Nature inspired preemptive task scheduling for load balancing in cloud datacenter

Shobana, G.; Geetha, M.; Suganthe, R.C.

doi:10.1109/icices.2014.7033816

Cited by 18 publications

(6 citation statements)

References 7 publications

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“…The virtual machine priorities were computed based on the speed of CPU (MIPS) and memory by the Central Load Balancer. The algorithm used and its experimental results gained with better performance when compared with some other load balancing approaches like Throttled Algorithm (TLA), Round Robin (RR), Equally Spread Current Execution (ESCE) with regard to response time where discussed at [12].…”

Section: Background Workmentioning

confidence: 99%

Different Types of Review Approaches in Load Balancing Techniques in Cloud Computing Environment

J¹,

Pushpalakshmi²

2018

IJET

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Cloud computing is the most emerging and powerful technology in the IT world. The interesting features with enhancement facilities grab the attention of the researchers into its field. Its special kind is pay-as-you-go model for the consumers, by this way the user may this service as they want like as infrastructure, platform and software according to their needs. Cloud computing is an effective management system which built a great relationship between the consumer and the cloud owner’s. However there is a positive aspect still some negatives makes the cloud computing still research field. Some of the major drawbacks still to be discussed were fault tolerance, load balancing and security. The main concept need to be discussed is load balancing; it is mainly depend on requesting the resource services. Some of the key points in load balancing is optimization in resources usage, minimum response time, boost turnout and enabling free from needless burden. Another critical issue is increased user list and cloud application types. In this exploration we focused for Load balancing, how to balance and constructed a present day strategy in a distributed computing condition. Before construct an apparatus how about we do a point by point overview look into in different existing load balancing procedures and cloud analyst tool by various authors.

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Section: Background Workmentioning

confidence: 99%

Different Types of Review Approaches in Load Balancing Techniques in Cloud Computing Environment

J¹,

Pushpalakshmi²

2018

IJET

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“…When they find the food resource with quality threshold the scout bees return and dance. Dancing is a signal for colony communication and it contains information related to food sources like direction from the hive, quality and quantity [9].…”

Section: O Bees Algorithm (Ba)mentioning

confidence: 99%

Load Distribute Across the Cloud Server: Challenges and Algorithms

Patel¹,

Mishra²,

Pateriya³

2016

IJCA

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Cloud computing has become as an approved computing model to challenge processing the large volume of data which utilizes clusters of commodity computers.. Load balancing helps to utilize 100% of the resource provided by cloud service provider in a cloud scenario. This is a procedure which actually implements the concepts of task scheduling algorithm, nowadays the load imbalance virtual machine accelerate several networks, storage and energy consumption related irregularities. Due to the extensive operation of cloud computing resources, it became one of the prime goals of the cloud provider to utilize the computing resources efficiently and optimize the physical resource utilization. Numerous algorithms were recommended to suggest potent procedure and algorithms for allocating the user's demand to accessible cloud nodes. These all methodologies wish to gain complete performance of the cloud services and make the user more satisfying, authentic, sensible and well-organized services. Load balancing is implemented by various algorithms, few of these algorithms are promoted because of better energy efficiency, resource utilization and they are fault tolerant too. This paper explored different existing load balancing approaches in a cloud environment along with their anomalies.

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“…4. In [2] Pre-emptive Task Scheduling is used.The algorithm cannot work with dependent tasks and there is a QoS uncertainty. 5.…”

Section: Literature Survey Of Honeybee Inspired Load Balancing Almentioning

confidence: 99%

A Novel Honey Bee Inspired Algorithm for Dynamic Load Balancing In Cloud Environment

Korat¹

2015

IJAREEIE

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ABSTRACT:In recent years swarm intelligence (SI) becomes important for many researchers. Artificial bee colony algorithm (ABC) is one kind of swarm based algorithm. It follows the foraging behaviour of honey bees. In cloud computing environment, the load balancing is an important factor. The tasks are executed on Virtual Machines (VMs) and those VMs are run in parallel manner, so that the load across all VMs has to be balanced well. Because in cloud environment user pay for the service ,reduction in the execution time of task and the cost of using VM instances (CPU, Memory, Bandwidth etc) is most important.. The aim of proposed algorithm is to maximize the throughput. In this paper, we have discussed different honey bee inspired algorithms. Here the proposed algorithm uses the concept of pareto dominance"s weighted sum approach for selecting optimal VM and also work with preemptive task scheduling.

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Nature inspired preemptive task scheduling for load balancing in cloud datacenter

Cited by 18 publications

References 7 publications

Different Types of Review Approaches in Load Balancing Techniques in Cloud Computing Environment

Different Types of Review Approaches in Load Balancing Techniques in Cloud Computing Environment

Load Distribute Across the Cloud Server: Challenges and Algorithms

A Novel Honey Bee Inspired Algorithm for Dynamic Load Balancing In Cloud Environment

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