A Survey on Virtual Machine Scheduling Algorithms in Cloud Computing

Kumar, Mohan Raj Velayudhan; Suman, .; Singh, Surendra

doi:10.26438/ijcse/v6i3.485490

Cited by 4 publications

(4 citation statements)

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“…In CC, machines were positioned in various regions and contained disparate processing capabilities, costs, and features (amount of main memory, CPU cores count, etc.). The makespan cost linked with the TS and the sources allotted must be considered [10]. Thus, resource allocation and TS are prudently optimized and coordinated jointly to achieve a time-effective and overall cost schedule.…”

Section: Introductionmentioning

confidence: 99%

Battle Royale Optimization-Based Resource Scheduling Scheme for Cloud Computing Environment

Russeliah¹,

Suji²,

Anand³

2023

Computer Systems Science and Engineering

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Cloud computing (CC) is developing as a powerful and flexible computational structure for providing ubiquitous service to users. It receives interrelated software and hardware resources in an integrated manner distinct from the classical computational environment. The variation of software and hardware resources were combined and composed as a resource pool. The software no more resided in the single hardware environment, it can be executed on the schedule of resource pools to optimize resource consumption. Optimizing energy consumption in CC environments is the question that allows utilizing several energy conservation approaches for effective resource allocation. This study introduces a Battle Royale Optimization-based Resource Scheduling Scheme for Cloud Computing Environment (BRORSS-CCE) technique. The presented BRORSS-CCE technique majorly schedules the available resources for maximum utilization and effectual makespan. In the BRORSS-CCE technique, the BRO is a population-based algorithm where all the individuals are denoted by a soldier/player who likes to go towards the optimal place and ultimate survival. The BRORSS-CCE technique can be employed to balance the load, distribute resources based on demand and assure services to all requests. The experimental validation of the BRORSS-CCE technique is tested under distinct aspects. The experimental outcomes indicated the enhancements of the BRORSS-CCE technique over other models.

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Section: Introductionmentioning

confidence: 99%

Battle Royale Optimization-Based Resource Scheduling Scheme for Cloud Computing Environment

Russeliah¹,

Suji²,

Anand³

2023

Computer Systems Science and Engineering

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“…Scheduling in cloud computing is done at two levels: users to virtual machines (VM) and VM to the physical host. The first level scheduling is responsible for maintaining the quality of service in terms of makespan, execution cost, and response time while the latter decides load balancing, migrations, energy and resource utilization [14].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Cuckoo Search Algorithm for Scheduling in Cloud Computing

Bhuvaneshwari¹,

Venkatachalam²,

Prabu³

2022

Computers, Materials &Amp; Continua

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Cloud computing has gained widespread popularity over the last decade. Scheduling problem in cloud computing is prejudiced due to enormous demands of cloud users. Meta-heuristic techniques in cloud computing have exhibited high performance in comparison to traditional scheduling algorithms. This paper presents a novel hybrid Nesterov Accelerated Gradient-based Cuckoo Search Algorithm (NAGCSA) to address the scheduling issue in cloud computing. Nesterov Accelerated Gradient can address trapping at local minima in CSA by updating the position using future approximation. The local search in the proposed algorithm is performed by using Nesterov Accelerated Gradient, while the global search is performed by using levy flights. The amalgamation of NAG and CSA helps in cost reduction and time-saving for users. The simulation has been carried out on the CloudSim tool on three different real datasets; NASA, HPC2N, and SDSC. The results of the proposed hybrid algorithm have been compared with state-of-art scheduling algorithms (GA, PSO, and CSA), and statistical significance is carried on mean, standard deviation, and best for each algorithm. It has been established that the proposed algorithm minimizes the execution cost and makespan, hence enhancing the quality of service for users.

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“…Cloud computing consists of a large number of virtualized machines that run on various host or Physical Machines. The services of cloud computing are Infrastructure as a Service, Platform as a Service and Software as a Service [2] [3]. Users can avail these services using a variety of devices like smartphones, PCs, tablets, etc.…”

Section: Introductionmentioning

confidence: 99%

Priority-Based Virtual Machine Selection Algorithm in Cloud Computing

Kumar¹,

Suman²

2019

IJRTE

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Cloud computing technology has gained the attention of researchers in recent years. Almost every application is using cloud computing in one way or another. Virtualization allows running many virtual machines on a single physical computer by sharing its resources. Users can store their data on datacenter and run their applications from anywhere using the internet and pay as per service level agreement documents accordingly. It leads to an increase in demand for cloud services and may decrease the quality of service. This paper presents a priority-based selection of virtual machines by cloud service provider. The virtual machines in the cloud datacenter are configured as Amazon EC2 and algorithm is simulated in cloud-sim simulator. The results justify that proposed priority-based virtual machine algorithm shortens the makespan, by 11.43 % and 5.81 %, average waiting time by 28.80 % and 24.50%, and cost of using the virtual machine by 21.24% and 11.54% as compared to FCFS and ACO respectively, hence improving quality of service.

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A Survey on Virtual Machine Scheduling Algorithms in Cloud Computing

Cited by 4 publications

References 0 publications

Battle Royale Optimization-Based Resource Scheduling Scheme for Cloud Computing Environment

Battle Royale Optimization-Based Resource Scheduling Scheme for Cloud Computing Environment

Hybrid Cuckoo Search Algorithm for Scheduling in Cloud Computing

Priority-Based Virtual Machine Selection Algorithm in Cloud Computing

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