1995
DOI: 10.1145/568271.223816
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Broadcast disks

Abstract: This paper proposes the use of repetitive broadcast as a way of augmenting~he memory hierarchy of clients in an asyrnmdric communication environment.We describe a new technique called "Broadcast Disks" for structuring the broadcast in a way that provides improved performance for non-unformly accessed data.The Broadcast Disk superimposes multiple disks spinning at different speeds on a single broadcast channel-in e~ect creating an arbitrarily fine-grainedmemory hierarchy. In addition to proposing and defining t… Show more

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Cited by 113 publications
(10 citation statements)
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References 16 publications
(14 reference statements)
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“…First, in the research on push-based data broadcast, Acharya et al (1995) proposed the first algorithm to achieve the pre-selected data items placed at a single channel, and disseminated the pre-selected data items on the basis of access probability. Consequently, due to the parallelism of multiple channels, Vaidya and Hameed (1999) proposed several algorithms to determine data scheduling pattern that minimizes the waiting time of client in multiple channels.…”
Section: Related Workmentioning
confidence: 99%
“…First, in the research on push-based data broadcast, Acharya et al (1995) proposed the first algorithm to achieve the pre-selected data items placed at a single channel, and disseminated the pre-selected data items on the basis of access probability. Consequently, due to the parallelism of multiple channels, Vaidya and Hameed (1999) proposed several algorithms to determine data scheduling pattern that minimizes the waiting time of client in multiple channels.…”
Section: Related Workmentioning
confidence: 99%
“…Heuristic, low complexity scheduling methods were introduced in [2] with the introduction of the Broadcast Disks model. According to it, items are grouped by popularity, forming virtual disks rotating around a common axis.…”
Section: Related Workmentioning
confidence: 99%
“…In accordance with the related work on scheduling [2], [3], [4], [5], [7], [10], [11], [12], [13], [15], [16], [17], [18], [19], [20], an item is simply a piece of information that a client may acquire through a single query. It is clarified that in pushbased broadcast scheduling, the term "client query" does not imply posting a request to a server, but rather waiting for the broadcast of a specific item.…”
Section: Notation and Standard Assumptionsmentioning
confidence: 99%
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