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Dependability in a Multi-tenant Multi-framework Deep Learning as-a-Service Platform [article]

Scott Boag, Parijat Dube, Kaoutar El Maghraoui, Benjamin Herta, Waldemar Hummer, K. R. Jayaram, Rania Khalaf, Vinod Muthusamy, Michael Kalantar, Archit Verma
<span title="2018-05-17">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
As a result, cloud-based Deep Learning as a Service (DLaaS) platforms have become an essential infrastructure in many organizations.  ...  Deep learning (DL), a form of machine learning, is becoming increasingly popular in several application domains.  ...  CONCLUSIONS This paper provides a brief overview of how dependability is addressed in the context of IBM DLaaS -a publicly avail-able, multi-tenant, multi-framework, deep-learning as a service platform  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1805.06801v1">arXiv:1805.06801v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pstnbqbpk5gonfqttjlkp5ji7a">fatcat:pstnbqbpk5gonfqttjlkp5ji7a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191024090207/https://arxiv.org/pdf/1805.06801v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fc/72/fc727857d9972e4a4822a13a167edcbf037759e4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1805.06801v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

VELTAIR: Towards High-Performance Multi-tenant Deep Learning Services via Adaptive Compilation and Scheduling [article]

Zihan Liu, Jingwen Leng, Zhihui Zhang, Quan Chen, Chao Li, Minyi Guo
<span title="2022-01-17">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Although the multi-tenant service has been studied in conventional workloads, it is not been deeply studied on deep learning service, especially on general-purpose hardware.  ...  As such, many industrial companies such as Google and Facebook have acknowledged the importance of multi-tenant DL services.  ...  Experimental Setup Multi-Tenant Deep Learning Models. To simulate the realistic situation of deep learning services, we use deep learning models from MLPerf (Server) [37] as listed in Tbl. 2.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2201.06212v1">arXiv:2201.06212v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/uxumfhlyhzerxglwp6e3tv5ai4">fatcat:uxumfhlyhzerxglwp6e3tv5ai4</a> </span>
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No DNN Left Behind: Improving Inference in the Cloud with Multi-Tenancy [article]

Amit Samanta and Suhas Shrinivasan and Antoine Kaufmann and Jonathan Mace
<span title="2019-01-23">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
With the rise of machine learning, inference on deep neural networks (DNNs) has become a core building block on the critical path for many cloud applications.  ...  We propose to elevate DNN inference to be a first class cloud primitive provided by a shared multi-tenant system, akin to cloud storage, and cloud databases.  ...  The success of DNNs has correspondingly led to the rapid growth of systems and platforms for deep learning (DL).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1901.06887v2">arXiv:1901.06887v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/k6bgjy7m3vcvrog5skrh55bzza">fatcat:k6bgjy7m3vcvrog5skrh55bzza</a> </span>
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Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA [article]

Adnan Siraj Rakin, Yukui Luo, Xiaolin Xu, Deliang Fan
<span title="2021-10-08">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The wide deployment of Deep Neural Networks (DNN) in high-performance cloud computing platforms brought to light multi-tenant cloud field-programmable gate arrays (FPGA) as a popular choice of accelerator  ...  We propose a novel adversarial attack framework: Deep-Dup, in which the adversarial tenant can inject adversarial faults to the DNN model in the victim tenant of FPGA.  ...  Our proposed Deep-Dup attack framework is validated with a multi-tenant FPGA prototype, as well as some popular DNN architectures and datasets.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2011.03006v2">arXiv:2011.03006v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rn3n2fian5fllkdv2k2y75c7s4">fatcat:rn3n2fian5fllkdv2k2y75c7s4</a> </span>
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Enhancing Autonomy with Blockchain and Multi-Access Edge Computing in Distributed Robotic Systems [article]

Jorge Peña Queralta, Li Qingqing, Zhuo Zou, Tomi Westerlund
<span title="2020-07-01">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We overview the state-of-the-art in MEC slicing, distributed robotic systems and blockchain technology to define a framework for services the MEC layer that will enhance the autonomous operations of connected  ...  In particular, multi-tenant applications at the edge of the network will boost the development of autonomous robots and vehicles offering computational resources and intelligence through reliable offloading  ...  ACKNOWLEDGEMENTS This work was supported by the Academy of Finland's AutoSOS project with grant number 328755, the NSFC grant number 61876039, and the Shanghai Platform for Neuromorphic and AI Chips (NeuHeilium  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2007.01156v1">arXiv:2007.01156v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rmwqquu2qbhwlonqxrrestzc4u">fatcat:rmwqquu2qbhwlonqxrrestzc4u</a> </span>
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FfDL

