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Osmotic Computing: A New Paradigm for Edge/Cloud Integration

Massimo Villari, Maria Fazio, Schahram Dustdar, Omer Rana, Rajiv Ranjan
2016 IEEE Cloud Computing  
detect and handle resource contentions among co-deployed microservices across Cloud and Edge datacenter resources.  ...  Machine learning techniques for developing predictive models to forecast workload input and performance metrics across multiple, colocated microservices on Cloud and Edge datacenter resources should be  ... 
doi:10.1109/mcc.2016.124 fatcat:zihsxpws7jd63ktyxbvwh2s4xe

Challenges in real-time virtualization and predictable cloud computing

Marisol García-Valls, Tommaso Cucinotta, Chenyang Lu
2014 Journal of systems architecture  
directions to enable cloud-based real-time applications in the future.  ...  This paper identifies the technical challenges in supporting real-time applications in the cloud, surveys recent advancement in real-time virtualization and cloud computing technology, and offers research  ...  Acknowledgements This research was supported, in part, by the Salvador de Madariaga Programme for International Research Stays funded by the Spanish Ministry of Education under contract PRX12/00252; by  ... 
doi:10.1016/j.sysarc.2014.07.004 fatcat:ksxq4ufrc5fuhluo4uw6rbowhi

HPC Services to Characterize Genetic Mutations through Cloud Computing Federations

Manuel-Alfonso López-Rourich, Felipe Lemus-Prieto, Javier Corral-García, José-Luis González-Sánchez
2017 Computer Science and Information Technology  
Therefore the union of supercomputing through HPC (High-Performance Computing) tools and the cloud computing paradigm (HPCC), within a Data Center federation environment offers a solution to develop and  ...  A VUS pathogenicity can be inferred thanks to evidences obtained from specific types of NGS studies.  ...  Acknowledgements This research has been partially funded by the project SOE4/P3/E804, FI4VDI-SUDOE, "Federation Infrastructure for Virtual Desktop Infrastructure" and by the European Union through the  ... 
doi:10.13189/csit.2017.050303 fatcat:pdpeg55pkbgtzewmopbtt5miru

Adaptive Resource Management and Provisioning in the Cloud Computing: A Survey of Definitions, Standards and Research Roadmaps

2017 KSII Transactions on Internet and Information Systems  
A solution is proposed for autonomic resource management in the federated clouds, using machine learning and statistical analysis in order to provide better and efficient resource management.  ...  into cloud or how to ensure security of migrated applications.  ...  The project aims to predict changes in deployed services due to the lead time needed for Virtual Machines (VM) addition/removal.  ... 
doi:10.3837/tiis.2017.09.006 fatcat:a7cyj63deveqfnchzdixn5g54e

Energy-Aware Virtual Machine Clustering for Consolidation in Multi-tenant IaaS Public Clouds

Kenga Mosoti Derdus, Vincent Oteke Omwenga, Patrick Job Ogao
2019 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
For instance, in IaaS public clouds, users select Virtual Machine (VM) sizes set beforehand by the Cloud Service Providers (CSPs) without the knowledge of the kind of workloads to be executed in the VM  ...  More often, the users overprovision the resources, which go to waste.  ...  This is because it is difficult to predict each type of resource separately for two reason -VMs have different resources, which makes it difficult to create a prediction technique and different cloud users  ... 
doi:10.32628/cseit1952309 fatcat:kni62hzborfgva3zz3mqfwn6qm

Machine Learning Methods for Reliable Resource Provisioning in Edge-Cloud Computing

Thang Le Duc, Rafael García Leiva, Paolo Casari, Per-Olov Östberg
2019 ACM Computing Surveys  
The survey is structured around a decomposition of the reliable resource provisioning problem into three categories of techniques: workload characterization and prediction, component placement and system  ...  Due to the complexity of the problem, special emphasis is placed on solutions to the characterization, management, and control of complex distributed applications using machine learning approaches.  ...  ACKNOWLEDGMENTS This work has received support from the EU Horizon 2020 programme grant no. 732667 (RECAP), and from the Spanish Ministry of Science, Innovation and Universities grant DisCoEdge (TIN2017  ... 
doi:10.1145/3341145 fatcat:vkzofhgipfhqtm2z2w5swivksy

PTEMagnet: fine-grained physical memory reservation for faster page walks in public clouds

Artemiy Margaritov, Dmitrii Ustiugov, Amna Shahab, Boris Grot
2021 Proceedings of the 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems  
In the cloud environment, it is common for applications to run under virtualization and to share a virtual machine with other applications (e.g., in a virtual private cloud setup).  ...  In response to these observations, we propose PTEMagnet, a new software-only approach for reducing address translation latency in a public cloud.  ...  This work was supported by the Google Faculty Research Award, the EPSRC Centre for Doctoral Training in Pervasive Parallelism at the University of Edinburgh, and the industrial CASE studentship from Arm  ... 
doi:10.1145/3445814.3446704 fatcat:d2g3b3rcijdzloxovecij3kegu

Cloud computing survey on services, enhancements and challenges in the era of machine learning and data science

Wajid Hassan, Te-Shun Chou, Omar Tamer, John Pickard, Patrick Appiah-Kubi, Leslie Pagliari
2020 International Journal of Informatics and Communication Technology (IJ-ICT)  
Intelligent Decision Making using Machine Learning has pushed for the Cloud Services to be even more fast, robust and accurate.  ...  Tremendous amount of work still needs to be done to explore the security challenges arising due to widespread usage of cloud deployment using Containers.  ...  Thus, the prediction of the resources required to the application like number of physical machines and virtual machines, number of requests and workload etc. is a step of great importance.  ... 
doi:10.11591/ijict.v9i2.pp117-139 fatcat:lomksiacnnbodfmxkkdwucmjbq

