NDLI: The nom Profit-Maximizing Operating System

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Virtualizing the Edge of the Cloud: the New Frontier

Building a KVM-based Hypervisor for a Heterogeneous System Architecture Compliant System

On Selecting the Right Optimizations for Virtual Machine Migration

Enabling Efficient Hypervisor-as-a-Service Clouds with Eemeral Virtualization

Next Generation Virtual Memory Management

Exploiting FIFO Scheduler to Improve Parallel Garbage Collection Performance

The nom Profit-Maximizing Operating System

Sweet Spots and Limits for Virtualization

Shoot4U: Using VMM Assists to Optimize TLB Operations on Preempted vCPUs

Urgent Virtual Machine Eviction with Enlightened Post-Copy

Abstractions for Practical Virtual Machine Replay

Performance Analysis and Optimization of Full Garbage Collection in Memory-hungry Environments

Enabling Hybrid Parallel Runtimes Through Kernel and Virtualization Support

Performance Implications of Extended Page Tables on Virtualized x86 Processors

SRVM: Hypervisor Support for Live Migration with Passthrough SR-IOV Network Devices

Leveraging Managed Runtime Systems to Build, Analyze, and Optimize Memory Graphs

The nom Profit-Maximizing Operating System

Content Provider	ACM Digital Library
Author	Ben-Yehuda, Muli Tsafrir, Dan Agmon Ben-Yehuda, Orna
Abstract	In the near future, cloud providers will sell their users virtual machines with CPU, memory, network, and storage resources whose prices constantly change according to market-driven supply and demand conditions. Running traditional operating systems in these virtual machines is a poor fit: traditional operating systems are not aware of changing resource prices and their sole aim is to maximize performance with no consideration of costs. Consequently, they yield low profits. We present nom, a profit-maximizing operating system designed for cloud computing platforms with dynamic resource prices. Applications running on nom aim to maximize profits by optimizing simultaneously for performance and resource costs. The nom kernel provides them with direct access to the underlying hardware and full control over their private software stacks. Since nom applications know there is no single ``best'' software stack, they adapt their stacks' behavior on the fly according to the current price of available resources and their private utility from them, which differs between applications. We show that in addition to achieving up to 3.9x better throughput and up to 9.1x better latency, nom applications yield up to 11.1x higher profits when compared with the same applications running on Linux and OSv.
Starting Page	145
Ending Page	160
Page Count	16
File Format	PDF
ISBN	9781450339476
DOI	10.1145/2892242.2892250
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-03-25
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Cloud computing Operating systems Game theory
Content Type	Text
Resource Type	Article

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