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cs/0703116
Roberto Bagnara
Roberto Bagnara, Patricia M. Hill, Andrea Pescetti, Enea Zaffanella
On the Design of Generic Static Analyzers for Modern Imperative Languages
72 pages
null
null
null
cs.PL cs.LO
null
The design and implementation of precise static analyzers for significant fragments of modern imperative languages like C, C++, Java and Python is a challenging problem. In this paper, we consider a core imperative language that has several features found in mainstream languages such as those including recursive functions, run-time system and user-defined exceptions, and a realistic data and memory model. For this language we provide a concrete semantics --characterizing both finite and infinite computations-- and a generic abstract semantics that we prove sound with respect to the concrete one. We say the abstract semantics is generic since it is designed to be completely parametric on the analysis domains: in particular, it provides support for \emph{relational} domains (i.e., abstract domains that can capture the relationships between different data objects). We also sketch how the proposed methodology can be extended to accommodate a larger language that includes pointers, compound data objects and non-structured control flow mechanisms. The approach, which is based on structured, big-step $\mathrm{G}^\infty\mathrm{SOS}$ operational semantics and on abstract interpretation, is modular in that the overall static analyzer is naturally partitioned into components with clearly identified responsibilities and interfaces, something that greatly simplifies both the proof of correctness and the implementation.
[ { "created": "Fri, 23 Mar 2007 09:47:15 GMT", "version": "v1" }, { "created": "Thu, 28 Jun 2007 10:56:42 GMT", "version": "v2" } ]
2007-06-28
[ [ "Bagnara", "Roberto", "" ], [ "Hill", "Patricia M.", "" ], [ "Pescetti", "Andrea", "" ], [ "Zaffanella", "Enea", "" ] ]
The design and implementation of precise static analyzers for significant fragments of modern imperative languages like C, C++, Java and Python is a challenging problem. In this paper, we consider a core imperative language that has several features found in mainstream languages such as those including recursive functions, run-time system and user-defined exceptions, and a realistic data and memory model. For this language we provide a concrete semantics --characterizing both finite and infinite computations-- and a generic abstract semantics that we prove sound with respect to the concrete one. We say the abstract semantics is generic since it is designed to be completely parametric on the analysis domains: in particular, it provides support for \emph{relational} domains (i.e., abstract domains that can capture the relationships between different data objects). We also sketch how the proposed methodology can be extended to accommodate a larger language that includes pointers, compound data objects and non-structured control flow mechanisms. The approach, which is based on structured, big-step $\mathrm{G}^\infty\mathrm{SOS}$ operational semantics and on abstract interpretation, is modular in that the overall static analyzer is naturally partitioned into components with clearly identified responsibilities and interfaces, something that greatly simplifies both the proof of correctness and the implementation.
1311.3322
Thanh Do
Thanh Do and Haryadi S. Gunawi
Impact of Limpware on HDFS: A Probabilistic Estimation
9 pages, 6 figures, detailed probability calculation for SOCC 13 limplock paper
null
null
null
cs.OS cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the advent of cloud computing, thousands of machines are connected and managed collectively. This era is confronted with a new challenge: performance variability, primarily caused by large-scale management issues such as hardware failures, software bugs, and configuration mistakes. In our previous work we highlighted one overlooked cause: limpware - hardware whose performance degrades significantly compared to its specification. We showed that limpware can cause severe impact in current scale-out systems. In this report, we quantify how often these scenarios happen in Hadoop Distributed File System.
[ { "created": "Wed, 13 Nov 2013 22:05:58 GMT", "version": "v1" } ]
2013-11-15
[ [ "Do", "Thanh", "" ], [ "Gunawi", "Haryadi S.", "" ] ]
With the advent of cloud computing, thousands of machines are connected and managed collectively. This era is confronted with a new challenge: performance variability, primarily caused by large-scale management issues such as hardware failures, software bugs, and configuration mistakes. In our previous work we highlighted one overlooked cause: limpware - hardware whose performance degrades significantly compared to its specification. We showed that limpware can cause severe impact in current scale-out systems. In this report, we quantify how often these scenarios happen in Hadoop Distributed File System.
