Selection of the Intelligent Power Distribution Cabinets for the Computer Room of Video Monitoring Data Center

Along with the increasing investment in the construction of large-scale data centers as well as operation centers, the users of the data centers have begun to encounter all sorts of difficulties in safety, energy consumption, and automated management. Computer room is the core of the whole automated construction and its establishment rationality, areas, and extensibility have a close tie with the maintenance and flexibility requirements of computer room. Under the demand of users, how to select the most appropriate intelligent power distribution cabinet for the computer room of video monitoring data center has become very important. In this paper, the functions of intelligent power distribution cabinet in computer room are analyzed from the perspective of user demand, and then how to select the most appropriate intelligent power distribution cabinet products is discussed.

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Interconnection Structures, Management and Routing Challenges in Cloud-Service Data Center Networks: A Survey

International Journal of Interactive Mobile Technologies (iJIM) ◽

10.3991/ijim.v12i1.7573 ◽

2018 ◽

Vol 12 (1) ◽

pp. 36 ◽

Cited By ~ 3

Author(s):

Ahmad Nahar Quttoum

Keyword(s):

Resource Utilization ◽

Data Center ◽

Large Scale ◽

Data Centers ◽

Virtual Machines ◽

Cloud Service ◽

Data Center Networks ◽

Large Scale Data ◽

Service Data ◽

Scale Data

Today’s data center networks employ expensive networking equipments in associated structures that were not designed to meet the increasing requirements of the current large-scale data center services. Limitations that vary between reliability, resource utilization, and high costs are challenging. The era of cloud computing represents a promise to enable large-scale data centers. Computing platforms of such cloud service data centers consist of large number of commodity low-price servers that, with a theme of virtualization on top, can meet the performance of the expensive high-level servers at only a fraction of the price. Recently, the research in data center networks started to evolve rapidly. This opened the path for addressing many of its design and management challenges, these like scalability, reliability, bandwidth capacities, virtual machines’ migration, and cost. Bandwidth resource fragmentation limits the network agility, and leads to low utilization rates, not only for the bandwidth resources, but also for the servers that run the applications. With Traffic Engineering methods, managers of such networks can adapt for rapid changes in the network traffic among their servers, this can help to provide better resource utilization and lower costs. The market is going through exciting changes, and the need to run demanding-scale services drives the work toward cloud networks. These networks that are enabled by the notation of autonomic management, and the availability of commodity low-price network equipments. This work provides the readers with a survey that presents the management challenges, design and operational constraints of the cloud-service data center networks

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