Optimizing Enterprise Cloud Applications on Data-Insights

  • Sala A.

The Cloud has become a compelling infrastructure to host a number of diverse services and applications with different operational and service requirements. New trends are showing an increasingly complex landscape comprised of a wide variety of applications ranging from mission critical services, such as network control functions, to time-critical functions such as gaming or financial services. However, todays Cloud management systems are largely oblivious to high performance enterprise-grade needs for quality of service and performance guarantees. Therefore, this new demand is calling for novel Cloud solutions that would provide service performance guarantees, meet on-demand locality needs, satisfy mix of centralized and distributed deployment and low latency requirements. This talk will discuss the opportunities and the research challenges of realizing Cloud solutions able to satisfy the needs of the upcoming Cloud applications at scale. Specifically, real time data from end-users and infrastructure would play a significant role in learning the contextual factors of different applications and leveraging those to proactively respond to their requirements.

Recent Publications

August 09, 2017

A Cloud Native Approach to 5G Network Slicing

  • Francini A.
  • Miller R.
  • Sharma S.

5G networks will have to support a set of very diverse and often extreme requirements. Network slicing offers an effective way to unlock the full potential of 5G networks and meet those requirements on a shared network infrastructure. This paper presents a cloud native approach to network slicing. The cloud ...

August 01, 2017

Modeling and simulation of RSOA with a dual-electrode configuration

  • De Valicourt G.
  • Liu Z.
  • Violas M.
  • Wang H.
  • Wu Q.

Based on the physical model of a bulk reflective semiconductor optical amplifier (RSOA) used as a modulator in radio over fiber (RoF) links, the distributions of carrier density, signal photon density, and amplified spontaneous emission photon density are demonstrated. One of limits in the use of RSOA is the lower ...

July 12, 2017

PrivApprox: Privacy-Preserving Stream Analytics

  • Chen R.
  • Christof Fetzer
  • Le D.
  • Martin Beck
  • Pramod Bhatotia
  • Thorsten Strufe

How to preserve users' privacy while supporting high-utility analytics for low-latency stream processing? To answer this question: we describe the design, implementation and evaluation of PRIVAPPROX, a data analytics system for privacy-preserving stream processing. PRIVAPPROX provides three properties: (i) Privacy: zero-knowledge privacy (ezk) guarantees for users, a privacy bound tighter ...