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Related Concept Videos

Transmission Line Design Considerations01:23

Transmission Line Design Considerations

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Aluminum has become the material of choice for overhead transmission lines, surpassing copper due to its abundance and cost-effectiveness. The most prevalent type is the aluminum conductor, steel-reinforced (ACSR), which combines aluminum strands around a steel core. Other variants include all-aluminum conductors (AAC), all-aluminum alloy conductors (AAAC), aluminum conductor alloy-reinforced (ACAR), and aluminum-clad steel conductors. Advanced designs, such as aluminum conductors with steel...
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Maximum Power Flow and Line Loadability01:23

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The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
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Secondary Distribution01:25

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Secondary distribution systems provide electrical energy at the utilization voltage levels from distribution transformers to customer meters. Typical secondary voltages in the United States include 120/240 V for residential use, 208Y/120 V for residential and commercial use, and 480Y/277 V for industrial and high-rise commercial use.
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Cable Subjected to Concentrated Loads01:28

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Flexible cables are commonly used in various applications for support and load transmission. Consider a cable fixed at two points and subjected to multiple vertically concentrated loads. Determine the shape of the cable and the tension in each portion of the cable, given the horizontal distances between the loads and supports.
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Design Example01:23

Design Example

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The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
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Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
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Related Experiment Video

Updated: Jun 23, 2025

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
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Resource demands in telco data centers.

Dimitra Paranou1, Angelos Pentelas2, George Doukas2

  • 1Athena Research Center, Information Management Systems Institute, Athens, Greece. dparanou@athenarc.gr.

Scientific Data
|June 21, 2024
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Summary

This study introduces a comprehensive dataset for telecommunication (telco) cloud workloads, addressing a critical research gap. The dataset aids in optimizing telco data center operations and resource management for improved efficiency and performance.

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Area of Science:

  • Cloud Computing
  • Telecommunication Systems
  • Data Center Operations

Background:

  • Telecommunication (telco) cloud services are vital for modern digital infrastructure, yet lack detailed production workload data.
  • Effective resource management in telco clouds requires understanding workload characteristics for systems like schedulers and power management.

Purpose of the Study:

  • To address the gap in telco cloud research by creating a comprehensive dataset of production workload patterns.
  • To provide data enabling strategic network configuration and data center optimization.

Main Methods:

  • Development of a comprehensive dataset capturing application demand patterns in telco data centers.
  • Analysis of workload characteristics to inform resource management strategies.

Main Results:

  • A novel dataset detailing telco cloud production workload patterns.
  • Demonstrated applicability for network configuration, data center sizing, and operational decision-making.

Conclusions:

  • The created dataset is crucial for advancing telco cloud research and development.
  • The dataset facilitates enhanced efficiency, cost reduction, and optimal performance in telecommunication data centers.