PPT-Verifiable Hierarchical Protocols with Network Invariants o

Author : lindy-dunigan | Published Date : 2017-12-15

Opeo l uwa Matthews Jesse Bingham Daniel Sorin FMCAD 2016 Mountain View CA httppeopledukeeduom26 Problem Statement Goal design and automated verification of hierarchical

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Verifiable Hierarchical Protocols with Network Invariants o: Transcript

Opeo l uwa Matthews Jesse Bingham Daniel Sorin FMCAD 2016 Mountain View CA httppeopledukeeduom26 Problem Statement Goal design and automated verification of hierarchical protocols. Tugba . Koc Emrah Cem Oznur Ozkasap. Department of . Computer . Engineering, . Koç . University. , Rumeli . Feneri Yolu, Sariyer, Istanbul . 34450 Turkey. Introduction. Epidemic (gossip-based) principles: highly popular in large scale distributed systems. Microsoft Research. Redmond, WA, USA. Angela Wallenburg. Chalmers University of Technology. G. öteborg, Sweden. Class-local object invariants. 20 Feb 2008. ISEC 2008. Hyderabad, India. Program verification. ECBI. Background. Annex I . took on Quantified Emission Limitation Reduction Commitments, . while non-Annex I . Parties in there national communications have undertaken . mitigation . programmes. . Towards Practical Verifiable Graph Processing. Yupeng. Zhang, . Charalampos. . Papamanthou. and . Jonathan . Katz. University of . Maryland. Agenda. Background of verifiable computation and motivation. Oliver van . Kaick. 1,4 . . Kai . Xu. 2. . Hao. Zhang. 1. . Yanzhen. Wang. 2. . Shuyang. Sun. 1. Ariel Shamir. 3. Daniel Cohen-Or. 4. 4. Tel Aviv University. 1. Simon . Fraser University. -X. : A Comprehensive Invariant based . Approach for . Performance Diagnosis in Big Data Platform. Pengfei. Chen. Xi’an . Jiaotong. university. 2014-9-2. Background. National Defense. Health. Ahmed . Khurshid. , . Wenxuan. Zhou, Matthew Caesar, P. Brighten Godfrey. University of Illinois. Presented by Ofri Ziv. November 2013. Outline. Motivation. Design. Evaluation. Example. Conclusion. Motivation. Gaunnan Guo. 1. Ironfleet: proving practical distributed systems correct. Chris Hawblitzel, Jon Howell, Manos Kapritsos, Jacob R. Lorch, Bryan Parno, Michael L. Roberts, Srinath Setty, Brian Zill. Presented by Wesley Ma. Opeo. l. uwa. . Matthews, Jesse Bingham, Daniel . Sorin. FMCAD 2016 - Mountain View, CA. http://people.duke.edu/~om26/. Problem Statement. Goal: design and automated verification of hierarchical protocols. Classification of Transposable Elements . using a Machine . Learning Approach. Introduction. Transposable Elements (TEs) or jumping genes . are DNA . sequences that . have an intrinsic . capability to move within a host genome from one genomic location . Avdesh. Mishra, . Manisha. . Panta. , . Md. . Tamjidul. . Hoque. , Joel . Atallah. Computer Science and Biological Sciences Department, University of New Orleans. Presentation Overview. 4/10/2018. Produces a set of . nested clusters . organized as a hierarchical tree. Can be visualized as a . dendrogram. A tree-like diagram that records the sequences of merges or splits. Strengths of Hierarchical Clustering. Introduction to Data Mining, 2. nd. Edition. by. Tan, Steinbach, Karpatne, Kumar. Two Types of Clustering. Hierarchical. Partitional algorithms:. Construct various partitions and then evaluate them by some criterion. J. Alex Halderman Brent Waters. . Princeton University SRI International. Complete audit expensive . . seek . probabilistic . guarantee. Who chooses what to audit?. Motivating Example.

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