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This study provides valuable insights into the capacity of serverless architectures to fulfill the requirements of time-sensitive applications. In ref. [33], ...
In our research, we offer an exclusive likelihood-based model of adaptive machine learning for identifying the right place of function.
Jun 28, 2024 · By encompassing factors like network delay, arrival computation, and emphasis on resources, the machine learning model eases the selection ...
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Jun 21, 2021 · In this paper, we present LaSS, a platform that uses model-driven approaches for running latency-sensitive serverless computations on edge resources.
Figure 5. Function execution in cloud and edge. Latency-Sensitive Function Placement among Heterogeneous Nodes in Serverless Computing.
Apr 29, 2021 · Our results show that LaSS can accurately predict the resources needed for serverless functions in the presence of highly dynamic workloads, and ...
We examine their placement across heterogeneous edge-cloud nodes, taking into account factors such as network latency and computation latency. The scope of our ...
Deadline Sensitive And Function Placement In Multi-tier Serverless ... Latency-Sensitive Function Placement among Heterogeneous Nodes in Serverless Computing.
Abstract—Serverless computing systems have become very popular because of their natural advantages with respect to auto- scaling, load balancing and fast ...
Jan 1, 2024 · This paper proposes a framework. LEASE that dynamically schedules resources in serverless func- tions catering to different microservices and ...