scholarly journals Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-Denied Scenarios—A Systematic Review

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 110
Author(s):  
Darwin Quezada-Gaibor ◽  
Joaquín Torres-Sospedra ◽  
Jari Nurmi ◽  
Yevgeni Koucheryavy ◽  
Joaquín Huerta
Keyword(s):  
Systematic Review ◽  
Cloud Computing ◽  
Fault Tolerance ◽  
State Of The Art ◽  
Comprehensive Analysis ◽  
Cloud Services ◽  
Location Based Services ◽  
Efficient Computation ◽  
Key Features ◽  
Essential Resource

Cloud Computing and Cloud Platforms have become an essential resource for businesses, due to their advanced capabilities, performance, and functionalities. Data redundancy, scalability, and security, are among the key features offered by cloud platforms. Location-Based Services (LBS) often exploit cloud platforms to host positioning and localisation systems. This paper introduces a systematic review of current positioning platforms for GNSS-denied scenarios. We have undertaken a comprehensive analysis of each component of the positioning and localisation systems, including techniques, protocols, standards, and cloud services used in the state-of-the-art deployments. Furthermore, this paper identifies the limitations of existing solutions, outlining shortcomings in areas that are rarely subjected to scrutiny in existing reviews of indoor positioning, such as computing paradigms, privacy, and fault tolerance. We then examine contributions in the areas of efficient computation, interoperability, positioning, and localisation. Finally, we provide a brief discussion concerning the challenges for cloud platforms based on GNSS-denied scenarios.

scholarly journals Cloud Service Selection Using Multicriteria Decision Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Md Whaiduzzaman ◽  
Abdullah Gani ◽  
Nor Badrul Anuar ◽  
Muhammad Shiraz ◽  
Mohammad Nazmul Haque ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Decision Analysis ◽  
State Of The Art ◽  
Service Selection ◽  
Cloud Service ◽  
Multicriteria Decision Analysis ◽  
Cloud Services ◽  
Extensive Literature ◽  
Multicriteria Decision ◽  
Cloud Computing Service

Cloud computing (CC) has recently been receiving tremendous attention from the IT industry and academic researchers. CC leverages its unique services to cloud customers in a pay-as-you-go, anytime, anywhere manner. Cloud services provide dynamically scalable services through the Internet on demand. Therefore, service provisioning plays a key role in CC. The cloud customer must be able to select appropriate services according to his or her needs. Several approaches have been proposed to solve the service selection problem, including multicriteria decision analysis (MCDA). MCDA enables the user to choose from among a number of available choices. In this paper, we analyze the application of MCDA to service selection in CC. We identify and synthesize several MCDA techniques and provide a comprehensive analysis of this technology for general readers. In addition, we present a taxonomy derived from a survey of the current literature. Finally, we highlight several state-of-the-art practical aspects of MCDA implementation in cloud computing service selection. The contributions of this study are four-fold: (a) focusing on the state-of-the-art MCDA techniques, (b) highlighting the comparative analysis and suitability of several MCDA methods, (c) presenting a taxonomy through extensive literature review, and (d) analyzing and summarizing the cloud computing service selections in different scenarios.

Cloud Computing

2012 ◽  
Vol 2 (3) ◽  
pp. 68-85 ◽  
Author(s):  
Nawsher Khan ◽  
Noraziah Ahmad ◽  
Tutut Herawan ◽  
Zakira Inayat
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Response Time ◽  
Cloud Service ◽  
Quality Attributes ◽  
Cloud Services ◽  
Time Consumption ◽  
Speed Up ◽  
Scheduling Technique

Efficiency (in term of time consumption) and effectiveness in resources utilization are the desired quality attributes in cloud services provision. The main purpose of which is to execute jobs optimally, i.e., with minimum average waiting, turnaround and response time by using effective scheduling technique. Replication provides improved availability and scalability; decreases bandwidth use and increases fault tolerance. To speed up access, file can be replicated so a user can access a nearby replica. This paper proposes architecture to convert Globally One Cloud to Locally Many Clouds. By combining replication and scheduling, this architecture improves efficiency and easy accessibility. In the case of failure of one sub cloud or one cloud service, clients can start using another cloud under “failover” techniques. As a result, no one cloud service will go down.

