Peripheral Readings of the Enneagram

 

I’m Terrified of My New TV: Why I’m Scared to Turn This Thing On — And You’d Be, Too | Brennan Center for Justice

I’m Terrified of My New TV: Why I’m Scared to Turn This Thing On — And You’d Be, Too; Michael Price (Brennan Center, NYU); In Their Blog, crossposted at Salon; 2014-10-30.

Michael Price is counsel in the Liberty and National Security Program at the Brennan Center for Justice at NYU School of Law.

Mentions

  • He hints that it’s a Samsung product, but doesn’t exactly say so.
    • Samsung SmartTV
      product image shown
      yet no product specifications are cited.
  • And in an appeal to authority, he cites General David Petraeus, ex Director of the CIA as an expert in personal opsec, an area where he seems to have insufficient expertise. <quote ref=”Wired“>“Items of interest will be located, identified, monitored, and remotely controlled through technologies such as radio-frequency identification, sensor networks, tiny embedded servers, and energy harvester, We’ll spy on you through your dishwasher”</quote>

Related

  • VIZIO P-Series
    • previously noted (& highly recommended as a DVR display endpoint)
    • Privacy Policy
      apropos: <quote>When Smart Interactivity is enabled, VIZIO will collect specific viewing information, including but not limited to the identity of your broadcast, cable, or satellite television provider, the television programs and commercials you view (including time, date, channel, and whether you view them live or time-shifted), and whether you click on any advertisements.</quote>

Actualities

Abine’s DeleteMe Provides Online Identity Cleansing | NYT

Profiles in Online Identity Cleansing; Ben Johnson; In The New York Times; 2014-11-18.

tl;dr => it’s an ad for Abine‘s DeleteMe service.

Mentions

  • Susan Manion, a consumer, an exemplar.
  • Abine
    • DeleteMe, service/product
    • Rob Shavell, CEO
    • founded 2009
    • Also
      • Blur, an ad blocker, was DoNotTrackMe; annoucement; also to function as a password and payments manager.
  • Apps
    • Secret
    • Whisper
    • Canary
  • Pew Research Center’s Internet and American Life Project
    • a report (uncited), out “this month”
    • generalized handwringing about privacy
  • Competitors (other profilers)
  • Quoted, for color, background & verisimilitude
    • Christopher T. Bavitz, managing director, Cyberlaw Clinic, Harvard Law School.
    • Ryan Calo, an assistant law professor, University of Washington.
    • Philip R. Zimmermann, Pretty Good Privacy (PGP), Silent Circle, Blackphone.

Eventually Consistent: Not What You Were Expecting? | ACM Queue

Wojciech Golab, Muntasir R. Rahman, Alvin AuYoung, Kimberly Keeton, Xiaozhou (Steve) Li; Eventually Consistent: Not What You Were Expecting?; In ACM Queue; Volume 12, Issue 1; 2014-02-18.
Teaser: Methods of quantifying consistency (or lack thereof) in eventually consistent storage systems

  • Wojciech Golab, University of Waterloo
  • Muntasir R. Rahman, University of Illinois at Urbana-Champaign
  • Alvin AuYoung, HP Labs, Palo Alto
  • Kimberly Keeton, HP Labs, Palo Alto
  • Xiaozhou (Steve) Li, Google

Mentions

  • CAP Principle, Eric Brewer
    • Consistency (C)
    • Availability (A)
    • Partition-Tolerance (P)
  • Staleness
    • Version-based Staleness
    • Time-based Staleness
  • Relaxed Consistency Properties
    • k-atomicity
    • Δ-atomicity
  • Linearizabilty
  • Probabilistically Bounded Staleness (PBS)
  • Measurement
    • passive measurement (traces)
    • active measurement (high-rate sampling)
  • clock skew
    • appearance of out-of-order execution
    • standardize the clocks
      • ntp
      • gps
    • unique values in each write (a serial number)
  • conflict graph
  • cycle analysis