2012.03766
Xiaowei Wu
Xiaowei Wu, Bo Li and Jiarui Gan
Budget-feasible Maximum Nash Social Welfare Allocation is Almost Envy-free
16 pages, 2 figures
null
null
null
cs.GT cs.MA
http://creativecommons.org/licenses/by/4.0/
The Nash social welfare (NSW) is a well-known social welfare measurement that balances individual utilities and the overall efficiency. In the context of fair allocation of indivisible goods, it has been shown by Caragiannis et al. (EC 2016 and TEAC 2019) that an allocation maximizing the NSW is envy-free up to one good (EF1). In this paper, we are interested in the fairness of the NSW in a budget-feasible allocation problem, in which each item has a cost that will be incurred to the agent it is allocated to, and each agent has a budget constraint on the total cost of items she receives. We show that a budget-feasible allocation that maximizes the NSW achieves a 1/4-approximation of EF1 and the approximation ratio is tight. The approximation ratio improves gracefully when the items have small costs compared with the agents' budgets; it converges to 1/2 when the budget-cost ratio approaches infinity.
[ { "created": "Mon, 7 Dec 2020 15:07:40 GMT", "version": "v1" } ]
2020-12-08
[ [ "Wu", "Xiaowei", "" ], [ "Li", "Bo", "" ], [ "Gan", "Jiarui", "" ] ]
The Nash social welfare (NSW) is a well-known social welfare measurement that balances individual utilities and the overall efficiency. In the context of fair allocation of indivisible goods, it has been shown by Caragiannis et al. (EC 2016 and TEAC 2019) that an allocation maximizing the NSW is envy-free up to one good (EF1). In this paper, we are interested in the fairness of the NSW in a budget-feasible allocation problem, in which each item has a cost that will be incurred to the agent it is allocated to, and each agent has a budget constraint on the total cost of items she receives. We show that a budget-feasible allocation that maximizes the NSW achieves a 1/4-approximation of EF1 and the approximation ratio is tight. The approximation ratio improves gracefully when the items have small costs compared with the agents' budgets; it converges to 1/2 when the budget-cost ratio approaches infinity.
1803.04363
Jingyi Zheng
Jingyi Zheng, Fushing Hsieh
Information of Epileptic Mechanism and its Systemic Change-points in a Zebrafish's Brain-wide Calcium Imaging Video Data
8 Pages, 11 figures
null
null
null
q-bio.NC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The epileptic mechanism is postulated as that an animal's neurons gradually diminish their inhibition function coupled with enhanced excitation when an epileptic event is approaching. Calcium imaging technique is designed to directly record brain-wide neurons activity in order to discover the underlying epileptic mechanism. In this paper, using one brain-wide calcium imaging video of Zebrafish, we compute dynamic pattern information of the epileptic mechanism, and devise three graphical displays to show the visible functional aspect of epileptic mechanism over five inter-ictal periods. The foundation of our data-driven computations for such dynamic patterns relies on one universal phenomenon discovered across 696 informative pixels. This universality is that each pixel's progressive 5-percentile process oscillates in an irregular fashion at first, but, after the middle point of inter-ictal period, the oscillation is replaced by a steady increasing trend. Such dynamic patterns are collectively transformed into a visible systemic change-point as an early warning signal (EWS) of an incoming epileptic event. We conclude through the graphic displays that pattern information extracted from the calcium imaging video realistically reveals the Zebrafish's authentic epileptic mechanism.
[ { "created": "Wed, 14 Feb 2018 01:27:03 GMT", "version": "v1" } ]
2018-03-13
[ [ "Zheng", "Jingyi", "" ], [ "Hsieh", "Fushing", "" ] ]
The epileptic mechanism is postulated as that an animal's neurons gradually diminish their inhibition function coupled with enhanced excitation when an epileptic event is approaching. Calcium imaging technique is designed to directly record brain-wide neurons activity in order to discover the underlying epileptic mechanism. In this paper, using one brain-wide calcium imaging video of Zebrafish, we compute dynamic pattern information of the epileptic mechanism, and devise three graphical displays to show the visible functional aspect of epileptic mechanism over five inter-ictal periods. The foundation of our data-driven computations for such dynamic patterns relies on one universal phenomenon discovered across 696 informative pixels. This universality is that each pixel's progressive 5-percentile process oscillates in an irregular fashion at first, but, after the middle point of inter-ictal period, the oscillation is replaced by a steady increasing trend. Such dynamic patterns are collectively transformed into a visible systemic change-point as an early warning signal (EWS) of an incoming epileptic event. We conclude through the graphic displays that pattern information extracted from the calcium imaging video realistically reveals the Zebrafish's authentic epileptic mechanism.