Efficient Fault Tolerance on Cloud Environments

2021 ◽  
pp. 1231-1243
Author(s):  
Sam Goundar ◽  
Akashdeep Bhardwaj
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Web Applications ◽  
Fault Tolerant ◽  
Cloud Services ◽  
Cloud Environments ◽  
Computing Environments ◽  
Service Assurance ◽  
Mission Critical ◽  
The Impact

With mission critical web applications and resources being hosted on cloud environments, and cloud services growing fast, the need for having greater level of service assurance regarding fault tolerance for availability and reliability has increased. The high priority now is ensuring a fault tolerant environment that can keep the systems up and running. To minimize the impact of downtime or accessibility failure due to systems, network devices or hardware, the expectations are that such failures need to be anticipated and handled proactively in fast, intelligent way. This article discusses the fault tolerance system for cloud computing environments, analyzes whether this is effective for Cloud environments.

scholarly journals A Comprehensive Framework to Reinforce Evidence Synthesis Features in Cloud-Based Systematic Review Tools

2021 ◽  
Vol 11 (12) ◽  
pp. 5527
Author(s):  
Tatiana Person ◽  
Iván Ruiz-Rube ◽  
José Miguel Mota ◽  
Manuel Jesús Cobo ◽  
Alexey Tselykh ◽  
...  
Keyword(s):  
Systematic Review ◽  
Review Process ◽  
State Of The Art ◽  
Evidence Synthesis ◽  
Comprehensive Analysis ◽  
Synthesis Process ◽  
Evidence Based ◽  
Computer Based ◽  
Comprehensive Framework ◽  
Systematic Review Process

Systematic reviews are powerful methods used to determine the state-of-the-art in a given field from existing studies and literature. They are critical but time-consuming in research and decision making for various disciplines. When conducting a review, a large volume of data is usually generated from relevant studies. Computer-based tools are often used to manage such data and to support the systematic review process. This paper describes a comprehensive analysis to gather the required features of a systematic review tool, in order to support the complete evidence synthesis process. We propose a framework, elaborated by consulting experts in different knowledge areas, to evaluate significant features and thus reinforce existing tool capabilities. The framework will be used to enhance the currently available functionality of CloudSERA, a cloud-based systematic review tool focused on Computer Science, to implement evidence-based systematic review processes in other disciplines.

Survey of the State-of-the-Art of Cloud Computing

2013 ◽  
pp. 252-262
Author(s):  
Sanjay P. Ahuja ◽  
Alan C. Rolli
Keyword(s):  
Cloud Computing ◽  
Grid Computing ◽  
Computational Model ◽  
State Of The Art ◽  
The State ◽  
Cloud Services ◽  
The Future ◽  
And Storage

Cloud computing as a computational model has gathered tremendous traction. It is not completely clear what this term represents though it generally is thought to include a pay-as-you model for computation and storage. This paper explains what Cloud Computing is and contrasts it with Grid computing. It describes the major cloud services offered, discusses architectural details, and gives details about the infrastructure of Cloud Computing. This paper surveys the state of cloud computing and associated research and discusses the probable directions to the future of this evolving field of computing.

Survey of the State-of-the-Art of Cloud Computing

2011 ◽  
Vol 1 (4) ◽  
pp. 34-43 ◽  
Author(s):  
Sanjay P. Ahuja ◽  
Alan C. Rolli
Keyword(s):  
Cloud Computing ◽  
Grid Computing ◽  
Computational Model ◽  
State Of The Art ◽  
The State ◽  
Cloud Services ◽  
The Future ◽  
And Storage

Cloud computing as a computational model has gathered tremendous traction. It is not completely clear what this term represents though it generally is thought to include a pay-as-you model for computation and storage. This paper explains what Cloud Computing is and contrasts it with Grid computing. It describes the major cloud services offered, discusses architectural details, and gives details about the infrastructure of Cloud Computing. This paper surveys the state of cloud computing and associated research and discusses the probable directions to the future of this evolving field of computing.

A Review on Load Balancing Model Using Best Partition Technique

2017 ◽  
Vol 7 (8) ◽  
pp. 284
Author(s):  
M. Chaitanya ◽  
K. Durga Charan
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Load Balancing ◽  
Load Balance ◽  
Large Impact ◽  
Cloud Environment ◽  
Public Cloud ◽  
The Public ◽  
Partition Technique ◽  
Textual Content

Load balancing makes cloud computing greater knowledgeable and could increase client pleasure. At reward cloud computing is among the all most systems which offer garage of expertise in very lowers charge and available all the time over the net. However, it has extra vital hassle like security, load administration and fault tolerance. Load balancing inside the cloud computing surroundings has a large impact at the presentation. The set of regulations relates the sport idea to the load balancing manner to amplify the abilties in the public cloud environment. This textual content pronounces an extended load balance mannequin for the majority cloud concentrated on the cloud segregating proposal with a swap mechanism to select specific strategies for great occasions.

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