PPT-Memory Trace Oblivious Program Execution for Cloud Computin

Chang Liu Three great tastes that go great together Combining PL Crypto Architecture Research With Michael Hicks Elaine Shi Austin Harris Martin Maas and Mohit Tiwari Cloud computing raises . Application Models. Group #6. Chandra . Shekhar. . Jammi. (95167373). Venkata. Sri . Krishnakanth. . Pulla. (95911880). Prashant. . Tiwari. (22721608). Introduction. Cloud computing offers benefits like increased storage, increased processing capacity, flexibility and mobility, reduced cost etc.. Tony Hoare. Ian Wehrman . Traces. Trace: set of events + dependency relation. an execution of a program. tr. Trace Separation. W. eak separation . (*). tp. * . tq. . =. . tp. U . tq. . . when . Chapter 8: Debugging. Chapter 9: . OllyDbg. Chapter 8: Debugging. Debugger. Hardware or software used to examine execution of another program. Disassembler: static snapshot of what code looks like before execution. Matt MassieFrank NothaftChristopher HartlChristos KozanitisAndr Todd Frederick. Vulnerabilities are everywhere…. 2. Binary Concolic Execution. rtm. Robert Morris. An exploit. 3. Binary Concolic Execution. DD8F2F736800DD8F2F62696ED05E5ADD00DD00DD5ADD03D05E5CBC3B. Outline. What is slicing?. Why use slicing. ?. Static slicing . o. f programs. Dynamic Program Slicing. Data dependence detection. Control dependence detection. Backward Slicing . Backward computation. Chapter 8: Debugging. Chapter 9: . OllyDbg. Chapter 8: Debugging. Debugger. Hardware or software used to examine execution of another program. Disassembler: static snapshot of what code looks like before execution. From calendar:. Management of . CPU (scheduling) processes, memory. , . disk, and files. . Implications of concurrency. . Concurrent programming, including . interprocess. . communications . in distributed systems. . P. rogramming . F. rameworks for Scientific Applications. Thilina. . Gunarathne. Indiana University. Trends. Massive data. Thousands to millions of cores. Consolidated data centers. Shift from clock rate battle to multicore to many core…. P. rogramming . F. rameworks for Scientific Applications. Thilina. . Gunarathne. Indiana University. Trends. Massive data. Thousands to millions of cores. Consolidated data centers. Shift from clock rate battle to multicore to many core…. ECE/CS 498AM. University of Illinois. Problem:. Software piracy. Oded. . Goldreich. :. Existing “solutions” are ad-hoc. What is the minimal protected hardware required?. Approach:. Physically-shielded (i.e., tamper-proof) CPU. Xiao Shaun Wang, . Kartik . Nayak. , Chang Liu, T-H. Hubert Chan, Elaine Shi, Emil . Stefanov. , Yan Huang. 1. Emails. Photos. Videos. Financial data. Medical records. Genome data. ……. Sensitive Data in the Cloud. Chapter 8: Debugging. Chapter 9: . OllyDbg. Chapter 8: Debugging. Debugger. Hardware or software used to examine execution of another program. Disassembler: static snapshot of what code looks like before execution. Performance of Computer System. Various factors. Depends on. Scalability: . Computer Performance . Number of processors used. Measuring performance of parallel computer architecture for large-scale applications require very good understanding of...