HOSTED SCIENCE: MANAGING COMPUTATIONAL WORKFLOWS IN THE CLOUD

2013 ◽  
Vol 23 (02) ◽  
pp. 1340004 ◽  
Author(s):  
EWA DEELMAN ◽  
GIDEON JUVE ◽  
MACIEJ MALAWSKI ◽  
JAREK NABRZYSKI
Keyword(s):  
Workflow Management ◽  
Resource Provisioning ◽  
Future Research ◽  
Management Tools ◽  
Related Data ◽  
Current State ◽  
Future Research Directions ◽  
Computing Platforms ◽  
And Performance ◽  
Virtual Resources

Scientists today are exploring the use of new tools and computing platforms to do their science. They are using workflow management tools to describe and manage complex applications and are evaluating the features and performance of clouds to see if they meet their computational needs. Although today, hosting is limited to providing virtual resources and simple services, one can imagine that in the future entire scientific analyses will be hosted for the user. The latter would specify the desired analysis, the timeframe of the computation, and the available budget. Hosted services would then deliver the desired results within the provided constraints. This paper describes current work on managing scientific applications on the cloud, focusing on workflow management and related data management issues. Frequently, applications are not represented by single workflows but rather as sets of related workflowsworkflow ensembles. Thus, hosted services need to be able to manage entire workflow ensembles, evaluating tradeoffs between completing as many high-value ensemble members as possible and delivering results within a certain time and budget. This paper gives an overview of existing hosted science issues, presents the current state of the art on resource provisioning that can support it, as well as outlines future research directions in this field.

Positive Workplaces

2009 ◽  
pp. 578-588
Author(s):  
Fred Luthans ◽  
Carolyn M. Youssef
Keyword(s):  
Organizational Behavior ◽  
Psychological Capital ◽  
Future Research ◽  
Positive Organizational Behavior ◽  
Performance Impact ◽  
Research Directions ◽  
Future Research Directions ◽  
And Performance ◽  
Definition Of ◽  
Psychological Capacities

Over the years, both management practitioners and academics have generally assumed that positive workplaces lead to desired outcomes. Unlike psychology, considerable attention has also been devoted to the study of positive topics such as job satisfaction and organizational commitment. However, to place a scientifically based focus on the role that positivity may play in the development and performance of human resources, and largely stimulated by the positive psychology initiative, positive organizational behavior (POB) and psychological capital (PsyCap) have recently been introduced into the management literature. This chapter first provides an overview of both the historical and contemporary positive approaches to the workplace. Then, more specific attention is given to the meaning and domain of POB and PsyCap. Our definition of POB includes positive psychological capacities or resources that can be validly measured, developed, and have performance impact. The constructs that have been determined so far to best meet these criteria are efficacy, hope, optimism, and resiliency. When combined, they have been demonstrated to form the core construct of what we term psychological capital (PsyCap). A measure of PsyCap is being validated and this chapter references the increasing number of studies indicating that PsyCap can be developed and have performance impact. The chapter concludes with important future research directions that can help better understand and build positive workplaces to meet current and looming challenges.

Life cycle assessment of carbon capture and storage/utilization: From current state to future research directions and opportunities

2021 ◽  
Vol 108 ◽  
pp. 103309
Author(s):  
Tatiane Tobias da Cruz ◽  
José A. Perrella Balestieri ◽  
João M. de Toledo Silva ◽  
Mateus R.N. Vilanova ◽  
Otávio J. Oliveira ◽  
...  
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Carbon Capture ◽  
Carbon Capture And Storage ◽  
Future Research ◽  
Research Directions ◽  
Current State ◽  
Future Research Directions ◽  
And Storage

Extending IoTs Into the Cloud-Based Platform for Examining Amazon Web Services

2018 ◽  
pp. 216-227 ◽  
Author(s):  
Jagdeep Kaur ◽  
Meghna Sharma
Keyword(s):  
Web Services ◽  
Future Research ◽  
Rule Engine ◽  
Management Tools ◽  
The Public ◽  
Main Motive ◽  
Amazon Web Services ◽  
Future Research Directions ◽  
Iot Devices ◽  
Development And Management

