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A conceptual framework for network and client adaptation
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Source Mobile Networks and Applications archive
Volume 5 ,  Issue 4  (December 2000) table of contents
Pages: 221 - 231  
Year of Publication: 2000
ISSN:1383-469X
Authors
B. Badrinath  Rutgers Univ., Piscataway, NJ
Armando Fox  Stanford Univ., Stanford, CA
Leonard Kleinrock  Univ. of California, Los Angeles
Gerald Popek  Univ. of California, Los Angeles
Peter Reiher  Univ. of California, Los Angeles
M. Satyanarayanan  Carnegie Mellon Univ., Pittsburgh, PA
Publisher
Kluwer Academic Publishers  Hingham, MA, USA
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Downloads (6 Weeks): 2,   Downloads (12 Months): 20,   Citation Count: 5
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DOI Bookmark: 10.1023/A:1019168830964

ABSTRACT

Modern networks are extremely complex, varying both statically and dynamically. This complexity and dynamism are greatly increased when the network contains mobile elements. A number of researchers have proposed solutions to these problems based on dynamic adaptation to changing network conditions and application requirements. This paper summarizes the results of several such projects and extracts several important general lessons learned about adapting data flows over difficult network conditions. These lessons are then formulated into a conceptual framework that demonstrates how a few simple and powerful ideas can describe a wide variety of different software adaptation systems. This paper describes an Adaptation Framework in the context of the several successful adaptation systems and suggests how the framework can help researchers think about the problems of adaptivity in networks.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
B. Badrinath: colleagues
Armando Fox: colleagues
Leonard Kleinrock: colleagues
Gerald Popek: colleagues
Peter Reiher: colleagues
M. Satyanarayanan: colleagues