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Готові списки джерел за темами / Distributed computing and systems software

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Добірка наукової літератури з теми "Distributed computing and systems software"

Автор: Grafiati

Опубліковано: 10 січня 2023

Оновлено: 28 січня 2023

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Статті в журналах з теми "Distributed computing and systems software"

1

Boffey, T. B. "Location of Software in Distributed Computing Systems." Journal of the Operational Research Society 40, no. 10 (October 1989): 863. http://dx.doi.org/10.2307/2583395.

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Boffey, T. B. "Location of Software in Distributed Computing Systems." Journal of the Operational Research Society 40, no. 10 (October 1989): 863–70. http://dx.doi.org/10.1057/jors.1989.154.

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3

Yau, Stephen S., Xiaoping Jia, and Doo-Hwan Bae. "Software design methods for distributed computing systems." Computer Communications 15, no. 4 (May 1992): 213–24. http://dx.doi.org/10.1016/0140-3664(92)90104-m.

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4

Lundstrom, S. F., and E. E. Swartzlander. "Foreword Advances in Distributed Computing Systems." IEEE Transactions on Software Engineering SE-11, no. 10 (October 1985): 1092–96. http://dx.doi.org/10.1109/tse.1985.231856.

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5

Fatoohi, R. A. "Performance evaluation of communication software systems for distributed computing." Distributed Systems Engineering 4, no. 3 (September 1997): 169–75. http://dx.doi.org/10.1088/0967-1846/4/3/006.

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6

Wong, Kenneth F., and Mark Franklin. "Checkpointing in Distributed Computing Systems." Journal of Parallel and Distributed Computing 35, no. 1 (May 1996): 67–75. http://dx.doi.org/10.1006/jpdc.1996.0069.

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7

Denning, Peter J. "Systems abstractions." Communications of the ACM 65, no. 4 (April 2022): 22–24. http://dx.doi.org/10.1145/3517218.

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Kulik, Lars. "Mobile Computing Systems Programming: A Graduate Distributed Computing Course." IEEE Distributed Systems Online 8, no. 5 (May 2007): 4. http://dx.doi.org/10.1109/mdso.2007.27.

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9

Morganti, M. "Communications in distributed fault-tolerant computing systems." Journal of Systems and Software 6, no. 1-2 (May 1986): 213–16. http://dx.doi.org/10.1016/0164-1212(86)90042-7.

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10

Kim, Tai-hoon, and Wai-chi Fang. "Special section: Grid/distributed computing systems security." Future Generation Computer Systems 25, no. 3 (March 2009): 351. http://dx.doi.org/10.1016/j.future.2008.10.001.

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Дисертації з теми "Distributed computing and systems software"

1

Mellor, Paul Vincent. "An adaptation of Modula-2 for distributed computing systems." Thesis, University of Hull, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327802.

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2

Tarafdar, Ashis. "Software fault tolerance in distributed systems using controlled re-execution /." Digital version accessible at:, 2000. http://wwwlib.umi.com/cr/utexas/main.

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Tilevich, Eli. "Software Tools for Separating Distribution Concerns." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7518.

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With the advent of the Internet, distributed programming has become a necessity for the majority of application domains. Nevertheless, programming distributed systems remains a delicate and complex task. This dissertation explores separating distribution concerns, the process of transforming a centralized monolithic program into a distributed one. This research develops algorithms, techniques, and tools for separating distribution concerns and evaluates the applicability of the developed artifacts by identifying the distribution concerns that they separate and the common architectural characteristics of the centralized programs that they transform successfully. The thesis of this research is that software tools working with standard mainstream languages, systems software, and virtual machines can effectively and efficiently separate distribution concerns from application logic for object-oriented programs that use multiple distinct sets of resources. Among the specific technical contributions of this dissertation are (1) a general algorithm for call-by-copy-restore semantics in remote procedure calls for linked data structures, (2) an analysis heuristic that determines which application objects get passed to which parts of native (i.e., platform-specific) code in the language runtime system for platform-independent binary code applications, (3) a technique for injecting code in such applications that will convert objects to the right representation so that they can be accessed correctly inside both application and native code, (4) an approach to maintaining the Java centralized concurrency and synchronization semantics over remote procedure calls efficiently, and (5) an approach to enabling the execution of legacy Java code remotely from a web browser. The technical contributions of this dissertation have been realized in three software tools for separating distribution concerns: NRMI, middleware with copy-restore semantics; GOTECH, a program generator for distribution; and J-Orchestra, an automatic partitioning system. This dissertation presents several case studies of successfully applying the developed tools to third-party programs.

