Green cloud computing aims to minimize environmental impact through efficient use of computing resources. It utilizes virtualization, automation, pay-per-use billing, and multitenancy to encourage consolidation and high server utilization. This improves energy efficiency and reduces waste. Key metrics for measuring a cloud's environmental footprint include PUE, CUE, and DCP, which calculate energy and resource usage. Dynamic provisioning, multitenancy, virtualization, and data center efficiency techniques help lower energy consumption in cloud infrastructure and software.
Cloud computing & energy efficiency using cloud to decrease the energy use in...Puru Agrawal
Cloud can be used to decrease the energy use in large companies. This presentation deals with a model which explains as how cloud can be used to decrease the energy uses. This is a field related to green computing and minimum use of energy resources.
Cloud computing & energy efficiency using cloud to decrease the energy use in...Puru Agrawal
Cloud can be used to decrease the energy use in large companies. This presentation deals with a model which explains as how cloud can be used to decrease the energy uses. This is a field related to green computing and minimum use of energy resources.
Green cloud computing using heuristic algorithmsIliad Mnd
Green computing is defined as the study and practice of designing , manufacturing, using, and disposing of computers, servers, and associated sub systems such as
monitors, printers, storage devices, and networking and
communications systems efficiently and effectively with
minimal or no impact on the environment. Research continues into key areas such as making the use of computers as energy efficient as possible, and designing algorithms and systems for efficiency related computer technologies.
Energy efficient VM placement - OpenStack Summit Vancouver May 2015Kurt Garloff
Some measurements of cloud energy consumption in our FusionSphere5 OpenStack cloud. And some thoughts on improving it by intelligent scheduling.
(Radu Tudoran, Kurt Garloff, Uli Kleber -- Huawei)
This is my presentation, explaining the energy and carbon efficient algorithm presented in the conference paper published by the CLOUDS research lab, who developed the cloud simulator - CloudSim.
dynamic resource allocation using virtual machines for cloud computing enviro...Kumar Goud
Abstract—Cloud computing allows business customers to scale up and down their resource usage based on needs., we present a system that uses virtualization technology to allocate data center resources dynamically based on application demands and support green computing by optimizing the number of servers in use. We introduce the concept of “skewness” to measure the unevenness in the multidimensional resource utilization of a server. By minimizing imbalance, we will mix completely different of workloads nicely and improve the overall utilization of server resources. We develop a set of heuristics that prevent overload in the system effectively while saving energy used. Many of the touted gains in the cloud model come from resource multiplexing through virtualization technology. In this paper Trace driven simulation and experiment results demonstrate that our algorithm achieves good performance.
Index Terms—Cloud computing, resource management, virtualization, green computing.
An Energy Aware Resource Utilization Framework to Control Traffic in Cloud Ne...IJECEIAES
Energy consumption in cloud computing occur due to the unreasonable way in which tasks are scheduled. So energy aware task scheduling is a major concern in cloud computing as energy consumption results into significant waste of energy, reduce the profit margin and also high carbon emissions which is not environmentally sustainable. Hence, energy efficient task scheduling solutions are required to attain variable resource management, live migration, minimal virtual machine design, overall system efficiency, reduction in operating costs, increasing system reliability, and prompting environmental protection with minimal performance overhead. This paper provides a comprehensive overview of the energy efficient techniques and approaches and proposes the energy aware resource utilization framework to control traffic in cloud networks and overloads.
