Holistic approach to management of IT infrastructure for environmental monitoring and decision support systems with urgent computing capabilities

Baliś, Bartosz; Brzoza-Woch, Robert; Bubak, Marian; Kasztelnik, Marek; Kwolek, Bartosz; Nawrocki, Piotr; Nowakowski, Piotr; Szydło, Tomasz; Zieliński, Krzysztof

doi:10.1016/j.future.2016.08.007

Cited by 17 publications

(11 citation statements)

References 22 publications

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“…Similarly, Li et al [8] proposed a VM Scheduling (VMS) technique to reduce energy consumption of servers and identifies the effect of energy consumption on SLA violation rate to improve user satisfaction. Balis et al [7] proposed a Holistic Approach (HA) for management of IT infrastructure to reduce execution cost and energy consumption. Perez et al [10] proposed a Holistic Workload Scaling (HWS) technique to enable scaling of resources vertically as well as horizontally simultaneously and aids to reduce latency using multi-scaling approach without considering energy consumption of cloud resources.…”

Section: Energy-aware Cloud Resource Schedulingmentioning

confidence: 99%

“…The proposed technique (CRUZE) schedules the provisioned resources for the execution of clustered and heterogeneous workloads to enable reliable and sustainable cloud services. ✔ ✔ ✔ HA [7] ✔ ✔ VMS [8] ✔ ✔ HWS [10] ✔ HEOF [11] ✔ ✔ ✔ ✔ ✔ ✔ SCA [12] ✔ HMRM [13] ✔ ✔ HACSP [14] ✔ HEM [15] ✔ ✔ CSRE [16] ✔ ✔ ✔ CDStore [17] ✔ ✔ MORS [18] ✔ ✔ AJIT [19] ✔ ✔ ✔ HSIA [20] ✔ ✔ E-storm [21] ✔ ✔ DCLCA [22] ✔ ✔ GTCO [23] ✔ ✔ ✔ COTC [24] ✔ ✔ CORM [25] ✔ ✔ ✔ CSATS [26] ✔ ✔ CSMH [27] ✔ ✔ EEDCM [60] ✔ ROCDC [61] ✔ ✔ CRUZE (proposed)…”

Section: Cuckoo Optimization Based Energy-aware Cloud Resource Schedumentioning

confidence: 99%

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Holistic resource management for sustainable and reliable cloud computing: An innovative solution to global challenge

Gill

Garraghan

Stankovski

et al. 2019

Journal of Systems and Software

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Minimizing the energy consumption of servers within cloud computing systems is of upmost importance to cloud providers towards reducing operational costs and enhancing service sustainability by consolidating services onto fewer active servers. Moreover, providers must also provision high levels of availability and reliability, hence cloud services are frequently replicated across servers that subsequently increases server energy consumption and resource overhead. These two objectives can present a potential conflict within cloud resource management decision making that must balance between service consolidation and replication to minimize energy consumption whilst maximizing server availability and reliability, respectively. In this paper, we propose a cuckoo optimization-based energy-reliability aware resource scheduling technique (CRUZE) for holistic management of cloud computing resources including servers, networks, storage, and cooling systems. CRUZE clusters and executes heterogeneous workloads on provisioned cloud resources and enhances the energy-efficiency and reduces the carbon footprint in datacenters without adversely affecting cloud service reliability. We evaluate the effectiveness of CRUZE against existing stateof-the-art solutions using the CloudSim toolkit. Results indicate that our proposed technique is capable of reducing energy consumption by 20.1% whilst improving reliability and CPU utilization by 17.1% and 15.7% respectively without affecting other Quality of Service parameters.

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Section: Energy-aware Cloud Resource Schedulingmentioning

confidence: 99%

Section: Cuckoo Optimization Based Energy-aware Cloud Resource Schedumentioning

confidence: 99%

Holistic resource management for sustainable and reliable cloud computing: An innovative solution to global challenge

Gill

Garraghan

Stankovski

et al. 2019

Journal of Systems and Software

View full text Add to dashboard Cite

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“…The results presented in this paper were conducted as part of the ISMOP Project [9], during which an earthen flood embankment in the shape of a stadium was built and used for the simulation of flood waves by changing the water level in the internal reservoir. A dense network of sensors (water pore pressure, temperature, strain, piezometers) was placed inside this construction [1]. An early warning computer system based on these measurements will be created as part of the ISMOP Project ( [3,6]).…”

Section: Introductionmentioning

confidence: 99%

Influence of initial water saturation in earthen levees on results of numerical modelling of infiltration processes

Dwornik

Franczyk

Leśniak

et al. 2017

csci

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Levees in Poland are mostly earthen constructions. The stability of earthen levees depends largely on factors such as the construction material, meteorological conditions, and natural elements. The influence of the initial water saturation of the pore space on levee stability is analyzed in this paper. The analysis was performed using numerical modeling, and the water pore-pressure results were compared to the data obtained from the sensors located in a levee. The numerical modeling shows a moderate influence of the initial water level on the distribution of water pore pressure during high water levels. The influence of the initial water level in a levee is the smallest in the infiltration zone close to water reservoir and increases with distance from the water.

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“…The maximum safe water level is 4 m. The embankments contain multiple sensors that record pore pressure, temperature, and stress. The readings from these sensors are available in real time [1,18]. A modern fiber-optic system was installed in the embankment to provide continuous passive or active temperature measurements.…”

Section: Introductionmentioning

confidence: 99%

Optimal selection of numerical models for flood embankment pore pressure and temperature data

Chuchro

Dwornik

Szostek

et al. 2017

csci

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This article presents a method of the stability assessment of the experimental flood embankment used in the ISMOP project. Simultaneous conduction of numerical modeling using Itasca Flac 2D 7.0 software and real performed flood experiments allows for a detailed analysis of the state of flood embankment stability. The aim of the article is a presentation of similarity assessment between numerical models and a real performed flooding experiment using an aggregate moving window and L1-norm. By evaluating these similarity measures, numerical models with greater resemblance to real data from a flood embankment are chosen. On this basis, the embankment stability state is evaluated. In addition, the purpose of this article is also to present the results of the performed tests between those gathered in the database numerical models and a real flooding experiment from a full-size earthen flood embankment with built-in sensors built in Czernichow, Poland.

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Holistic approach to management of IT infrastructure for environmental monitoring and decision support systems with urgent computing capabilities

Cited by 17 publications

References 22 publications

Holistic resource management for sustainable and reliable cloud computing: An innovative solution to global challenge

Holistic resource management for sustainable and reliable cloud computing: An innovative solution to global challenge

Influence of initial water saturation in earthen levees on results of numerical modelling of infiltration processes

Optimal selection of numerical models for flood embankment pore pressure and temperature data

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