Hybrid Optical Switching for Data Center Networks

Current data centers networks rely on electronic switching and point-to-point interconnects. When considering future data center requirements, these solutions will raise issues in terms of flexibility, scalability, performance, and energy consumption. For this reason several optical switched interconnects, which make use of optical switches and wavelength division multiplexing (WDM), have been recently proposed. However, the solutions proposed so far suffer from low flexibility and are not able to provide service differentiation. In this paper we introduce a novel data center network based on hybrid optical switching (HOS). HOS combines optical circuit, burst, and packet switching on the same network. In this way different data center applications can be mapped to the optical transport mechanism that best suits their traffic characteristics. Furthermore, the proposed HOS network achieves high transmission efficiency and reduced energy consumption by using two parallel optical switches. We consider the architectures of both a traditional data center network and the proposed HOS network and present a combined analytical and simulation approach for their performance and energy consumption evaluation. We demonstrate that the proposed HOS data center network achieves high performance and flexibility while considerably reducing the energy consumption of current solutions.

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High performance SDN enabled flat data center network architecture based on scalable and flow-controlled optical switching system

2015 17th International Conference on Transparent Optical Networks (ICTON) ◽

10.1109/icton.2015.7193448 ◽

2015 ◽

Cited By ~ 1

Author(s):

Nicola Calabretta ◽

Wang Miao ◽

Harm Dorren

Keyword(s):

Data Center ◽

Network Architecture ◽

High Performance ◽

Optical Switching ◽

Switching System ◽

Data Center Network

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High-performance flat data center network architecture based on scalable and flow-controlled optical switching system

10.1117/12.2205231 ◽

2016 ◽

Author(s):

Nicola Calabretta ◽

Wang Miao ◽

Harm Dorren

Keyword(s):

Data Center ◽

Network Architecture ◽

High Performance ◽

Optical Switching ◽

Switching System ◽

Data Center Network

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A Bit String Content Aware Chunking Strategy for Reduced CPU Energy on Cloud Storage

Journal of Electrical and Computer Engineering ◽

10.1155/2015/242086 ◽

2015 ◽

Vol 2015 ◽

pp. 1-8 ◽

Cited By ~ 1

Author(s):

Bin Zhou ◽

ShuDao Zhang ◽

Ying Zhang ◽

JiaHao Tan

Keyword(s):

Energy Consumption ◽

Data Center ◽

System Performance ◽

Cloud Storage ◽

High Performance ◽

Factors Affecting ◽

Redundant Data ◽

Energy Factors ◽

The Cost ◽

Content Aware

In order to achieve energy saving and reduce the total cost of ownership, green storage has become the first priority for data center. Detecting and deleting the redundant data are the key factors to the reduction of the energy consumption of CPU, while high performance stable chunking strategy provides the groundwork for detecting redundant data. The existing chunking algorithm greatly reduces the system performance when confronted with big data and it wastes a lot of energy. Factors affecting the chunking performance are analyzed and discussed in the paper and a new fingerprint signature calculation is implemented. Furthermore, a Bit String Content Aware Chunking Strategy (BCCS) is put forward. This strategy reduces the cost of signature computation in chunking process to improve the system performance and cuts down the energy consumption of the cloud storage data center. On the basis of relevant test scenarios and test data of this paper, the advantages of the chunking strategy are verified.

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Energy-Efficiency in Cloud Data Centers

Advances in Systems Analysis, Software Engineering, and High Performance Computing - Communication Infrastructures for Cloud Computing ◽

10.4018/978-1-4666-4522-6.ch011 ◽

2013 ◽

pp. 241-263

Author(s):

Burak Kantarci ◽

Hussein T. Mouftah

Keyword(s):

Cloud Computing ◽

Energy Consumption ◽

Data Center ◽

Energy Efficient ◽

Large Scale ◽

Data Centers ◽

High Energy ◽

It Services ◽

Data Center Network ◽

Cloud Data

Cloud computing aims to migrate IT services to distant data centers in order to reduce the dependency of the services on the limited local resources. Cloud computing provides access to distant computing resources via Web services while the end user is not aware of how the IT infrastructure is managed. Besides the novelties and advantages of cloud computing, deployment of a large number of servers and data centers introduces the challenge of high energy consumption. Additionally, transportation of IT services over the Internet backbone accumulates the energy consumption problem of the backbone infrastructure. In this chapter, the authors cover energy-efficient cloud computing studies in the data center involving various aspects such as: reduction of processing, storage, and data center network-related power consumption. They first provide a brief overview of the existing approaches on cool data centers that can be mainly grouped as studies on virtualization techniques, energy-efficient data center network design schemes, and studies that monitor the data center thermal activity by Wireless Sensor Networks (WSNs). The authors also present solutions that aim to reduce energy consumption in data centers by considering the communications aspects over the backbone of large-scale cloud systems.

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Challenges in Future Intra-Data-Center Networks and Possible Solutions

Advances in Wireless Technologies and Telecommunication - Design, Implementation, and Analysis of Next Generation Optical Networks ◽

10.4018/978-1-5225-9767-4.ch005 ◽

2020 ◽

pp. 157-199

Author(s):

Muhammad Ishaq ◽

Mohammad Kaleem ◽

Numan Kifayat

Keyword(s):

Optical Networks ◽

Data Center ◽

Network Architecture ◽

Power Efficiency ◽

Current Data ◽

Network Architectures ◽

Data Center Network ◽

Data Center Networks ◽

Bandwidth Utilization ◽

Transparent Optical Networks

This chapter briefly introduces the data center network and reviews the challenges for future intra-data-center networks in terms of scalability, cost effectiveness, power efficiency, upgrade cost, and bandwidth utilization. Current data center network architecture is discussed in detail and the drawbacks are pointed out in terms of the above-mentioned parameters. A detailed background is provided that how the technology moved from opaque to transparent optical networks. Additionally, it includes different data center network architectures proposed so far by different researchers/team/companies in order to address the current problems and meet the demands of future intra-data-center networks.

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