Jeffrey K. MacKie-Mason

Economic Incentives (Download full paper)

MacKie-Mason, Jeffrey K.

Published on: January, 2000

The Case for Market-based Push Caching (Download full paper)

MacKie-Mason, Jeffrey K. Chan, Yee Man Womer, Jonathan Jamin, Sugih

Published on: November, 1999

Inducements to Advocacy: The Economist as Independent Expert (Download full paper)

MacKie-Mason, Jeffrey K. and Richard A. Pfau

Published on: January, 1999

Abstract: The appropriate role of the economic expert in antitrust litigation is to seek the truth, whereas the role for the attorneys is to seek the best possible outcome possible for the client. Yet the attorneys hire the economic experts, and the experts often work closely in many aspects of researching and developing the client's case. Can an expert economist provide an independent, professionally respectable opinion in this setting fraught with advocacy? We discuss the inducements to advocacy faced by economists who testify in antitrust proceedings, and ways in which a practicing economic expert might counter these inducements. We discuss two cases in which we have been involved to illustrate some of the important issues.

Biased Replacement Policies for Web Caches: Differential Quality-of-Service and Aggregate User Value (Download full paper)

MacKie-Mason, Jeffrey K. Kelly, Terence P. Chan, Yee Man Jamin, Sugih

Published on: January, 1999

Abstract: Disk space in shared Web caches can be diverted to serve some system users at the expense of others. Cache hits reduce server loads, and if servers desire load reduction to different degrees, a replacement policy which prioritizes cache space across servers can provide differential quality-of-service (QoS). We present a simple generalization of least-frequently-used (LFU) replacement that is sensitive to varying levels of server valuation for cache hits. Through trace-driven simulation we show that under a particular assumption about server valuations our algorithm delivers a reasonable QoS relationship: higher byte hit rates for servers that value hits more. We furthermore adopt the economic perspective that value received by system users is a more appropriate performance metric than hit rate or byte hit rate, and demonstrate that our algorithm delivers higher "social welfare" (aggregate value to servers) than LRU or LFU.