Welcome to International Journal of Engineering Research and Development (IJERD)IJERD Editor
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
A Review on Scheduling in Cloud Computingijujournal
Cloud computing is the requirement based on clients that this computing which provides software,
infrastructure and platform as a service as per pay for use norm. The scheduling main goal is to achieve
the accuracy and correctness on task completion. The scheduling in cloud environment which enables the
various cloud services to help framework implementation. Thus the far reaching way of different type of
scheduling algorithms in cloud computing environment surveyed which includes the workflow scheduling
and grid scheduling. The survey gives an elaborate idea about grid, cloud, workflow scheduling to
minimize the energy cost, efficiency and throughput of the system
Green Computing: A Methodology of Saving Energy by Resource Virtualization.IJCERT
In the past a couple of years computer standard was moved to remote data farms and the
software and hardware services accessible on the premise of pay for utilize .This is called
Cloud computing, In which client needs to pay for the Services .Cloud give the Services –
Programming as a Service ,stage as a Service and foundation as a Service .These
Services gave through the remote server farms (since the information is
scattered/disseminated over the web.), as Programming requisition and different Services
relocated to the remote server farm ,Service of these server farm in the imperative. Server
farm Service confronts the issue of force utilization. At present Cloud computing based
framework squander an extraordinary measure of force and produces co2. Since
numerous servers don't have a decent quality cooling framework. Green Computing can
empower more vitality proficient utilization of computing power .This paper indicates the
prerequisite of Green Computing and methods to spare the vitality by distinctive
methodologies
Energy Saving by Virtual Machine Migration in Green Cloud Computingijtsrd
Nowadays the innovations have turned out to be so quick and advanced that enormous all big enterprises have to go for cloud. Cloud provides wide range of services, from high performance computing to storage. Datacenter consisting of servers, network, wires, cooling systems etc. is very important part of cloud as it carries various business information onto the servers. Cloud computing is widely used for large data centers but it causes very serious issues to environment such as heat emission, heavy consumption of energy, release of toxic gases like methane, nitrous oxide, carbon dioxide, etc. High energy consumption leads to high operational cost as well as low profit. So we required Green cloud computing, which very environment friendly and energy efficient version of the cloud computing. In this paper the major issues related to cloud computing is discussed. And the various techniques used to minimize the power consumption are also discussed. Ruhi D. Viroja | Dharmendra H. Viroja"Energy Saving by Virtual Machine Migration in Green Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-1 , December 2016, URL: http://www.ijtsrd.com/papers/ijtsrd104.pdf http://www.ijtsrd.com/engineering/computer-engineering/104/energy-saving-by-virtual-machine-migration-in-green-cloud-computing/ruhi-d-viroja
Green cloud computing using heuristic algorithmsIliad Mnd
Green computing is defined as the study and practice of designing , manufacturing, using, and disposing of computers, servers, and associated sub systems such as
monitors, printers, storage devices, and networking and
communications systems efficiently and effectively with
minimal or no impact on the environment. Research continues into key areas such as making the use of computers as energy efficient as possible, and designing algorithms and systems for efficiency related computer technologies.
Energy efficient VM placement - OpenStack Summit Vancouver May 2015Kurt Garloff
Some measurements of cloud energy consumption in our FusionSphere5 OpenStack cloud. And some thoughts on improving it by intelligent scheduling.
(Radu Tudoran, Kurt Garloff, Uli Kleber -- Huawei)
This is my presentation, explaining the energy and carbon efficient algorithm presented in the conference paper published by the CLOUDS research lab, who developed the cloud simulator - CloudSim.
dynamic resource allocation using virtual machines for cloud computing enviro...Kumar Goud
Abstract—Cloud computing allows business customers to scale up and down their resource usage based on needs., we present a system that uses virtualization technology to allocate data center resources dynamically based on application demands and support green computing by optimizing the number of servers in use. We introduce the concept of “skewness” to measure the unevenness in the multidimensional resource utilization of a server. By minimizing imbalance, we will mix completely different of workloads nicely and improve the overall utilization of server resources. We develop a set of heuristics that prevent overload in the system effectively while saving energy used. Many of the touted gains in the cloud model come from resource multiplexing through virtualization technology. In this paper Trace driven simulation and experiment results demonstrate that our algorithm achieves good performance.
Index Terms—Cloud computing, resource management, virtualization, green computing.
An Energy Aware Resource Utilization Framework to Control Traffic in Cloud Ne...IJECEIAES
Energy consumption in cloud computing occur due to the unreasonable way in which tasks are scheduled. So energy aware task scheduling is a major concern in cloud computing as energy consumption results into significant waste of energy, reduce the profit margin and also high carbon emissions which is not environmentally sustainable. Hence, energy efficient task scheduling solutions are required to attain variable resource management, live migration, minimal virtual machine design, overall system efficiency, reduction in operating costs, increasing system reliability, and prompting environmental protection with minimal performance overhead. This paper provides a comprehensive overview of the energy efficient techniques and approaches and proposes the energy aware resource utilization framework to control traffic in cloud networks and overloads.
