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Load Balancing Essay

985 words - 4 pages

ABSTRACT
Load balancing is one of the main challenges in cloud computing which is required to distribute the dynamic workload across multiple nodes to ensure that no single node is overwhelmed .The goal of load balancing is to minimize the resource consumption which will further reduce energy consumption and carbon emission rate that is the dire need of cloud computing. This paper discusses the existing load balancing techniques in cloud computing and further compares them based on various parameters like performance, scalability, associated overhead etc.
Literature Survey Introduction
Cloud computing is emerging as a new paradigm of large-scale distributed computing. Load balancing is ...view middle of the document...

Need of Load Balancing in Cloud Computing
Load balancing in clouds is a mechanism that distributes the excess dynamic local workload evenly across all the nodes. It is used to achieve a high user satisfaction and resource utilization ratio, making sure that no single node is overwhelmed, hence improving the overall performance of the system. Proper load balancing can help in utilizing the available resources optimally, thereby minimizing the resource consumption. It also helps in implementing fail-over, enabling scalability, avoiding bottlenecks and over-provisioning, reducing response time etc. Apart from the above-mentioned factors, load balancing is also required to achieve Green computing in clouds which can be done with the help of the following two factors:
• Reducing Energy Consumption - Load balancing helps in avoiding overheating by balancing the workload across all the nodes of a cloud, hence reducing the amount of energy consumed.

• Reducing Carbon Emission - The energy consumption is reduced with the help of Loadbalancing, so is the carbon emission helping in achieving Green computing.
Existing Load Balancing Techniques in Cloud Computing
•Decentralized content aware load balancing
•Server-based load balancing for Internet distributed Services
•Join-Idle-Queue
•Central load balancing policy for virtual machines.
•LBVS: Load Balancing strategy for Virtual Storage.
•A Task Scheduling Algorithm Based on Load Balancing
•Active Clustering.
•ACCLB (Load Balancing mechanism based on ant colony and complex network theory)
•Event-driven
Table for different load balancing techniques
Techniques
Environment
Description
Findings
Join-Idle-Queue
Cloud data centers
1. First assigns idle
1.
Effectively reduces the


processors to dispatchers
system load


for the availability of the
2.
Incurs no communication


idle processors at
overhead


each dispatcher
at job arrivals


2. Then assigns jobs to
3.
Does not increase actual


processors to reduce
response


average queue length of jobs
times


at each processor


LBVS: LB strategy
Cloud Storage
1. Uses Fair-Share
1.
Enhances flexibility and
for Virtual Storage

Replication strategy to
robustness


achieve Replica Load
2.
Provides large scale net


balancing module which
data storage


in turn controls the access
and storage as a service


load balancing




2. Uses writing balancing




algorithm to control




data writing load balancing


Task Scheduling
Cloud
1. Uses Fair-Share
1.
Enhances flexibility and
Based on LB
Computing
Replication...

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