Multi-factor nature inspired SLA-aware energy efficient resource management for cloud environments

Bashir, Sonia; Mustafa, Saad; Ahmad, Raja Wasim; Shuja, Junaid; Maqsood, Tahir; Alourani, Abdullah

doi:10.1007/s10586-022-03690-4

Cited by 13 publications

(3 citation statements)

References 26 publications

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“…To reduce the overall security risk, a VM allocation plan is created after determining the amount of VM that need to be migrated and the destination hosts. Yet, moving VMs frequently lead to increased energy usage and e ciency degradation, which violate the cloud provider's Service Level Agreement (SLA) [25].…”

Section: Related Workmentioning

confidence: 99%

Ant Lion Optimization Algorithm (ALOA) Based Secure Vm Allocation Strategy for Protecting Against Co-Residence Attack in Energy Efficient Cloud

Veena,

Periyasamy

2024

Preprint

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Virtual machines (VMs) with fluctuating resource requirements are hosted on servers with various configurations, which constitute the bulk of cloud computing. Furthermore, in a networked environment, co-located VMs are susceptible to co-resident attacks (CRA). Degradation in security and performance may result from these two problems, which can also lead to assaults on the service and inconsistent utilization of resources on the server. In this research proposes a safe, workload-balanced, and energy-effective virtual machine allocation technique for preventing such co-residence attacks. To be more precise, formulate the issue as an optimization problem and evaluate and minimize three main aspects: (1) power consumption, (2) security threats, and (3) uneven workloads across several physical servers. Additionally, this research assumes a random number of VMs from various users coming at random times, which necessitates a continuously changing optimization approach in order to account for a real environmental setting. clustering VMs suggest in time windows initially, as the optimization issue is NP-hard. Then, utilize the Ant Lion Optimization Algorithm (ALOA) to determine the best allocation approach for each time window. Extensive findings derived from actual cloud trails confirm the efficacy of the suggested plan.

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Section: Related Workmentioning

confidence: 99%

Ant Lion Optimization Algorithm (ALOA) Based Secure Vm Allocation Strategy for Protecting Against Co-Residence Attack in Energy Efficient Cloud

Veena,

Periyasamy

2024

Preprint

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“…Te migration and placement techniques in traditional approaches were not considered the utilization scenarios (overutilization/underutilization) and the job priority levels that lead to excessive energy consumption and less proft. Recent advances in cloud data centers and their energy-efcient methods were discussed in the following references [28][29][30][31].…”

Section: Related Workmentioning

confidence: 99%

Preserving Resource Handiness and Exigency-Based Migration Algorithm (PRH-EM) for Energy Efficient Federated Cloud Management Systems

Karthikeyan¹,

Sundaravadivazhagan

Cyriac

et al. 2023

Mobile Information Systems

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On-demand computing ability and efficient service delivery are the major benefits of cloud systems. The limitation in resource availability in single data centers causes the extraction of additional resources from the cloud providers group. The federation scheme dynamically increases resource availability in response to service requests. The dynamic increase in resource count leads to excessive energy consumption, maximum cost, and carbon footprints emission. Hence, the reduction of resources is the major requirement to construct the optimized cloud source models for profit maximization without considering energy mix and CO2. This paper proposes the novel migration method to reduce carbon emissions and energy consumption. The initial stage in the proposed work is the categorization of data centers based on the MIPS and cost prior to job allocation offers scalable and efficient services and resources to the cloud user. Then, the job with the maximum size is allotted to the VM only if its capacity is less than the cumulative capacity of data centers. A novel migration based on overutilized and underutilized levels provides the services to the user even if the particular VM fails. The proposed work offers efficient maintenance of resource availability and maximizes the profit of the cloud providers associated with the federated cloud environment. The comparative analysis of the proposed algorithm with the existing methods regarding the response time, accuracy, profit, carbon emission, and energy consumption assures the effectiveness in a confederated cloud environment.

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“…Other approaches have focused on the issue of resultant SLA violations such as this work 36 that proposed a technique utilized with thresholds mechanisms to reduce the SLA violations. Moreover, Saad et al 37 who presented consolidation based energy‐efficient techniques that decrease energy consumption along with resultant SLA violations in the cloud environment.…”

Section: Related Workmentioning

confidence: 99%

Extending OCCI for an autonomous SLA negotiation strategy in federated clouds

Bouabdallah

Fakhfakh

2023

Concurrency and Computation

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SummaryEach cloud service provider provides only an interface of its own cloud infrastructure for enabling clients to use its cloud resources. However, there is a number of difficulties for cloud providers to ensure proper functioning. One of the main problems of a cloud provider is the lack of resources to support a huge number of on‐demand resources provisioning. Thus, resources cannot be distributed among different cloud providers since the federation is not the basic operation of the cloud provider. The most efficient way to overcome this problem is to extend the interface's cloud provider with an automatic negotiation to dynamically form the best agreement between the different cloud providers based on the service level agreement. In this article, we propose an extension for the Open Cloud Computing Interface which is the standardized interface for the cloud computing to support the automatic negotiation between the different cloud providers. To prove the efficiency and the effectiveness of our approach, we implement a prototype to evaluate the key presented in this article.

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Multi-factor nature inspired SLA-aware energy efficient resource management for cloud environments

Cited by 13 publications

References 26 publications

Ant Lion Optimization Algorithm (ALOA) Based Secure Vm Allocation Strategy for Protecting Against Co-Residence Attack in Energy Efficient Cloud

Ant Lion Optimization Algorithm (ALOA) Based Secure Vm Allocation Strategy for Protecting Against Co-Residence Attack in Energy Efficient Cloud

Preserving Resource Handiness and Exigency-Based Migration Algorithm (PRH-EM) for Energy Efficient Federated Cloud Management Systems

Extending OCCI for an autonomous SLA negotiation strategy in federated clouds

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