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Singh, Neeta S. "An automatic code generation tool for partitioned software in distributed computing." [Tampa, Fla.] : University of South Florida, 2005. http://purl.fcla.edu/fcla/etd/SFE0001129.

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Wang, Koping. "Spider II: A component-based distributed computing system." CSUSB ScholarWorks, 2001. https://scholarworks.lib.csusb.edu/etd-project/1874.

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Spider II system is the second version implementation of the Spider project. This system is the first distributed computation research project in the Department of Computer Science at CSUSB. Spider II is a distributed virtual machine on top of the UNIX or LINUX operating system. Spider II features multi-tasking, load balancing and fault tolerance, which optimize the performance and stability of the system.

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Okonoboh, Matthias Aifuobhokhan, and Sudhakar Tekkali. "Real-Time Software Vulnerabilities in Cloud Computing : Challenges and Mitigation Techniques." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2645.

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Context: Cloud computing is rapidly emerging in the area of distributed computing. In the meantime, many organizations also attributed the technology to be associated with several business risks which are yet to be resolved. These challenges include lack of adequate security, privacy and legal issues, resource allocation, control over data, system integrity, risk assessment, software vulnerabilities and so on which all have compromising effect in cloud environment. Organizations based their worried on how to develop adequate mitigation strategies for effective control measures and to balancing common expectation between cloud providers and cloud users. However, many researches tend to focus on cloud computing adoption and implementation and with less attention to vulnerabilities and attacks in cloud computing. This paper gives an overview of common challenges and mitigation techniques or practices, describes general security issues and identifies future requirements for security research in cloud computing, given the current trend and industrial practices. Objectives: We identified common challenges and linked them with some compromising attributes in cloud as well as mitigation techniques and their impacts in cloud practices applicable in cloud computing. We also identified frameworks we consider relevant for identifying threats due to vulnerabilities based on information from the reviewed literatures and findings. Methods: We conducted a systematic literature review (SLR) specifically to identify empirical studies focus on challenges and mitigation techniques and to identify mitigation practices in addressing software vulnerabilities and attacks in cloud computing. Studies were selected based on the inclusion/exclusion criteria we defined in the SLR process. We search through four databases which include IEEE Xplore, ACM Digital Library, SpringerLinks and SciencDirect. We limited our search to papers published from 2001 to 2010. In additional, we then used the collected data and knowledge from finding after the SLR, to design a questionnaire which was used to conduct industrial survey which also identifies cloud computing challenges and mitigation practices persistent in industry settings. Results: Based on the SLR a total of 27 challenges and 20 mitigation techniques were identified. We further identified 7 frameworks we considered relevant for mitigating the prevalence real-time software vulnerabilities and attacks in the cloud. The identified challenges and mitigation practices were linked to compromised cloud attributes and the way mitigations practices affects cloud computing, respectively. Furthermore, 5 and 3 additional challenges and suggested mitigation practices were identified in the survey. Conclusion: This study has identified common challenges and mitigation techniques, as well as frameworks practices relevant for mitigating real-time software vulnerabilities and attacks in cloud computing. We cannot make claim on exhaustive identification of challenges and mitigation practices associated with cloud computing. We acknowledge the fact that our findings might not be sufficient to generalize the effect of the different service models which include SaaS, IaaS and PaaS, and also true for the different deployment models such as private, public, community and hybrid. However, this study we assist both cloud provider and cloud customers on the security, privacy, integrity and other related issues and useful in the part of identifying further research area that can help in enhancing security, privacy, resource allocation and maintain integrity in the cloud environment.
Kungsmarksvagen 67 SE-371 44 Karlskrona Sweden Tel: 0737159290

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Darling, James Campbell Charles. "The application of distributed and mobile computing techniques to advanced simulation and virtual reality systems." Thesis, University of Surrey, 1998. http://epubs.surrey.ac.uk/843917/.

