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A Cloud Gaming Framework for Dynamic Graphical Rendering Towards Achieving Distributed Game Engines

James Bulman, Peter Garraghan
2020 USENIX Workshop on Hot Topics in Cloud Computing  
We present a cloud gaming framework that creates a distributed game engine via loose-coupling the graphical renderer from the game engine, allowing for its execution across cloud VMs and client devices  ...  However this assumption is difficult to guarantee due to QoS degradation within, and outside of, the cloud -from system failure, network connectivity, to consumer datacaps -all of which may result in game  ...  Acknowledgements We would like to thank anonymous HotCloud reviewers and our shepherd Ymir Vigfusson for their constructive comments and valuable feedback to improve our paper.  ... 
dblp:conf/hotcloud/BulmanG20 fatcat:7sot4ekf3faxtlkwljm5q6vfjq

Optimizing resources to mitigate stragglers through virtualization in run time

Ajay Kumar Bansal, Lovely Professional University, Jalandhar, 144411, Punjab, India., Manmohan Sharma, Ashu Gupta, Lovely Professional University, Jalandhar, 144411, Punjab, India., Lovely Professional University, Jalandhar, 144411, Punjab, India.
2021 Journal of University of Shanghai for Science and Technology  
Speculative execution is the state-of-the-art method to straggler mitigation.  ...  The failure rate of speculative execution might be as high as 71 percent, according to different data center production trace logs.  ...  to loose coupling.  ... 
doi:10.51201/jusst/21/08486 fatcat:4ubrzw5flbgh7dimn37cafj36u

Edge offloading for microservice architectures

Josip Zilic, Vincenzo De Maio, Atakan Aral, Ivona Brandic
2022 Proceedings of the 5th International Workshop on Edge Systems, Analytics and Networking  
Edge offloading is widely used to support the execution of near real-time mobile applications.  ...  However, offloading on edge infrastructures can suffer from failures due to the absence of supporting systems and environmental factors.  ...  ACKNOWLEDGEMENTS This work is partially funded by Rucon project (Runtime Control in Multi Clouds), FWF Y 904 START-Programm 2015.  ... 
doi:10.1145/3517206.3526266 fatcat:pwa6zollazdktbgkgdnssushme

HiveMind: A Scalable and Serverless Coordination Control Platform for UAV Swarms [article]

Justin Hu, Ariana Bruno, Brian Ritchken, Brendon Jackson, Mateo Espinosa, Aditya Shah, Christina Delimitrou
2020 arXiv   pre-print
allowing edge devices to leverage the cluster to collectively improve their output quality.  ...  We show that HiveMind achieves better performance and battery efficiency compared to fully centralized and fully decentralized platforms, while also handling load imbalances and failures gracefully, and  ...  Fault Tolerance at the Edge F. Dynamic Load Rebalancing Failure is not the only reason why load may need to be repartitioned among edge devices.  ... 
arXiv:2002.01419v1 fatcat:wn6yawh4ezdbjcjlzm7n5zuluu

When Agile Security Meets 5G

Glaucio H.S. Carvalho, Isaac Woungang, Alagan Anpalagan, Issa Traore
2020 IEEE Access  
protect the task execution Yes Semi-Markov Decision Process [18] Virtual resources to protect the task execution No Semi-Markov Decision Process [19] Virtual resources to protect the task execution  ...  In Section V, we present a stochastic risk-aware edge server orchestration that applies a risk mitigation strategy to handle the operational risks that the edge servers might be exposed to in a 5G-driven  ...  (http://www.plurilock.com), a network security company which provides innovative authentication technologies, and is one of the pioneers in bringing behavioral biometric authentication products to the  ... 
doi:10.1109/access.2020.3022741 fatcat:3tmvxqdxrnghxhcist7eg3l7qy

How bad can a bug get? an empirical analysis of software failures in the OpenStack cloud computing platform

Domenico Cotroneo, Luigi De Simone, Pietro Liguori, Roberto Natella, Nematollah Bidokhti
2019 Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering - ESEC/FSE 2019  
Unfortunately, residual software bugs in these systems can potentially lead to high-severity failures, such as prolonged outages and data losses.  ...  In this paper, we investigate the impact of failures in the context widespread OpenStack cloud management system, by performing fault injection and by analyzing the impact of the resulting failures in  ...  We are grateful to Alfonso Di Martino for his help in the early stage of this work.  ... 
doi:10.1145/3338906.3338916 dblp:conf/sigsoft/CotroneoSLNB19 fatcat:4fkudetaj5bilp7n2gkhttfbqq

Ensemble-Based Network Edge Processing

Ioan Petri, Ali Reza Zamani, Daniel Balouek-Thomert, Omer Rana, Yacine Rezgui, Manish Parashar
2018 2018 IEEE/ACM 11th International Conference on Utility and Cloud Computing (UCC)  
The use of ensemblebased edge processing is identified to meet these Quality of Service targets, whereby edge nodes can be used to distribute the computational load across a distributed infrastructure.  ...  We propose an ensemble-based network processing model to facilitate distributed execution of energy simulations tasks within an industrial process.  ...  Hence, in practice edge devices cannot execute any of the jobs and only edge clouds and core resource can execute the requests. • Edge Ensemble (EE): In this scenario, the edge clouds and core resources  ... 
doi:10.1109/ucc.2018.00022 dblp:conf/ucc/PetriZBRRP18 fatcat:cvtzbbwhgvho3fwbgweai5qula

