CV | Papers Peter J. Keleher 

Email: keleher @ cs - PGP Key
Position: Associate Professor, CS and UMIACS,
Univ. of Maryland at College Park.
Teaching: Database Design (424)
Office: 4157 A.V. Williams Bldg.
Phone: (301) 405-0345
Fax: (301) 405-6707
Address: Dept. of Computer Science,
University of Maryland,
College Park, MD 20742-3255
Other: Book Club

 Research Interests UbiOS | MoteFS | TerraDir    Deno | Harmony | CVM  
My research is mostly in the field of distributed systems. Loosely defined, this encompasses work in operating systems, runtime systems, and distributed object and database systems. In all cases, our approach is to identify problems, propose solutions in the form of specific policies and mechanisms, and then empirically evaluate them. We are systems builders: very few projects end in analysis or simulation. The systems that we study often operate in fluid, dynamic environments. Simply put, my group tries to make systems operate better in such circumstances. Central to our approach is the notion of building systems that transparently adapt applications to changing conditions.

Current work:

  • T.Rex is based on the premise that data sharing platforms need to be dynamic, expressive, and user-centric. Further, we argue that such platforms need to include access control and the ability to enforce multiple consistency models, even in seemingly benign environments like the home. We are currently building a prototype of T.Rex that will run on linux boxes, macs, and iOS devices.
  • Flow is a distributed object system that adaptively replicates blob pools independently from upper layers, which include a versioning file system (FlowFS), and will soon include object and DB interfaces.
  • ChitFS is a distributed file system based on the chit, a flexible and efficient form of capabilities.
  • Spore seeks to build reliable and secure data systems on untrusted substrates. We rely only on untrusted put/get functionality for immutable objects. Hence, this underlying substrate could be anything from a P2P system running on end user home machines to one of the commercial cloud providers.

Older work: , , , , and .

 PhD Students

      Vassilios Lekakis
      Ben Bengfort

      Kritchalach Thitikamol
      Bujor Silaghi
      Ugur Cetintemel
      Jik-Soo Kim
      Sukhyun Song
      Jaehwan Lee
      Gary Jackson