Filters








4,661 Hits in 7.0 sec

A Systematic Mapping Study of MMOG Backend Architectures

Paspallis, Kasenides
2019 Information  
This paperpresents a systematic mapping study of the state-of-the-art in software technology aiming explicitlyto support the development of MMOGs, a class of large-scale, resource-intensive software systems.By  ...  Then, we categorize the selected studies based on theinferred criteria in order to compare their approach, unveil the challenges faced in each of them andreveal research trends that might be present.  ...  This paper presents a systematic mapping study of the state-of-the-art in MMOG development and deployment.  ... 
doi:10.3390/info10090264 fatcat:zyhbjowqqbbgdbrphyhdentkvm

Testing MapReduce programs: A systematic mapping study

Jesús Morán, Claudio Riva, Javier Tuya
2018 Journal of Software: Evolution and Process  
The contribution of this paper is an evaluation and characterization about the state-of-the-art of software testing in the MapReduce applications through a systematic mapping study 21, 22, 23 .  ...  MapReduce is a processing model used in Big Data to facilitate the analysis of large data under a distributed architecture with scale and fault tolerance mechanisms.  ...  There are several clusters deployed in the cloud to obtain several advantages in terms of elasticity and cost.  ... 
doi:10.1002/smr.2120 fatcat:hwvsfuomzze6fb7yb3nfate5gi

Software architectures for robotic systems: A systematic mapping study

Aakash Ahmad, Muhammad Ali Babar
2016 Journal of Systems and Software  
We carried out a Systematic Mapping Study to identify and analyze the relevant literature based on 56 peer-reviewed papers.  ...  We extract and synthesize the data from selected papers to taxonomically classify the existing research and systematically map the solutions, frameworks, notations and evaluation methods to highlight the  ...  of the review protocol.  ... 
doi:10.1016/j.jss.2016.08.039 fatcat:y56vk7pzfvgf3kykwwxiwxdvvu

Aspects of Quality in Internet of Things (IoT) Solutions: A Systematic Mapping Study [article]

Bestoun S. Ahmed, Miroslav Bures, Karel Frajtak, Tomas Cerny
2019 arXiv   pre-print
This paper shows the results of the first comprehensive and systematic mapping study to structure and categories the research evidence in the literature starting in 2009 when the early publication of IoT  ...  The conducted research is based on the most recent guidelines on how to perform systematic mapping studies. A set of research questions is defined carefully regarding the quality aspects of the IoT.  ...  The IoT platform is a computational cloud middleware engine that manages the large number of data streams that coming from different sensors.  ... 
arXiv:1901.10579v1 fatcat:km5f6h6ntbcbzjajtripsnp4fm

Aspects of Quality in Internet of Things (IoT) Solutions: A Systematic Mapping Study

Bestoun S. Ahmed, Miroslav Bures, Karel Frajtak, Tomas Cerny
2019 IEEE Access  
This paper shows the results of the first comprehensive and systematic mapping study to structure and categories the research evidence in the literature starting in 2009 when the early publication of IoT  ...  The conducted research is based on the most recent guidelines on how to perform systematic mapping studies. A set of research questions is defined carefully regarding the quality aspects of the IoT.  ...  The IoT platform is a computational cloud middleware engine that manages the large number of data streams that coming from different sensors.  ... 
doi:10.1109/access.2019.2893493 fatcat:2r6mwfc2nzahzfytidbgz7yuji

On Microservice Analysis and Architecture Evolution: A Systematic Mapping Study

Vincent Bushong, Amr S. Abdelfattah, Abdullah A. Maruf, Dipta Das, Austin Lehman, Eric Jaroszewski, Michael Coffey, Tomas Cerny, Karel Frajtak, Pavel Tisnovsky, Miroslav Bures
2021 Applied Sciences  
It provides a guide towards choices when aiming for analyzing cloud-native systems.  ...  The results indicate five analytical approaches commonly used in the literature, possibly in combination, towards problems classified into seven categories.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app11177856 fatcat:udjjimuv2nfo5ke2xpyffwsj4a

Big Data Processing in Cloud Computing Environments

Changqing Ji, Yu Li, Wenming Qiu, Uchechukwu Awada, Keqiu Li
2012 2012 12th International Symposium on Pervasive Systems, Algorithms and Networks  
Finally, we discuss the open issues and challenges, and deeply explore the research directions in the future on big data processing in cloud computing environments.  ...  First, from the view of cloud data management and big data processing mechanisms, we present the key issues of big data processing, including cloud computing platform, cloud architecture, cloud database  ...  CONCLUSION This paper described a systematic flow of survey on the big data processing in the context of cloud computing.  ... 
doi:10.1109/i-span.2012.9 fatcat:5nk7w7xdlzbe7dlxb2mqq7fne4

Large-Scale Data Processing Using MapReduce in Cloud Computing Environment

Samira Daneshyar
2012 International Journal on Web Service Computing  
This paper provides a comprehensive systematic review and analysis of large-scale dataset processing and dataset handling challenges and requirements in a cloud computing environment by using the MapReduce  ...  At the end of the paper, we presented an experimentation of running MapReduce system in a cloud environment.  ...  Speed of processing The speed of processing depends on the how big is the scale of the Amazon EC2 cluster in a cloud environment?  ... 
doi:10.5121/ijwsc.2012.3401 fatcat:zokysmscvffkriepfarl3l6cgi