Welcome to International Journal of Engineering Research and Development (IJERD)IJERD Editor
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
A Review on Scheduling in Cloud Computingijujournal
Cloud computing is the requirement based on clients that this computing which provides software,
infrastructure and platform as a service as per pay for use norm. The scheduling main goal is to achieve
the accuracy and correctness on task completion. The scheduling in cloud environment which enables the
various cloud services to help framework implementation. Thus the far reaching way of different type of
scheduling algorithms in cloud computing environment surveyed which includes the workflow scheduling
and grid scheduling. The survey gives an elaborate idea about grid, cloud, workflow scheduling to
minimize the energy cost, efficiency and throughput of the system
Green Computing: A Methodology of Saving Energy by Resource Virtualization.IJCERT
In the past a couple of years computer standard was moved to remote data farms and the
software and hardware services accessible on the premise of pay for utilize .This is called
Cloud computing, In which client needs to pay for the Services .Cloud give the Services –
Programming as a Service ,stage as a Service and foundation as a Service .These
Services gave through the remote server farms (since the information is
scattered/disseminated over the web.), as Programming requisition and different Services
relocated to the remote server farm ,Service of these server farm in the imperative. Server
farm Service confronts the issue of force utilization. At present Cloud computing based
framework squander an extraordinary measure of force and produces co2. Since
numerous servers don't have a decent quality cooling framework. Green Computing can
empower more vitality proficient utilization of computing power .This paper indicates the
prerequisite of Green Computing and methods to spare the vitality by distinctive
methodologies
Energy Saving by Virtual Machine Migration in Green Cloud Computingijtsrd
Nowadays the innovations have turned out to be so quick and advanced that enormous all big enterprises have to go for cloud. Cloud provides wide range of services, from high performance computing to storage. Datacenter consisting of servers, network, wires, cooling systems etc. is very important part of cloud as it carries various business information onto the servers. Cloud computing is widely used for large data centers but it causes very serious issues to environment such as heat emission, heavy consumption of energy, release of toxic gases like methane, nitrous oxide, carbon dioxide, etc. High energy consumption leads to high operational cost as well as low profit. So we required Green cloud computing, which very environment friendly and energy efficient version of the cloud computing. In this paper the major issues related to cloud computing is discussed. And the various techniques used to minimize the power consumption are also discussed. Ruhi D. Viroja | Dharmendra H. Viroja"Energy Saving by Virtual Machine Migration in Green Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-1 , December 2016, URL: http://www.ijtsrd.com/papers/ijtsrd104.pdf http://www.ijtsrd.com/engineering/computer-engineering/104/energy-saving-by-virtual-machine-migration-in-green-cloud-computing/ruhi-d-viroja
This presentation brings insights on cloud and green cloud computing and briefs the readers with its potential in india and how it can be achieved. Numerous insights have been collectively put in into this presentation.
Energy efficient task scheduling algorithms for cloud data centerseSAT 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
Energy efficient task scheduling algorithms for cloud data centerseSAT Journals
Abstract Cloud computing is a modern technology which contains a network of systems that form a cloud. Energy conservation is one of the major concern in cloud computing. Large amount of energy is wasted by the computers and other devices and the carbon dioxide gas is released into the atmosphere polluting the environment. Green computing is an emerging technology which focuses on preserving the environment by reducing various kinds of pollutions. Pollutions include excessive emission of greenhouse gas, disposal of e-waste and so on leading to greenhouse effect. So pollution needs to be reduced by lowering the energy usage. By doing this, utilization of resources should not be reduced. With less usage of energy, maximum resource utilization should be possible. For this purpose, many green task scheduling algorithms are used so that the energy consumption can be minimized in servers of cloud data centers. In this paper, ESF-ES algorithm is developed which focuses on minimizing energy consumption by minimizing the number of servers used. The comparison is made with hybrid algorithms and most-efficient-server first scheme. Keywords: Cloud computing, Green computing, Energy-efficiency, Green data centers and Task scheduling.
Energy efficient task scheduling algorithms for cloud data centerseSAT Journals
Abstract
Life time of Wireless device Networks (WSNs) has perpetually been a important issue and has received enlarged attention within the
recent years. Typically wireless device nodes area unit equipped with low power batteries that area unit impossible to recharge.
Wireless device networks ought to have enough energy to satisfy the specified necessities of applications. during this paper, we have a
tendency to propose Energy economical Routing and Fault node Replacement (EERFNR) formula to extend the lifespan of wireless
device network, cut back information loss and conjointly cut back device node replacement value. Transmission drawback and device
node loading drawback is solved by adding many relay nodes and composition device node’s routing mistreatment stratified Gradient
Diffusion. The device node will save backup nodes to cut back the energy for re-looking the route once the device node routing is
broken. Genetic formula can calculate the device nodes to exchange, apply the foremost on the market routing methods to replace the
fewest device nodes.
