Biased Replacement Policies for Web Caches: Differential Quality-of-Service and Aggregate User Value
نویسندگان
چکیده
منابع مشابه
Biased Replacement Policies for Web Caches: Differential Quality-of-Service and Aggregate User Value
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 se...
متن کاملBiased Replacement Policies for Web Caches: Di erential Quality-of-Service and Aggregate User Value
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 di erent degrees, a replacement policy which prioritizes cache space across servers can provide di erential quality-of-service (QoS). We present a simple generalization of leastfrequently-used (LFU) replacement that is sensi...
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This paper presents a comparison of the performance of seven randomized replacement policies proposed for Web caching (RAND, HARMONIC, LRU-C, LRU-S, CLIMB-C, CLIMB-S and RRGVF) and the classical LRU scheme widely used in Web proxy caches. This comparison is performed using a Web cache simulator that implements the aforementioned replacement policies and uses a workload of real proxy traces to s...
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Due to differences in server capacity, external bandwidth, and client demand, some Web servers value cache hits more than others. Assuming that a shared cache knows the extent to which different servers value hits, it may employ a value-sensitive replacement policy in order to generate maximum aggregate value for servers. We consider both the prediction and value aspects of this problem and int...
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Web content caches are often placed between end-users and origin servers as a mean to reduce server load, network usage, and ultimately, user-perceived latency. Cached objects typically have associated expiration times, after which they are considered stale and must be validated with a remote server (origin or another cache) before they can be sent to a client. A considerable fraction of cache ...
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ژورنال
عنوان ژورنال: SSRN Electronic Journal
سال: 1999
ISSN: 1556-5068
DOI: 10.2139/ssrn.978704