scholarly journals Managing the Cloud Continuum: Lessons Learnt from a Real Fog-to-Cloud Deployment

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2974
Author(s):  
Xavi Masip-Bruin ◽  
Eva Marín-Tordera ◽  
Sergi Sánchez-López ◽  
Jordi Garcia ◽  
Admela Jukan ◽  
...  

The wide adoption of the recently coined fog and edge computing paradigms alongside conventional cloud computing creates a novel scenario, known as the cloud continuum, where services may benefit from the overall set of resources to optimize their execution. To operate successfully, such a cloud continuum scenario demands for novel management strategies, enabling a coordinated and efficient management of the entire set of resources, from the edge up to the cloud, designed in particular to address key edge characteristics, such as mobility, heterogeneity and volatility. The design of such a management framework poses many research challenges and has already promoted many initiatives worldwide at different levels. In this paper we present the results of one of these experiences driven by an EU H2020 project, focusing on the lessons learnt from a real deployment of the proposed management solution in three different industrial scenarios. We think that such a description may help understand the benefits brought in by a holistic cloud continuum management and also may help other initiatives in their design and development processes.

Author(s):  
Xavi Masip-Bruin ◽  
Eva Marín-Tordera ◽  
Sergi Sánchez-López ◽  
Jordi Garcia ◽  
Admela Jukan ◽  
...  

The wide adoption of the recently coined fog and edge computing paradigms alongside conventional cloud computing creates a novel scenario, known as the cloud continuum, where services may benefit from the overall set of resources to optimize their execution. To operate successfully, such a cloud continuum scenario demands for novel management strategies, enabling a coordinated and efficient management of the entire set of resources, from the edge up to the cloud, designed in particular to address key edge characteristics, such as mobility, heterogeneity and volatility. The design of such a management framework poses many research challenges and has already promoted many initiatives worldwide at different levels. In this paper we present the results of one of these experiences driven by an EU H2020 project, focusing on the lessons learnt from a real deployment of the proposed management solution in three different industrial scenarios. We think that such a description may help understand the benefits brought in by a holistic cloud continuum management and also may help other initiatives in their design and development processes.


2017 ◽  
Vol 24 (4) ◽  
pp. 1065-1081 ◽  
Author(s):  
Andrea Chiarini ◽  
Emidia Vagnoni

Purpose This research enlarges the debate on the operations management strategies pursued by manufacturing companies. The purpose of this paper is to focus on issues concerning servitisation and customisation, enterprise resource planning (ERP) and Lean-agile, supply chain orchestration, corporate social responsibility (CSR) and Lean for design management. Design/methodology/approach A questionnaire of eight questions which stemmed from a literature review was completed by 152 senior operations managers from 120 large European manufacturing companies. Responses were scaled from strongly agree to strongly disagree. The results were tested for reliability using Cronbach’s α test. The questions were tested through a one-sample t-test. Findings The 152 respondents consider servitisation and standardisation to be a trade-off. They consider integration of ERP strategies with Lean and agile systems and customised products/processes to be difficult. Furthermore, suppliers’ orchestration is considered not that suitable for manufacturing companies and suppliers’ CSR performance measurement excessive. By contrast, a CSR internal performance measurement is helpful for increasing sales. The respondents also indicate that there is a lack of Lean tools for design and development processes and Six Sigma is the only strategy for improving quality performance in design and development processes. Research limitations/implications The findings are applicable only to the manufacturing sector. The findings of this research indicate many avenues of research for scholars. Practical implications The findings can be very useful for manufacturing operations managers deciding their future strategies on operations. Originality/value Findings related to servitisation and customisation, ERP and Lean-agile, supply orchestration for manufacturing companies and Lean and agile for product design are original and open a valuable debate.


