Edge Computing - The Way Forward

2021 ◽  
Vol 9 (VII) ◽  
pp. 1562-1566
Author(s):  
Aayush Jain
Keyword(s):  
Reaction Time ◽  
Augmented Reality ◽  
Internet Of Things ◽  
Distributed Computing ◽  
Cost Saving ◽  
Smart Home ◽  
Edge Computing ◽  
Transmission Capacity ◽  
Capacity Cost ◽  
The Way

As of late, the Edge Computing worldview has acquired significant notoriety in scholastic and mechanical circles. It fills in as a key empowering influence for some, future advances like 5G, Internet of Things (IoT), augmented reality by interfacing distributed computing offices and administrations to the end clients. The Edge registering worldview gives low idleness, versatility, and area mindfulness backing to delay-delicate applications. Edge figuring can possibly address the worries of reaction time necessity, transmission capacity cost saving, just as information wellbeing and protection. In this paper, we present the meaning of edge Computing, trailed by a few contextual investigations, going from cloud offloading to smart home and city.

scholarly journals Emerging Paradigm of Edge Computing in the Context Of Iot

2018 ◽  
Vol 7 (3.3) ◽  
pp. 122
Author(s):  
BETHALA SHIRISHA ◽  
DEGALA DIVYA PRIYA ◽  
MAHALAKSHMI . ◽  
MAHENDER REDDY CHILUKALA ◽  
BETHALA PRAVALLIKA
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Cost Saving ◽  
Response Time ◽  
Spectral Efficiency ◽  
Smart Home ◽  
Edge Computing ◽  
Battery Life ◽  
Time Requirement ◽  
Machine Type

Centralised Cloud computing is having many challenges with the rapid increasing in IoT( Internet Of Things) applications. The challenges are high latency, low spectral efficiency (SE), and non-adaptive machine type of communication. In order to solve these challenges have moved to the concept of new computing concept that is nothing but edge computing, which calls for moving the data at the edge of the network. Edge computing has the possible to deal with the concerns of battery life constraint, response time requirement, data safety, bandwidth cost saving and privacy. In this paper, we started the explanation with IoT and solution of IOT i.e. edge computing, followed by several case studies, ranging from cloud offloading to smart home and city, as well as collaborative edge to materialize the concept of edge computing.  

Smart Refrigerator with Recipe Assistance

2017 ◽  
Vol 8 (2) ◽  
pp. 51-61
Author(s):  
Aishwarya Gadgil ◽  
Vedija Jagtap ◽  
Pooja Kulkarni
Keyword(s):  
Internet Of Things ◽  
Smart Home ◽  
Rfid Tags ◽  
Creative Processes ◽  
Rfid Tag ◽  
Technological Revolution ◽  
Load Cells ◽  
Time Required ◽  
Intellectual Power ◽  
The Way

Internet of Things (IoT) will lead to a technological revolution that will change the way people live and interact with their surroundings. Intelligent appliances combined with multimedia capability have been emerging in everyone's life. Smart home is one of the prominent areas of intelligent advances. Kitchen is considered as the center of our house, where the refrigerator plays an important role. Smart Refrigerator with Recipe Assistance will help in automating the refrigerator. The authors propose a system that would track the stock of ingredients in the refrigerator with the help of RFID tags and load cells. According to the availability of ingredients a list of possible recipes is predicted and suggestions will be given to the user. Whenever an item is identified by a RFID tag, estimations on the usage of ingredients are made and we can get notifications about the scarce products. The system will also help in checking the availability of ingredients based on the recipe user wishes to cook. The time required by an individual for manually checking the availability of ingredients in the refrigerator and then thinking about what to cook is greatly reduced using this system. Most of the information is automatically generated using RFID tags. Once the user logins into the application he/ she will be suggested the possible list of recipes based on the availability. Human intellectual power then can be used for new creative processes rather than using it for routine chores.