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Анотація:

Current technologies for creating distributed simulations or virtual environments are too limited in terms of scalability and flexibility, particularly in the areas of network saturation, distribution of VR scenes, and co-ordination of large systems of active objects. This thesis proposes the use of mobile and distributed computing technology to alleviate some of these limitations. A study of contemporary technologies for distributed simulation and networked virtual environments has been made, examining the benefits and drawbacks of different techniques. The main theory that has been investigated is that processing of a global simulation space should be spread over a network of computers, the principle of locality cutting the network bandwidth required. Using a prototype language for distributed graph processing, which fully supports mobile programming, experimental systems have been developed to demonstrate the use of distributed processing in creating large-scale virtual environments. The working examples created show that the ideas proposed for distribution of interactive virtual environments are valid, and that mobile programming techniques provide a new direction of development for the field of simulation. A more detailed summary of the work is given in Appendix D. Five publications to date (shown overleaf) have resulted from my involvement in the work, and a number of others have resulted from the overall project.

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8

Lillethun, David. "ssIoTa: A system software framework for the internet of things." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53531.

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Sensors are widely deployed in our environment, and their number is increasing rapidly. In the near future, billions of devices will all be connected to each other, creating an Internet of Things. Furthermore, computational intelligence is needed to make applications involving these devices truly exciting. In IoT, however, the vast amounts of data will not be statically prepared for batch processing, but rather continually produced and streamed live to data consumers and intelligent algorithms. We refer to applications that perform live analysis on live data streams, bringing intelligence to IoT, as the Analysis of Things. However, the Analysis of Things also comes with a new set of challenges. The data sources are not collected in a single, centralized location, but rather distributed widely across the environment. AoT applications need to be able to access (consume, produce, and share with each other) this data in a way that is natural considering its live streaming nature. The data transport mechanism must also allow easy access to sensors, actuators, and analysis results. Furthermore, analysis applications require computational resources on which to run. We claim that system support for AoT can reduce the complexity of developing and executing such applications. To address this, we make the following contributions: - A framework for systems support of Live Streaming Analysis in the Internet of Things, which we refer to as the Analysis of Things (AoT), including a set of requirements for system design - A system implementation that validates the framework by supporting Analysis of Things applications at a local scale, and a design for a federated system that supports AoT on a wide geographical scale - An empirical system evaluation that validates the system design and implementation, including simulation experiments across a wide-area distributed system We present five broad requirements for the Analysis of Things and discuss one set of specific system support features that can satisfy these requirements. We have implemented a system, called \textsubscript{SS}IoTa, that implements these features and supports AoT applications running on local resources. The programming model for the system allows applications to be specified simply as operator graphs, by connecting operator inputs to operator outputs and sensor streams. Operators are code components that run arbitrary continuous analysis algorithms on streaming data. By conforming to a provided interface, operators may be developed that can be composed into operator graphs and executed by the system. The system consists of an Execution Environment, in which a Resource Manager manages the available computational resources and the applications running on them, a Stream Registry, in which available data streams can be registered so that they may be discovered and used by applications, and an Operator Store, which serves as a repository for operator code so that components can be shared and reused. Experimental results for the system implementation validate its performance. Many applications are also widely distributed across a geographic area. To support such applications, \textsubscript{SS}IoTa must be able to run them on infrastructure resources that are also distributed widely. We have designed a system that does so by federating each of the three system components: Operator Store, Stream Registry, and Resource Manager. The Operator Store is distributed using a distributed hast table (DHT), however since temporal locality can be expected and data churn is low, caching may be employed to further improve performance. Since sensors exist at particular locations in physical space, queries on the Stream Registry will be based on location. We also introduce the concept of geographical locality. Therefore, range queries in two dimensions must be supported by the federated Stream Registry, while taking advantage of geographical locality for improved average-case performance. To accomplish these goals, we present a design sketch for SkipCAN, a modification of the SkipNet and Content Addressable Network DHTs. Finally, the fundamental issue in the federated Resource Manager is how to distributed the operators of multiple applications across the geographically distributed sites where computational resources can execute them. To address this, we introduce DistAl, a fully distributed algorithm that assigns operators to sites. DistAl also respects the system resource constraints and application preferences for performance and quality of results (QoR), using application-specific utility functions to allow applications to express their preferences. DistAl is validated by simulation results.