Resource Management in Clouds: Survey and Research Challenges

Brendan Jennings, Rolf Stadler
2014 Journal of Network and Systems Management  
These relate to: providing predictable performance for cloud-hosted applications; achieving global manageability for cloud systems; engineering scalable resource management systems; understanding economic  ...  Resource management in a cloud environment is a hard problem, due to: the scale of modern data centers; the heterogeneity of resource types and their interdependencies; the variability and unpredictability  ...  Acknowledgements We are grateful to colleagues who provided helpful comments and suggestions regarding this work, specifically: David Breitgand (IBM Research), Shane Dempsey (Arc Mediation), Lei Shi (WIT  ... 
doi:10.1007/s10922-014-9307-7 fatcat:foe3h5ywsrexnbzkfullvzjgke

Cloud Computing Features, Issues, and Challenges: A Big Picture

Deepak Puthal, B.P.S. Sahoo, Sambit Mishra, Satyabrata Swain
2015 2015 International Conference on Computational Intelligence and Networks  
This fast move towards Cloud computing has fuelled concerns on a fundamental point for the success of information systems, communication, virtualization, data availability and integrity, public auditing  ...  Therefore, cloud computing research has attracted tremendous interest in recent years. In this paper, we aim to precise the current open challenges and issues of Cloud computing.  ...  During public auditing on cloud information, the content of private information of an individual client is not disclosed to any public verifiers.  ... 
doi:10.1109/cine.2015.31 fatcat:a4ctk6l4pzavhe5yyi26kqexli

High-Performance Cloud Computing: A View of Scientific Applications

Christian Vecchiola, Suraj Pandey, Rajkumar Buyya
2009 2009 10th International Symposium on Pervasive Systems, Algorithms, and Networks  
Aneka, an enterprise Cloud computing solution, harnesses the power of compute resources by relying on private and public Clouds and delivers to users the desired QoS.  ...  Its flexible and service based infrastructure supports multiple programming paradigms that make Aneka address a variety of different scenarios: from finance applications to computational science.  ...  ACKNOWLEDGMENTS The authors would like to thank our colleagues Michael Kirley and Mani Abedini for their support and help in designing and implementing the Cloud enabled version of CoXCS, for the classification  ... 
doi:10.1109/i-span.2009.150 dblp:conf/ispan/VecchiolaPB09 fatcat:4lqxxscptvey7og3pxumtqfege

Resource Management in Fog/Edge Computing

Cheol-Ho Hong, Blesson Varghese
2019 ACM Computing Surveys  
Virtual Machines: A Virtual Machine (VM) is a set of virtualized resources used to emulate a physical computer.  ...  INDICES considers the performance interference caused by resource contention between co-located VMs during VM migration.  ...  ACKNOWLEDGMENTS The authors are grateful to the anonymous reviewers for their valuable comments and suggestions.  ... 
doi:10.1145/3326066 fatcat:4hkvzb2djfaezipbhqwoncg5wu

Cyber-Storms Come from Clouds: Security of Cloud Computing in the IoT Era [article]

Michele De Donno, Juxhino Kavaja, Nicola Dragoni, Antonio Bucchiarone, Manuel Mazzara
2019 arXiv   pre-print
This tsunami of connectivity and data collection relies more and more on the Cloud, where data analytics and intelligence actually reside.  ...  As a result, we claim that it is not enough to secure IoT devices, as cyber-storms come from Clouds.  ...  The possibility to verify co-residence, might also be exploited to provoke changes in resource utilization of co-resident VMs in such a way to make them use less resources (and hence impacting on their  ... 
arXiv:1902.10071v1 fatcat:25menfl3jzf2pg2pmn5apyca6e

Resource Management in Fog/Edge Computing: A Survey [article]

Cheol-Ho Hong, Blesson Varghese
2018 arXiv   pre-print
Fog/edge resources are typically resource-constrained, heterogeneous, and dynamic compared to the cloud, thereby making resource management an important challenge that needs to be addressed.  ...  Contrary to using distant and centralized cloud data center resources, employing decentralized resources at the edge of a network for processing data closer to user devices, such as smartphones and tablets  ...  Virtual Machines: A Virtual Machine (VM) is a set of virtualized resources used to emulate a physical computer.  ... 
arXiv:1810.00305v1 fatcat:erskczbjtjh5jigiu2dy4jgmdu

A Black-Box Approach for Detecting Systems Anomalies in Virtualized Environments

Olumuyiwa Ibidunmoye, Ewnetu Bayuh Lakew, Erik Elmroth
2017 2017 International Conference on Cloud and Autonomic Computing (ICCAC)  
Virtualization technologies allows cloud providers to optimize server utilization and cost by co-locating services in as few servers as possible.  ...  The proposed framework is evaluated using resource traces of over 100 virtual machines obtained from a production cluster as well as traces obtained from an experimental testbed under realistic service  ...  The side-effect of this is the unhealthy contention for limited systems resources (e.g. compute, bandwidth or memory) among co-located applications due to resource overbooking thereby resulting in costly  ... 
doi:10.1109/iccac.2017.10 dblp:conf/iccac/IbidunmoyeLE17 fatcat:mzyffzxlofhorp2smhlkatuej4
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