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Elastic Scalable Cloud Computing Using Application-Level Migration

Shigeru Imai, Thomas Chestna, Carlos A. Varela
2012 2012 IEEE Fifth International Conference on Utility and Cloud Computing  
framework based on an actor-oriented programming language.  ...  We present the Cloud Operating System (COS), a middleware framework to support autonomous workload elasticity and scalability based on application-level migration as a reconfiguration strategy.  ...  ACKNOWLEDGMENT We would like to thank Naveen Sundar Govindarajulu for his valuable feedback. This research is partially supported by Air Force Office of Scientific Research Grant No. FA9550-11-1-0332.  ... 
doi:10.1109/ucc.2012.53 dblp:conf/ucc/ImaiCV12 fatcat:uxy37v6d2fdojhgmgrip3avmva

Exploring application and infrastructure adaptation on hybrid grid-cloud infrastructure

Hyunjoo Kim, Yaakoub el-Khamra, Shantenu Jha, Manish Parashar
2010 Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing - HPDC '10  
Clouds are emerging as an important class of distributed computational resources and are quickly becoming an integral part of production computational infrastructures.  ...  In general, we find that grid-cloud infrastructure can support novel usage modes, such as deadline-driven scheduling, for applications with tunable characteristics that can adapt to varying resource types  ...  CometCloud Overview CometCloud [25] is an autonomic computing engine for clouds and grids environments that enables the development and execution of dynamic application workflows in heterogeneous and  ... 
doi:10.1145/1851476.1851536 dblp:conf/hpdc/KimKJP10 fatcat:d7vjfovkv5fi3hlentqgcebwk4

DEF - a programming language agnostic framework and execution environment for the parallel execution of library routines

Thomas Feilhauer, Martin Sobotka
2016 Journal of Cloud Computing: Advances, Systems and Applications  
DEF allows the user to configure clusters in a public/private Cloud and automatically distributes the tasks for executing the library routines on the workers of the cluster.  ...  There is high demand for library routines that can be included into arbitrary programs and executed in parallel in the Cloud.  ...  The entire research team contributed to the discussions that led to this paper and provided the environment in which the ideas could be implemented and evaluated.  ... 
doi:10.1186/s13677-016-0070-z fatcat:pghmz6pmrfauzilrzj5pzxzlp4

Cloud federation in a layered service model

David Villegas, Norman Bobroff, Ivan Rodero, Javier Delgado, Yanbin Liu, Aditya Devarakonda, Liana Fong, S. Masoud Sadjadi, Manish Parashar
2012 Journal of computer and system sciences (Print)  
This business model for the Cloud is consistent with broker mediated supply and service delivery chains in other commodity sectors such as finance and manufacturing.  ...  WRF is used to illustrate the concepts of delegation and federation, the translation of service requirements between service layers, and inter-Cloud broker functions needed to achieve federation.  ...  part of the NSF Center for Autonomic Computing at Rutgers University.  ... 
doi:10.1016/j.jcss.2011.12.017 fatcat:bierl2tvojev5bi4uyutvth5vi

Developing and Operating Time Critical Applications in Clouds: The State of the Art and the SWITCH Approach

Zhiming Zhao, Paul Martin, Junchao Wang, Ari Taal, Andrew Jones, Ian Taylor, Vlado Stankovski, Ignacio Garcia Vega, George Suciu, Alexandre Ulisses, Cees de Laat
2015 Procedia Computer Science  
Cloud environments can provide virtualized, elastic, controllable and high quality on-demand services for supporting complex distributed applications.  ...  SWITCH aims to improve the existing development and execution model of time critical applications by introducing a novel conceptual model-the application-infrastructure co-programming and control model-in  ...  Acknowledgements This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreements No 643963 (SWITCH project) and No 654182 (ENVRI PLUS project  ... 
doi:10.1016/j.procs.2015.09.220 fatcat:t7pn6ag3yzag7n4lgqrzmmzkbe