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Eise, Justin. "A Secure Architecture for Distributed Control of Turbine Engine Systems." University of Dayton / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1552556049435026.

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Li, Fangxing. "A Software Framework for Advanced Power System Analysis: Case Studies in Networks, Distributed Generation, and Distributed Computation." Diss., Virginia Tech, 2001. http://hdl.handle.net/10919/28124.

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Анотація:

This work presents a software framework for power system analysis, PowerFrame. It is composed of four layers. This four-layer architecture is designed for extensibility and reusability so that more complex power system problems can be tackled within the architecture. In the context of PowerFrame, this work explores complex power system problems. Included in these problems are parallel-placed cables with multiple conductors, and distributed resources operating in unbalanced power distribution systems. Mathematical models are derived. Errors between more exact models and conventional approaches are presented. PowerFrame is also designed to handle distributed computation for intensive power system calculations on multiple, networked computers. Distributed power flow algorithms are presented. Tests on Ethernet LANs show the feasibility of distributed computation under current computer network bandwidth.
Ph. D.

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Книги з теми "Distributed computing and systems software"

1

Kacsuk, Peter. Distributed and Parallel Systems: From Instruction Parallelism to Cluster Computing. Boston, MA: Springer US, 2000.

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2

Veríssimo, Paulo. Distributed systems for system architects. Boston: Kluwer Academic, 2001.

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3

1963-, Rodrigues Luís, ed. Distributed systems for system architects. Boston: Kluwer Academic, 2001.

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4

Birman, Kenneth P. The ISIS project: Fault-tolerance in large distributed systems. [Washington, D.C: National Aeronautics and Space Administration, 1990.

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5

Nagamalai, Dhinaharan. Advances in Parallel Distributed Computing: First International Conference on Parallel, Distributed Computing Technologies and Applications, PDCTA 2011, Tirunelveli, India, September 23-25, 2011. Proceedings. Berlin, Heidelberg: Springer-Verlag GmbH Berlin Heidelberg, 2011.

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6

Fred, Aminzadeh, and Jamshidi Mohammad, eds. Soft computing: Fuzzy logic, neural networks, and distributed artificial intelligence. Englewood Cliffs, N.J: PTR Prentice Hall, 1994.

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7

Li, Weidong. Cloud Manufacturing: Distributed Computing Technologies for Global and Sustainable Manufacturing. London: Springer London, 2013.

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8

Hassanien, Aboul Ella. Pervasive computing: Innovations in intelligent multimedia and applications. Dordrecht: Springer, 2009.

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9

Lynch, Nancy A. Distributed Computing: 24th International Symposium, DISC 2010, Cambridge, MA, USA, September 13-15, 2010. Proceedings. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.

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10

Shestopaloff, Yuri K. Design and implementation of reliable and high performance software systems, including distributed and parallel computing and interprocess communication designs. Toronto: AKVY Press, 2011.

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Частини книг з теми "Distributed computing and systems software"

1

Solomon, Andrew. "Distributed Computing for Conglomerate Mathematical Systems." In Algebra, Geometry and Software Systems, 309–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05148-1_17.

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2

Satoh, Ichiro. "Easy Development of Software for IoT Systems." In Intelligent Distributed Computing XIII, 56–61. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32258-8_7.

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3

Abushagur, Abdulfatah A. G., Tan Saw Chin, Rizaludin Kaspin, Nazaruddin Omar, and Ahmad Tajuddin Samsudin. "Hybrid Software-Defined Network Monitoring." In Internet and Distributed Computing Systems, 234–47. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34914-1_23.

