Dual Optimization of Revenue and Expense in Geo-Distributed Data Centers Using Smart Grid

Khalid, Saifullah; Ahmad, Ishfaq

doi:10.1109/tcc.2022.3150985

Cited by 4 publications

(2 citation statements)

References 44 publications

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“…A breakdown of the energy consumed by a data center shows that the cooling infrastructure and the computational infrastructure are the main components that absorb the data center energy with up to 40% and 56% respectively [8]. Therefore, the data center-enabled HAP can significantly reduce the energy consumed by a terrestrial data center thanks to two main reasons.…”

Section: A Energy Savingmentioning

confidence: 99%

“…Also, high resource utilization requires high harvested energy, which may preclude the flying condition. On the other hand, the under-utilization of the available resources might yield aging servers and substantial wasted energy since the idle servers can consume as high as 60% of the peak power [8]. Therefore, it is valuable to adopt the adequate resource management (e.g.…”

Section: Trade-offsmentioning

confidence: 99%

See 1 more Smart Citation

Latency-Aware Offloading in Integrated Satellite Terrestrial Networks

Abderrahim¹,

Amin²,

Alouini³

et al. 2020

Preprint

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Next-generation communication networks are expected to integrate newly-used technologies in a smart way to ensure continuous connectivity in rural areas and to alleviate the traffic load in dense regions. The prospective access network in 6G should hinge on satellite systems to take advantage of their wide coverage and high capacity. However, adopting satellites in 6G could be hindered because of the additional latency introduced, which is not tolerable by all traffic types. Therefore, we propose a traffic offloading scheme that integrates both the satellite and terrestrial networks to smartly allocate the traffic between them while satisfying different traffic requirements. Specifically, the proposed scheme offloads the Ultra-Reliable Low Latency Communication (URLLC) traffic to the terrestrial backhaul to satisfy its stringent latency requirement. However, it offloads the enhanced Mobile Broadband (eMBB) traffic to the satellite since eMBB needs high data rates but is not always sensitive to delay. Our scheme is shown to reduce the transmission delay of URLLC packets, decrease the number of dropped eMBB packets, and hence improve the network's availability. Our findings highlight that the inter-working between satellite and terrestrial networks is crucial to mitigate the expected high load on the limited terrestrial capacity.

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Section: A Energy Savingmentioning

confidence: 99%

Section: Trade-offsmentioning

confidence: 99%

Latency-Aware Offloading in Integrated Satellite Terrestrial Networks

Abderrahim¹,

Amin²,

Alouini³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

Optimizing Operations in IoT-Enabled Smart Grid

Khalid,

Ahmad

2023

Springer Handbooks

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An energy-aware application module for the fog-based internet of military things

Bichi

Islam

Kademi

et al. 2022

Discov Internet Things

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Smart devices in various application areas are becoming increasingly prevalent for efficient handling of multiple critical activities. One such area of interest is high-security militarized environments. Due to military zones’ harsh and unpredictable nature, monitoring devices deployed in such environments must operate without power interruption for extended time periods. Therefore, it is essential to choose an appropriate application design for operating these “things” in the internet of things (IoT) environment such that energy can be conserved throughout the operating span of an application. This paper presents two application modules and analyzes their performance in terms of energy conservation considering a military-based IoT-Fog architecture. The two modules are: A sequential application module, and a master-worker application module. Experimental results show that the master-worker module incurs lower energy consumption and communication overhead than the sequential application module. Significantly, the master-worker module exhibits a lower delay in tuple execution by almost four milliseconds while also accounting for lower simulation time and higher network utilization. The module achieves significant savings in energy consumption, making it more effective in handling smart devices.

show abstract

Dual Optimization of Revenue and Expense in Geo-Distributed Data Centers Using Smart Grid

Cited by 4 publications

References 44 publications

Latency-Aware Offloading in Integrated Satellite Terrestrial Networks

Latency-Aware Offloading in Integrated Satellite Terrestrial Networks

Optimizing Operations in IoT-Enabled Smart Grid

An energy-aware application module for the fog-based internet of military things

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