The Experts below are selected from a list of 201 Experts worldwide ranked by ideXlab platform
William H. Sanders - One of the best experts on this subject based on the ideXlab platform.
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EDCC - A Mirrored Data Structures Approach to Diverse Partial Memory Replication
2012 Ninth European Dependable Computing Conference, 2012Co-Authors: R.m. Lefever, Vikram Adve, William H. SandersAbstract:Software memory errors are a growing threat to software dependability. In previous work, we proposed an approach for detecting memory errors, called Diverse Partial Memory Replication (DPMR), that utilized automated Program Diversity and memory replication. The original design aimed to maximize coverage by making the pointers stored in different memory replicas comparable. In this paper, we propose and evaluate an alternative design called Mirrored Data Structures (MDS), which sacrifices pointer comparability to gain three primary benefits. 1) MDS significantly increases DPMR's applicability by eliminating all DPMR restrictions on memory allocation, pointer arithmetic, and pointer-to-pointer casts. 2) For Programs that store many pointers to memory, MDS reduces DPMR's overhead, as is demonstrated in experimental results. 3) MDS significantly reduces DPMR's memory footprint.
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DSN - Diverse Partial Memory Replication
2010 IEEE IFIP International Conference on Dependable Systems & Networks (DSN), 2010Co-Authors: R.m. Lefever, Vikram Adve, William H. SandersAbstract:An important approach for software dependability is the use of Diversity to detect and/or tolerate errors. We develop and evaluate an approach for automated Program Diversity called Diverse Partial Memory Replication (DPMR), aimed at detecting memory safety errors. DPMR is an automatic compiler transformation that replicates some subset of an executable's data memory and applies one or more Diversity transformations to the replica. DPMR can detect any kind of memory safety errors in any part of a Program's data memory. Moreover, DPMR is novel because it uses partial replication within a single address space, replicating (and comparing) only a subset of a Program's memory. We also perform a detailed study of the Diversity mechanisms and state comparison policies in DPMR (a first of its kind for such Diversity approaches), which is valuable for exploiting the high flexibility of DPMR.
R.m. Lefever - One of the best experts on this subject based on the ideXlab platform.
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EDCC - A Mirrored Data Structures Approach to Diverse Partial Memory Replication
2012 Ninth European Dependable Computing Conference, 2012Co-Authors: R.m. Lefever, Vikram Adve, William H. SandersAbstract:Software memory errors are a growing threat to software dependability. In previous work, we proposed an approach for detecting memory errors, called Diverse Partial Memory Replication (DPMR), that utilized automated Program Diversity and memory replication. The original design aimed to maximize coverage by making the pointers stored in different memory replicas comparable. In this paper, we propose and evaluate an alternative design called Mirrored Data Structures (MDS), which sacrifices pointer comparability to gain three primary benefits. 1) MDS significantly increases DPMR's applicability by eliminating all DPMR restrictions on memory allocation, pointer arithmetic, and pointer-to-pointer casts. 2) For Programs that store many pointers to memory, MDS reduces DPMR's overhead, as is demonstrated in experimental results. 3) MDS significantly reduces DPMR's memory footprint.
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DSN - Diverse Partial Memory Replication
2010 IEEE IFIP International Conference on Dependable Systems & Networks (DSN), 2010Co-Authors: R.m. Lefever, Vikram Adve, William H. SandersAbstract:An important approach for software dependability is the use of Diversity to detect and/or tolerate errors. We develop and evaluate an approach for automated Program Diversity called Diverse Partial Memory Replication (DPMR), aimed at detecting memory safety errors. DPMR is an automatic compiler transformation that replicates some subset of an executable's data memory and applies one or more Diversity transformations to the replica. DPMR can detect any kind of memory safety errors in any part of a Program's data memory. Moreover, DPMR is novel because it uses partial replication within a single address space, replicating (and comparing) only a subset of a Program's memory. We also perform a detailed study of the Diversity mechanisms and state comparison policies in DPMR (a first of its kind for such Diversity approaches), which is valuable for exploiting the high flexibility of DPMR.
Vikram Adve - One of the best experts on this subject based on the ideXlab platform.
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EDCC - A Mirrored Data Structures Approach to Diverse Partial Memory Replication
2012 Ninth European Dependable Computing Conference, 2012Co-Authors: R.m. Lefever, Vikram Adve, William H. SandersAbstract:Software memory errors are a growing threat to software dependability. In previous work, we proposed an approach for detecting memory errors, called Diverse Partial Memory Replication (DPMR), that utilized automated Program Diversity and memory replication. The original design aimed to maximize coverage by making the pointers stored in different memory replicas comparable. In this paper, we propose and evaluate an alternative design called Mirrored Data Structures (MDS), which sacrifices pointer comparability to gain three primary benefits. 1) MDS significantly increases DPMR's applicability by eliminating all DPMR restrictions on memory allocation, pointer arithmetic, and pointer-to-pointer casts. 2) For Programs that store many pointers to memory, MDS reduces DPMR's overhead, as is demonstrated in experimental results. 3) MDS significantly reduces DPMR's memory footprint.
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DSN - Diverse Partial Memory Replication
2010 IEEE IFIP International Conference on Dependable Systems & Networks (DSN), 2010Co-Authors: R.m. Lefever, Vikram Adve, William H. SandersAbstract:An important approach for software dependability is the use of Diversity to detect and/or tolerate errors. We develop and evaluate an approach for automated Program Diversity called Diverse Partial Memory Replication (DPMR), aimed at detecting memory safety errors. DPMR is an automatic compiler transformation that replicates some subset of an executable's data memory and applies one or more Diversity transformations to the replica. DPMR can detect any kind of memory safety errors in any part of a Program's data memory. Moreover, DPMR is novel because it uses partial replication within a single address space, replicating (and comparing) only a subset of a Program's memory. We also perform a detailed study of the Diversity mechanisms and state comparison policies in DPMR (a first of its kind for such Diversity approaches), which is valuable for exploiting the high flexibility of DPMR.
Ulrike Rohn - One of the best experts on this subject based on the ideXlab platform.
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Is Small the New Big? Size Effects on TV Stations’ Social Network Communication
Journal of Media Business Studies, 2013Co-Authors: Kati Förster, Ulrike RohnAbstract:AbstractIn previous research size aspects have been discussed as key determinants for any explanation how television broadcasting works. This paper addresses the question how the market and the firm size influence the social network site (SNS) communication by television stations. The study examines the Facebook activities of twelve stations in four countries and investigates the degrees of sophistication along key success factors for SNS communication. Yet, different from what has been argued from the resources argument our results suggest that the small Program Diversity and the incentives lead to a more sophisticated SNS communication in small markets and by small companies.
Kati Förster - One of the best experts on this subject based on the ideXlab platform.
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Is Small the New Big? Size Effects on TV Stations’ Social Network Communication
Journal of Media Business Studies, 2013Co-Authors: Kati Förster, Ulrike RohnAbstract:AbstractIn previous research size aspects have been discussed as key determinants for any explanation how television broadcasting works. This paper addresses the question how the market and the firm size influence the social network site (SNS) communication by television stations. The study examines the Facebook activities of twelve stations in four countries and investigates the degrees of sophistication along key success factors for SNS communication. Yet, different from what has been argued from the resources argument our results suggest that the small Program Diversity and the incentives lead to a more sophisticated SNS communication in small markets and by small companies.