QoS-Based Elasticity for Service Chains in Distributed Edge Cloud Environments [chapter]

Valeria Cardellini, Tihana Galinac Grbac, Matteo Nardelli, Nikola Tanković, Hong-Linh Truong
2018 Lecture Notes in Computer Science  
In such a complex environment, controlling elasticity in a centralized manner might strongly penalize scalability.  ...  In this chapter, we focus on elasticity in IoT and Cloud-based systems, which can be geo-distributed also at the edge of the networks, and discuss its engineering perspectives along with various coordination  ...  its application to elastic data stream processing), especially when the system is composed by a multitude of processing entities scattered in a large-scale geo-distributed environment.  ... 
doi:10.1007/978-3-319-90415-3_8 fatcat:kanw7xuihnhfhjrte45s7aoqaq

Extending reference architecture of big data systems towards machine learning in edge computing environments

P. Pääkkönen, D. Pakkala
2020 Journal of Big Data  
Findings: The contribution of this paper is reference architecture (RA) design of a big data system utilising ML techniques in edge computing environments.  ...  For realisation of the use cases, it has to be understood how data is collected, stored, processed, analysed, and visualised in big data systems.  ...  Acknowledgements The authors acknowledge researchers, who have created and published the source material utilised in this study.  ... 
doi:10.1186/s40537-020-00303-y fatcat:6se2bbyprnfejezrzubyq4mv4e

An experiment-driven performance model of stream processing operators in fog computing environments

HamidReza Arkian, Guillaume Pierre, Johan Tordsson, Erik Elmroth
2020 Proceedings of the 35th Annual ACM Symposium on Applied Computing  
Using this model, we systematically investigate how different topological changes affect the performance of DSP applications running in a geo-distributed environment.  ...  close to the sources of data.  ...  The information and views set out in this publication are those of the author(s) and do not necessarily reflect the official opinion of the European Union.  ... 
doi:10.1145/3341105.3375758 dblp:conf/sac/ArkianPTE20 fatcat:ytbim7zefbg5blhdyvjqssuqoq

Auspice: Automatic Service Planning in Cloud/Grid Environments [chapter]

David Chiu, Gagan Agrawal
2011 Grids, Clouds and Virtualization  
Scientific advancements have ushered in staggering amounts of available data and processes which are now scattered across various locations in the Web, Grid, and more recently, the Cloud.  ...  Our system, Auspice: AUtomatic Service Planning In Cloud/Grid Environments, consists of the following key contributions. Initially, a two-level metadata management framework is introduced.  ...  This movement has been timely, as multi-core clusters, Data Grids, and Cloud-based infrastructures emerge. One class of scientific data processing involves real-time data streams.  ... 
doi:10.1007/978-0-85729-049-6_5 fatcat:prikikmcpfdx3ps7554efsh4ti

An Analytics Environment Architecture for Industrial Cyber-Physical Systems Big Data Solutions

Eduardo A. Hinojosa-Palafox, Oscar M. Rodríguez-Elías, José A. Hoyo-Montaño, Jesús H. Pacheco-Ramírez, José M. Nieto-Jalil
2021 Sensors  
analytics, through the proposal of an architecture that will support the integration from IIoT environment, communications, and the cloud in the iCPS.  ...  The before-mentioned architecture supports the Industrial Internet of Things (IIoT) environment, communications, and the cloud in the iCPS context.  ...  Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21134282 pmid:34201541 fatcat:vmoo3gfvd5ay5mlysrz6kdfwwa

Security issues in cloud environments: a survey

Diogo A. B. Fernandes, Liliana F. B. Soares, João V. Gomes, Mário M. Freire, Pedro R. M. Inácio
2013 International Journal of Information Security  
In the last few years, the appealing features of cloud computing have been fueling the integration of cloud environments in the industry, which has been consequently motivating the research on related  ...  It also contains a thorough review of the main concepts concerning the security state of cloud environments and discusses several open research topics.  ...  Acknowledgements We would like to thank all the anonymous reviewers for constructively criticizing this work.  ... 
doi:10.1007/s10207-013-0208-7 fatcat:55o67epb6zfspchxuzvuduzr4a

HyEdge: Optimal Request Scheduling in Hybrid Edge Computing Environment [article]

Siyuan Gu, Deke Guo, Guoming Tang, Lailong Luo, Yuchen Sun, Xueshan Luo
2019 arXiv   pre-print
In this paper, we propose the framework of hybrid edge computing to offer both public and private edge services systematically.  ...  To fully exploit the benefits of this novel framework, we define the problem of optimal request scheduling over a given placement solution of hybrid edge servers, so as to minimize the response delay.  ...  Cloud computing leverages the vast resources available in the data centers to deliver elastic computing power and storage.  ... 
arXiv:1909.06499v1 fatcat:ecuagfpawvcnza2zkxgrldmtlq
« Previous Showing results 1 — 15 out of 4,661 results