FOG COMPUTING: A NEW CONCEPT TO MINIMIZE THE ATTACKS AND TO PROVIDE SECURITY IN CLOUD COMPUTING ENVIRONMENT

Cloud high latency limitation has necessitated the introduction of Fog computing paradigm that extends computing infrastructures in the cloud data centers to the edge network. Extended cloud resources provide processing, storage and network services to time sensitive request associated to the Internet of Things (IoT) services in network edge. The rapid increase in adoption of IoT devices, variations in user requirements, limited processing and storage capacity of fog resources and problem of fog resources over saturation has made provisioning and allotment of computing resources in fog environment a formidable task. Satisfying application and request deadline is the most substantial challenge compared to other dynamic variations in parameters of client requirements. To curtail these issues, the integrated fog-cloud computing environment and efficient resource selection method is highly required. This paper proposed an agent based dynamic resource allocation that employs the use of host agent to analyze the QoSrequirements of application and request and select a suitable execution layer. The host agent forwards the application request to a layer agent which is responsible for the allocation of best resource that satisfies the requirement of the application request. Host agent and layers agents maintains resource information tables for matching of task and computing resources. CloudSim toolkit functionalities were extended to simulate a realistic fog environment where the proposed method is evaluated. The experimental results proved that the proposed method performs better in terms of processing time, latency and percentage QoS delivery. HIGHLIGHTS The distance between the cloud infrastructure and the edge IoT devices makes the cloud not too competent for some IoT applications, especially the sensitive ones To minimize the latency in the cloud and ensure prompt response to user requests, Fog computing, which extends the cloud services to edge network was introduced The proliferation in adoption of IoT devices and fog resource limitations has made resource scheduling in fog computing a tedious one GRAPHICAL ABSTRACT

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EdgeCloud

Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing ◽

10.4018/978-1-7998-5339-8.ch130 ◽

2021 ◽

pp. 2684-2700

Author(s):

Jamuna S. Murthy

Keyword(s):

Cloud Computing ◽

Traffic Management ◽

Fog Computing ◽

Research Work ◽

Edge Computing ◽

Smart Devices ◽

Computing Environment ◽

Time Data ◽

Cloud Computing Environment ◽

Real Time Data Processing

In the recent years, edge/fog computing is gaining greater importance and has led to the deployment of many smart devices and application frameworks which support real-time data processing. Edge computing is an extension to existing cloud computing environment and focuses on improving the reliability, scalability, and resource efficiency of cloud by abolishing the need for processing all the data at one time and thus increasing the bandwidth of a network. Edge computing can complement cloud computing in a way leading to a novel architecture which can benefit from both edge and cloud resources. This kind of resource architecture may require resource continuity provided that the selection of resources for executing a service in cloud is independent of physical location. Hence, this research work proposes a novel architecture called “EdgeCloud,” which is a distributed management system for resource continuity in edge to cloud computing environment. The performance of the system is evaluated by considering a traffic management service example mapped into the proposed layered framework.

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EdgeCloud

The Rise of Fog Computing in the Digital Era - Advances in Computer and Electrical Engineering ◽

10.4018/978-1-5225-6070-8.ch006 ◽

2019 ◽

pp. 108-128 ◽

Cited By ~ 1

Author(s):

Jamuna S. Murthy

Keyword(s):

Cloud Computing ◽

Traffic Management ◽

Fog Computing ◽

Research Work ◽

Edge Computing ◽

Smart Devices ◽

Computing Environment ◽

Time Data ◽

Cloud Computing Environment ◽

Real Time Data Processing

In the recent years, edge/fog computing is gaining greater importance and has led to the deployment of many smart devices and application frameworks which support real-time data processing. Edge computing is an extension to existing cloud computing environment and focuses on improving the reliability, scalability, and resource efficiency of cloud by abolishing the need for processing all the data at one time and thus increasing the bandwidth of a network. Edge computing can complement cloud computing in a way leading to a novel architecture which can benefit from both edge and cloud resources. This kind of resource architecture may require resource continuity provided that the selection of resources for executing a service in cloud is independent of physical location. Hence, this research work proposes a novel architecture called “EdgeCloud,” which is a distributed management system for resource continuity in edge to cloud computing environment. The performance of the system is evaluated by considering a traffic management service example mapped into the proposed layered framework.

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User Annotated Resource Allocation in Cloud Computing Environment

Indian Journal Of Applied Research ◽

10.15373/2249555x/mar2014/38 ◽

2011 ◽

Vol 4 (3) ◽

pp. 132-133

Author(s):

Krishnakumar L Krishnakumar L ◽

◽

Jimy Joy

Keyword(s):

Resource Allocation ◽

Cloud Computing ◽

Computing Environment ◽

Cloud Computing Environment

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Efficient Cost Scheduling algorithm with Load Balancing in a Cloud Computing Environment

International Journal of Innovative Research in Computer and Communication Engineering ◽

10.15680/ijircce.2015.0306026 ◽

2015 ◽

Vol 03 (06) ◽

pp. 5138-5143

Author(s):

Amanpreet Chawla, Navtej Singh

Keyword(s):

Cloud Computing ◽

Load Balancing ◽

Scheduling Algorithm ◽

Computing Environment ◽

Cloud Computing Environment

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Building Energy Consumption Data Index Method in Cloud Computing Environment

International Journal of Performability Engineering ◽

10.23940/ijpe.20.05.p8.747756 ◽

2020 ◽

Vol 16 (5) ◽

pp. 747

Author(s):

Liang Yuan ◽

Cheng Hongfang ◽

Chen Wangshun

Keyword(s):

Cloud Computing ◽

Energy Consumption ◽

Building Energy ◽

Building Energy Consumption ◽

Computing Environment ◽

Index Method ◽

Cloud Computing Environment ◽

Consumption Data

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Workflow Scheduling for Scientific Application in Homogeneous Cloud Environment

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v7i7.114 ◽

2017 ◽

Vol 7 (7) ◽

pp. 137

Author(s):

. Monika ◽

Pardeep Kumar ◽

Sanjay Tyagi

Keyword(s):

Cloud Computing ◽

Big Data ◽

Large Data ◽

Workflow Scheduling ◽

Cloud Environment ◽

Computing Environment ◽

Scientific Application ◽

Cloud Computing Environment ◽

Flow Of Information

In Cloud computing environment QoS i.e. Quality-of-Service and cost is the key element that to be take care of. As, today in the era of big data, the data must be handled properly while satisfying the request. In such case, while handling request of large data or for scientific applications request, flow of information must be sustained. In this paper, a brief introduction of workflow scheduling is given and also a detailed survey of various scheduling algorithms is performed using various parameter.

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