scholarly journals Simulating Resource Management across the Cloud-to-Thing Continuum

2020 ◽  
Author(s):  
Malika Bendechache ◽  
Sergej Svorobej ◽  
Patricia Takako Endo ◽  
Theo Lynn
Keyword(s):  
Cloud Computing ◽  
Resource Management ◽  
Research Area ◽  
Simulation Software ◽  
Future Research ◽  
Complex Environments ◽  
Journal Articles ◽  
Infrastructure Performance ◽  
The Internet Of Things

In recent years, there has been significant advancement in resource management mechanisms for cloud computing infrastructure performance in terms of cost, quality of service (QoS) and energy consumption. The emergence of the Internet of Things has led to the development of infrastructure that extends beyond centralised data centers from the cloud to the edge, the so-called cloud-to-thing continuum (C2T). This infrastructure is characterised by extreme heterogeneity, geographic distribution, and complexity, where the key performance indicators (KPIs) for the traditional model of cloud computing may no longer apply in the same way. Existing resource management mechanisms may not be suitable for such complex environments and therefore require thorough testing, validation and evaluation before even being considered for live system implementation. Similarly, previously discounted resource management proposals may be more relevant and worthy of revisiting. Simulation is a widely used technique in the development and evaluation of resource management mechanisms for cloud computing but is a relatively nascent research area for new C2T computing paradigms such as fog and edge computing. We present a methodical literature analysis of C2T resource management research using simulation software tools to assist researchers in identifying suitable methods, algorithms, and simulation approaches for future research. We analyse 35 research articles from a total collection of 317 journal articles published from January 2009 to March 2019. We present our descriptive and synthetic analysis from a variety of perspectives including resource management, C2T layer, and simulation.  

scholarly journals Simulating Resource Management across the Cloud-to-Thing Continuum: A Survey and Future Directions

2020 ◽  
Vol 12 (6) ◽  
pp. 95
Author(s):  
Malika Bendechache ◽  
Sergej Svorobej ◽  
Patricia Takako Endo ◽  
Theo Lynn
Keyword(s):  
Cloud Computing ◽  
Resource Management ◽  
Research Area ◽  
Simulation Software ◽  
Future Research ◽  
Complex Environments ◽  
Future Directions ◽  
Infrastructure Performance ◽  
The Internet Of Things

In recent years, there has been significant advancement in resource management mechanisms for cloud computing infrastructure performance in terms of cost, quality of service (QoS) and energy consumption. The emergence of the Internet of Things has led to the development of infrastructure that extends beyond centralised data centers from the cloud to the edge, the so-called cloud-to-thing continuum (C2T). This infrastructure is characterised by extreme heterogeneity, geographic distribution, and complexity, where the key performance indicators (KPIs) for the traditional model of cloud computing may no longer apply in the same way. Existing resource management mechanisms may not be suitable for such complex environments and therefore require thorough testing, validation and evaluation before even being considered for live system implementation. Similarly, previously discounted resource management proposals may be more relevant and worthy of revisiting. Simulation is a widely used technique in the development and evaluation of resource management mechanisms for cloud computing but is a relatively nascent research area for new C2T computing paradigms such as fog and edge computing. We present a methodical literature analysis of C2T resource management research using simulation software tools to assist researchers in identifying suitable methods, algorithms, and simulation approaches for future research. We analyse 35 research articles from a total collection of 317 journal articles published from January 2009 to March 2019. We present our descriptive and synthetic analysis from a variety of perspectives including resource management, C2T layer, and simulation.

scholarly journals Moving to the Edge-Cloud-of-Things: Recent Advances and Future Research Directions

Electronics ◽  
2018 ◽  
Vol 7 (11) ◽  
pp. 309 ◽  
Author(s):  
Hind Bangui ◽  
Said Rakrak ◽  
Said Raghay ◽  
Barbora Buhnova
Keyword(s):  
Cloud Computing ◽  
Leading Edge ◽  
Cloud Services ◽  
Future Research ◽  
Research Directions ◽  
Iot Applications ◽  
Future Research Directions ◽  
Iot Devices ◽  
The Internet Of Things