Keywords: Genetic algorithmic rule, stratified gradient diffusion, grade diffusion, wireless device networks
Cloud infrastructure addresses two critical elements of a green IT a.pdfangeldresses
Cloud infrastructure addresses two critical elements of a green IT approach: energy efficiency
and resource efficiency. Whether done in a private or public cloud configuration, as-a-service
computing will be greener for (at least) the following three reasons.
1. Resource virtualization, enabling energy and resource efficiencies.
Virtualization is a foundational technology for deploying cloud-based infrastructure that allows a
single physical server to run multiple operating system images concurrently. As an enabler of
consolidation, server virtualization reduces the total physical server footprint, which has inherent
green benefits.
From a resource-efficiency perspective, less equipment is needed to run workloads, which
proactively reduces data center space and the eventual e-waste footprint. From an energy-
efficiency perspective, with less physical equipment plugged in, a data center will consume less
electricity.
It\'s worth noting that server virtualization is the most widely adopted green IT project
implemented or planned, at 90 percent of IT organizations globally into 2011.
2. Automation software, maximizing consolidation and utilization to drive efficiencies.
The presence of virtualization alone doesn\'t maximize energy and resource efficiencies. To
rapidly provision, move, and scale workloads, cloud-based infrastructure relies on automation
software.
Combined with the right skills and operational and architectural standards, automation allows IT
professionals to make the most of their cloud-based infrastructure investment by pushing the
limits of traditional consolidation and utilization ratios.
The higher these ratios are, the less physical infrastructure is needed, which in turn maximizes
the energy and resource efficiencies from server virtualization.
3. Pay-per-use and self-service, encouraging more efficient behavior and life-cycle management.
The pay-as-you-go nature of cloud-based infrastructure encourages users to only consume what
they need and nothing more. Combined with self-service, life-cycle management will improve,
since users can consume infrastructure resources only when they need it -- and \"turn off\" these
resources with set expiration times.
In concert, the pay-per-use and self-service capabilities of cloud-based infrastructure drive
energy and resource efficiencies simultaneously, since users only consume the computing
resources they need when they need it.
4. Multitenancy, delivering efficiencies of scale to benefit many organizations or business units.
Multitenancy allows many different organizations (public cloud) or many different business units
within the same organization (private cloud) to benefit from a common cloud-based
infrastructure.
By combining demand patterns across many organizations and business units, the peaks and
troughs of compute requirements flatten out. Combined with automation, the ratio between peak
and average loads becomes smaller, which in turn reduces the need for extra infrastructu.
Energy Saving by Migrating Virtual Machine to Green Cloud Computingijtsrd
Green computing is characterized as the examination and practice of structuring, assembling, utilizing, and discarding PCs, servers, and related subsystems, for example, screens, printers, storage gadgets, and systems administration and interchanges frameworks proficiently and successfully with negligible or no effect on the earth. The objective of green computing is to diminish the utilization of hazardous materials, amplify energy proficiency during the items lifetime, and advance the recyclability of obsolete items and factory waste. Green computing can be accomplished by either Product Longevity Resource distribution or Virtualization or Power management. power is the bottleneck of improving the system execution. Among all industries, the information communication technology ICT industry is seemingly answerable for a bigger segment of the overall development in energy utilization. The objective of green cloud computing is to advance the recyclability or biodegradability of outdated items and factory waste by diminishing the utilization of hazardous materials and amplifying the energy productivity during the items lifetime. Stephen Fernandes "Energy Saving by Migrating Virtual Machine to Green Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30422.pdf Paper Url :https://www.ijtsrd.com/computer-science/distributed-computing/30422/energy-saving-by-migrating-virtual-machine-to-green-cloud-computing/stephen-fernandes
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
REGION BASED DATA CENTRE RESOURCE ANALYSIS FOR BUSINESSESijsrd.com
To meet up the needs of large-scale multi-tenant data centres and clouds, data center and cloud architectures are continuously forming modifications. These needs are primarily focused around seven dimensions: scalability in computing, storage, and bandwidth, scalability in network services, efficiency in resource utilization, agility in service creation, cost efficiency, service reliability, and security. This article focuses on the first five dimensions as they are related to networking. . Large data centers are handling thousands of servers, exabytes of storage, terabits per second of traffic, and tens of thousands of tenants. Data centres are interconnected across the wide area network via routing and transport technologies to provide a pool of resources, known as the cloud. High-capacity transport intra- and inter-datacentre are being achieved by High-speed optical interfaces and dense wavelength-division multiplexing optical transport. This paper presents data centre resource analysis based on region
On June 24th I presented to the Dependable Systems Engineering group here in the School of Computer Science, St Andrews. The group meets once a month for a presentation from one of its members over lunch. The presenter talks about their current research, providing a good opportunity to keep up to date with other work within the group.On June 24th I presented to the Dependable Systems Engineering group here in the School of Computer Science, St Andrews. The group meets once a month for a presentation from one of its members over lunch. The presenter talks about their current research, providing a good opportunity to keep up to date with other work within the group.