References

  • Abadi, D. 2012. Consistency tradeoffs in modern distributed database system design: CAP is only part of the story. IEEE Computer 45(2):
  • Aiyer, A., Alvisi, L., Bazzi, R. A. 2005. On the availability of non-strictquorum systems. In Proceedings of the 19th International Symposium on Distributed Computing: pp.48-62.
  • Amazon Web Services. DynamoDB.
  • Amazon Web Services. SimpleDB.
  • Anderson, E., Li, X., Shah, M. A., Tucek, J., Wylie, J. J. 2010. What consistency does your key- value store actually provide? In Proceedings of the 6th Usenix Workshop on Hot Topics in System Dependability.
  • Bailis, P., Venkataraman, S., Franklin, M. J., Hellerstein, J. M., Stoica, I. 2012. Probabilistically bounded staleness for practical partial quorums. In Proceedings of the VLDB (Very Large Data Base) Endowment 5(8):776-787.
  • Bermbach, D., Zhao, L., Sakr, S. 2013. Towards comprehensive measurement of consistency guarantees for cloud-hosted data storage services. In Proceedings of the 5th TPC (Transaction Processing Performance Council) Technology Conference on Performance Evaluation and Benchmarking.
  • Bermbach, D., Tai, S. 2011. Eventual consistency: how soon is eventual? An evaluation of Amazon S3′s consistency behavior. In Proceedings of the 6th Workshop on Middleware for Service-oriented Computing.
  • Brewer, E. A. 2000. Towards robust distributed systems (invited talk). In Proceedings of the 19th ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing.
  • Corbett, J. C., et al. 2012. Spanner: Google’s globally distributed database. In Proceedings of the 10th Usenix Conference on Operating Systems Design and Implementation:251-264.
  • Davidson, A., Rubinstein, A., Todi, A., Bailis, P., Venkataraman, S. 2012. Adaptive hybrid quorums in practical settings; http://www.cs.berkeley.edu/~kubitron/courses/cs262a-F12/projects/reports/project12_report_ver2.pdf.
  • Decandia, G., Hastorun, D., Jampani, M., Kakulapati, G., Lakshman, A., Pilchin, A., Sivasubramanian, S., Vosshall, P., Vogels, W. 2007. Dynamo: Amazon’s highly available key-valuestore. In Proceedings of the 21st ACM Symposium on Operating Systems Principles.
  • Gibbons, P. B., Korach, E. 1997. Testing shared memories. SIAM (Society for Industrial and Applied Mathematics) Journal on Computing 26(4):1208-1244.
  • Golab, W., Hurwitz, J., Li, X. 2013. On the k-atomicity-verification problem. In Proceedings of the 33rd IEEE International Conference on Distributed Computing Systems.
  • Golab, W., Li, X., Shah, M. A. 2011. Analyzing consistency properties for fun and profit. In Proceedings of the 30th Annual ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing:197-206.
  • Golab, W., Rahman, M. R., AuYoung, A., Keeton, K., Gupta, I. 2013.Client-centricbenchmarking of eventual consistency for cloud storage systems. Manuscript under submission.
  • Hamilton, J. 2009. The cost of latency.
  • 18. Herlihy, M., Wing, J. M. 1990. Linearizability: a correctness condition for concurrent objects. ACM Transactions on Programming Languages and Systems (TOPLAS) 12(3):463-492.
  • Hunt, P., Konar, M., Junqueira, F. P., Reed, B. 2010. ZooKeeper: wait-freecoordination for Internet- scale systems. In Proceedings of the 2010 Usenix Annual Technical Conference:11-25.
  • Lakshman, A., Malik, P. 2010. Cassandra: a decentralized structured storage system. ACM SIGOPS Operating Systems Review 44(2):35-40.
  • Lamport, L. 1986. On interprocess communication. Part I: basic formalism; and Part II: algorithms. Distributed Computing 1(2):77-101.
  • Lloyd, W., Freedman, M. J., Kaminsky, M., Andersen, D. G. 2011. Don’t settle for eventual: scalable causal consistency for wide-areastorage with COPS. In Proceedings of the 23rd ACM Symposium on Operating Systems Principles:401-416.
  • Patil, S., Polte, M., Ren, K., Tantisiriroj, W., Xiao, L., López, J., Gibson, G., Fuchs, A., Rinaldi, B. 2011. YCSB++: benchmarking and performance debugging advanced features in scalable table stores. In Proceedings of the 2nd ACM Symposium on Cloud Computing:9:1-9:14.
  • Rahman, M. R., Golab, W., AuYoung, A., Keeton, K., Wylie, J. J. 2012. Toward a principled framework for benchmarking consistency. In Proceedings of the 8th Usenix Workshop on Hot Topics in System Dependability.
  • Terry, D. 2013. Replicated data consistency explained through baseball. Communications of the ACM.
  • Terry, D. B., Petersen, K., Spreitzer, M. J., Theimer, M. M. 1998. The case for non-transparentreplication: examples from Bayou. IEEE Data Engineering Bulletin 21(4):12-20.
  • Terry, D. B., Prabhakaran, V., Kotla, R., Balakrishnan, M., Aguilera, M. K., Abu-Libdeh,H. 2013. Consistency-basedservice-levelagreements for cloud storage. In Proceedings of the 24th ACM Symposium on Operating Systems Principles.
  • Vogels, W. 2008. Eventually consistent, ACM Queue 6(6):14-19.
  • Wada, H., Fekete, A., Zhao, L., Lee, K., Liu, A. 2011. Data consistency properties and the trade- offs in commercial cloud storage: the consumers’ perspective. In Proceedings of the 5th Biennial Conference on Innovative Data Systems Research:134-143.
  • Zellag, K., Kemme, B. 2012. How consistent is your cloud application? In Proceedings of the 3rd ACM Symposium on Cloud Computing.

YAML | YAML Ain’t Markup Language

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The remarkable rise of big data economics | Quartz

The remarkable rise of big data economics; Matt Phillips; In Quartz; 2014-11-18.

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