Cloud computing has significantly enhanced the growth of the Internet of Things (IoT) by ensuring and supporting the Quality of Service (QoS) of IoT applications. However, cloud services are still far from IoT devices. Notably, the transmission of IoT data experiences network issues, such as high latency. In this case, the cloud platforms cannot satisfy the IoT applications that require real-time response. Yet, the location of cloud services is one of the challenges encountered in the evolution of the IoT paradigm. Recently, edge cloud computing has been proposed to bring cloud services closer to the IoT end-users, becoming a promising paradigm whose pitfalls and challenges are not yet well understood. This paper aims at presenting the leading-edge computing concerning the movement of services from centralized cloud platforms to decentralized platforms, and examines the issues and challenges introduced by these highly distributed environments, to support engineers and researchers who might benefit from this transition.

Reciprocal Teaching: A Review of the Research

1994 ◽  
Vol 64 (4) ◽  
pp. 479-530 ◽  
Author(s):  
Barak Rosenshine ◽  
Carla Meister
Keyword(s):  
Standardized Tests ◽  
Effect Size ◽  
Cognitive Strategies ◽  
Reciprocal Teaching ◽  
Future Research ◽  
Journal Articles ◽  
Unpublished Studies ◽  
Comprehension Tests

Reciprocal teaching is an instructional procedure designed to teach students cognitive strategies that might lead to improved reading comprehension. The learning of cognitive strategies such as summarization, question generation, clarification, and prediction is supported through dialogue between teacher and students as they attempt to gain meaning from text. This article is a review of sixteen studies on reciprocal teaching, which include published studies found in journal articles and unpublished studies indexed in Dissertation Abstracts International. All the studies included in this review were quantitative in methodology. When standardized tests were used to assess comprehension, the median effect size, favoring reciprocal teaching, was .32. When experimenter-developed comprehension tests were used, the median effect size was .88. We also discuss the role of cognitive strategies in enhancing comprehension, the strategies that were most helpful, instructional approaches for teaching cognitive strategies, the quality of the dialogue during reciprocal teaching, and suggestions for future research and practice.

Examining Communication Technologies of IoT for Best QoS

2018 ◽  
pp. 264-276
Author(s):  
Jayashree K ◽  
Babu R ◽  
Chithambaramani R
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Cloud Service ◽  
Communication Technologies ◽  
Industry Sector ◽  
Cloud Service Providers ◽  
The Internet Of Things ◽  
Excessive Number ◽  
The Web

The Internet of Things (IoT) architecture has gained an increased amount of attention from academia as well as the industry sector as a significant methodology for the development of innovative applications and systems. Currently, the merging of this architecture with that of Cloud computing has been largely motivated by the need for various applications and infrastructures in IoT. In addition to this, the Cloud ascends as an eminent solution that would help solve various challenges that are faced by the IoT standard when varied physical devices. There are an excessive number of Cloud service providers the web along with many other services. Thus, it becomes critical to choose the provider who can be efficient, consistent, and suitable, and who can deliver the best Quality of Service (QoS). Thus, this chapter discusses QoS for cloud computing and IoT.

scholarly journals VNF Placement Optimization at the Edge and Cloud †

2019 ◽  
Vol 11 (3) ◽  
pp. 69 ◽  
Author(s):  
Aris Leivadeas ◽  
George Kesidis ◽  
Mohamed Ibnkahla ◽  
Ioannis Lambadaris
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Research Area ◽  
End Users ◽  
Network Function Virtualization ◽  
Future Research ◽  
Cloud Infrastructure ◽  
Network Function ◽  
Computing Paradigm ◽  
Network Functions