Green computing is the practice of designing, developing, using, and disposing of computer hardware, software, and systems in an environmentally friendly way. This involves reducing the environmental impact of computing by minimizing energy consumption, reducing electronic waste, and using sustainable materials. Green computing is becoming increasingly important as the use of technology continues to grow and the environmental impact of technology becomes more apparent.
Simple Tutorial on Fractals
Bayesian Networks Inference Review
Joint Probability Space’s Fractal Property and its Possible Application to BBN Inference
Summary
The Koch Snowflake SELF SIMILAR CONCEPTSJauwadSyed
Boston - Mar 13, 2002Fractal Antenna Systems, Inc. today disclosed that it has
filed for patent protection on a new class of antenna arrays
that use close-packed arrangements of fractal elements to
get superior performance characteristics.
EYE GAZE IN TURNTAKING IN SIGN LANGUAGE INTERACTIONJauwadSyed
Visual attention in sign languages
Signers focus on each other’s faces when signing in signing space.
Manual signs are seen.
Children have to learn to divide their attention between sign language and environment.
Name (Trojan horse) According to legend , the Greeks won the Trojan war by hiding in a huge, hollow wooden horse to sneak into the fortified city of Troy. It was built and filled with Greek warriors to get in troy city and open doors for all warriors out side troy city waiting to enter the city.
WIRELESS COMMUNICATION IN HEALTH CARE.pptJauwadSyed
Wireless and mobile technology are currently having a powerful impact
Health Care is an information network project being implemented by the International Development Research Centre (IDRC).
The announcement was made by Canada’s International Development Research Centre (IDRC), WideRay, a wireless technology company based in San Francisco.
Wireless Service Applications is headed by Mr Hans Ehrnrooth, Vice President.
Zigbee operates in the industrial, scientific and medical radio bands; 868 MHz in Europe, 915 MHz in countries such as USA and Australia and 2.4 GHz in most jurisdictions worldwide. The technology is intented to be simpler and less expensive than other WPANS such as bluetooth. Radios are also avaiable stand lone to be used with any processor or microcontroller.
The World of Internet
History of cloud computing
What is Cloud Computing?
Types of Cloud Computing
i. Software as a Service(SaaS)
ii. Platform as aService(PaaS)
iii. Infrastructure as a Service(IaaS)
Characteristics of Cloud Computing
Deployment model of Cloud Computing
NATURAL VEGETATION AND WILDLIFE CONSERVATION
To maintain ecological balance of nature and maintain food chain and nature cycles.
It has economic value. Many wild plants provide useful substances like timber, paper , gums etc. And they also have wide applications in Ayurveda and other branches of medicine Wild animals products are tusk, ivory ,leather, honey etc
Most important contribution of wild life for human progress is availability of
Large gene pool for the scientists to carry breeding programmes in agriculture, animal husbandry and fishery
Wild life provides a esthetic value to man.
Wildlife of a country is its cultural asset
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
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About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
2. The Green Cloud Computing is to optimize computing
resources to minimize the environmental footprint. This
included the control of materials, energy, water and other
scarce resources, but also the limitation of e-waste from the
manufacture to the recycling of the components.
Definition
3. According to Christopher Mines Research Director Forrester Research
Following are the key considerations in Cloud computing which are
keeping it greener…
1. Resource virtualization, enabling energy and resource efficiencies.
2. Automation software, maximizing consolidation and utilization to
drive efficiencies.
3.Pay-per-use and self-service, encouraging more efficient behavior
and life-cycle management.
4. Multitenancy, delivering efficiencies of scale to benefit many
organizations or business units.
Virtualization, Consolidation, Utilization and Multitenancy in Cloud
Computing leads to Energy Efficiency and Resource Efficiency and
accelerates green IT.
