TY - JOUR

T1 - Truly online paging with locality of reference

AU - Fiat, Amos

AU - Mendel, Manor

N1 - Copyright:
Copyright 2004 Elsevier Science B.V., Amsterdam. All rights reserved.

PY - 1997

Y1 - 1997

N2 - The access graph model for paging, defined by [3] are studied in [3, 7, 4] has a number of troubling aspects. The access graph has to be known in advance to the paging algorithm and the memory required to represent the access graph itself may be very large. In this extended abstract we present a truly online strongly competitive paging algorithm in the access graph model that does not have any prior information on the access sequence. We give both strongly competitive deterministic and strongly competitive randomized algorithms. Our algorithms need only O(k log n) bits of memory, where k is the number of page slots available and n is the size of the virtual address space. I.e., no more memory than needed to store the virtual translation tables for pages in memory. In fact, we can reduce this to O(k log k) bits using appropriate probabilistic data structures. We also extend the locality of reference concept captured by the access graph model to allow changes in the behavior of the underlying process. We formalize this by introducing the concept of an `extended access graph'. We consider a graph parameter Δ that captures the degree of change allowed. We study this new model and give algorithms that are strongly competitive for the (unknown) extended access graph. We can do so for almost all values of Δ for which it is possible.

AB - The access graph model for paging, defined by [3] are studied in [3, 7, 4] has a number of troubling aspects. The access graph has to be known in advance to the paging algorithm and the memory required to represent the access graph itself may be very large. In this extended abstract we present a truly online strongly competitive paging algorithm in the access graph model that does not have any prior information on the access sequence. We give both strongly competitive deterministic and strongly competitive randomized algorithms. Our algorithms need only O(k log n) bits of memory, where k is the number of page slots available and n is the size of the virtual address space. I.e., no more memory than needed to store the virtual translation tables for pages in memory. In fact, we can reduce this to O(k log k) bits using appropriate probabilistic data structures. We also extend the locality of reference concept captured by the access graph model to allow changes in the behavior of the underlying process. We formalize this by introducing the concept of an `extended access graph'. We consider a graph parameter Δ that captures the degree of change allowed. We study this new model and give algorithms that are strongly competitive for the (unknown) extended access graph. We can do so for almost all values of Δ for which it is possible.

UR - http://www.scopus.com/inward/record.url?scp=0031356158&partnerID=8YFLogxK

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AN - SCOPUS:0031356158

SN - 0272-5428

SP - 326

EP - 335

JO - Proceedings - Annual IEEE Symposium on Foundations of Computer Science, FOCS

JF - Proceedings - Annual IEEE Symposium on Foundations of Computer Science, FOCS

T2 - Proceedings of the 1997 38th IEEE Annual Symposium on Foundations of Computer Science

Y2 - 20 October 1997 through 22 October 1997

ER -