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Elascale: Autoscaling and Monitoring as a Service [article]

Hamzeh Khazaei, Rajsimman Ravichandiran, Byungchul Park, Hadi Bannazadeh, Ali Tizghadam, Alberto Leon-Garcia
2017 arXiv   pre-print
Due to zero dependency to the target software system, Elascale can be leveraged to provide auto-scalability and monitoring as-a-service for any type of cloud software system.  ...  Auto-scalability has become an evident feature for cloud software systems including but not limited to big data and IoT applications.  ...  Such shortcomings motivated us to design and implement a general-purpose, cloud and application agnostic monitoring and auto-scaling solution for nowadays cloud software systems, which embodies both micro  ... 
arXiv:1711.03204v1 fatcat:zzz4peoxbzeifpycvm3i53kcfu

Increasing interoperability for research clouds: CS3APIs for connecting sync&share storage, applications and science environments

Hugo González Labrador, Jakub T. Mościcki, Massimo Lamanna, Alberto Pace, C. Doglioni, D. Kim, G.A. Stewart, L. Silvestris, P. Jackson, W. Kamleh
2020 EPJ Web of Conferences  
Cloud Services for Synchronization and Sharing (CS3) [14] have become increasing popular in the European Education and Research landscape in the last years.  ...  Services such as CERNBox, SWITCHdrive, SURFdrive, PSNCBox, Sciebo, CloudStor and many more have become indispensable in everyday work for scientists, engineers, educators and other users in public research  ...  The architectural choice of microservices allows the deployment of these services in cloud native platforms such as Kubernetes with minimal friction, bringing the benefits of dynamic scaling, continuous  ... 
doi:10.1051/epjconf/202024507041 fatcat:wmfylzgbe5fx3awjenny4bjsfy

Brown Dog: Leveraging everything towards autocuration

Smruti Padhy, Greg Jansen, Jay Alameda, Edgar Black, Liana Diesendruck, Mike Dietze, Praveen Kumar, Rob Kooper, Jong Lee, Rui Liu, Richard Marciano, Luigi Marini (+8 others)
2015 2015 IEEE International Conference on Big Data (Big Data)  
Data collections such as these encompassing large varieties of data, in addition to large amounts of data, pose a significant challenge within modern day "Big Data" efforts.  ...  We describe both the motivation and need/scientific drivers for such services, the constituent components that allow for arbitrary software/code to be used and managed, and lastly an evaluation of the  ...  We considered a number of cloud computing software platforms, both open source such as OpenStack, Cloud Stack, and Eucalyptus; and commercial such as Amazon Web Services (AWS), Microsoft Azure, and VMWare  ... 
doi:10.1109/bigdata.2015.7363791 dblp:conf/bigdataconf/PadhyJABDDKKLLM15 fatcat:7aecs5bygrhl5o2ow7fmhq76iu

Increasing interoperability for research clouds: CS3APIs for connecting sync&share storage, applications and science environments

Hugo Gonzalez Labrador, Jakub T. Mościcki, Massimo Lamanna, Alberto Pace
2020 Zenodo  
Cloud Services for Synchronization and Sharing (CS3) [14] have become increasing popular in the European Education and Research landscape in the last years.  ...  Services such as CERNBox, SWITCHdrive, SURFdrive, PSNCBox, Sciebo, CloudStor and many more have become indispensable in everyday work for scientists, engineers, educators and other users in public research  ...  However, the applications created for these platforms are locked-in to a specific vendor, therefore, re-using one application from one cloud to another is not possible.  ... 
doi:10.5281/zenodo.6025381 fatcat:4mr3we6xrnggdc2kvhqvq7iq4u

PaaS manager: A platform-as-a-service aggregation framework

David Cunha, Pedro Neves, Pedro Sousa
2014 Computer Science and Information Systems  
As consequence, nowadays, PaaS (Platform-as-a-Service) service model allows simpler and flexible deployment strategies of applications, avoiding the need for dedicated networks, servers, storage, and other  ...  As result of this framework, end-users are able to select the most appropriate PaaS platform for an application, interacting with any supported vendor through a unique deployment and management interface  ...  This work has been supported by FCT -Fundação para a Ciência e Tecnologia within the Project Scope: PEst-OE/EEI/UI0319/2014.  ... 
doi:10.2298/csis130828028c fatcat:3qrnokwxgfgs7icqfwq3kzlwwa

A Brief History of Cloud Application Architectures

Nane Kratzke
2018 Applied Sciences  
As a side effect, we learned a lot about commonalities and differences from plenty of different cloud applications which might be of value for cloud software engineers and architects.  ...  First, cloud computing and its related application architecture evolution can be seen as a steady process to optimize resource utilization in cloud computing.  ...  Applied Sciences, Germany), Bob Duncan (University of Aberdeen, UK), Magnus Westerlund (Arcada University of Applied Sciences, Helsinki, Finland), and Josef Adersberger (QAWare GmbH, Munich, Germany) for  ... 
doi:10.3390/app8081368 fatcat:va33xyji2rgvdfd2tnpdg62odm

Towards a Taxonomy of Microservices Architectures [chapter]

Martin Garriga
2018 Lecture Notes in Computer Science  
The microservices architectural style is gaining more and more momentum for the development of applications as suites of small, autonomous, and conversational services, which are then easy to understand  ...  However, the proliferation of approaches leveraging microservices calls for a systematic way of analyzing and assessing them as a completely new ecosystem: the first cloud-native architectural style.  ...  [7] Cloud-native applications definition, self-managing monitoring and scaling. 05 Ciuffoletti [15] Monitoring-as-a-service for microservices. 06 Florio et al.  ... 
doi:10.1007/978-3-319-74781-1_15 fatcat:6322gchmyrhlfb5uo2mbyd2frq

