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Article
Publication date: 18 April 2016

Masoud Nosrati and Ronak Karimi

This paper aims to provide a method for media resource allocation in Cloud systems for supporting green computing policies, as well as attempting to improve the overall…

1672

Abstract

Purpose

This paper aims to provide a method for media resource allocation in Cloud systems for supporting green computing policies, as well as attempting to improve the overall performance of system by optimizing the communication latencies.

Design/methodology/approach

A common method for resource allocation is using resource agent that takes the budgets/prices of applicants/resources and creates a probability matrix of allocation according to the policies of system. Two general policies for optimization are latency optimization and green computing. Presented heuristic for latencies is so that the average latencies of communication between applicant and resource are measured, and they will affect the next decision. For gaining green computing, it is attempted to consolidate the allocated resources on smaller number of physical machines. So calculation formula of the price of each resource is modified to decrease the probability of allocating the resources on the machine with least allocated resources.

Findings

Results of proposed method indicates its success in both green computing and improving the performance. Experiments show decreasing 21.4 per cent of response time simultaneously with increasing tasks in the tested range. The maximum and minimum of saved energy is acceptable and reported as 79.2 and 16.8 per cent.

Research limitations/implications

Like other centralized solutions, the proposed method suffers from the limitations of centralized resource agent, like bottle neck. But the implementation of distributed resource agent is postponed to future work.

Originality/value

Proposed method presents heuristics for improving the performance and gaining green computing. The key feature is formulating all the details and considering pitch variables for controlling the policies of system.

Details

International Journal of Web Information Systems, vol. 12 no. 1
Type: Research Article
ISSN: 1744-0084

Keywords

Article
Publication date: 17 November 2020

Azad Shokri, Ghobad Moradi, Amjad Mohamadi Bolbanabad, Mitra Satary, Mahin Shabrandi, Parsa Sadeghkhani, Aram Mohammadi, Armin Ghorishi, Ronak Veisy, Arshad Veysi, Bakhtiar Piroozi, Shina Amiri Hoseini, Sonia Darvishi and Heshmatollah Asadi

The purpose of the study is to investigate the perceived stigma among residents of Sanandaj, west of Iran, following COVID-19 pandemic.

Abstract

Purpose

The purpose of the study is to investigate the perceived stigma among residents of Sanandaj, west of Iran, following COVID-19 pandemic.

Design/methodology/approach

This is a cross-sectional study conducted from March to April 2020. The sample consisted of 1,000 participants who live in Sanandaj. The data collection tool was a self-report electronic questionnaire. ANOVA and T-test were used to analyze the data.

Findings

The mean perceived stigma for COVID-19 was 5.50±2.24 (IQR: 3.75–6.87) out of 10-point scale. The highest point was seen for perceived external stigma (6.73±2.49, IQR: 5–8.75) followed by disclosure stigma (4.95±3.92, IQR: 0–10). Interestingly, self-employers were more concerned about disclosing their illness than those with governmental jobs (25±3.93 vs. 4.31±4.14, P<0.05), and also had an overall higher stigma score; 5.72±2.23 vs. 5.19±2.37, P<0.05).

Originality/value

COVID-19 stigma is high among Iranians and more common among men, youngsters and self-employers.

Details

International Journal of Human Rights in Healthcare, vol. 14 no. 1
Type: Research Article
ISSN: 2056-4902

Keywords

Article
Publication date: 31 May 2022

Stefan Seuring, Marcus Brandenburg, Philipp C. Sauer, Daphna-Sophie Schünemann, Ronakeh Warasthe, Sadaf Aman, Chen Qian, Kristina Petljak, Daiane Mülling Neutzling, Anna Land and Raja Usman Khalid

The COVID-19 pandemic has challenged supply chains (SCs) around the globe unprecedentedly. This study aims to gain insights on the impacts of the pandemic on SCs and their…

1157

Abstract

Purpose

The COVID-19 pandemic has challenged supply chains (SCs) around the globe unprecedentedly. This study aims to gain insights on the impacts of the pandemic on SCs and their management under consideration of different regional contexts on a global scale.

Design/methodology/approach

A Delphi study collects the expertise of global SC academics on the SC vulnerabilities and the measures for responding to disruptions, improving resilience, and restoring operations. Data from three polls are systematically analyzed by content, frequency, and cluster analysis.

Findings

The study identifies and ranks ten major issues related to SC vulnerabilities and management strategies for specific SC processes and geographical regions. Detected differences among the considered geographical regions point towards particular challenges and call for specific measures to integrate regional contingencies into SC management. In a regional comparison, China and Iran as well as Africa clearly stand out, but also Europe/North America, India/Pakistan, and Brazil show geographical particularities.

Research limitations/implications

The responses are collected against the COVID-19 pandemic, while the findings show differences among the regions thereby arguing for taking regional contingencies into account in managing SCs.

Practical implications

SC resilience is a core aim, which was emphasized by the COVID-19 pandemic. The findings provide insights and challenges that managers would have to meet in the different regions covered.

Originality/value

This paper contributes to existing knowledge on SC risks and SC resilience in context to extreme situations. Given that events, such as the COVID-19 pandemic, will become more frequent in the future due to climate change and geopolitical tensions, insights into how to manage SCs under extreme conditions and into regional differences are crucial.

Details

International Journal of Operations & Production Management, vol. 42 no. 8
Type: Research Article
ISSN: 0144-3577

Keywords

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