Journal of Cloud Computing: Advances, Systems and Applications is a peer-reviewed open access journal that focuses on all aspects of Cloud Computing. ...
Home page
The Journal of Cloud Computing: Advances, Systems and Applications (JoCCASA) will publish research articles on all aspects of Cloud Computing. Principally, articles will address topics that are core to Cloud Computing, focusing on the Cloud applications, the Cloud systems, and the advances that will lead to the Clouds of the future.
Big data analytics in Cloud computing: an overview
The aim of this paper is to provide an overview of how analytics of Big Data in Cloud Computing can be done. For this we use Google’s platform BigQuery which is a serverless data warehouse with built-in machine learning capabilities.
Load balancing in cloud computing
This paper presents a detailed encyclopedic review about the load balancing techniques. The advantages and limitations of existing methods are highlighted with crucial challenges being addressed so as to develop efficient load balancing algorithms in future. The paper also suggests new insights towards load balancing in cloud computing.
Survey on serverless computing
In this systematic survey, 275 research papers that examined serverless computing from well-known literature databases were extensively reviewed to extract useful data. Then, the obtained data were analyzed to answer several research questions regarding state-of-the-art contributions of serverless computing, its concepts, its platforms, its ...
Welcome to the new Journal of Cloud Computing by Springer
Since 2012, the Journal of Cloud Computing has been promoting research and technology development related to Cloud Computing, as an elastic framework for provisioning complex infrastructure services on-demand, including service models such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
A systematic review on effective energy utilization management ...
There is a need to investigate efficient energy-saving approaches to reduce the massive energy usage in cloud servers. This review paper focuses on identifying the research done in the field of energy consumption (EC) using different techniques of machine learning, heuristics, metaheuristics, and statistical methods.
High availability in clouds: systematic review and research …
This systematic review has as its main goal to present and discuss high available (HA) solutions for Cloud Computing, and to introduce some research challenges in this area. We hope this work can be used as a starting point to understanding and …
Understanding the challenges and novel architectural models of …
Each of the four themes identified, namely, 1) characterization of multi-cloud and multi-cloud native applications, 2) multi-cloud by design, 3) Development and operation approaches for multi-cloud and 4) secure multi-cloud native applications present opportunities for future research.
Serverless computing: a security perspective
In particular, in this paper, we first review and categorize state of the art serverless solutions; later, we analyze pros and cons of the introduced architectural categories; further, we assess, from a security perspective, the fundamental …
COMMENTS
Journal of Cloud Computing: Advances, Systems and Applications is a peer-reviewed open access journal that focuses on all aspects of Cloud Computing. ...
The Journal of Cloud Computing: Advances, Systems and Applications (JoCCASA) will publish research articles on all aspects of Cloud Computing. Principally, articles will address topics that are core to Cloud Computing, focusing on the Cloud applications, the Cloud systems, and the advances that will lead to the Clouds of the future.
The aim of this paper is to provide an overview of how analytics of Big Data in Cloud Computing can be done. For this we use Google’s platform BigQuery which is a serverless data warehouse with built-in machine learning capabilities.
This paper presents a detailed encyclopedic review about the load balancing techniques. The advantages and limitations of existing methods are highlighted with crucial challenges being addressed so as to develop efficient load balancing algorithms in future. The paper also suggests new insights towards load balancing in cloud computing.
In this systematic survey, 275 research papers that examined serverless computing from well-known literature databases were extensively reviewed to extract useful data. Then, the obtained data were analyzed to answer several research questions regarding state-of-the-art contributions of serverless computing, its concepts, its platforms, its ...
Since 2012, the Journal of Cloud Computing has been promoting research and technology development related to Cloud Computing, as an elastic framework for provisioning complex infrastructure services on-demand, including service models such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
There is a need to investigate efficient energy-saving approaches to reduce the massive energy usage in cloud servers. This review paper focuses on identifying the research done in the field of energy consumption (EC) using different techniques of machine learning, heuristics, metaheuristics, and statistical methods.
This systematic review has as its main goal to present and discuss high available (HA) solutions for Cloud Computing, and to introduce some research challenges in this area. We hope this work can be used as a starting point to understanding and …
Each of the four themes identified, namely, 1) characterization of multi-cloud and multi-cloud native applications, 2) multi-cloud by design, 3) Development and operation approaches for multi-cloud and 4) secure multi-cloud native applications present opportunities for future research.
In particular, in this paper, we first review and categorize state of the art serverless solutions; later, we analyze pros and cons of the introduced architectural categories; further, we assess, from a security perspective, the fundamental …