Impact of pay-as-you-go Cloud Platforms on Software Pricing and Development: A Review and Case Study

Barbosa, Fernando; Charão, Andrea Schwertner

doi:10.1007/978-3-642-31128-4_30

Cited by 2 publications

(1 citation statement)

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“…Virtualization has been adopted by most cloud computing platforms to profit from the "pay as you go (PAYG)" model [2]. Virtualization is an idea generated from IBM's mainframe platform in the early 1960s.…”

Section: Introductionmentioning

confidence: 99%

Perspective Chapter: Deep Reinforcement Learning for Co-Resident Attack Mitigation in The Cloud

Cui¹,

Homsi²

2022

Artificial Intelligence

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Cloud computing brings convenience and cost efficiency to users, but multiplexing virtual machines (VMs) on a single physical machine (PM) results in various cybersecurity risks. For example, a co-resident attack could occur when malicious VMs use shared resources on the hosting PM to control or gain unauthorized access to other benign VMs. Most task schedulers do not contribute to both resource management and risk control. This article studies how to minimize the co-resident risks while optimizing the VM completion time through designing efficient VM allocation policies. A zero-trust threat model is defined with a set of co-resident risk mitigation parameters to support this argument and assume that all VMs are malicious. In order to reduce the chances of co-residency, deep reinforcement learning (DRL) is adopted to decide the VM allocation strategy. An effective cost function is developed to guide the reinforcement learning (RL) policy training. Compared with other traditional scheduling paradigms, the proposed system achieves plausible mitigation of co-resident attacks with a relatively small VM slowdown ratio.

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Section: Introductionmentioning

confidence: 99%