Results 211 to 220 of about 34,010 (296)
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XFaaS: Cross-platform Orchestration of FaaS Workflows on Hybrid Clouds
IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, 2023Functions as a Service (FaaS) have gained popularity for programming public clouds due to their simple abstraction, ease of deployment, effortless scaling and granular billing. Cloud providers also offer basic capabilities to compose these functions into
Aakash Khochare +3 more
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Fine-Grained Performance and Cost Modeling and Optimization for FaaS Applications
IEEE Transactions on Parallel and Distributed Systems, 2023Function-as-a-Service (FaaS) has become a mainstream cloud computing paradigm for developers to build cloud-native applications in recent years. By taking advantage of serverless architecture, FaaS applications bring many desirable benefits, including ...
Chang-Yang Lin +3 more
semanticscholar +1 more source
BeeHive: Sub-second Elasticity for Web Services with Semi-FaaS Execution
International Conference on Architectural Support for Programming Languages and Operating Systems, 2023Function-as-a-service (FaaS), an emerging cloud computing paradigm, is expected to provide strong elasticity due to its promise to auto-scale fine-grained functions rapidly.
Ziming Zhao +5 more
semanticscholar +1 more source
Multicloud Deployment of AI Workflows Using FaaS and Storage Services
International Conference on Communication Systems and Networks, 2023Multicloud deployments are getting traction for benefits such as agility, avoiding vendor lock-in, resilience, etc. Use of Function-as-a-Service (FaaS) platforms is emerging as a preferred choice for deploying AI workflows. These platforms from different
M. Ramesh, Dheeraj Chahal, Rekha Singhal
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FaDO: FaaS Functions and Data Orchestrator for Multiple Serverless Edge-Cloud Clusters
International Conference on Fog and Edge Computing, 2022Function-as-a-Service (FaaS) is an attractive cloud computing model that simplifies application development and deployment. However, current serverless compute platforms do not consider data placement when scheduling functions.
Christopher Peter Smith +4 more
semanticscholar +1 more source
FaaSt: Optimize makespan of serverless workflows in federated commercial FaaS
IEEE International Conference on Cluster Computing, 2022Nowadays, scientists migrate workflow applications on serverless Function-as-a-Service (FaaS) platforms in a form of so called function choreographies (FCs) to benefit from FaaS high elasticity and instantly spawning numerous functions.
S. Ristov, Philipp Gritsch
semanticscholar +1 more source
ACM SIGCOMM Computer Communication Review, 2012
IP spoofing weakens network security and accountability. Although a lot of techniques have been proposed to prevent IP spoofing, most of them are not implemented by device vendors, and the only available anti-spoofing tool in practice is ingress filtering [3].
Bingyang Liu, Jun Bi, Xiaowei Yang
openaire +1 more source
IP spoofing weakens network security and accountability. Although a lot of techniques have been proposed to prevent IP spoofing, most of them are not implemented by device vendors, and the only available anti-spoofing tool in practice is ingress filtering [3].
Bingyang Liu, Jun Bi, Xiaowei Yang
openaire +1 more source
Canary: Fault-Tolerant FaaS for Stateful Time-Sensitive Applications
International Conference for High Performance Computing, Networking, Storage and Analysis, 2022Function-as-a-Service (FaaS) platforms have recently gained rapid popularity. Many stateful applications have been migrated to FaaS platforms due to their ease of deployment, scalability, and minimal management overhead.
Moiz Arif, Kevin Assogba, M. M. Rafique
semanticscholar +1 more source
Defuse: A Dependency-Guided Function Scheduler to Mitigate Cold Starts on FaaS Platforms
IEEE International Conference on Distributed Computing Systems, 2021Function-as-a-Service (FaaS) is becoming a prevalent paradigm in developing cloud applications. With FaaS, clients can develop applications as serverless functions, leaving the burden of resource management to cloud providers.
Jiacheng Shen +4 more
semanticscholar +1 more source
tinyFaaS: A Lightweight FaaS Platform for Edge Environments
International Conference on Fog Computing, 2020The Function-as-a-Service (FaaS) model is a great fit for data and event processing in the Internet of Things (IoT). Sending all data to a cloud-based FaaS platform, however, may cause performance and privacy issues. While these issues could be mitigated
Tobias Pfandzelter, David Bermbach
semanticscholar +1 more source