SAGA BigJob: An Extensible and Interoperable Pilot-Job Abstraction for Distributed Applications and Systems

André Luckow, Lukasz Lacinski, Shantenu Jha
2010 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing  
We also demonstrate for the first time that we are aware of, the use of multiple Pilot-Job implementations to solve the same problem; specifically, we use the SAGA-based Pilot-Job on high-end resources  ...  Importantly both are invoked via the same interface without changes at the development or deployment level, but only an execution (run-time) decision.  ...  SJ acknowledges the e-Science Institute, Edinburgh for supporting the research theme, "Distributed Programming Abstractions" and theme members for shaping many important ideas.  ... 
doi:10.1109/ccgrid.2010.91 dblp:conf/ccgrid/LuckowLJ10 fatcat:qpkcyynunbabxmbfrkzc74y4da

Author Index

2008 2008 IEEE International Symposium on Parallel and Distributed Processing  
All-Pairs: An Abstraction for Data-Intensive Cloud Computing Forsell, Martti On the Performance and Cost of Some PRAM Models on CMP Hardware Forster, Wolfgang Automated Generation of Explicit Connectors  ...  Scheduling Reconfiguration at Runtime on the TRIPS Processor Thain, Douglas All-Pairs: An Abstraction for Data-Intensive Cloud Computing Data Mining on the Grid for the Grid Qthreads: An API for Programming  ... 
doi:10.1109/ipdps.2008.4536576 fatcat:7unikf5ywjhjtdd6xtrmcom3gq

Autonomic Management of Application Workflows on Hybrid Computing Infrastructure

Hyunjoo Kim, Yaakoub el-Khamra, Ivan Rodero, Shantenu Jha, Manish Parashar
2011 Scientific Programming  
In this paper, we present a programming and runtime framework that enables the autonomic management of complex application workflows on hybrid computing infrastructures.  ...  To demonstrate the operation of the framework and to evaluate its ability, we employ a workflow used to characterize an oil reservoir executing on a hybrid infrastructure composed of TeraGrid nodes and  ...  , by Department of Energy via grant numbers DE-FG02-06ER54857 DE-FG02-04ER46136 (UCoMS), by a grant from UT Battelle, and by an IBM Faculty Award, and was conducted as part of the NSF Center for Autonomic  ... 
doi:10.1155/2011/940242 fatcat:3zqirqk73vgsdlktcmbdfpxxze

An Execution Environment for Robust Parallel Computing on Volunteer PC Grids

Hien Nguyen, Eshwar Pedamallu, Jaspal Subhlok, Edgar Gabriel, Qian Wang, Margaret S. Cheung, David Anderson
2012 2012 41st International Conference on Parallel Processing  
A pool of distributed volunteer PCs presents an extremely hostile environment for execution of communicating parallel codes due to system and network heterogeneity, varying availability, and frequent failures  ...  The programming model is based on one-sided Put/Get calls to an abstract global shared space that works seamlessly with replicated processes.  ...  ACKNOWLEDGMENTS Partial support for this work was provided by the National Science Foundation's Computer Systems Research program under Award No. CNS-0834750 and MCB-0919974.  ... 
doi:10.1109/icpp.2012.18 dblp:conf/icpp/NguyenPSGWCA12 fatcat:arxeitmuebeiribdwyheumoncu

Mammoth

Xin Yang, Ze Yu, Min Li, Xiaolin Li
2013 Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference on - CAC '13  
In this paper, we propose Mammoth, an autonomic parallel data processing framework for scientific state-transition applications.  ...  Scientific computing is becoming increasingly data-intensive, and more high-impact discoveries are relying on efficient processing of big scientific data.  ...  In this paper, we present Mammoth, an autonomic parallel data processing framework for state-transition applications.  ... 
doi:10.1145/2494621.2494633 dblp:conf/cac/YangYLL13 fatcat:lynvml3yvfcejpxixqy7vanxvy

Federating Advanced Cyberinfrastructures with Autonomic Capabilities [chapter]

