Energy-Aware Server Provisioning by Introducing Middleware-Level Dynamic Green Scheduling

Concurrency and Computation

Gallard³

et al. 2017

Self Cite

International audienceThe adoption of cloud computing is still limited by several legal concerns that customers may have, such as data sovereignty. In cloud computing, data can be physically hosted in sensible locations , resulting in a lack of control for companies. In this context, we present the Nu@ge project, which aims at building a federation of container-sized datacenters in the French territory. Nu@ge provides a software stack that enables companies to interconnect independent datacenters in a national mesh. A software architecture is presented and implemented as a federation of small datacenters deployed in France. The proposed architecture enables cooperation between local customized-cloud managers and a federation-wide middleware. It uses monitoring information from facilities and performance indicators from physical servers for managing the system, preventing incidents and considering energy efficiency. Additionally, a prototype of a container-sized datacenter has been validated and patented. KEYWORDS cloud federation, energy-aware scheduling, IaaS 1 INTRODUCTION Cloud computing represents a significant evolution of information and communications technology in usage and organization. It allows companies to increase their competitiveness by lowering IT infrastructure costs and improving quality of service. This field is an opportuinity to new markets and business models as it is expected to grow up to 29% per year until 2019. 1 Despite its benefits to users, cloud computing raises several concerns of applications, data storage, and processing. Cloud providers reveal few information about geographical location and the way to process of data and applications. As information converted and stored in binary digital form is subject to the laws of the country in which it is located, several concerns are raised from a legal standpoint. Third-party entities or governments could take control of sensible data, and legal protections may not apply if one's data are located outside her country. Additionally, data from a company could be physically hosted with data from others. This causes security risks as one company may attempt to access data of another. The Nu@ge consortium* comprises 6 SMEs (small and medium-sized enterprise) and 2 research teams aiming to create cloud technology that is open to heterogeneous hardware and software stacks, spread on *Nu@ge is a research project funded by the FSN (Fund for the Digital Society, BPI France) as part of the Investissement d' Avenir program. http://www.nuage-france.fr a regional network among France and that uses low-energy consumption and ecological datacenters. This Nu@ge project is a large effort that tackles several challenges. In this work, we describe a federated architecture to provision virtual clusters of resources over the network while providing administrators with a control over data location and quality of service. Our solution is based on innovative container-sized datacenters that enables deployment of a cost-effective and high-performance datacenter env...

Section: Energy-aware Managementmentioning

confidence: 99%

“…We defined mechanisms to adapt resource allocation according to energy-related events and administrator-defined rules. 25…”

Section: Energy-aware Schedulingmentioning

confidence: 99%

Nu@ge: A container‐based cloud computing service federation

Balouek-Thomert

Concurrency and Computation

Gallard³

et al. 2017

Self Cite

“…We coupled the scheduling process to the provisioning of resources while taking into account energy-related events such as fluctuations of electricity prices or heat peaks. This feature [5] enable autonomic decisions from the scheduler by checking pre-defined threshold before executing placement/provisioning decisions.…”

Section: ) Virtual Machine Creationmentioning

confidence: 99%

“…In the context of Nu@ge, the authors provide techniques for assigning virtual machines to federated resources, by exploring energy efficient resource provisioning. We defined mechanisms to adapt resource allocation according to energyrelated events and administrator-defined rules [5]. We take benefit of the plug-in scheduler functionality of the DIET middleware [2] to evaluate.…”

Section: E Energy-aware Schedulingmentioning

confidence: 99%

See 1 more Smart Citation

Nu@ge: Towards a solidary and responsible cloud computing service

Balouek-Thomert¹,

2015 International Conference on Cloud Technologies and Applications (CloudTech)

Gallard³

et al. 2015

Self Cite

Best Paper AwardInternational audienceThe adoption of cloud computing is still limited by several legal concerns from companies. One of those reasons is the data sovereignty, as data can be physically host in sensible locations, resulting in a lack of control for companies. In this paper, we present the Nu@ge project aimed at building a federation of container-sized datacenter on the French territory. Nu@ge provides a software stack that enables companies to put independent datacenters in cooperation in a national mesh. Additionally, a prototype of a container-sized datacenter has been validated and patented

Providing Software Asset Management Compliance in Green Deployment Algorithm

Baillon-Bachoc

Lecture Notes in Electrical Engineering

Chevalier

et al. 2021

Self Cite

Today, the use of software is generally regulated by licenses, whether they are free or paid and with or without access to their sources. The world of licenses is very vast and unknown. Often only the public version is known (a software purchase corresponds to a license). For enterprises, the reality is much more complex, especially for main software publishers. Very few, if any, deployment algorithm takes Software Asset Management (SAM) considerations into account when placing software on Cloud architecture. This could have huge financial impact on the company using theses software. In this article, we present the SAM problem more deeply, then, after expressing our problem mathematically, we present GreenSAM, our multi-parametric heuristic handling performance and energy parameters as well as SAM considerations. We will then show the use of this heuristic on two realistic situations, first with an Oracle Database deployment and second with a larger scenario of managing a small OpenStack platform deployment. In both cases, we will compare GreenSAM with other heuristics to show how it handles the performance/energy criteria and the SAM compliance.