Network-Aware Operator Placement for Stream-Processing

COMPSCI 264 · Harvard University

Information Retrieval in P2P Networks Using Semantic Overlays

COMPSCI 264 · Harvard University

Measurement Techniques in Parallel Computing

COMPSCI 264 · Harvard University

Robust Incentive Techniques for P2P Networks

COMPSCI 264 · Harvard University

Exploring the Design Space of Distributed and P2P Systems

COMPSCI 264 · Harvard University

Reputation Management in P2P Anonymity Systems

COMPSCI 264 · Harvard University

Overview of Peer-to-Peer Systems

COMPSCI 264 · Harvard University

Study of the LIP Protocol

COMPSCI 264 · Harvard University

Directory Service for Massively Parallel Computing

COMPSCI 264 · Harvard University

Worm Containment Strategies in Peer-to-Peer Overlays

COMPSCI 264 · Harvard University

Searching for Content in Peer-to-Peer Networks

COMPSCI 264 · Harvard University

Empirical Investigation into Parallel Computing

COMPSCI 264 · Harvard University

Study of Micropayments for Peer-to-Peer Systems

COMPSCI 264 · Harvard University

Implications of Selfish Neighbor Behavior

COMPSCI 264 · Harvard University

Guidelines for Writing a Review

COMPSCI 264 · Harvard University

Scalable Application-Level Anycast for Dynamic Groups

COMPSCI 264 · Harvard University

massively parallel computing 9921

COMPSCI 264 — Massively Parallel Computing

Network-Aware Operator Placement for Stream-Processing

Information Retrieval in P2P Networks Using Semantic Overlays

Measurement Techniques in Parallel Computing

Robust Incentive Techniques for P2P Networks

Exploring the Design Space of Distributed and P2P Systems

Reputation Management in P2P Anonymity Systems

Overview of Peer-to-Peer Systems

Study of the LIP Protocol

Directory Service for Massively Parallel Computing

Worm Containment Strategies in Peer-to-Peer Overlays

Searching for Content in Peer-to-Peer Networks

Empirical Investigation into Parallel Computing

Study of Micropayments for Peer-to-Peer Systems

Implications of Selfish Neighbor Behavior

Guidelines for Writing a Review

Scalable Application-Level Anycast for Dynamic Groups

COMPSCI 264 — Massively Parallel Computing

Network-Aware Operator Placement for Stream-Processing

Information Retrieval in P2P Networks Using Semantic Overlays

Measurement Techniques in Parallel Computing

Robust Incentive Techniques for P2P Networks

Exploring the Design Space of Distributed and P2P Systems

Reputation Management in P2P Anonymity Systems

Overview of Peer-to-Peer Systems

Study of the LIP Protocol

Directory Service for Massively Parallel Computing

Worm Containment Strategies in Peer-to-Peer Overlays

Searching for Content in Peer-to-Peer Networks

Empirical Investigation into Parallel Computing

Study of Micropayments for Peer-to-Peer Systems

Implications of Selfish Neighbor Behavior

Guidelines for Writing a Review

Scalable Application-Level Anycast for Dynamic Groups