Self-management of applications QoS for energy optimization in datacenters

Oliveira, Frederico Alvares de; Ledoux, Thomas

doi:10.1145/2088996.2088999

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…The evaluation regarding the optimization problems (e.g. QoS and energy consumption trade-off improvements) were already addressed in our previous works [11]. We first describe the experiment setup, then we present and discuss the results found.…”

Section: Discussionmentioning

confidence: 99%

“…In point of fact, from the application provider perspective, Autonomic Computing makes application capable of reacting to a highly variable workload by dynamically adjusting the amount of resources needed to be executed while keeping its Quality of Service (QoS) [11]. From the infrastructure provider point of view, it also makes the infrastructure capable of rapidly reacting to environment changes (e.g.…”

Section: Introductionmentioning

confidence: 99%

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Synchronization of Multiple Autonomic Control Loops: Application to Cloud Computing

Oliveira

Sharrock

Ledoux

2012

Lecture Notes in Computer Science

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Abstract. Over the past years, Autonomic Computing has become very popular, especially in scenarios of Cloud Computing, where there might be several autonomic loops aiming at turning each layer of the cloud stack more autonomous, adaptable and aware of the runtime environment. Nevertheless, due to conflicting objectives, non-synchronized autonomic loops may lead to global inconsistent states. For instance, in order to maintain its Quality of Service, an application provider might request more and more resources while the infrastructure provider, due to power shortage may be forced to reduce the resource provisioning. In this paper, we propose a generic model to deal with the synchronization and coordination of autonomic loops and how it can be applied in the context of Cloud Computing. We present some simulation results to show the scalability and feasibility of our proposal.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Synchronization of Multiple Autonomic Control Loops: Application to Cloud Computing

Oliveira

Sharrock

Ledoux

2012

Lecture Notes in Computer Science

Self Cite

View full text Add to dashboard Cite

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“…Performance Efficiency [34,34,36,37,[37][38][39][40][41][42][43][44][45][46] Reliability [47][48][49][50][50][51][52][53][54][55][56][57] Security [58][59][60][61][62][63][64][65][66][67][68][69][70][71][72][73] Operational Policy-Based Functions [74][75][76][77][78][79][80][81][82][83]…”

Section: Quality Attributes Referencesmentioning

confidence: 99%

Efficient Resource Utilization in IoT and Cloud Computing

Prasad,

Dansana,

Bhavsar

et al. 2023

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With the proliferation of IoT devices, there has been exponential growth in data generation, placing substantial demands on both cloud computing (CC) and internet infrastructure. CC, renowned for its scalability and virtual resource provisioning, is of paramount importance in e-commerce applications. However, the dynamic nature of IoT and cloud services introduces unique challenges, notably in the establishment of service-level agreements (SLAs) and the continuous monitoring of compliance. This paper presents a versatile framework for the adaptation of e-commerce applications to IoT and CC environments. It introduces a comprehensive set of metrics designed to support SLAs by enabling periodic resource assessments, ensuring alignment with service-level objectives (SLOs). This policy-driven approach seeks to automate resource management in the era of CC, thereby reducing the dependency on extensive human intervention in e-commerce applications. This paper culminates with a case study that demonstrates the practical utilization of metrics and policies in the management of cloud resources. Furthermore, it provides valuable insights into the resource requisites for deploying e-commerce applications within the realms of the IoT and CC. This holistic approach holds the potential to streamline the monitoring and administration of CC services, ultimately enhancing their efficiency and reliability.

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