scholarly journals Optimized Load Balancing in Cloud Computing using Hybrid Approach of Round Robin and Min-Min Scheduling

2017 ◽  
Vol 6 (1) ◽  
pp. 1773-1777
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Hybrid Approach ◽  
Round Robin

scholarly journals Enhanced Weighted Round Robin Load Balancing Algorithm in Cloud Computing

2019 ◽  
Vol 8 (9S2) ◽  
pp. 148-151
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Task Assignment ◽  
Round Robin ◽  
Utility Computing ◽  
Distributed Environment ◽  
Dynamic Task ◽  
Computing Model ◽  
Network Load ◽  
Load Balancing Algorithm

The cloud/utility computing model requires a dynamic task assignment to cloud sites with the goal that the performance and demand handling is done as effectively as would be prudent. Efficient load balancing and proper allocation of resources are vital systems to improve the execution of different services and make legitimate usage of existing assets in the cloud computing atmosphere. Consequently, the cloud-based infrastructure has numerous kinds of load concerns such as CPU load, server load, memory drain, network load, etc. Thus, an appropriate load balancing system helps in realizing failures, reducing backlog problems, adaptability, proper resource distribution, expanding dependability and client fulfillment and so forth in distributed environment. This thesis reviewed various popular load balancing algorithms. Modified round robin algorithms are popularly employed by various giant companies for scheduling issues and load balancing. An enhanced weighted round robin algorithm is discussed in this paper concentrating on efficient load balancing and effective task scheduling and resource management.

scholarly journals Analysis of Different Variants in Round Robin Algorithms for Load Balancing in Cloud Computing

2013 ◽  
Vol 69 (22) ◽  
pp. 17-21 ◽  
Author(s):  
Subasish Mohapatra ◽  
Subhadarshini Mohanty ◽  
K.Smruti Rekha
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Round Robin

scholarly journals SURVEY ON POWER AWARE LOAD BALANCING IN CLOUD COMPUTING

2017 ◽  
Vol 5 (4RACSIT) ◽  
pp. 81-85
Author(s):  
Manjula ◽  
Madhu B R
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Minimum Cost ◽  
Maximum Flow ◽  
Round Robin ◽  
Threshold Power ◽  
Complex Issue ◽  
Business Applications ◽  
Double Threshold

Cloud computing in the current years has been taking its development from the logical to the non logical and business applications. Control utilization and Load adjusting are essential and complex issue in computational Cloud. Load Balancing is an imperative segment in the item benefits based cloud computing. There is a need to create calculations that can catch this multifaceted nature yet can be effortlessly actualized and used to fathom an extensive variety of load adjusting situations in a Data and Computing escalated applications. Because of increment in the quantity of server farms, which relate to electrical vitality cost, crest control scattering, cooling and carbon emanation. These days, control utilization is one of the significant issues for the operation and upkeep of server farms. Vitality costs for server farms are multiplying like clockwork and have effectively crossed $19 billion. Be that as it may, a lot of this power is squandered as servers are for the most part sit. Sit without moving servers can likewise expend as much as 60% of pinnacle power utilization. To measure the energy consumed by processor, and we call these are a load balancing techniques, we introduced many algorithm like Power Aware Load balancing (PALB), Double Threshold- Power Aware Load balancing (DT-PALB), Dynamic Round-Robin (DRR), Equally Spread Active Execution( ESCE ),Minimum Cost Maximum flow (MCMF). In this paper we compare algorithm and we will conclude which algorithm is best for power aware load balancing in cloud.

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