Reliable Communication Infrastructure for Adaptive Data Replication

Apparatus for determining in-blow % carbon content and/or the First Turn Down Carbon of a BOF heat includes a light sensor housed within a temperature regulated case having a sighting window including air wipe means to shield the light sensor from steelmaking dust and fume. The apparatus also includes a means to generate a signal that corresponds to the amount of oxygen blown into the BOF during a heat, and a programmable logic controller. The logic controller is programmed to continuously process oxygen blown signals from the signal generating means, and light intensity signals received from the light sensor. The program calculates continuous in-blow % carbon content of the heat based upon the difference in light intensity from a point of maximum light intensity emitted from the BOF vessel in relation to the amount of oxygen blown into the BOF vessel during the same period of time.

[1]  Rachid Guerraoui,et al.  Exploiting Atomic Broadcast in Replicated Databases , 1998, Euro-Par.

[2]  Sushil Jajodia,et al.  An adaptive data replication algorithm , 1997, TODS.

[3]  Ricardo Jiménez-Peris,et al.  Boosting Database Replication Scalability through Partial Replication and 1-Copy-Snapshot-Isolation , 2007, 13th Pacific Rim International Symposium on Dependable Computing (PRDC 2007).

[4]  Sameh Elnikety,et al.  Tashkent+: memory-aware load balancing and update filtering in replicated databases , 2007, EuroSys '07.

[5]  Robbert van Renesse,et al.  Building Adaptive Systems Using Ensemble , 1998, Softw. Pract. Exp..

[6]  Robbert van Renesse,et al.  Building adaptive systems using ensemble , 1998 .

[7]  Alberto Bartoli,et al.  Online reconfiguration in replicated databases based on group communication , 2001, 2001 International Conference on Dependable Systems and Networks.

[8]  Gustavo Alonso,et al.  GlobeDB: autonomic data replication for web applications , 2005, WWW '05.

[9]  Dean Daniels,et al.  R*: An Overview of the Architecture , 1986, JCDKB.

[10]  Fernando Pedone,et al.  An adaptive algorithm for efficient message diffusion in unreliable environments , 2004, International Conference on Dependable Systems and Networks, 2004.

[11]  Kirk L. Johnson,et al.  Overcast: reliable multicasting with on overlay network , 2000, OSDI.

[12]  Yair Amir,et al.  From total order to database replication , 2002, Proceedings 22nd International Conference on Distributed Computing Systems.

[13]  Guillaume Pierre,et al.  Autonomic Data Placement Strategies for Update-intensiveWeb applications , 2005, First International Workshop on Advanced Architectures and Algorithms for Internet Delivery and Applications (AAA-IDEA'05).

[14]  Divyakant Agrawal,et al.  The performance of database replication with group multicast , 1999, Digest of Papers. Twenty-Ninth Annual International Symposium on Fault-Tolerant Computing (Cat. No.99CB36352).

[15]  Ricardo Jiménez-Peris,et al.  An Autonomic Approach for Replication of Internet-based Services , 2008, 2008 Symposium on Reliable Distributed Systems.

[16]  Michael Stonebraker,et al.  The Design and Implementation of Distributed INGRES , 1986, The INGRES Papers.

[17]  Junfeng Yang,et al.  Kinesis: A new approach to replica placement in distributed storage systems , 2009, TOS.

[18]  Amin Vahdat,et al.  Using Random Subsets to Build Scalable Network Services , 2003, USENIX Symposium on Internet Technologies and Systems.

[19]  Dimitrios Tsoumakos,et al.  An Adaptive Probabilistic Replication Method for Unstructured P2P Networks , 2006, OTM Conferences.

[20]  Rajmohan Rajaraman,et al.  A dynamic object replication and migration protocol for an Internet hosting service , 1999, Proceedings. 19th IEEE International Conference on Distributed Computing Systems (Cat. No.99CB37003).

[21]  Ishfaq Ahmad,et al.  Static and adaptive distributed data replication using genetic algorithms , 2004, J. Parallel Distributed Comput..

[22]  Eugene Wong,et al.  Query processing in a system for distributed databases (SDD-1) , 1981, TODS.

[23]  Ouri Wolfson,et al.  The multicast policy and its relationship to replicated data placement , 1991, TODS.

[24]  Konstantinos Kalpakis,et al.  Optimal Placement of Replicas in Trees with Read, Write, and Storage Costs , 2001, IEEE Trans. Parallel Distributed Syst..

[25]  Kenneth P. Birman,et al.  The Maestro Approach to Building Reliable Interoperable Distributed Applications with Multiple Execution Styles , 1998, Theory Pract. Object Syst..

[26]  Amos Fiat,et al.  Competitive distributed file allocation , 1993, STOC '93.

[27]  Rachid Guerraoui.  Revistiting the Relationship Between Non-Blocking Atomic Commitment and Consensus , 1995, WDAG.

[28]  P. Rolin,et al.  SIRIUS System for Distributed Data Management , 1982, DDB.