April 17, 2017

On prediction of resource consumption of service requests in cloud environments

  • Derakhshan F.
  • Randriamasy S.
  • Roessler H.
  • Schefczik H.

The functional efficiency of cloud solutions depends on their responsive allocation of processing resources to individual tasks according to their predefined completion time. An optimum usage of resources requires an accurate prediction of resource consumption. In this paper we introduce a novel method for predicting the resource consumption of processing requests in multiple consumption classes in a system consisting of a plentitude of processing units. We further enhance the prediction algorithm with different mechanisms to determine the request resource consumption of a variety of request classes in order to increase the precision of the prediction. We also show that the prediction algorithm is robust against abrupt and large variations of consumption and recovers itself rapidly.Index Terms: Resource consumption prediction, resource allocation, Machine Learning, adaptive algorithms, network softwarization, cloud computing, distributed systems.

View Original Article

Recent Publications

June 04, 2017

A New PRACH Transmission Scheme in Unlicensed Spectrum

  • Luo Z.
  • Meng Y.
  • Tao T.

For the unlicensed spectrum, the occupied bandwidth requirement is demanded by some regulations. The legacy scheme of Physical Random Access Channel (PRACH) for Long Term Evolution (LTE) cannot satisfy it. In this paper, we propose a novel PRACH transmission scheme to satisfy the requirement of unlicensed spectrum based on preamble ...

June 01, 2017

Mutual service processes in Euclidean spaces: existence and ergodicity

  • Baccelli F.
  • Mathieu F.
  • Norros I.

Consider a set of objects, abstracted to points of a spatially stationary point process in R-d, that deliver to each other a service at a rate depending on their distance. Assume that the points arrive as a Poisson process and leave when their service requirements have been fulfilled. We show ...

June 01, 2017

Incentivizing social media users for mobile crowdsourcing

  • Aiello L.
  • Karaliopoulos M.
  • Koutsopoulos I.
  • Micholia P.
  • Morales G.
  • Quercia D.

We focus on the problem of contributor-task matching in mobile crowd-sourcing. The idea is to identify existing social media users who possess domain expertise (e.g., photography) and incentivize them to perform some tasks (e.g., take quality pictures). To this end, we propose a framework that extracts the potential contributors' expertise ...