The public cloud Amazon Web Service (AWS) provides a wide range of services like computation, networking, analytics, development and management tools, application services, mobile services, and management of Internet-of-Things (IoT) devices. The Amazon Web Services (AWS) IoT is an excellent IoT cloud platform and is exclusively responsible for connecting devices into various fields like healthcare, biology, municipal setup, smart homes, marketing, industrial, agriculture, education, automotive, etc. This chapter highlights many other initiatives promoted by AWS IoT. The main motive of this chapter is to present how AWS IoT works. The chapter starts with the design principles of AWS IoT services. Further, the authors present a detailed description of the AWS IoT components (e.g., Device SDK, Message Broker, Rule Engine, Security and Identity Service, Thing Registry, Thing Shadow, and Thing Shadow Service). The chapter concludes with a description of various challenges faced by AWS IoT and future research directions.

scholarly journals Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development

2020 ◽  
Vol 13 (3) ◽  
pp. 795-848
Author(s):  
Alina Köchling ◽  
Marius Claus Wehner
Keyword(s):  
Systematic Review ◽  
Decision Making ◽  
Current Knowledge ◽  
Future Research ◽  
Journal Articles ◽  
Research Directions ◽  
Current State ◽  
Management Context ◽  
Future Research Directions ◽  
State Of Research

AbstractAlgorithmic decision-making is becoming increasingly common as a new source of advice in HR recruitment and HR development. While firms implement algorithmic decision-making to save costs as well as increase efficiency and objectivity, algorithmic decision-making might also lead to the unfair treatment of certain groups of people, implicit discrimination, and perceived unfairness. Current knowledge about the threats of unfairness and (implicit) discrimination by algorithmic decision-making is mostly unexplored in the human resource management context. Our goal is to clarify the current state of research related to HR recruitment and HR development, identify research gaps, and provide crucial future research directions. Based on a systematic review of 36 journal articles from 2014 to 2020, we present some applications of algorithmic decision-making and evaluate the possible pitfalls in these two essential HR functions. In doing this, we inform researchers and practitioners, offer important theoretical and practical implications, and suggest fruitful avenues for future research.

Channel design, coordination, and performance: Future research directions

2010 ◽  
Vol 21 (3) ◽  
pp. 223-237 ◽  
Author(s):  
Alberto Sa Vinhas ◽  
Sharmila Chatterjee ◽  
Shantanu Dutta ◽  
Adam Fein ◽  
Joseph Lajos ◽  
...  
Keyword(s):  
Future Research ◽  
Channel Design ◽  
Research Directions ◽  
Design Coordination ◽  
Future Research Directions ◽  
And Performance

Obesity Research in Occupational Safety and Health

2016 ◽  
Vol 60 (1) ◽  
pp. 1022-1026 ◽  
Author(s):  
Mahboobeh Ghesmaty Sangachin ◽  
Lora A. Cavuoto
Keyword(s):  
Work Performance ◽  
Occupational Safety ◽  
Occupational Injury ◽  
Occupational Safety And Health ◽  
Future Research ◽  
Current State ◽  
Safety And Health ◽  
And Performance ◽  
General Studies ◽  
Future Work

Obesity is an emerging health problem among the workforce. This review examined the published literature in the last decade presented in prominent human factors and occupational safety and health journals to map out the current state of the research and direct future work. Overall, 44 studies were identified, out of which 27% focused on general effects of obesity on work performance, disability or occupational injury and 73% studied hypotheses regarding the effect of obesity on functional capacity, balance and performance of specific tasks. While over 90% of general studies suggest some significant adverse effect, only ~47% of specific studies report such results. While obesity co- occurs with chronic conditions such as diabetes or cardio-respiratory issues, laboratory based studies which exclude subjects with comorbidities may fail to fully manifest obesity effects. With only four studies identified that investigated an interaction of obesity with other personal or job-related health risks, future research in this regard is warranted.

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