Tips for Handling Cloud Resources, Task Scheduling and load balancing amongst data and user Over the Cloud Environment
                     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
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Load  
Balancing
Overview Cloud  
Resource 
 
Background
Allocation
Future 
 
Work
KEY POINTS Copyright © 2019 TutorsIndia. All rights reserved
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are identified and fixed by our researchers by suggesting  
better novel alternatives with appropriate tools, technologies  
and approaches, thereby proving their effectiveness in real  
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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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BACKGROUND
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 BALANCING 
 MODEL, 
Load distribution based on user requests has  
been done on the basis of software deployment in METRICS,  AND 
 the cloud data centers.
POLICIES
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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CLOUD RESOURCE ALLOCATION 
 STRATEGIES
It will reduce the lack of  
resources, resource struggle, 
 fragmentation, resource  
under-provisioning and over- 
 provisioning and minimizing  
the operational cost of the  
Cloud resource allocation cloud . The primary significance of 
 (CRA) strategies primary  CRA is illustrating how the 
 used to assurance that   resources are modelled  
physical and/or virtual  and utilized by the  
resources are allocated  clients/user.
correctly to cloud users.
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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. 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).
It will consider multi-objective based approach 
 to optimize the task scheduling model.
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