Resources Allocation in Cloud Computing: A Survey

Saidi, Karima; Hioual, Ouassila; Siam, Abderrahim

doi:10.1007/978-3-030-37207-1_37

Cited by 8 publications

(4 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At the same time, it is necessary to avoid unproductive network overloads associated with broadcast messages, repeated calls and unreasonably long routes. These tasks are solved by load limiting algorithms, which limit subscribers' access to the network, and adaptive routing algorithms [4], which limit the choice of outgoing directions.…”

Section: Fig 1 a Fragment Of The Structure Basic Networkmentioning

confidence: 99%

See 1 more Smart Citation

Synthesis of a Computer Network for Controlling Moving Objects

Kuchuk,

Shyman

2023

CNCS

View full text Add to dashboard Cite

Today, there are many methods of synthesis of the basic network of the computer control system. But they do not take into account the mobility of control objects. Therefore, the purpose of the article is to develop a method of synthesis of the basic network of the computer control system, which takes into account the mobility of control objects. The method is based on the use of the function of the average loss of messages in the network at the input load and the dynamic resource allocation plan. Regardless of the selected class of the basic network, the developed method assumes: the selection of an appropriate management efficiency assessment function; synthesis of control algorithms for restricting access to the network; synthesis of adaptive routing algorithms that ensure optimal distribution of flows on the short-circuit network. The direction of further research is to take into account the placement of base stations of the computer system.

show abstract

Section: Fig 1 a Fragment Of The Structure Basic Networkmentioning

confidence: 99%

“…Today, there are many methods of synthesis of the basic network of the computer control system [2][3][4][5][6][7][8][9][10][11]. But they do not take into account the mobility of management objects.…”

Section: Introductionmentioning

confidence: 99%

Synthesis of a Computer Network for Controlling Moving Objects

Kuchuk,

Shyman

2023

CNCS

View full text Add to dashboard Cite

show abstract

“…Resource allocation has been extensively studied by researchers as reported in several surveys (Dewangan et al, 2020;Saidi et al, 2019;Barán and López-Pires, 2017), some of the techniques used are auction-based, optimization-based and Autonomic-based techniques. Other techniques focus on monitoring or improving certain aspect of the resource allocation process such as SLA-base, QoS-based and cost-based techniques (Dewangan et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Rationalizing Resource Utilization in Cloud Computing Using Coalition Formation Strategy

Noureldin¹,

Fadel²

2021

Journal of Computer Science

View full text Add to dashboard Cite

Even though the contribution of cloud computing towards the Sustainable Development (SD) of communities is still under research investigation, cloud computing has become an integral part of many ICT solutions that shape our daily lives. Thus, some researchers recommend taking considerable actions to point cloud computing development towards supporting SD. In this research, an approach to designing energy efficient cloud architecture as a way of supporting SD is proposed. Resource allocation is a challenging process in cloud management, the goal is to allocate the exact amount of resources needed throughout the service duration; tight enough to avoid unnecessarily wasting resources and loose enough to prevent any degradation in Quality of Service (QoS) that may lead to the violation of the Service Level Agreement (SLA) between the service provider and the cloud user. This study aims to achieve the desired balance by benefiting from the history of the user's behaviour and from sharing resourcesmore specifically Virtual Machines (VM)among a coalition of users. Coalition formation strategy is used to build groups of cloud users based on their cloud behaviour history. Users are grouped in a way that their usage patterns complement each other, either to avoid the loss stemming from VM excess reserved space or from idle times. A type of architecture that fulfils this improvement process is proposed and implemented on Google Compute Engine (GCE). The contribution of this research is that it applies the Coalition formation strategy in cloud computing resource management in a novel way and experiments show that there are scenarios where the efficiency of resource management has improved. Evaluation of the performance of the proposed architecture is done by comparing resource utilization for both the cloud following this architecture and the cloud that runs the basic GCE strategy. In conclusion, it is observed that improvements depend on accuracy of the prediction of usage pattern of the user. Results show that in certain scenarios, improvements can be made to up to 24% of VM usage and, in other scenarios, it can minimize the number of required VMs, thus contributing to green computing.

show abstract

“…Saidi et al (2019) surveyed different techniques used in the allocation of resources in the cloud to the user.…”

mentioning

confidence: 99%

Cauchy Particle Swarm Optimization (CPSO) Based Migrations of Tasks in a Virtual Machine

Vadivel¹,

SudalaiMuthu²

2021

Wireless Pers Commun

View full text Add to dashboard Cite

Cloud computing technology helps to resolve the problem in storage management by providing virtual resources to the end users. But, the overloading of virtual machines results in degradation of performances as well as it increases in the energy consumption of the virtual machines. Several techniques were used to determine the workloads of the cloud and then apply the migration algorithm for efficient utilization of resources. But, the process depends on the past outputs and only few step ahead predictions. Most of the techniques allocate the resources based on all the attributes. This results in higher processing time for the allocation. Hence, in this, an attribute based resource allocation is proposed to allocate and utilize the resources effectively based on the user demands.The modified Principal component analysis and relief is used for the attribute selection. Then, the selected attribute is processed with the hybrid Cauchy particle swarm algorithm for the allocation of resources. The proposed method is tested google cluster dataset and its performance is evaluated in terms of migration count and power consumption. The proposed method performance is compared with the automated migration technique (ALM) and forecast based migration technique (CF-LA). The proposed method outperforms both the existing technique by reducing the power consumption and the migration count between the virtual machines. Hence, the proposed MPCA and relief basedCPSO is best for allocating the resources dynamically in the cloud.

show abstract

Resources Allocation in Cloud Computing: A Survey

Cited by 8 publications

References 13 publications

Synthesis of a Computer Network for Controlling Moving Objects

Synthesis of a Computer Network for Controlling Moving Objects

Rationalizing Resource Utilization in Cloud Computing Using Coalition Formation Strategy

Cauchy Particle Swarm Optimization (CPSO) Based Migrations of Tasks in a Virtual Machine

Contact Info

Product

Resources

About