Energy Efficiency in integrated IT and optical network infrastructures: The GEYSERS approach

The great amounts of energy consumed by large-scale computing and network systems, such as data centers and supercomputers, have been a major source of concern in a society increasingly reliant on information technology. Trying to tackle this issue, the research community and industry have proposed a myriad of techniques to curb the energy consumed by IT systems. This article surveys techniques and solutions that aim to improve the energy efficiency of computing and network resources. It discusses methods to evaluate and model the energy consumed by these resources, and describes techniques that operate at a distributed system level, trying to improve aspects such as resource allocation, scheduling and network traffic management.This work aims to review the state of the art on energy efficiency and to foster research on schemes to make network and computing resources more efficient.

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“…Tzanakaki et al [Tzanakaki et al 2011] propose an energy-aware planning of Virtual Infrastructure (VI).…”

Section: · 25mentioning

confidence: 99%

A survey on techniques for improving the energy efficiency of large-scale distributed systems

2014

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“…To this end, countermeasures against failures of the IT servers and optical links of the PI that may lead to service disruption should be taken into account during the VI planning process. In the proposed planning algorithm, a possible failure of the primary IT server, i (4) where the sum is taken over all paths q on the routing list e Q of link e. Introducing the link-path incidence coefficients geq γ for the PI taking values equal to 1 if link g of PI belongs to path q realizing link e, 0 otherwise, the general formula specifying the PI capacity constraint can be stated as:…”

Section: Energy Aware Resilient Virtual Infrastructure Planningmentioning

confidence: 99%

“…In this paper, a modeling approach suitable for the planning of resilient VIs, formed over an integrated IT and optical network infrastructure, is proposed and implemented, extending our previous work on energy efficient VI planning [4]. The resilience scheme considered is that of 1:1 protection for both optical network and IT resources.…”

Section: Introductionmentioning

confidence: 99%

“…More specifically, in case of a failure of the primary IT server, demands are forwarded to a secondary (protection) IT server, while in case of an optical link failure demands are routed to their destination through a secondary (protection) path. To identify the least energy consuming resilient VI, the detailed power consumption models and figures, including both optical network and IT resources, are considered [4], [5]. Mapping the virtual to physical resources and defining the energy consumption parameters of the VIs themselves is also part of the VI planning.…”

Section: Introductionmentioning

confidence: 99%

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Energy efficiency considerations in integrated IT and optical network resilient infrastructures

Tzanakaki

Αναστασόπουλος

Georgakilas

et al. 2011

2011 13th International Conference on Transparent Optical Networks

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ABSTRACT:The European Integrated Project GEYSERS -Generalised Architecture for Dynamic Infrastructure Services -is concentrating on infrastructures incorporating integrated optical network and IT resources in support of the Future Internet with special emphasis on cloud computing. More specifically GEYSERS proposes the concept of Virtual Infrastructures over one or more interconnected Physical Infrastructures comprising both network and IT resources. Taking into consideration the energy consumption levels associated with the ICT today and the expansion of the Internet in size and complexity, that incurring increased energy consumption of both IT and network resources, energy efficient infrastructure design becomes critical. To address this need, in the framework of GEYSERS, we propose energy efficient design of infrastructures incorporating integrated optical network and IT resources, supporting resilient end-to-end services. Our modeling results quantify significant energy savings of the proposed solution by jointly optimizing the allocation of both network and IT resources.

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“…Fewer works [7], [8], [9] and [18] have focused on geographically distributed architecture where network features such as bandwidth or jitter play an important role in the requested IaaS service.…”

Section: Introductionmentioning

confidence: 99%

Column generation based-approach for IaaS aware Networked Edge Data-Centers

Jarray¹,

Salazar²,

Karmouch³

et al. 2014

2014 IEEE Globecom Workshops (GC Wkshps)

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Abstract-In this paper, our focus is on proposing a resource allocation approach for Infrastructure as Cloud Service (IaaS). Networked Edge Data-Centers (DCs) were selected as a physical infrastructure to handle IaaS Cloud requests. Doing so, we hold the potential of providing both a relatively high degree of independence between physical data centers' outages and an opportunity to reach economically IaaS cloud service users with low latency. An IaaS request is defined through two main requirements: Hosting and Networking resources. In literature, a number of works have proposed IaaS mapping approaches, however their focus was mainly on the cloud hosting requirements. Consequently, this may result in a high blocking of IaaS requests and a low utilization of resources inside the DCs due to stranding and fragmentation. To handle these drawbacks, we propose a joint optimization model of DCs and networking IaaS requirements that makes use of Column Generation technique coupled with a Branch and Bound approach in order to solve it efficiently.

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Energy Efficiency in integrated IT and optical network infrastructures: The GEYSERS approach

Cited by 41 publications

References 13 publications

A survey on techniques for improving the energy efficiency of large-scale distributed systems

A survey on techniques for improving the energy efficiency of large-scale distributed systems

Energy efficiency considerations in integrated IT and optical network resilient infrastructures

Column generation based-approach for IaaS aware Networked Edge Data-Centers

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