GHz spectrum, supporting high bandwidth similar to the wired network present in traditional data centers. These wireless links have spatial reusability and the data centers can make use of this communication medium to meet the high bandwidth demands and also reduce the use of cable thereby bringing down the cost and the power consumption. This thesis studies the previous traffic models used in the simulation of a data center network. Traffic collected from ten different data centers is then characterized and modelled based on various probability distributions. The implementation of the model tries to generate traffic similar to that of an actual data center. The Data Center Network is then simulated using the traffic generated and the performance of the wired data center is quantified in terms of metrics like throughput, latency and the power consumption of the data center networks

Analysis of Smart Parking System Using IOT Environment

The typical parking experience has been transformed by smart parking systems that use the Internet of Things (IoT) environment to integrate technology to improve efficiency, convenience, and sustainability. In order to monitor and manage parking spaces in real-time, this unique technique makes use of IoT devices, such as sensors, cameras, and networking technologies. As a result of the system's reliable information on parking availability, drivers may find and book parking spaces in advance, which eases traffic and reduces aggravation. Additionally, parking systems with IoT capabilities optimize resource use, lowering carbon emissions and fostering sustainability. The adoption of IoT in parking systems is a crucial step towards building smarter, more connected cities that will enhance both drivers' and parking operators' experiences with parking. There are numerous crucial elements in the process for developing a smart parking system in an IoT context. First, sensors are placed in parking places to gather up-to-the-minute occupancy information. Then, using wireless communication protocols, this data is sent to a central server or cloud computing platform. After that, a data processing and analysis module interprets the gathered data using algorithms and machine learning techniques and presents parking availability information to users via a mobile application or other user interfaces. For effective management and monitoring of parking spaces, the system also includes automated payment methods and interacts with existing infrastructure. Taken as Alternative parameters is Park Smart, Street line, Park Whiz, ParkMobile, Spot Hero. Taken as evaluation parameters is Light Sensor, CCTV coins, SMS, Cost-effectiveness, Timestamp. This demonstrates the rank of the data set Park Smart is on 1st Rank, ParkMobile is on 2nd Rank, Park Whiz is on 3rd Rank, Street line is on 4th Rank and Spot Hero is on 5th Rank. To sum up, implementing a smart parking system employing IoT technology has shown to be a potential way to deal with the problems associated with urban parking. The system increases parking efficiency, lessens traffic congestion, and enhances user experience by utilising IoT sensors, data analytics, and real-time communication. The parking scene in smart cities has the potential to change dramatically, enhancing ease and sustainability

A Numerical Model for Analysis of Heat Transfer in MHD Casson Fluid with Radiation and Viscous Dissipation

This article is, concerned a numerical model for analysis of heat transfer (HT) in MHD Casson fluid (CF) with radiation and viscous dissipation. The governing PDE's are developed for the physical model and converted into non-dimensional form and then with the help of Galerkin finite element method (GFEM) solution is obtained. The impact of dimensionless parameters which are supervising the flow such as Magnetic parameter  , Casson parameter ( )  thermal Grashof number Permeability of porous medium    Prandtl number Heat absorption parameter  Viscous dissipation   and Radiation parameter  are analyzed through graphs for fluid properties. The  results obtained were compared with earlier reported results for correctnes

A Numerical Model for Analysis of Heat Transfer in MHD Casson Fluid with Radiation and Viscous Dissipation

This article is, concerned a numerical model for analysis of heat transfer (HT) in MHD Casson fluid (CF) with radiation and viscous dissipation. The governing PDE's are developed for the physical model and converted into non-dimensional form and then with the help of Galerkin finite element method (GFEM) solution is obtained. The impact of dimensionless parameters which are supervising the flow such as Magnetic parameter  , Casson parameter ( )  thermal Grashof number Permeability of porous medium    Prandtl number Heat absorption parameter  Viscous dissipation   and Radiation parameter  are analyzed through graphs for fluid properties. The  results obtained were compared with earlier reported results for correctnes

RAIITH: Institutional Repository at IIT Hyderabad and its impact in scientific community

The digital content produced now a days is enormous and in this connection libraries role at various level is crucial. Higher educational institutions generate and make available a quantum of digital academic and scholarly content. The crossover from print to electronic databases in the libraries is playing prominent role to collect, archive, maintain and publish the content. In this context, the establishment of institutional repository is an important step towards enhancing the visibility of the educational institute across the globe. Research Archive of Indian Institute of Technology, Hyderabad (RAIITH) is built and managed by using open source software (Eprints). Also it discusses about the methods used to collect, collate and publish scholarly content in RAIITH. The challenges come across during the implementation and the testing phase were well addressed. In addition, to complement the traditional citation-based metrics, the latest metric tool viz. Altmetric is structured for its influence in the scientific community. The importance of open access model for scholarly communications has been discussed in details to improve the overall visibility of scientific and technological outcome

Structure-property relations of gold and graphene nanoporous actuators

Electrochemical nanoporous actuators have low weight, large specific surface areas and low voltage operating capabilities, making them attractive for application in small-scale electromechanical devices. The actuation strain of these materials at the macroscopic scale is a manifestation of microscopic phenomena occurring at the ligament surface which is mediated by the nanoporous architecture at the mesoscopic scale. We evaluated the actuation characteristics of ligament-resembling gold nanowires with varying cross-sectional dimensions and crystal orientations by using MSEAM, a modified surface embedded atom method. Then, we developed a multiscale modeling approach to study the performance characteristics of gold nanoporous actuators: cubic lattices, gyroids and nanoporous gold. The model features two scale transitions: (i) from the subatomic scale to the atomistic scale and (ii) from the atomic scale to the continuum scale. Finally, we studied the actuation characteristics of graphene honeycombs using atomistic calculations. Our results provide a fundamental understanding of the physical mechanisms that couple the electrochemical injection of charge at the nanoscale to the overall actuation stroke and work output of gold and graphene nanofoams. Key mechanisms that set the nanofoams of graphene apart from that of gold are the ratio between the inherent graphene and gold stiffness, the strain-charge ratio of the graphene ribbons and gold surfaces and the different architectural morphologies that control the bending- versus stretching-dominated mechanical properties. The results can be used as guidelines for the synthesis of nanoporous actuators with optimal actuation strokes and work densities