Towards Reliable Application Deployment in the Cloud

  • Akkus I.
  • Chen R.
  • Hilt V.
  • Viswanath B.

Applications are moving from self-maintained infrastructure to the cloud. A common practice to increase the reliability of a cloud application is to deploy redundant instances. Unfortunately, such redundancy efforts can be undermined if the application's instances share common dependencies. This paper presents reCloud, a novel system which can efficiently find a reliable deployment plan for a cloud application that fulfills the developer's requirements, before the application gets deployed. In addition, reCloud utilizes any pieces of available dependency information about the cloud infrastructure to quantitatively assess the reliability of the application's deployment plan with rigorous error bounds. This assessment further enables reCloud to find a deployment plan that balances between reliability and other criteria such as application performance and resource utilization. We implemented a fully functional system. The experimental results show that, even in a large-scale cloud environment with more than 27K hosts, reCloud needs only 30 seconds to find a deployment plan that is one order of magnitude more reliable than the current common practice.

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 ...