An Ant Colony Based Load Balancing Strategy in Cloud Computing

Dam, Santanu; Mandal, Gopa; Dasgupta, Kousik; Dutta, Paramartha

doi:10.1007/978-3-319-07350-7_45

Cited by 44 publications

(19 citation statements)

References 10 publications

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“…• Load balancing: load balancing in cloud computing is the distributions of loads evenly between the VMs over physical resources. Many techniques have been introduced by the authors in [54][55][56]. • Energy efficiency: energy efficiency can be defined as a reduction of energy consumed by a task [57].…”

Section: User Desire Criteriamentioning

confidence: 99%

Task scheduling in cloud computing based on metaheuristic techniques: A review paper

Al-Arasi¹,

Saif²

2020

EAI Endorsed Transactions on Cloud Systems

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Cloud computing delivers computing resources like software and hardware as a service to the users through a network. Due to the scale of the modern datacentres and their dynamic resources provisioning nature, we need efficient scheduling techniques to manage these resources. The main objective of scheduling is to assign tasks to adequate resources in order to achieve one or more optimization criteria. Scheduling is a challenging issue in the cloud environment, therefore many researchers have attempted to explore an optimal solution for task scheduling in the cloud environment. They have shown that traditional scheduling is not efficient in solving this problem and produce an optimal solution with polynomial time in the cloud environment. However, they introduced sub-optimal solutions within a short period of time. Meta-heuristic techniques have provided near-optimal or optimal solutions within an acceptable time for such problems. In this work, we have introduced the major concepts of resource scheduling and provided a comparative analysis of many task scheduling techniques based on different optimization criteria.

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Section: User Desire Criteriamentioning

confidence: 99%

Task scheduling in cloud computing based on metaheuristic techniques: A review paper

Al-Arasi¹,

Saif²

2020

EAI Endorsed Transactions on Cloud Systems

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“…ACO Based Load Balancing [12] this proposal based on the behaviour of bats. While the incoming task came the artificial ants were created to found the best fitting virtual machine.…”

Section: Related Work Of Load Balancing Techniquesmentioning

confidence: 99%

Review of Load Balancing is Distributed Computing and Bat Algorithm

Rani¹,

Kaur²

2017

IJARCSSE

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management of the resources in the various workloads is the key factor of the performance of the distributed computing infrastructure such as (cloud computing, cluster computing and grid computing). Maximizing the resource utilization and enhance the overall performance of the distributed computing infrastructure distribute the workload among the available resource. We can say that the performance is also dependent on the policy of load balancing if load balancing policy is good its leads to better performance and maximize the resource utilization. Grid computing is collection of heterogeneous system from the multiple administrative domains which are geographically distributed to preform parallel processing on demand and provide single coherent view to the user. It suffers from three main challenges scalability, adaptability and heterogeneity. In this paper we provides a detailed study of various load balancing techniques used in the distributed computing which provides you better understanding of various load balancing algorithm with the distributed computing infrastructure.Keyword: Load balancing, grid computing, cluster computing, cloud computing, distributed computing. I. INTRODUCTIONDistributed computing is the most favourable area computer science in which the resources are physically distributed and connected via network and perform communication the help of message passing techniques to perform a common goal the user is always unknown about that processing is going on parallel multiple system he always think the process is going on single system because distributed computing provide single coherent view to the user. Applications of the distributed computing are (cloud computing, grid computing, peer to peer and cluster computing).[1] Distributed computing always able to run those applications which is especially written for run in distributed environment we cannot run all the application on distributed infrastructure and message passing is performed for communication with the help of various methods such as RPC (Remote Procedure Call), HTTP and message ques.[2] Challenges in the distributed computing is the maintain various kind of transparency such as location transparency, migration transparency and relocation transparency.Cloud computing is mechanism of providing on demand services for the various purpose such as (storage, processing and infrastructure). It is an application of the distributed computing it is used internet based communication system means user can demand for the service by using internet and cloud computing provides the resource on demand as per the need of the user. Cloud computing is the pool of the resources where all users are sharing the resources transparently they are not aware of that any other user is also using the same resource each user things the resource used by them is only dedicated to them this is due to transparency maintain by the cloud service provider with the help of virtualization and they also offer virtualization on hardware level not only applicatio...

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“…Em seguida, o ReMM alocará os recursos virtuais baseado nas informações definidas no SLA (4), hospedando-os nos recursos físicos (5). Após a alocação dos recursos, o módulo Escalonador encaminha as requisições 6…”

Section: Ambiente De Experimentaçõesunclassified

“…Este algoritmo tende a ser o mais usado em situações de simulação, comoé o caso deste projeto, pois ele costuma ser o algoritmo base para comparações envolvendo o balanceamento de carga dos simuladores e de implementações públicas de sistemas em nuvem. Isto ocorre poisé um algoritmo extremamente simples de ser implementado e ainda assim costuma ter resultados mais satisfatórios que alguns algoritmos de distribuição aleatória, nos quais uma máquina pode ser super ou subutilizada [5].…”

Section: Algoritmosunclassified

Avaliação de Algoritmos de Balanceamento de Carga para Ambientes em Nuvem

Morais

Frinhani

Kuehne

et al. 2017

Anais Do Simpósio Brasileiro De Sistemas De Informação (SBSI)

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Computação em nuvem é um estilo de computação no qual os provedores de recursos podem oferecer serviços sob demanda de forma transparente e os clientes geralmente pagam de acordo com o uso. A nuvem introduz um novo nível de flexibilidade e escalabilidade para usuários abordando desafios como a rápida alteração em cenários de Tecnologia de Informação (TI) e a necessidade de reduzir custos e tempo no gerenciamento de infraestrutura. No entanto, para ser capaz de oferecer garantias de qualidade de serviço (QoS) sem limitar o número de requisições aceitas, os provedores devem ser capazes de escalonar de forma dinâmica e eficiente as requisições de serviços para serem executadas nos recursos disponíveis. O balanceamento de carga não é uma tarefa trivial, envolvendo desafios relacionados à demanda de serviço, a qual pode mudar instantaneamente, à modelagem de desempenho, e implantação e monitoramento de aplicações em recursos de TI virtualizados. Dessa forma, o objetivo deste artigo é desenvolver e avaliar algoritmos de balanceamento de carga para um ambiente em nuvem de forma a estabelecer um mapeamento mais eficiente entre as requisições de serviços e as máquinas virtuais que as executarão, garantindo a qualidade do serviço conforme definido no acordo de níveis de serviço. Nos experimentos verificou-se que o algoritmo proposto permitiu uma redução no tempo de execução das requisições, aumentando a quantidade de requisições atendidas durante o tempo de observação.

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An Ant Colony Based Load Balancing Strategy in Cloud Computing

Cited by 44 publications

References 10 publications

Task scheduling in cloud computing based on metaheuristic techniques: A review paper

Task scheduling in cloud computing based on metaheuristic techniques: A review paper

Review of Load Balancing is Distributed Computing and Bat Algorithm

Avaliação de Algoritmos de Balanceamento de Carga para Ambientes em Nuvem

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