Malicious Data Stream Identification to Improve the Resource Elasticity of Handheld Edge Computing System

2017 ◽  
Vol 8 (4) ◽  
pp. 30-39
Author(s):  
Rajaguru D. ◽  
Puviyarasi T. ◽  
Vengattaraman T.
Keyword(s):  
Internet Of Things ◽  
Distributed Computing ◽  
Urban Areas ◽  
Computing System ◽  
Edge Computing ◽  
Handheld Devices ◽  
The Internet ◽  
Information Stream ◽  
Information Streams ◽  
The Internet Of Things

This article lights the need for the identification of resource elasticity in handheld edge computing systems and its related issues. Under a few developing application situations, for example, in urban areas, operational checking of huge foundations, wearable help, and the Internet of Things, nonstop information streams must be prepared under short postponements. A few arrangements, including various programming motors, have been created for handling unbounded information streams in an adaptive and productive way. As of late, designs have been proposed to utilize edge processing for information stream handling. This article reviews the cutting-edge stream preparing motors and systems for misusing asset versatility which highlights distributed computing in stream preparation. Asset flexibility takes into consideration an application or administration to scale out/in as per fluctuating requests. Flexibility turns out to be much more difficult in conveyed conditions involving edge and distributed computing assets. Device security is one of the real difficulties for fruitful execution of the Internet of Things and fog figuring conditions in the current IT space. Specialists and information technology (IT) associations have investigated numerous answers for shield frameworks from unauthenticated device assaults. Fog registering utilizes organize devices (e.g. switch, switch and center) for dormancy mindful handling of gathered information utilizing IoT. This article concludes with the various process for improvising the resource elasticity of handheld devices for leading the communication to the next stage of computing.

Malicious Data Stream Identification to Improve the Resource Elasticity of Handheld Edge Computing System

2020 ◽  
pp. 1634-1644
Author(s):  
Rajaguru D. ◽  
Puviyarasi T. ◽  
Vengattaraman T.
Keyword(s):  
Internet Of Things ◽  
Distributed Computing ◽  
Urban Areas ◽  
Computing System ◽  
Edge Computing ◽  
Handheld Devices ◽  
The Internet ◽  
Information Stream ◽  
Information Streams ◽  
The Internet Of Things

This article lights the need for the identification of resource elasticity in handheld edge computing systems and its related issues. Under a few developing application situations, for example, in urban areas, operational checking of huge foundations, wearable help, and the Internet of Things, nonstop information streams must be prepared under short postponements. A few arrangements, including various programming motors, have been created for handling unbounded information streams in an adaptive and productive way. As of late, designs have been proposed to utilize edge processing for information stream handling. This article reviews the cutting-edge stream preparing motors and systems for misusing asset versatility which highlights distributed computing in stream preparation. Asset flexibility takes into consideration an application or administration to scale out/in as per fluctuating requests. Flexibility turns out to be much more difficult in conveyed conditions involving edge and distributed computing assets. Device security is one of the real difficulties for fruitful execution of the Internet of Things and fog figuring conditions in the current IT space. Specialists and information technology (IT) associations have investigated numerous answers for shield frameworks from unauthenticated device assaults. Fog registering utilizes organize devices (e.g. switch, switch and center) for dormancy mindful handling of gathered information utilizing IoT. This article concludes with the various process for improvising the resource elasticity of handheld devices for leading the communication to the next stage of computing.

Smart Refrigerator with Recipe Assistance

2020 ◽  
pp. 1621-1633
Author(s):  
Aishwarya Gadgil ◽  
Vedija Jagtap ◽  
Pooja Kulkarni
Keyword(s):  
Internet Of Things ◽  
Smart Home ◽  
Rfid Tags ◽  
Creative Processes ◽  
Rfid Tag ◽  
Technological Revolution ◽  
Load Cells ◽  
Time Required ◽  
Intellectual Power ◽  
The Way