Network Function Virtualization (NFV) has revolutionized the way network services are offered to end users. Individual network functions are decoupled from expensive and dedicated middleboxes and are now provided as software-based virtualized entities called Virtualized Network Functions (VNFs). NFV is often complemented with the Cloud Computing paradigm to provide networking functions to enterprise customers and end-users remote from their premises. NFV along with Cloud Computing has also started to be seen in Internet of Things (IoT) platforms as a means to provide networking functions to the IoT traffic. The intermix of IoT, NFV, and Cloud technologies, however, is still in its infancy creating a rich and open future research area. To this end, in this paper, we propose a novel approach to facilitate the placement and deployment of service chained VNFs in a network cloud infrastructure that can be extended using the Mobile Edge Computing (MEC) infrastructure for accommodating mission critical and delay sensitive traffic. Our aim is to minimize the end-to-end communication delay while keeping the overall deployment cost to minimum. Results reveal that the proposed approach can significantly reduce the delay experienced, while satisfying the Service Providers’ goal of low deployment costs.

Impact of IoT challenges and risks for SCM

2019 ◽  
Vol 24 (1) ◽  
pp. 39-61 ◽  
Author(s):  
Hendrik Sebastian Birkel ◽  
Evi Hartmann
Keyword(s):  
Relevant Literature ◽  
Future Research ◽  
Journal Articles ◽  
Comprehensive Overview ◽  
Content Type ◽  
Organizational Challenges ◽  
The Subject ◽  
Environmental Network ◽  
The Internet Of Things ◽  
Practical Implications

PurposeThe purpose of this paper is to offer a comprehensive overview of challenges and risks of the Internet of Things (IoT) in supply chain management (SCM) and provide a structured framework for classifying and analyzing the relevant literature to deduce insights for research and practice.Design/methodology/approachA systematic literature review (SLR) of 102 peer-reviewed journal articles on the topic of IoT in SCM was conducted.FindingsThis review identifies, categorizes and describes the relevant literature regarding the dimensions time and specificity. The resulting framework contains a holistic overview including focus areas and relations of macro-environmental, network-related and organizational challenges and risks. Furthermore, this review represents a conceptual framework for future research, considering the multidisciplinary body of the subject and provides an analysis of the timeline of literature, journals and used methodologies.Practical implicationsThis study offers valuable insights into IoT and its impact on applications, processes and the structure of organizations and supply chains (SCs). The identification of challenges and risks helps to prepare for changes in the future because of the disruptive nature of this technology.Originality/valueThe originality of this paper lies in the synthesis of the fragmented body of literature of IoT challenges and risks for SCM. The derived framework and identification of relations and research gaps provide the foundation for further research to evaluate the relations between challenges and risks and offer solutions.

scholarly journals A Comprehensive Survey on Resource Management in Internet of Things

2020 ◽  
Vol 4 ◽  
pp. 27-43
Author(s):  
Lokesh B Bhajantri ◽  
Gangadharaiah S.
Keyword(s):  
Resource Management ◽  
Internet Of Things ◽  
Resource Discovery ◽  
Future Research ◽  
The Internet ◽  
Management Processes ◽  
Efficient Resource ◽  
Comprehensive Survey ◽  
The Individual ◽  
The Internet Of Things

Efficient resource management is a challenging task in distributed systems, such as the Internet of Things, fog, edge, and cloud computing. In this work, we present a broad overview of the Internet of Things ecosystem and of the challenges related to managing its resources. We also investigate the need for efficient resource management and the guidelines given/suggested by Standard Development Organizations. Additionally, this paper contains a comprehensive survey of the individual phases of resource management processes, focusing on resource modeling, resource discovery, resource estimation, and resource allocation approaches based on performance parameters or metrics, as well as on architecture types. This paper presents also the architecture of a generic resource management enabler. Furthermore, we present open issues concerning resource management, pointing out the directions of future research related to the Internet of Things.