K. R. Jayaram, Archit Verma, Falk Pollok, Rania Khalaf, Vinod Muthusamy, Parijat Dube, Vatche Ishakian, Chen Wang, Benjamin Herta, Scott Boag, Diana Arroyo, Asser Tantawi
<span title="">2019</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zrhggpuojjeehp4lbf25rnlyfq" style="color: black;">Proceedings of the 20th International Middleware Conference on - Middleware &#39;19</a> </i> &nbsp;
As a result, large scale on-premise and cloud-hosted deep learning platforms have become essential infrastructure in many organizations.  ...  the overheads introduced by the platform for various deep learning models, the load and performance observed in a real case study using FfDL within our organization, the frequency of various faults observed  ...  The platform serves as middleware between the deep learning frameworks and hardware resources.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3361525.3361538">doi:10.1145/3361525.3361538</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/middleware/JayaramMDIWHBAT19.html">dblp:conf/middleware/JayaramMDIWHBAT19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vhwii2hpjrcbtjb4qffenmdjna">fatcat:vhwii2hpjrcbtjb4qffenmdjna</a> </span>
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SESAME: Software defined Enclaves to Secure Inference Accelerators with Multi-tenant Execution [article]

Sarbartha Banerjee, Prakash Ramrakhyani, Shijia Wei, Mohit Tiwari
<span title="2020-07-15">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
to create multi-tenant enclaves on accelerators.  ...  We demonstrate our ideas with a comprehensive prototype – Sesame – that includes modifications to compiler, ISA, and microarchitecture to a decoupled access execute (DAE) accelerator framework for deep  ...  Sesame takes deep learning models such as VGG, ResNet, and AlexNet as input and produces as output an auto-tuned program and a multi-tenant hardware design that enforces computational non-interference  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2007.06751v2">arXiv:2007.06751v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/e2nq6hsp4rbi5p4mn3v27lecfu">fatcat:e2nq6hsp4rbi5p4mn3v27lecfu</a> </span>
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The Trip to The Enterprise Gourmet Data Product Marketplace through a Self-service Data Platform [article]

Michal Zasadzinski, Michael Theodoulou, Markus Thurner, Kshitij Ranganath
<span title="2021-07-28">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
A self-service, multi-tenant, API-first, and scalable data platform is the foundational requirement in creating an enterprise data marketplace, which enables the creation, publishing, and exchange of data  ...  Data Analytics provides core business reporting needs in many software companies, acts as a source of truth for key information, and enables building advanced solutions, e.g., predictive models, machine  ...  All of them helped in shaping the data platform, influencing the spirit and culture of the gourmet marketplace setting it up for success.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2107.13212v1">arXiv:2107.13212v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/uvjrk4foyzhprfxvez4sddui3y">fatcat:uvjrk4foyzhprfxvez4sddui3y</a> </span>
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A Survey of Malware Risk Detection Techniques in Cloud

Ahmad Faiz Ghazali Et.al
<span title="2021-04-11">2021</span> <i title="Auricle Technologies, Pvt., Ltd."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/53g4hcectze5tdtddjgryyqzvi" style="color: black;">Turkish Journal of Computer and Mathematics Education</a> </i> &nbsp;
The current ideologies such as the anti-virus, malware and firewalls detection and protection are proving to be ineffective as they were not specifically designed for multi-tenant cloud environments.  ...  Therefore, this article presents a survey of malware risk detection techniques in cloud. The survey was conducted on publications from Scopus from the last 5 years.  ...  not cater to multi-tenant cloud services [2] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17762/turcomat.v12i3.797">doi:10.17762/turcomat.v12i3.797</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/b64pm4nrcvbddm7xkc2hdvbyeq">fatcat:b64pm4nrcvbddm7xkc2hdvbyeq</a> </span>
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Design of a Security and Trust Framework for 5G Multi-domain Scenarios

José María Jorquera Valero, Pedro Miguel Sánchez Sánchez, Alexios Lekidis, Javier Fernandez Hidalgo, Manuel Gil Pérez, M. Shuaib Siddiqui, Alberto Huertas Celdrán, Gregorio Martínez Pérez
<span title="2021-10-08">2021</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3izr2b7idfhjrp7ojmgew3mlbm" style="color: black;">Journal of Network and Systems Management</a> </i> &nbsp;
The framework is applied in a realistic use case of the H2020 5GZORRO project, which envisions a multi-tenant environment where domain owners share resources at will.  ...  In 5G-enabled scenarios, adversaries can exploit vulnerabilities associated with resource sharing to perform lateral movements targeting other tenant resources, as well as to disturb the 5G services offered  ...  This work has been supported by the European Commission through 5GZORRO project (Grant No. 871533) part of the 5G PPP in Horizon 2020.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10922-021-09623-7">doi:10.1007/s10922-021-09623-7</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ozm56kgkijd5rp2hjzjq3tarbi">fatcat:ozm56kgkijd5rp2hjzjq3tarbi</a> </span>
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Ease.ml

Tian Li, Jie Zhong, Ji Liu, Wentao Wu, Ce Zhang
<span title="2018-01-01">2018</span> <i title="VLDB Endowment"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/p6rqwwpkkjbcldejepcehaalby" style="color: black;">Proceedings of the VLDB Endowment</a> </i> &nbsp;
We observe that resource sharing is a critical yet subtle issue in this multi-tenant scenario, as we have to balance between efficiency and fairness.  ...  We present ease.ml, a declarative machine learning service platform. With ease.ml, a user defines the high-level schema of an ML application and submits the task via a Web interface.  ...  Motivated by these experiences, we designed ease.ml, a declarative machine learning service platform we built for our local collaborators at ETH Zurich that employs an automatic resource manager for multi-tenant  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3187009.3177737">doi:10.1145/3187009.3177737</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rti6ffsfy5cwjkwnxgt6bt7hsa">fatcat:rti6ffsfy5cwjkwnxgt6bt7hsa</a> </span>
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2021 Index IEEE Transactions on Parallel and Distributed Systems Vol. 32

