Topic
Software-defined data center
About: Software-defined data center is a research topic. Over the lifetime, 184 publications have been published within this topic receiving 2034 citations.
Papers
TL;DR: A survey of the current state-of-the-art in data center networks virtualization, and a detailed comparison of the surveyed proposals are presented.
Abstract: With the growth of data volumes and variety of Internet applications, data centers (DCs) have become an efficient and promising infrastructure for supporting data storage, and providing the platform for the deployment of diversified network services and applications (e.g., video streaming, cloud computing). These applications and services often impose multifarious resource demands (storage, compute power, bandwidth, latency) on the underlying infrastructure. Existing data center architectures lack the flexibility to effectively support these applications, which results in poor support of QoS, deployability, manageability, and defence against security attacks. Data center network virtualization is a promising solution to address these problems. Virtualized data centers are envisioned to provide better management flexibility, lower cost, scalability, better resources utilization, and energy efficiency. In this paper, we present a survey of the current state-of-the-art in data center networks virtualization, and provide a detailed comparison of the surveyed proposals. We discuss the key research challenges for future research and point out some potential directions for tackling the problems related to data center design.
745 citations
TL;DR: A closer look at the current SFC architecture and a survey of the recent developments in SFC including its relevance with NFV to help determine the future research directions and the standardization efforts of SFC are provided.
334 citations
TL;DR: An overview of data center networks for cloud computing and evaluate construction prototypes based on these issues is presented, specifically, detailed descriptions of several important aspects: the physical architecture, virtualized infrastructure, and DCN routing.
142 citations
7 Jul 2019
TL;DR: This paper proposes a software-defined infrastructure design in a decentralized fashion that can establish a new generation of responsive decentralized data governance that can promote the innovation of linking data to better adapt the open environment and diverse user requirements.
Abstract: Exploring and mining the explosive burst of "big data" has already generated a lot of innovative applications, especially the recent advances of AI applications, and thus produced big values to the human society and civilization. However, due to the centralized patterns of data governance activities, including creation, sharing, exchange, management, analytics, tracing, and accounting, the potential values of big data distributed on the Internet are far away from being adequately explored. The recent announcement of data protection policies/laws such as GDPR makes the problem even more challenging. We are now at a moment of truth where the data governance infrastructure should be reconsidered and redesigned. In this paper, we propose a software-defined infrastructure design in a decentralized fashion: data owners are able to implement and deploy their own rules to the application systems where the data are produced for further governance activities. Such a fashion is quite similar to the popular software-defined networking where users are allowed to deploy rules of switches and customize the use. Our principled infrastructure design can radically reform the current data governance activities into a decentralized topology. On the one hand, data can be separated from the application that generates the data, and data owners can have the full rights to decide where their data should be stored and how the data can be shared. On the other hand, data users can search, discover, integrate, and analyze the data from various data sources according to their application requirements and scenarios. As a result, we argue that our infrastructure can establish a new generation of responsive decentralized data governance that can promote the innovation of linking data to better adapt the open environment and diverse user requirements. With this perspective, we briefly discuss some key insights and enumerate several related new technologies and open challenges.
72 citations
5 May 2014
TL;DR: Software-Defined Infrastructure enables programmability of infrastructure by enabling the support of cloud-based applications, customized network functions, and hybrid combinations of these by controlling converged heterogeneous resources using virtualization and a topology manager that provides the status of all resources and their connectivity.
Abstract: In this paper we consider Software-Defined Infrastructure (SDI), a new concept for integrated control and management of converged heterogeneous resources. SDI enables programmability of infrastructure by enabling the support of cloud-based applications, customized network functions, and hybrid combinations of these. We motivate SDI in the context of a multi-tier cloud that includes massive-scale datacenters as well as a smart converged network edge. In SDI, a centralized SDI manager controls converged heterogeneous resources (i.e., computing, programmable hardware, and networking resources) using virtualization and a topology manager that provides the status of all resources and their connectivity. We discuss the design and implementation of SDI in the context of the Canadian SAVI testbed. We describe the current deployment of the SAVI testbed and applications that are currently supported in the testbed.
52 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2021 | 7 |
| 2020 | 13 |
| 2019 | 22 |
| 2018 | 21 |
| 2017 | 23 |
| 2016 | 29 |