4. Methods to Calculate Environmental Foot Print
1. PUE(Power Usage Effectiveness)-This is the ratio of the total energy
consumption of the infrastructure(Building) and the consumption of
computer devices (Processors, Memory, Networks)
PUE = Total Power Consumption/Computer Device Power Consumption
2. CUE(Carbon Use Effectiveness)-Calculates the amount CO2 emitted per
Kwh used. This value depends on the technology used to produce
electricity.
CUE=(KgC02/Kwh)*PUE
3. REB(Coeficient of Renewable Energy)-To determine the environmental
impact of a data center.
REB=Quantity of Renewable Energy Used/Total Amount of Energy Used.
Calculates the amount of CO2 emitted per Kwh used.
5. 4. DCP(Data Center Productivity)-It is amount of useful work done by data
center.
DCP=Total Useful Work/Total Resources Used to this work.
5. CPE(Computer Power Efficiency)-Calculates the total amount of power truly
used for computing.
CPE=IT Equipment Utilization Energy/PUE
6. ERF( Energy Resource Factor)-Calculates the reusable energy(generated by
solar power, hydro power..etc) used by data center.
ERF= Used of Reused Energy/Total Energy Used by IT Equipment.
7.WUE(Water Usage Effectiveness)-Calculated amount of water used by data
center yearly.
WUE=Annual Usage of Water/Total Energy Used IT Equipment.
6. 8. ERE(Energy Resource Effectiveness)-It is a parameter for measuring
the profit of reuse energy from a data centre.
ERE=(Total Energy-Reused Energy)/Total Energy Used IT Equipment.
9.DciE(Data Center Infrastructure Efficiency)-It is used to calculate the
energy efficiency of data center.
DciE=(Total IT Equipment Power/Total Facility Power)*100
10.SWaP(Space, Wattage and Performance)-It is used to calculate the
Space and Energy Required by Data Center.
Swap=Performance/(Space*power)
11.GEC(Green Energy Coefficient)-It Calculates the amount of green
energy used to provide services to data centre.
GEC=Green Energy Consumed/Total Energy Consumed.
7. Areas to Achieve Green Cloud
1.Cloud Physical Infrastructure.
a) Data Centers
b) Network Devices
2. Software Using in Cloud.
8. 1.Cloud Physical Infrastructure.
a) Data Centers
Data Center Power Consumption= Cooling Devices(42%)+IT Equiment(30%)+
Electrical and Power Distribution Units(28%)
b) Network Devices
Power consumption varies wired networks to wireless networks, total distance
of the data travelled, the total numbers of devices like routers, switches, hubs
and gateways.
According to the study conducted by Tucker public Cloud is estimated to
consume about 2.7 J/b in transmission and switching in comparison to 0.46J/b
for a private Cloud.
2. Software using in Cloud.
We have to reduce the power consumption for running applications and
achieving higher performance.
Mayo Study is helpful for the research and analysis of trade-off between
performance and energy consumption due to execution of software on multiple
platforms and hardware.
9. Techniques to Achieve Green Cloud
1.Dynamic Provisioning
2.Multitenancy
3.Virtualization and Sever Utilization
4.Data Center Efficiency.
10. 1.Dynamic Provisioning
Cloud providers monitor and predict the demand and thus
allocate resources according to demand. Those applications that
require less number of resources can be consolidated on the
same server. Thus, datacenters always maintain the active
servers according to current demand, which results in low
energy consumption than the conservative approach of over-
provisioning.
11. 2. Multi Tenancy
Using multi-tenancy approach, Cloud computing
infrastructure reduces overall energy usage and
associated carbon emissions. The SaaS providers serve
multiple companies on same infrastructure and software.
12. 3.Virtualization and Sever Utilization
In general, on-premise infrastructure run with very low utilization
,sometimes it goes down up to 5 to 10 percent of average
utilization. Using virtualization technologies, multiple applications
can be hosted and executed on the same server in isolation, thus
lead to utilization levels up to 70%. Thus, it dramatically reduces
the number of active servers. Even though high utilization of
servers results in more power consumption, server running at
higher utilization can process more workload with similar power
usage.
13. 4.Data Center Efficiency.
The server design in the form of modular containers, water or air
based cooling, or advanced power management through power
supply optimization, are all approaches that have significantly
improved PUE in datacenters. In addition, Cloud computing allows
services to be moved between multiple datacenter which are
running with better PUE values. This is achieved by using high
speed network, virtualized services and measurement, and
monitoring and accounting of datacenter