Multimedia content is massively generated from various applications and devices, and processed in cloud data centers. Multimedia service providers prefer that their data are processed in data centers close to users in order to offer them high performance and reliable multimedia services that meet the requirements specified in the Service Level of Agreement (SLA). This requires transferring huge data sets of video streams, games content, images etc. across geographically distributed cloud data centers using underutilized bandwidth in backbone transport networks. As the amount of multimedia content increases, the demand to transfer big data sets across data centers increases as well. As such, the leftover bandwidth that appears at different times and for different durations in the backbone network becomes insufficient to satisfy the rapidly increasing demand for multimedia big data transfer. This challenge led to the creation of multi-rate Bandwidth on-Demand (BoD) service offerings for communication between geographically distributed cloud data centers. In this paper, we focus on BoD services which are offered by the Dense Wavelength Division Multiplexing (DWDM) layer because of its huge capacity. We propose a BoD broker which employs a scheduling algorithm that considers various deadlines of multimedia big data transfer requests. The broker in our model leverages the concept of standby wavelengths to minimize peak traffic and accommodate time requirements of delay-tolerant and delay-intolerant transfer requests. We also study strategies of routing and wavelength assignment using Mixed Integer Programming (MIP) optimization to rapidly handle volumes of multimedia big data transfer requests.

中文翻译：

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跨地理分布式云数据中心的多媒体大数据按需传输带宽

多媒体内容从各种应用程序和设备中大量生成，并在云数据中心进行处理。多媒体服务提供商更喜欢在靠近用户的数据中心处理他们的数据，以便为他们提供满足服务级别协议 (SLA) 规定要求的高性能和可靠的多媒体服务。这需要使用骨干传输网络中未充分利用的带宽跨地理分布的云数据中心传输大量视频流、游戏内容、图像等数据集。随着多媒体内容量的增加，跨数据中心传输大数据集的需求也在增加。因此，骨干网不同时间、不同时长出现的剩余带宽已不足以满足快速增长的多媒体大数据传输需求。这一挑战导致创建了多速率按需带宽 (BoD) 服务产品，用于地理分布的云数据中心之间的通信。在本文中，我们关注由密集波分复用 (DWDM) 层提供的 BoD 服务，因为它具有巨大的容量。我们提出了一种 BoD 代理，它采用了一种调度算法，该算法考虑了多媒体大数据传输请求的各种截止日期。我们模型中的代理利用备用波长的概念来最小化峰值流量并适应延迟容忍和延迟不容忍传输请求的时间要求。