Towards Slack-Aware Networking

Author:

Dogar Fahad R.1

Affiliation:

1. Tufts University

Abstract

We are moving towards an Internet where most of the packets may be consumed by \emph{machines} -- set-top-boxes or smart-phone apps prefetching content, Internet of Things (IoT) devices uploading their data to the cloud, or data centers doing geo-distributed replication. We observe that such machine centric communication can afford to have \emph{slack} built into it: every packet can be marked as to when it will be consumed in future. Slack could be anywhere from seconds to hours or even days. In this paper, we make a case for slack-aware networking by illustrating slack opportunities that arise for a wide range of applications as they interact with the cloud and its pricing models (e.g., spot pricing). We also sketch the design of SlackStack, a network stack with explicit support for slack at multiple levels of the stack, from a slack-based interface to slack-aware optimizations at the transport and network layers.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Software

Reference38 articles.

1. Amazon AWS. http://aws.amazon.com. Amazon AWS. http://aws.amazon.com.

2. Amazon Fire. http://www.amazon.com/fire. Amazon Fire. http://www.amazon.com/fire.

3. Amazon Spot Instances. https://aws.amazon.com/ec2/spot/. Amazon Spot Instances. https://aws.amazon.com/ec2/spot/.

4. Demand for Netflix Amazon and other streaming video continues to grow. http://www.usatoday.com/. Demand for Netflix Amazon and other streaming video continues to grow. http://www.usatoday.com/.

5. Google Preemptable VMs. https://cloud.google.com/preemptible-vms/. Google Preemptable VMs. https://cloud.google.com/preemptible-vms/.

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1. Divided at the Edge - Measuring Performance and the Digital Divide of Cloud Edge Data Centers;Proceedings of the ACM on Networking;2023-11-27

2. MissIt: Using Missed Calls for Free, Extremely Low Bit-Rate Communication in Developing Regions;Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems;2020-04-21

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