Javier Diaz-Montes, Ivan Rodero, Mengsong Zou, Manish Parashar
2014 Cloud Computing for Data-Intensive Applications  
Clouds provide on-demand access to computing utilities, an abstraction of unlimited computing resources, and support for ondemand scale up, scale down and scale out.  ...  We demonstrate the effectiveness of the proposed framework and autonomic mechanisms through the discussion of an experimental evaluation of illustrative use case application scenarios, and from these experiences  ...  Completion time for the federated scenario was obtained with real executions while for sequential and local cluster scenarios completion time is an estimation based on the actual execution of the subset  ... 
doi:10.1007/978-1-4939-1905-5_9 fatcat:eyuo5q37enaofehsubefabd7ky

GPU PaaS Computation Model in Aneka Cloud Computing Environment [article]

Shashikant Ilager, Rajeev Wankar, Raghavendra Kune, Rajkumar Buyya
2018 arXiv   pre-print
However, the lack of programming models and frameworks to develop cloud-native applications in a seamless manner to utilize both CPU and GPU resources in the cloud has become a bottleneck for rapid application  ...  become inadequate to process an enormous volume of data and the complex application logic for extracting intrinsic information.  ...  languages like MPI and data processing frameworks like Spark and SparkGPU [15] is an extension of the in-memory MapReduce framework Spark for GPU.  ... 
arXiv:1808.06332v1 fatcat:6jyfwkjhozg55c4nfrjbctmlpi

HPC Cloud for Scientific and Business Applications

Marco A. S. Netto, Rodrigo N. Calheiros, Eduardo R. Rodrigues, Renato L. F. Cunha, Rajkumar Buyya
2018 ACM Computing Surveys  
High Performance Computing (HPC) clouds are becoming an alternative to on-premise clusters for executing scientific applications and business analytics services.  ...  Most research efforts in HPC cloud aim to understand the cost-benefit of moving resource-intensive applications from on-premise environments to public cloud platforms.  ...  ACKNOWLEDGMENTS We thank the anonymous reviewers for their helpful comments in the preparation of this article. This work has been partially supported by FINEP/MCTI under grant no. 03.14.0062.00.  ... 
doi:10.1145/3150224 fatcat:o76lya7e2nb2tdom54oshgd5qe

Impact of virtual machine granularity on cloud computing workloads performance

Ping Wang, Wei Huang, Carlos A. Varela
2010 2010 11th IEEE/ACM International Conference on Grid Computing  
This paper studies the impact of VM granularity on workload performance in cloud computing environments.  ...  On an 8-CPU machine, the performance obtained from utilizing 8VMs is more than 4 times higher than that given by 4 or 16 VMs for HPL of problem size 4096; whereas on two machines with a total of 12 CPUs  ...  ACKNOWLEDGMENT We would like to thank Jonathan Chen and Steven Lindsey for the deployment and maintenance of the Xen virtual layer in our Rensselaer Cloud Computing Environment.  ... 
doi:10.1109/grid.2010.5698018 dblp:conf/grid/WangHV10 fatcat:p7wz3xdbnfdfjcw6sc6andjcye

Federated Computing for the Masses--Aggregating Resources to Tackle Large-Scale Engineering Problems

Javier Diaz-Montes, Yu Xie, Ivan Rodero, Jaroslaw Zola, Baskar Ganapathysubramanian, Manish Parashar
2014 Computing in science & engineering (Print)  
An exploration of the use of aggregated high-performance computing resources to solve large-scale engineering problems shows that it's possible to build a computational federation that's easy for users  ...  The fusion of federated computing and real-life engineering problems is brought to the average user by providing relevant middleware.  ...  We thank the SciCom group at the Universidad de Castilla-la Mancha, Spain, for providing access to Hermes; and the Distributed Computing research group at the Institute of High-Performance Computing, Singapore  ... 
doi:10.1109/mcse.2013.134 fatcat:rtzqe2eb5fcsjpgqpeqyzmy6n4
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