@article{LuckowJhaKimetal.2009,
  author    = {Luckow, Andre and Jha, Shantenu and Kim, Joohyun and Merzky, Andre and Schnor, Bettina},
  title     = {Adaptive distributed replica-exchange simulations},
  issn      = {1364-503X},
  doi       = {10.1098/rsta.2009.0051},
  year      = {2009},
  abstract  = {Owing to the loose coupling between replicas, the replica-exchange (RE) class of algorithms should be able to benefit greatly from using as many resources as available. However, the ability to effectively use multiple distributed resources to reduce the time to completion remains a challenge at many levels. Additionally, an implementation of a pleasingly distributed algorithm such as replica-exchange, which is independent of infrastructural details, does not exist. This paper proposes an extensible and scalable framework based on Simple API for Grid Applications that provides a general-purpose, opportunistic mechanism to effectively use multiple resources in an infrastructure-independent way. By analysing the requirements of the RE algorithm and the challenges of implementing it on real production systems, we propose a new abstraction (BIGJOB), which forms the basis of the adaptive redistribution and effective scheduling of replicas.},
  language  = {en}
}
@article{TroegerMerzky2014,
  author    = {Troeger, Peter and Merzky, Andre},
  title     = {Towards standardized job submission and control in infrastructure clouds},
  series = {Journal of grid computing},
  volume    = {12},
  journal   = {Journal of grid computing},
  number    = {1},
  publisher = {Springer},
  address   = {Dordrecht},
  issn      = {1570-7873},
  doi       = {10.1007/s10723-013-9275-2},
  pages     = {111 -- 125},
  year      = {2014},
  abstract  = {The submission and management of computational jobs is a traditional part of utility computing environments. End users and developers of domain-specific software abstractions often have to deal with the heterogeneity of such batch processing systems. This lead to a number of application programming interface and job description standards in the past, which are implemented and established for cluster and Grid systems. With the recent rise of cloud computing as new utility computing paradigm, the standardized access to batch processing facilities operated on cloud resources becomes an important issue. Furthermore, the design of such a standard has to consider a tradeoff between feature completeness and the achievable level of interoperability. The article discusses this general challenge, and presents some existing standards with traditional cluster and Grid computing background that may be applicable to cloud environments. We present OCCI-DRMAA as one approach for standardized access to batch processing facilities hosted in a cloud.},
  language  = {en}
}