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Muli Ben-Yehuda

Researcher at Technion – Israel Institute of Technology

Publications -  46
Citations -  3343

Muli Ben-Yehuda is an academic researcher from Technion – Israel Institute of Technology. The author has contributed to research in topics: Virtual machine & Virtualization. The author has an hindex of 25, co-authored 46 publications receiving 3161 citations. Previous affiliations of Muli Ben-Yehuda include IBM.

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Journal ArticleDOI

The reservoir model and architecture for open federated cloud computing

TL;DR: The Reservoir project is motivated by the vision of implementing an architecture that would enable providers of cloud infrastructure to dynamically partner with each other to create a seemingly infinite pool of IT resources while fully preserving their individual autonomy in making technological and business management decisions.
Journal ArticleDOI

Deconstructing Amazon EC2 Spot Instance Pricing

TL;DR: By analyzing the spot price histories of Amazon's EC2 cloud, this work reverse engineer how prices are set and construct a model that generates prices consistent with existing price traces, finding that prices are usually not market-driven as sometimes previously assumed.
Proceedings ArticleDOI

The turtles project: design and implementation of nested virtualization

TL;DR: The Turtles project, which is part of the Linux/KVM hypervisor, can achieve performance that is within 6-8% of single-level (non-nested) virtualization for common workloads, through multi-dimensional paging for MMU virtualization and multi-level device assignment for I/O virtualization.
Proceedings ArticleDOI

Deconstructing Amazon EC2 Spot Instance Pricing

TL;DR: By analyzing the spot price histories of Amazon's EC2 cloud, this work reverse engineer how prices are set and construct a model that generates prices consistent with existing price traces, finding that prices are usually not market-driven as sometimes previously assumed.
Proceedings ArticleDOI

ELI: bare-metal performance for I/O virtualization

TL;DR: ELI (ExitLess Interrupts), a software-only approach for handling interrupts within guest virtual machines directly and securely, manages to improve the throughput and latency of unmodified, untrusted guests by 1.3x-1.6x, allowing them to reach 97%-100% of bare-metal performance even for the most demanding I/O-intensive workloads.