Use of a Social Networking Recommendation Engine in Science and Engineering Education for Accessible Discovery, Organization and Collaboration of Research Knowledge

2010 ◽  
Author(s):  
Mohammad Azimi ◽  
Mohammad R. K. Mofrad
Keyword(s):  
Research Area ◽  
Research Topic ◽  
Primary Language ◽  
Journal Articles ◽  
Research Knowledge ◽  
Science And Engineering ◽  
Engineering Knowledge ◽  
Search Terms ◽  
The Social

The World Wide Web is the primary tool used by researchers in the field of science and engineering to share knowledge. Whether students or researchers are trying to share their own discoveries or learn from the discoveries of others, they rely on the Internet as a resource where this information is gathered. The use of the Web for the exchange of scientific knowledge has to date remained very static. Websites such as Google Scholar [1] and PubMed [2] help students and researchers by indexing published journal articles based on research topic, content and keywords but are limited in that they lack the capability to suggest and rank articles in a useful manner to those new to the field. Simply put, there is no shortage of efficient search algorithms to find specific articles but these algorithms cannot help a student or new researcher that is not familiar with the research area or the search terms that should be used. Furthermore, when the student or researcher’s primary language is not English, the task of finding appropriate articles becomes significantly more challenging. Our objective is to create a recommendation engine to assist students and researchers with the discovery and organization of scientific and engineering knowledge and to present it in a manner that allows effective discussion to take place. In addition, such a recommendation engine should be capable of providing the user with an assessment of their contribution to the social network not only based on the number and quality of articles submitted but also the discussions that the user contributed to.

Integration of Micro-Blogs into the Human Resource Management (HRM) Areas of Recruitment and Selection

2015 ◽  
pp. 226-250 ◽  
Author(s):  
Ryan J Petty ◽  
Laxmikant Manroop ◽  
Sara Linton
Keyword(s):  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Ethical Dilemmas ◽  
Future Research ◽  
Journal Articles ◽  
Social Media Platforms ◽  
Future Research Directions ◽  
The Subject ◽  
Recruitment And Selection

This chapter examines the use of micro-blogs in the human resource management (HRM) areas of recruitment and selection. While there is much attention in the popular press and practitioner literature about how HRM is incorporating micro-blogging and related social media platforms to help execute basic HRM functions, scholarly research on the subject is sparse, with only a handful of peer-reviewed journal articles/edited books. Although these works have contributed much to our understanding, we still know very little about how specific HRM practices can incorporate micro-blogs to achieve competitiveness. We also know very little about the legal and ethical dilemmas associated with using micro-blogs and how employers in general and HRM in particular can circumvent these problems. This chapter will address these issues and will conclude with future research directions that might be used as a platform for subsequent conceptual and empirical research.

Consumer cosmopolitanism in international marketing research: a systematic review and future research agenda

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anna Makrides ◽  
Olga Kvasova ◽  
Alkis Thrassou ◽  
Elias Hadjielias ◽  
Alberto Ferraris
Keyword(s):  
Systematic Review ◽  
International Marketing ◽  
Marketing Research ◽  
Research Area ◽  
Future Research ◽  
Journal Articles ◽  
Knowledge Gaps ◽  
Systematic Analysis ◽  
Content Type ◽  
Future Research Agenda

PurposeThe purpose of this study is to systematically collate and scrutinize the state of the art on consumer cosmopolitanism (CCOS) from an international marketing perspective and to provide a foundation for future research on the subject matter to proliferate and prosper.Design/methodology/approachA systematic review of the extant literature was conducted focusing on peer-reviewed journal articles published in major marketing, international business and management journals.FindingsA systematic analysis of 44 journal articles shows that CCOS research is a rapidly growing research stream in the international marketing field. However, at the same time, the results reveal a lack of coherent and consistent conceptual underpinning, conflicting empirical findings regarding the profile and behavior of cosmopolitan consumers, persisting knowledge gaps, as well as methodological and contextual weaknesses.Originality/valueThis paper is the first to consolidate the pertinent literature on CCOS. In doing so, it provides a roadmap for future research with reference to theory, context and methodology based on the research inconsistencies and knowledge gaps identified, contributing toward the development of this research area.

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