Tips for Handling Cloud Resources,Task Scheduling & load balancing amongst data, user Over the Cloud

SEP 27, 2019 Research Paper

TIPS FOR HANDLING CLOUD RESOURCES AND LOAD BALANCING TASK IN CLOUD (PRIVATE AND PUBLIC CLOUD) Trending Research Methodologies In Cloud Computing, Engineering & Technology Tags: # TutorsIndia Topics # Cloud Computing # Security & Privacy Issues # Load Balancing Copyright © 2019 TutorsIndia. All rights reserved

Load Balancing Overview Background

Cloud Resource Allocation Future Work

KEY POINTS

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TutorsIndia Lab @ TutorsIndia.com Engineering & technology (E&T) Lab at TutorsIndia is involved in exploring novel research areas by conducting dynamic research. It promotes innovation in all fields of engineering by advancing the technology with structured and continuous research. The problems and challenges faced by the existing technologies and trends are explored by our researchers exists in scholarly literature, in theory, or in practices that needs deliberate investigation. These problems are identified and fixed by our researchers by suggesting better novel alternatives with appropriate tools, technologies and approaches, thereby proving their effectiveness in real time applications.

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BACKGROUND

Due to rapid growth of cloud technology, number of user and size of data becomes complex issues.

Resource scheduling and Load balancing are also the main challenges and concerns in cloud environments.

Scheduling method is used to increase profit of service providers via minimizing time and power consumption.

To make a decision for scheduling the task becomes difficult role.

For addressing the issue, most of researcher suggested optimization method which minimize energy consumption & schedule task in easy manner.

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RESOURCE ALLOCATION AND TASK SCHEDULING - OVERVIEW

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Load balancing model mainly used to balance the load of machines then distribute the workload equally to all clouds.

Load distribution based on user requests has been done on the basis of software deployment in the cloud data centers.

LBM mainly developed toward avoid overutilization of resources and underutilization of resources, refining the latency time for each class of request.

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LOAD BALANCING MODEL, METRICS, AND POLICIES

CLOUD RESOURCE ALLOCATION STRATEGIES

Cloud resource allocation (CRA) strategies primary used to assurance that physical and/or virtual resources are allocated correctly to cloud users.

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It will reduce the lack of resources, resource struggle, fragmentation, resource under-provisioning and overprovisioning and minimizing the operational cost of the cloud .

The primary significance of CRA is illustrating how the resources are modelled and utilized by the clients/user.

FUTURE WORK

IAn effective load balancing and resource allocation scheme to enhance the performance of flexible management cloud data and resources for both multiple and single users cloud system.

To handle various QoS requirements such as scalability, reliability and security for huge workload instances for validating the performance of cloud system.

The optimization approach should consider some significant objectives like cost, bandwidth, load balancing, etc with robust machine learning algorithm.

It will consider multi-objective based approach to optimize the task scheduling model.

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To design and develop a unique framework which should comprise deeper knowledge for allocating and managing resources in cloud, because it mainly depends upon the cloud service provider (CSP).

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