Cloud resource orchestration in the multi-cloud landscape: a systematic review of existing frameworks

Orazio Tomarchio, Domenico Calcaterra, Giuseppe Di Modica
2020 Journal of Cloud Computing: Advances, Systems and Applications  
The objective of this paper is to provide the reader with a systematic review and comparison of the most relevant CROFs found in the literature, as well as to highlight the multi-cloud computing open issues  ...  The number of both service providers operating in the cloud market and customers consuming cloud-based services is constantly increasing, proving that the cloud computing paradigm has successfully delivered  ...  Acknowledgements Not applicable.  ... 
doi:10.1186/s13677-020-00194-7 fatcat:aqqecfaw5nd6batdxjsm4ofl34

Microservices: Architecture and Technologies

Vishva Desai
2020 International Journal for Research in Applied Science and Engineering Technology  
This architecture handles complex tasks as a collection of smaller services as opposed to the conventional monolithic architecture.  ...  In recent years, microservices architecture has emerged to become largely popular in DevOps practices and cloud services.  ...  Technologies 1) Docker and Kubernetes: Docker is a software platform used for building, testing and deploying software as containers.  ... 
doi:10.22214/ijraset.2020.31979 fatcat:ahvmpplm4ffrhbymcwm2r6fz44

Persistence and Big Data Analytics Architectures for Smart Connected Vehicles [article]

Sebastian Scholze, Fulya Feryal Horozal, Marie-Saphira Flug, Ana Teresa Correia
2019 arXiv   pre-print
The need for levels of availability beyond those supported by relational databases and the challenges involved in scaling such databases horizontally led to the emergence of a new generation of purpose-specific  ...  Up until recently, relational databases were considered as the de-facto technology for persisting and managing large volumes of data.  ...  on a cloud platform.  ... 
arXiv:1910.05341v1 fatcat:n5xfuim3sbejhclusbdlnsvysm

Tiarrah Computing: The Next Generation of Computing

Yanish Pradhananga, Pothuraju Rajarajeswari
2018 International Journal of Electrical and Computer Engineering (IJECE)  
This paper gives you overview of the technologies and design your application as well as elaborate how to overcome most of existing challenge.</span>  ...  <span>The evolution of Internet of Things (IoT) brought about several challenges for the existing Hardware, Network and Application development.  ...  Cloud Computing Cloud computing is a platform where it have exposed multiple services like Platform as a service(PaaS), Infrastructure as a service(IaaS), Software as a service(SaaS) etc.  ... 
doi:10.11591/ijece.v8i2.pp1247-1255 fatcat:zatbawb5bzhszmrmscaogjbjua

Tiarrah Computing: The Next Generation of Computing

Yanish Pradhananga, Pothuraju Rajarajeswari
2017 International Journal of Informatics and Communication Technology (IJ-ICT)  
This paper gives you overview of the technologies and design your application as well as elaborate how to overcome most of existing challenge.  ...  The evolution of Internet of Things (IoT) brought about several challenges for the existing Hardware, Network and Application development.  ...  Cloud Computing Cloud computing is a platform where it have exposed multiple services like Platform as a service(PaaS), Infrastructure as a service (IaaS), Software as a service (SaaS) etc.  ... 
doi:10.11591/ijict.v6i2.pp129-138 fatcat:ek57nl7olvd4vguzhzeuttz2o4

Towards Bio-inspired Auto-Scaling Algorithms: An Elasticity Approach for Container Orchestration Platforms

Jose Herrera, German Molto
2020 IEEE Access  
These applications are managed by means of container orchestration platforms and existing centralised approaches for auto-scaling face challenges when used for the timely adaptation of the elasticity required  ...  This paper studies the impact of integrating bio-inspired approaches for dynamic distributed auto-scaling on container orchestration platforms.  ...  Well-known examples of auto-scaling services are ECS Service Auto Scaling [12] , autoscaling groups of instances for Google Cloud [13] or Microsoft Azure Autoscale [14] .  ... 
doi:10.1109/access.2020.2980852 fatcat:csvjv2nvlzhn7h7zkkfw63obga

Big Data System Development: An Embedded Case Study with a Global Outsourcing Firm

Hong-Mei Chen, Rick Kazman, Serge Haziyev, Olha Hrytsay
2015 2015 IEEE/ACM 1st International Workshop on Big Data Software Engineering  
real-time analytics • Data Variety: data science over data in different formats from multiple data sources • Elasticity: private cloud, Hadoop as a service with auto- scale capabilities Embedded  ...  data loss prevention (introduced Apache Kafka as a solution) • System performance for data discovery (introduced Redshift considering Spark) • Constraints -public cloud, multi-tenant 5 Cloud-based  ...  BDD framework describes a new process of big data system development, which is dramatically different from "small" data system development, reflecting the paradigm shifts required for big data system development  ... 
doi:10.1109/bigdse.2015.15 dblp:conf/icse/ChenKHH15 fatcat:aw7b4jda7rd2zbazbtkxvqiphe

TORCH: a TOSCA-Based Orchestrator of Multi-Cloud Containerised Applications

Orazio Tomarchio, Domenico Calcaterra, Giuseppe Di Modica, Pietro Mazzaglia
2021 Journal of Grid Computing  
such as AI, Big Data and Micro-services.  ...  applications on top of the most representative cloud platforms.  ...  Funding Open Access funding provided by Universit degli Studi di Catania Data Availability Data sharing not applicable to this article as no datasets were generated or analysed during the current study  ... 
doi:10.1007/s10723-021-09549-z fatcat:sa6jtoggnzdw7ny5i45evxtp4q
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