Internet of Things (IoT) will lead to a technological revolution that will change the way people live and interact with their surroundings. Intelligent appliances combined with multimedia capability have been emerging in everyone's life. Smart home is one of the prominent areas of intelligent advances. Kitchen is considered as the center of our house, where the refrigerator plays an important role. Smart Refrigerator with Recipe Assistance will help in automating the refrigerator. The authors propose a system that would track the stock of ingredients in the refrigerator with the help of RFID tags and load cells. According to the availability of ingredients a list of possible recipes is predicted and suggestions will be given to the user. Whenever an item is identified by a RFID tag, estimations on the usage of ingredients are made and we can get notifications about the scarce products. The system will also help in checking the availability of ingredients based on the recipe user wishes to cook. The time required by an individual for manually checking the availability of ingredients in the refrigerator and then thinking about what to cook is greatly reduced using this system. Most of the information is automatically generated using RFID tags. Once the user logins into the application he/ she will be suggested the possible list of recipes based on the availability. Human intellectual power then can be used for new creative processes rather than using it for routine chores.

scholarly journals Mobile edge computing resource allocation: A joint Stackelberg game and matching strategy

2019 ◽  
Vol 15 (7) ◽  
pp. 155014771986155 ◽  
Author(s):  
Shaoyong Guo ◽  
Xing Hu ◽  
Gangsong Dong ◽  
Wencui Li ◽  
Xuesong Qiu
Keyword(s):  
Resource Allocation ◽  
Internet Of Things ◽  
Smart Home ◽  
Stackelberg Game ◽  
Edge Computing ◽  
Hierarchical Architecture ◽  
Smart Devices ◽  
Low Latency ◽  
Mobile Edge Computing ◽  
Computing Resource

Mobile edge computing has attracted great interests in the popularity of fifth-generation (5G) networks and Internet of Things. It aims to supply low-latency and high-interaction services for delay-sensitive applications. Utilizing mobile edge computing with Smart Home, which is one of the most important fields of Internet of Things, is a method to satisfy users’ demand for higher computing power and storage capacity. However, due to limited computing resource, how to improve efficiency of resource allocation is a challenge. In this article, we propose a hierarchical architecture in Smart Home with mobile edge computing, providing low-latency services and promoting edge process for smart devices. Based on that, a Stackelberg Game is designed in order to allocate computing resource to devices efficiently. Then, one-to-many matching is established to handle resource allocation problems. It is proved that the allocation strategy can optimize the utility of mobile edge computing server and improve allocating efficiency. Simulation results show the effectiveness of the proposed strategy compared with schemes based on auction game, and present performance with different changing system parameters.

CLOUD BASED INTERNET OF THINGS FOR SMART CONNECTED OBJECTS

2019 ◽  
Vol 01 (02) ◽  
pp. 31-39 ◽  
Author(s):  
Duraipandian M. ◽  
Vinothkanna R.
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Smart Home ◽  
Electricity Consumption ◽  
Considerable Improvement ◽  
The Internet ◽  
The Internet Of Things ◽  
At Home

The paper proposing the cloud based internet of things for the smart connected objects, concentrates on developing a smart home utilizing the internet of things, by providing the embedded labeling for all the tangible things at home and enabling them to be connected through the internet. The smart home proposed in the paper concentrates on the steps in reducing the electricity consumption of the appliances at the home by converting them into the smart connected objects using the cloud based internet of things and also concentrates on protecting the house from the theft and the robbery. The proposed smart home by turning the ordinary tangible objects into the smart connected objects shows considerable improvement in the energy consumption and the security provision.

A Fitting Solution

2018 ◽  
Author(s):  
Kaori Kashimura ◽  
Takafumi Kawasaki Jr. ◽  
Nozomi Ikeya ◽  
Dave Randall
Keyword(s):  
Organizational Change ◽  
Power Plant ◽  
Augmented Reality ◽  
Real World ◽  
Work Practices ◽  
Plant Construction ◽  
Tightly Coupled ◽  
Complex Scenario ◽  
The Relationship ◽  
The Way

This chapter provides an ethnography of a complex scenario involving the construction of a power plant and, in so doing, tries to show the importance of a practice-based approach to the problem of technical and organizational change. The chapter reports on fieldwork conducted in a highly complex and tightly coupled environment: power plant construction. The ethnography describes work practices on three different sites and describes and analyses their interlocking dependencies, showing the difficulties encountered at each location and the way in which the delays that result cascade through the different sites. It goes on to describe some technological solutions that are associated with augmented reality and that are being designed in response to the insights gained from the fieldwork. The chapter also reflects more generally on the relationship between fieldwork and design in real-world contexts.

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