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Parallel Architectures
Published in Pranabananda Chakraborty, Computer Organisation and Architecture, 2020
Blade server, in essence, is a stripped down computer server with a modular design optimized to reduce the use of physical space, minimize power consumption, and thereby less heat generation, and also fulfils other requirements with lesser components while still offering all the functionalities to be a full-fledged computer by itself. A server blade with all its functional components along with similar other blades, and network connectivity with the required accessories for all these server blades when typically housed in a rack-mountable enclosure share common resources such as cabling, power supplies, cooling fans, etc., thereby reducing both cost and complexities associated with these heads. When compared to a traditional computer server, the blade server offers a superior computational power, better scalability, higher fault-tolerance, and easy portability with an overall reduced cost and less overhead.
Analyzing the Problem or Opportunity
Published in Chiang H. Ren, The Fundamentals of Developing Operational Solutions for the Government, 2018
Whether servers are deployed as part of a cloud or as bare metal, they are set in racks and placed in data center facilities. The facilities provide power to the racks and servers as well as heating, ventilation, and air conditioning (HVAC) to prevent servers from overheating. Modern blade servers require extensive cooling, so other cooling techniques, such as by fluids, may be used. Data centers are connected to the local area network (LAN) as well as to the local wireless networks. This permits the hosted applications to support user devices connected to the network. At one time, user devices were largely desktop and laptop computers. Now, most applications are designed to be further accessed through cell phones and tablets.
Storing Information
Published in Kirk Hausman, Sustainable Enterprise Architecture, 2011
Unlike network attached storage solutions, which use software and hardware to provide networked resource access across standard network interconnectivity, a storage area network employs specialized high-performance network transport protocols and dedicated network connectivity to aggregate storage and consuming systems into a more cohesive high-speed mesh. SAN solutions allow greater control over resource allocation and management, thus facilitating data center storage consolidation efforts. SAN solutions should be considered for consolidation and when very-high-density servers preclude large direct attached server storage arrays. Many blade server implementations include SAN elements for storage aggregation and provisioning external to the high-density server blade chassis. Organizations with sufficient networking capacity and throughput can integrate SAN storage pools and host agents across numerous well-connected locations, allowing enterprises to take advantage of separate cooling efficiencies for server data and data storage centers.
Energy savings and usability of zero-client computing in office settings
Published in Intelligent Buildings International, 2020
Amanda Farthing, M. Rois Langner, Kim Trenbath
Blade servers within the VDI provide the CPUs, memory resources, and network connectivity that VMs need for computation. Within the RSF VDI, these blade servers use VMware—a virtualization software that dynamically allocates server space to VMs, allowing multiple operating systems to share a single hardware host (Sheppy et al. 2011). At the time of this study, server virtualization in the RSF data center VDI environment allows one blade server to host an average of 25 VMs. Because each blade server uses 215 W, each VM can be apportioned 8.6 W (Sheppy et al. 2011). If a server were to host the maximum number of VMs possible (∼40), the pro rata wattage would be reduced to 5.4 W per VM.
DAPR-tree: a distributed spatial data indexing scheme with data access patterns to support Digital Earth initiatives
Published in International Journal of Digital Earth, 2020
Jizhe Xia, Sicheng Huang, Shaobiao Zhang, Xiaoming Li, Jianrong Lyu, Wenqun Xiu, Wei Tu
To analyse data access patterns, we collected the daily system operation log-files of GEOSS Clearinghouse from the official operational server (the traditional blade-server from 2010 to 2011 and AWS cloud computing server from 2011 to 2012). These log-files recorded various request information including but not limited to access location, access time, requested data identifier, data coverage (both spatial and temporal) and data theme. These log-files were analysed with a variety of data mining technologies to calculate historical data access possibilities (Xia et al. 2014).
Towards intuitive visualisation goals for the operation optimisation of automated container terminal based on digital twin technology
Published in Maritime Policy & Management, 2023
Ang Yang, Yang Liu, Congying Xin, Qiang Chen, Liang Wang
This digital twin system consists of two servers. The TOS is performed using the blade server, while the SCADA is performed using the graphics server. The components of the TOS server are described in Table 3. The components of the SCADA server are described in Table 4.