<span title="">2022</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ll6bfs5o6bahfinh3u5z2cnyoy" style="color: black;">IEEE Transactions on Parallel and Distributed Systems</a> </i> &nbsp;
Shi, J., +, TPDS Nov. 2021 2609-2622 VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service.  ...  ., +, TPDS July 2021 1511-1512 VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service.  ...  Graph coloring Feluca: A Two-Stage Graph Coloring Algorithm With Color-Centric Paradigm on GPU. Zheng, Z., +,  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tpds.2021.3107121">doi:10.1109/tpds.2021.3107121</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/e7bh2xssazdrjcpgn64mqh4hb4">fatcat:e7bh2xssazdrjcpgn64mqh4hb4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210905145409/https://ieeexplore.ieee.org/ielx7/71/9465725/09524734.pdf?tp=&amp;arnumber=9524734&amp;isnumber=9465725&amp;ref=" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ca/36/ca3676c9f40393f495b91b00126e6de0bec80e26.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tpds.2021.3107121"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Configuration as a Service in Multi-Tenant Enterprise Resource Planning System

Mona Misfer Al-Shardan, Djamal Ziani
<span title="">2015</span> <i title="EJournal Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/uuoqgoinmfb4ncopu3nktsh5tu" style="color: black;">Lecture Notes on Software Engineering</a> </i> &nbsp;
Index Terms-Configuration, software as a service, multi-tenancy, ERP.  ...  One of these alternative solutions is providing ERP over a software as a service (SaaS) model.  ...  These services are collected into three main services: Infrastructure as a service (IaaS), Platform as a service (PaaS) and Software as a service (SaaS).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7763/lnse.2015.v3.173">doi:10.7763/lnse.2015.v3.173</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qga4yq2klfee3mbyhqkotd2dlq">fatcat:qga4yq2klfee3mbyhqkotd2dlq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809060716/http://www.lnse.org/vol3/173-P033.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/91/60/9160ba8ba0e87141f09f9927e9f10bb54f250c87.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7763/lnse.2015.v3.173"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A Unified FPGA Virtualization Framework for General-Purpose Deep Neural Networks in the Cloud

Shulin Zeng, Guohao Dai, Hanbo Sun, Jun Liu, Shiyao Li, Guangjun Ge, Kai Zhong, Kaiyuan Guo, Yu Wang, Huazhong Yang
<span title="2022-09-30">2022</span> <i title="Association for Computing Machinery (ACM)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/qfvmhupy5fb6tcrtb2orjpq5e4" style="color: black;">ACM Transactions on Reconfigurable Technology and Systems</a> </i> &nbsp;
INFerence-as-a-Service (INFaaS) has become a primary workload in the cloud.  ...  Aiming to solve these problems, we propose a unified virtualization framework for general-purpose deep neural networks in the cloud, enabling multi-tenant sharing for both the Convolution Neural Network  ...  In contrast to these FPGA virtualization frameworks that use full or partial reconfiguration for multi-tenancy support, this article proposes an ISA-based FPGA virtualization framework for deep learning  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3480170">doi:10.1145/3480170</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kgrhiohisvcdxm635l3wykgdri">fatcat:kgrhiohisvcdxm635l3wykgdri</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220303165341/https://dl.acm.org/doi/pdf/10.1145/3480170" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b4/01/b40122ccb8f044fe6978a2e9380fd427ebe88add.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3480170"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Ease.ml in action

Bojan Karlaš, Ji Liu, Wentao Wu, Ce Zhang
<span title="2018-08-01">2018</span> <i title="VLDB Endowment"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/p6rqwwpkkjbcldejepcehaalby" style="color: black;">Proceedings of the VLDB Endowment</a> </i> &nbsp;
We demonstrate ease.ml, a multi-tenant machine learning service we host at ETH Zurich for various research groups.  ...  Unlike existing machine learning services, ease.ml presents a novel architecture that supports multi-tenant, cost-aware model selection that optimizes for minimizing total regrets of all users.  ...  CONCLUSION We have demonstrated ease.ml, a multi-tenant service that aims for efficient resource allocation and improved user experience in declarative machine learning.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14778/3229863.3236258">doi:10.14778/3229863.3236258</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/iqwrydte2fff3jbwemmmdudqx4">fatcat:iqwrydte2fff3jbwemmmdudqx4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190223205549/http://pdfs.semanticscholar.org/566e/ff6cc3a1abbb202f0d4640fb21a30278cafe.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/56/6e/566eff6cc3a1abbb202f0d4640fb21a30278cafe.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14778/3229863.3236258"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>
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