Parasitology ◽  
2007 ◽  
Vol 134 (9) ◽  
pp. 1279-1289 ◽  
Author(s):  
D. VAGENAS ◽  
S. C. BISHOP ◽  
I. KYRIAZAKIS

SUMMARYThis paper describes sensitivity analyses and expectations obtained from a mathematical model developed to account for the effects of host nutrition on the consequences of gastrointestinal parasitism in sheep. The scenarios explored included different levels of parasitic challenge at different planes of nutrition, for hosts differing only in their characteristics for growth. The model was able to predict the consequences of host nutrition on the outcome of parasitism, in terms of worm burden, number of eggs excreted per gram faeces and animal performance. The model outputs predict that conclusions on the ability of hosts of different characteristics for growth to cope with parasitism (i.e. resistance) depend on the plane of nutrition. Furthermore, differences in the growth rate of sheep, on their own, are not sufficient to account for differences in the observed resistance of animals. The model forms the basis for evaluating the consequences of differing management strategies and environments, such as breeding for certain traits associated with resistance and nutritional strategies, on the consequences of gastrointestinal parasitism on sheep.


2014 ◽  
Vol 31 (01) ◽  
pp. 1450006 ◽  
Author(s):  
NING-RONG TAO ◽  
ZU-HUA JIANG ◽  
LU ZHEN

For shipbuilding, spatial scheduling and workforce assignment are two important issues for the operation management in block assembly shops. Spatial scheduling is to decide where and when to assemble blocks, while workforce assignment is to assign working teams to the blocks. Traditionally, they are made separately at different levels in the production management framework. The combining of such decisions presents additional complexity and new problems. This paper proposes an approach that solves jointly the spatial scheduling problem and the workforce assignment problem. The objective is to improve the coordination among working teams and increase the productivity of assembly shops. A spatial layout strategy is designed according to extreme point and deep bottom left strategies. By using genetic algorithm, a solution method is developed based on the spatial layout strategy and several assignment and sequence rules. Some computational experiments are conducted to evaluate the performance of the presented algorithm and compare it with other commonly used methods. Computational results validate the effectiveness and efficiency of the proposed algorithm.


2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Kai Peng ◽  
Victor C. M. Leung ◽  
Xiaolong Xu ◽  
Lixin Zheng ◽  
Jiabin Wang ◽  
...  

Mobile cloud computing (MCC) integrates cloud computing (CC) into mobile networks, prolonging the battery life of the mobile users (MUs). However, this mode may cause significant execution delay. To address the delay issue, a new mode known as mobile edge computing (MEC) has been proposed. MEC provides computing and storage service for the edge of network, which enables MUs to execute applications efficiently and meet the delay requirements. In this paper, we present a comprehensive survey of the MEC research from the perspective of service adoption and provision. We first describe the overview of MEC, including the definition, architecture, and service of MEC. After that we review the existing MUs-oriented service adoption of MEC, i.e., offloading. More specifically, the study on offloading is divided into two key taxonomies: computation offloading and data offloading. In addition, each of them is further divided into single MU offloading scheme and multi-MU offloading scheme. Then we survey edge server- (ES-) oriented service provision, including technical indicators, ES placement, and resource allocation. In addition, other issues like applications on MEC and open issues are investigated. Finally, we conclude the paper.


2021 ◽  
Author(s):  
Divyesh Kumar

World over life was going at its normal pace when an outbreak occurred in Hubei province of China in the later part of the year 2019. This outbreak was soon found to be caused by a virus named coronavirus (COVID-19). Rapidly the virus spread globally leading to a pandemic. The mortality rate was increasing day by day and helplessly everyone was wondering what actually could be done to prevent the spread. Lessons from the past epidemic made it possible to think that maintaining social distancing and adequate hygiene might help to combat the ailment. In India, majorly affected were the people from poor strata and the businessmen who were earning their daily bread by selling things of daily need. The health sector too witnessed an alarming ratio of patients suffering from COVID-19. The second wave, which soon followd the first wave, caused much more havoc. Overall, the COVID-19 pandemic, exposed and challanged the health security system of every country. As the danger of pandemic still prevails, steps to curtail the spread of disease and future management strategies should be formulated from the lessons learnt through the COVID-19 phase.


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