Nebula: Distributed Edge Cloud for Data Intensive Computing

Mathew Ryden, Kwangsung Oh, Abhishek Chandra, Jon Weissman
2014 2014 IEEE International Conference on Cloud Engineering  
We show Nebula MapReduce is robust to a wide array of failures and substantially outperforms other wide-area versions based on a BOINC like model.  ...  In this paper, we present Nebula: a dispersed cloud infrastructure that uses voluntary edge resources for both computation and data storage.  ...  ACKNOWLEDGMENT The authors would like to acknowledge NSF Grant: NSF-CSR 1162405, which supported this research.  ... 
doi:10.1109/ic2e.2014.34 dblp:conf/ic2e/RydenOCW14 fatcat:exr2j63wxvcerlfd5axtkvuyuq

An infrastructure-assisted job scheduling and task coordination in volunteer computing-based VANET

Abdul Waheed, Munam Ali Shah, Abid Khan, Gwanggil Jeon
2021 Complex & Intelligent Systems  
Further, we design and implement an adaptive task replication method to seek fault tolerance by avoiding task failures due to locations of vehicles.  ...  utilize the surplus resources of vehicles for task execution.  ...  pursue PhD and to carry out the research work.  ... 
doi:10.1007/s40747-021-00437-3 fatcat:a4wynzgsgngthlia3govbkcsw4

Cloud Reliability

Yury Izrailevsky, Charlie Bell
2018 IEEE Cloud Computing  
Cloud computing allows engineers to rapidly develop complex systems and deploy them continuously, at global scale. This can create unique reliability risks.  ...  Cloud application developers can also employ a number of architectural techniques and operational best practices to further boost the availability of their systems.  ...  ACKNOWLEDGEMENTS We would like to acknowledge the support from Dr. Mazin Yousif, the Editor-in-Chief of IEEE Cloud Computing magazine, and Brian Brannon, editorial content manager.  ... 
doi:10.1109/mcc.2018.032591615 fatcat:jbdvyjcqfncqjaogedntgra4oi

Life Beyond Distributed Transactions on the Edge

Ali Shoker, Ziad Kassam, Paulo Sérgio Almeida, Carlos Baquero
2016 Proceedings of the 1st Workshop on Middleware for Edge Clouds & Cloudlets - MECC '16  
Edge/Fog Computing is an extension to the Cloud Computing model, primarily proposed to pull some of the load on cloud data center towards the edge of the network, i.e., closer to the clients.  ...  Despite being a promising model, the foundations to adopt and fully exploit the edge model are yet to be clear, and thus new ideas are continuously advocated.  ...  Consequently, a transaction can be efficiently applied on an entity being executed close to the user with fairly tightly coupled machine.  ... 
doi:10.1145/3017116.3022874 fatcat:aumzc4ipdvfbrpdx7lf4ujcu2m

Coalescent Computing [article]

Kyle C. Hale
2021 arXiv   pre-print
As computational infrastructure extends to the edge, it will increasingly offer the same fine-grained resource provisioning mechanisms used in large-scale cloud datacenters, and advances in low-latency  ...  We discuss key systems challenges to enabling such tightly-coupled, disaggregated, and ephemeral infrastructure provisioning, advocate for more research in the area, and outline possible paths forward.  ...  In Elastic execution between mobile device and cloud.  ... 
arXiv:2104.07122v1 fatcat:36da7fqzwbb6feqay5ys2yp62y

Nebula: Distributed edge cloud for data-intensive computing

Mathew Ryden, Kwangsung Oh, Abhishek Chandra, Jon Weissman
2014 2014 International Conference on Collaboration Technologies and Systems (CTS)  
We show Nebula MapReduce is robust to a wide array of failures and substantially outperforms other wide-area versions based on a BOINC like model.  ...  In this paper, we present Nebula: a dispersed cloud infrastructure that uses voluntary edge resources for both computation and data storage.  ...  ACKNOWLEDGMENT The authors would like to acknowledge NSF Grant: NSF-CSR 1162405, which supported this research.  ... 
doi:10.1109/cts.2014.6867613 dblp:conf/cts/RydenOCW14 fatcat:aswwg5wi3nbdnpzhfkyujmfx7y

Characterizing application scheduling on edge, fog, and cloud computing resources

Prateeksha Varshney, Yogesh Simmhan
2019 Software, Practice & Experience  
Scheduling applications on clouds has been an active area of research, with workflow and dataflow models serving as a flexible abstraction to specify applications for execution.  ...  Cloud computing has grown to become a popular distributed computing service offered by commercial providers.  ...  On transient edge devices, CloneCloud uses trigger points to snapshot and migrate local state from the edge to its clone on the cloud to resume execution [39] .  ... 
doi:10.1002/spe.2699 fatcat:ywvul6s2j5hgthectdnbh7mnbq

New Frontiers in IoT: Networking, Systems, Reliability, and Security Challenges [article]

Saurabh Bagchi, Tarek F. Abdelzaher, Ramesh Govindan, Prashant Shenoy, Akanksha Atrey, Pradipta Ghosh, Ran Xu
2020 arXiv   pre-print
We show how these open challenges can benefit from foundations laid in other areas, such as, 5G cellular protocols, ML model reduction, and device-edge-cloud offloading.  ...  the physical environment, and the close coupling with humans.  ...  This raises a series of questions: Which option should we choose, edge or cloud, or a hybrid? What data to share with the edge/cloud?  ... 
arXiv:2005.07338v1 fatcat:a6hb5dpk7fgwreua5x2n7vlw7y
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