115 citations · 407 across the 27 of their papers we have counts for
28 papers
Accelerating Performance Inference over Closed Systems by Asymptotic Methods
Giuliano Casale
Recent years have seen a rapid growth of interest in exploiting monitoring data collected from enterprise applications for automated management and performance analysis. In spite o…
CILP: Co-simulation based Imitation Learner for Dynamic Resource Provisioning in Cloud Computing Environments
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
Intelligent Virtual Machine (VM) provisioning is central to cost and resource efficient computation in cloud computing environments. As bootstrapping VMs is time-consuming, a key c…
DeepFT: Fault-Tolerant Edge Computing using a Self-Supervised Deep Surrogate Model
Shreshth Tuli, Giuliano Casale, Ludmila Cherkasova +1
The emergence of latency-critical AI applications has been supported by the evolution of the edge computing paradigm. However, edge solutions are typically resource-constrained, po…
SampleHST: Efficient On-the-Fly Selection of Distributed Traces
Alim Ul Gias, Yicheng Gao, Matthew Sheldon +3
Since only a small number of traces generated from distributed tracing helps in troubleshooting, its storage requirement can be significantly reduced by biasing the selection towar…
DRAGON: Decentralized Fault Tolerance in Edge Federations
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
Edge Federation is a new computing paradigm that seamlessly interconnects the resources of multiple edge service providers. A key challenge in such systems is the deployment of lat…
AI Augmented Edge and Fog Computing: Trends and Challenges
Shreshth Tuli, Fatemeh Mirhakimi, Samodha Pallewatta +6
In recent years, the landscape of computing paradigms has witnessed a gradual yet remarkable shift from monolithic computing to distributed and decentralized paradigms such as Inte…