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Book
M. Parashar, S. Chandra, and X. Li, Advanced Computational Infrastructures for Parallel and Distributed Applications. John Wiley and Sons, 2009, p. 518.
A. V. Vasilakos, M. Parashar, S. Karnouskos, and W. Pedrycz, Autonomic Communication. 2010, p. 374.
M. Parashar and S. Hariri, Autonomic Computing: Concepts, Infrastructure and Applications. CRC Press, 2006, p. 568.
S. Chandra, X. Li, T. Saif, and M. Parashar, Enabling Scalable Parallel Implementations of Structured Adaptive Mesh Refinement Applications, 2nd ed., vol. 39. 2007, pp. 177-203.
N. Jiang and M. Parashar, In-network Data Estimation Mechanisms for Sensor-driven Scientific Applications, vol. LNCS 5374. Bangalore, India: , 2008, pp. 282-294.
C. Schmidt and M. Parashar, Squid: Enabling Search in DHT-based Systems, vol. 68/7. Elsevier Press, 2008, pp. 962-975.
Book Chapter
J. D. Teresco et al., “Approaches to Architecture-Aware Parallel Scientific Computation”, in Proc. PP04: Frontiers of Scientific Computing, 2004.
J. D. Teresco et al., “Approaches to Architecture-Aware Parallel Scientific Computation”, in Parallel Processing for Scientific Computing, Siam Press, 2006, pp. 33-58.
V. Bhat, M. Parashar, and N. Kandasamy, “Autonomic Data Streaming for High Performance Scientific Applications”, in Autonomic Computing: Concepts, Infrastructure and Applications, CRC Press, 2006, pp. 413-433.
M. Parashar, “Autonomic Grid Computing - Concepts, Requirements, Infrastructures”, in Autonomic Computing: Concepts, Infrastructure and Applications, CRC Press, 2006, pp. 49-70.
H. Kim, M. Parashar, A. Quiroz, and N. Gnanasambandam, “Autonomic Workflow Management in Dynamically Federated, Hybrid Cloud Infrastructures using CometCloud”, in Cloud Computing: Methodology, Systems, and Applications, CRC, Taylor & Francis Group, 2011.
H. Kim and M. Parashar, “CometCloud: An Autonomic Cloud Engine”, in Cloud Computing: Principles and Paradigms, John Wiley & Sons, 2011, pp. 275-297.
V. Mann and M. Parashar, “DISCOVER: A Computational Collaboratory for Interactive Grid Applications”, in Grid Computing: Making the Global Infrastructure a Reality, 2003, pp. 727-744.
S. Chandra and M. Parashar, “Distributed Shared Memory Tools”, in Tool and Environments for Parallel and Distributed Computing, 2004, pp. 57-78.
M. Parashar, T. Kurc, M. F. Wheeler, U. Catalyurek, and J. Saltz, “Driving Science and Engineering Applications by Data: Dynamic Data-Driven Approaches for Simulation-Based Optimization and Decision Making”, in Dynamic Data Driven Applications Systems, 2010.
J. Saltz et al., “Driving Science and Engineering Applications by Data in Distributed Environments”, in Dynamic Data Driven Applications Systems, Editor: F. Darema., Kluwer Academic Publishers, 2006.
M. Parashar, Z. Li, H. Liu, V. Matossian, and C. Schmidt, “Enabling Autonomic Grid Applications: Requirements, Models and Infrastructures”, in Self-Star 2004, Self-Star Properties in Complex Information Systems, Lecture Notes in Computer Science, vol. LNCS 3460, Springer Verlag, 2005, pp. 273-290.
M. Parashar and X. Li, “Enabling Large-Scale Computational Science: Motivations, Requirements and Challenges”, in Advanced Computational Infrastructures for Parallel and Distributed Applications, John Wiley and Sons, 2010, pp. 1-7.
I. Rodero and M. Parashar, “Energy Efficiency in HPC Systems”, in Energy-Efficient Distributed Computing Systems, Series on Parallel and Distributed Computing, Hoboken, NJ, USA: John Wiley and Sons, Inc, 2012, pp. 81-108.
I. Rodero, A. Quiroz, M. Parashar, F. Guim, and S. Poole, “Energy-efficient Online Provisioning for HPC Workloads”, in Handbook of Energy-Aware and Green Computing, Chapman & Hall/CRC Press, 2012, pp. 795-816.
S. Chandra, X. Li, and M. Parashar, “Engineering an Autonomic Partitioning Framework for Grid-based SAMR Applications”, in High Performance Scientific and Engineering Computing: Hardware/Software Support, 2004, pp. 169-187.
H. Kim, Y. el-Khamra, S. Jha, and M. Parashar, “Exploring the Use of Hybrid HPC-Grids/Clouds Infrastructure for Science and Engineering”, in Cloud Computing: Methodology, Systems, and Applications, CRC, Taylor & Francis Group, 2011.
S. Hariri and M. Parashar, “The Foundations of Autonomic Computing”, in Handbook of Bioinspired Algorithms and Applications, CRC Press LLC, 2005, pp. 157-175.
M. Parashar and X. Li, “GrACE: Grid Adaptive Computational Engine for Parallel Structured AMR Applications”, in Advanced Computational Infrastructures for Parallel and Distributed Applications, John Wiley and Sons, 2010, pp. 249-263.
M. Parashar and X. Li, “HRMS: Hybrid Runtime Management Strategies for Large Scale Parallel Adaptive Applications”, in Advanced Computational Infrastructures for Parallel and Distributed Applications, John Wiley and Sons, 2010, pp. 437-462.

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