Reliability, timeliness and load reduction at the edge for cloud gaming

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

Abstract

In this paper we study reliability, timeliness and load reduction in an hybrid Mobile Edge Computing (MEC)/Cloud game streaming infrastructure. In our scenario, a user plays a game streamed by the producer to their handheld device – or User Equipment (UE). The UE communicates user actions to the edge/cloud via the mobile communication infrastructure; the object is to retrieve the latest game status, of which the most important information is the rendered frame. Particularly, we study reliability through replication in a number of MEC- servers, timeliness through Age of Information (AoI) and load reduction by leveraging the X2 interface at the edge, in order to abort useless frame rendering computations. We translate it as a scenario where a sink – representing the UE – is interested in the freshest possible update from distributed nodes. Each node sends updates following a Last Come First Served (LCFS) policy with preemption. We consider two scenarios; the first is n parallel LCFS systems sending updates, and the second adds a feedback loop aimed at decreasing the number of jobs sent per second by the nodes, thus decreasing the load per node. We analyze the number of jobs sent per second and average peak Age of Information at the sink, showing that the second scheme achieves a significantly lower rate of jobs compared with the first, while maintaining constant AoI, thus reducing the load at the edge. We also find that using the feedback loop, we achieve the maximum saving in transmitted jobs per second when the average arrival rate per system is equal to the inverse of the average busy time in every node.

Detaljer

Författare
Enheter & grupper
Externa organisationer
  • Warsaw University of Technology
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Kommunikationssystem
Originalspråkengelska
Titel på värdpublikationInternational Performance Computing and Communications Conference
UtgivningsortPiscataway
FörlagIEEE - Institute of Electrical and Electronics Engineers Inc.
Antal sidor8
ISBN (elektroniskt)978-1-7281-1025-7
StatusE-pub ahead of print - 2020 jan 16
PublikationskategoriForskning
Peer review utfördJa
Evenemang38th IEEE International Performance Computing and Communications Conference, IPPCCC 2019 - London, Storbritannien
Varaktighet: 2019 okt 292019 okt 31

Konferens

Konferens38th IEEE International Performance Computing and Communications Conference, IPPCCC 2019
LandStorbritannien
OrtLondon
Period2019/10/292019/10/31

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