A Systematic Mapping Study on the Customization Solutions of Software as a Service Applications

Ali, Abdulrazzaq Qasem; Sultan, Abu Bakar; Ghani, Abdul; Zulzalil, Hazura

doi:10.1109/access.2019.2925499

“…Software as a service (SaaS) [27], where the software and its related data are centrally hosted in the cloud computing environment such that the software could be provided to numerous consumers.…”

Section: Measured Servicementioning

confidence: 99%

FoodSQRBlock: Digitizing food production & supply chain with blockchain & QR code in the cloud

Dey¹,

Saha²,

Singh³

et al. 2021

Preprint

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<div><div><div><p>Food safety is an important issue in today’s world. Traditional agri-food production system doesn’t offer easy traceability of the produce at any point of the supply chain, and hence, during a food-borne outbreak, it is very difficult to sift through food production data to track produce and origin of the outbreak. In recent years, blockchain based food production system has resolved this challenge, however, none of the proposed methodologies makes the food production data easily accessible, traceable and verifiable by consumers or producers using mobile/edge devices. In this paper, we propose FoodSQRBlock (Food Safety Quick Response Block), a blockchain technology based framework, which digitizes the food production information, and makes it easily accessible, traceable and verifiable by the consumers and producers by using QR codes. We also propose a large scale integration of FoodSQRBlock in the cloud to show the feasibility and scalability of the framework, and experimental evaluation to prove that.</p></div></div></div>

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“…For search string construction, the following steps were followed [15]: (1) Selecting the keywords from the RQs. (2) Discovering the synonyms and alternate spelling systems to extend the keywords.…”

Section: Search Strategymentioning

confidence: 99%

A Survey on QoS Requirements Based on Particle Swarm Optimization Scheduling Techniques for Workflow Scheduling in Cloud Computing

Farid

¹

,

Latip

²

,

Hussin

³

et al. 2020

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Cloud computing is an innovative technology that deploys networks of servers, located in wide remote areas, for performing operations on a large amount of data. In cloud computing, a workflow model is used to represent different scientific and web applications. One of the main issues in this context is scheduling large workflows of tasks with scientific standards on the heterogeneous cloud environment. Other issues are particular to public cloud computing. These include the need for the user to be satisfied with the quality of service (QoS) parameters, such as scalability and reliability, as well as maximize the end-users resource utilization rate. This paper surveys scheduling algorithms based on particle swarm optimization (PSO). This is aimed at assisting users to decide on the most suitable QoS consideration for large workflows in infrastructure as a service (IaaS) cloud applications and mapping tasks to resources. Besides, the scheduling schemes are categorized according to the variant of the PSO algorithm implemented. Their objectives, characteristics, limitations and testing tools have also been highlighted. Finally, further directions for future research are identified.

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“…Cloud services can be provided to consumers in a variety of ways, and one such service is Software as a service (SaaS) [24], where the software and its related data are centrally hosted in the cloud computing environment such that the software could be provided to numerous consumers.…”

Section: Cloud Computingmentioning

confidence: 99%

FoodSQRBlock: Digitizing food production & supply chain with blockchain & QR code in the cloud

Dey¹,

Saha²,

Singh³

et al. 2020

Preprint

View full text Add to dashboard Cite

<div><div><div><p>Food safety is an important issue in today’s world. Traditional agri-food production system doesn’t offer easy traceability of the produce at any point of the supply chain, and hence, during a food-borne outbreak, it is very difficult to sift through food production data to track produce and origin of the outbreak. In recent years, blockchain based food production system has resolved this challenge, however, none of the proposed methodologies makes the food production data easily accessible, traceable and verifiable by consumers or producers using mobile/edge devices. In this paper, we propose FoodSQRBlock (Food Safety Quick Response Block), a blockchain technology based framework, which digitizes the food production information, and makes it easily accessible, traceable and verifiable by the consumers and producers by using QR codes. We also propose a large scale integration of FoodSQRBlock in the cloud to show the feasibility and scalability of the framework, and experimental evaluation to prove that.</p></div></div></div>

show abstract

A Systematic Mapping Study on the Customization Solutions of Software as a Service Applications

Cited by 23 publications

References 123 publications

FoodSQRBlock: Digitizing food production & supply chain with blockchain & QR code in the cloud

FoodSQRBlock: Digitizing food production & supply chain with blockchain & QR code in the cloud

A Survey on QoS Requirements Based on Particle Swarm Optimization Scheduling Techniques for Workflow Scheduling in Cloud Computing

FoodSQRBlock: Digitizing food production & supply chain with blockchain & QR code in the cloud

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