April 17, 2017

Stimulus-based Sandbox for Learning Resource Dependencies in Virtualized Distributed Applications

  • Aghasaryan A.
  • Bouzid M.
  • Kostadinov D.

In this paper, we describe a profiling sandbox for cloud-based distributed applications where the dependencies on available computing resources can be methodically elucidated by dynamically applying a series of unitary perturbations on the underlying computing resources. Each such perturbation applied to an application node acts as a stimulus which propagates to performance meters of dependent nodes and reveals correlations and causal relations between the respective entities. The prime application of the sandbox is to learn the behavior of a distributed application under various resource insufficiency or fault conditions and to build dependency models for Quality of Service management and Root Cause Analysis.

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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 ...