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4

Randell, B. "Recursively Structured Fault-Tolerant Distributed Computing Systems." In Software System Design Methods, 35–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-82846-1_2.

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5

Ganzha, Maria, Mariusz Marek Mesjasz, Marcin Paprzycki, and Moussa Ouedraogo. "Inserting “Brains” into Software Agents – Preliminary Considerations." In Internet and Distributed Computing Systems, 3–14. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11692-1_1.

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6

Bergenti, Federico, Agostino Poggi, and Michele Tomaiuolo. "An Actor Based Software Framework for Scalable Applications." In Internet and Distributed Computing Systems, 26–35. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11692-1_3.

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7

Sun, Jingtao, and Ichiro Satoh. "Dynamic Deployment of Software Components for Self-adaptive Distributed Systems." In Internet and Distributed Computing Systems, 194–203. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11692-1_17.

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8

Haur, Ng Kean, and Tan Saw Chin. "Time-Sensitive-Aware Scheduling Traffic (TSA-ST) Algorithm in Software-Defined Networking." In Internet and Distributed Computing Systems, 248–59. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34914-1_24.

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9

Jo, Jun, Zahra Jadidi, and Bela Stantic. "A Drone-Based Building Inspection System Using Software-Agents." In Intelligent Distributed Computing XI, 115–21. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66379-1_11.

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10

Parashar, Manish, Salim Hariri, Tomasz Haupt, and Geoffrey Fox. "A Study of Software Development for High Performance Computing." In Programming Environments for Massively Parallel Distributed Systems, 107–16. Basel: Birkhäuser Basel, 1994. http://dx.doi.org/10.1007/978-3-0348-8534-8_11.

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Тези доповідей конференцій з теми "Distributed computing and systems software"

1

Musuvathi, Madanlal. "Session details: Distributed computing." In SPLASH '14: Conference on Systems, Programming, and Applications: Software for Humanity. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/3255720.

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2

Yoo, Wook-Sung, and Ravindra Kollapu. "Software Project Comparison: Conventional Development Approach versus Cloud Computing." In Parallel and Distributed Computing and Systems. Calgary,AB,Canada: ACTAPRESS, 2012. http://dx.doi.org/10.2316/p.2012.790-055.

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"A DISTRIBUTED SOFTWARE ENVIRONMENT FOR COLLABORATIVE WEB COMPUTING." In 10th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001720902630266.

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4

López-Martín, Cuauhtémoc, Arturo Chavoya, and María E. Meda-Campaña. "Software Size Estimation of Individual Projects." In Parallel and Distributed Computing and Systems. Calgary,AB,Canada: ACTAPRESS, 2012. http://dx.doi.org/10.2316/p.2012.790-014.

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5

Gao, G. R., K. B. Theobald, Ziang Hu, Haiping Wu, Jizhu Lu, T. L. Sterling, K. Pingali, P. Stodghill, R. Stevens, and M. Hereld. "Next generation system software for future high-end computing systems." In Proceedings 16th International Parallel and Distributed Processing Symposium. IPDPS 2002. IEEE, 2002. http://dx.doi.org/10.1109/ipdps.2002.1016578.

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Hamou-Lhadj, Wahab. "Observability of Software Computing Systems: Challenges and Opportunities." In 2022 3rd International Conference on Embedded & Distributed Systems (EDiS). IEEE, 2022. http://dx.doi.org/10.1109/edis57230.2022.9996502.

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McGregor, John D., and J. Yates Monteith. "A Three Viewpoint Model for Software Ecosystem." In Parallel and Distributed Computing and Systems. Calgary,AB,Canada: ACTAPRESS, 2012. http://dx.doi.org/10.2316/p.2012.790-023.

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Chia-Chu Chiang. "Leveraging software reengineering systems for heterogeneous distributed computing environments." In Proceedings International Conference on Software Maintenance. IEEE Comput. Soc. Press, 2000. http://dx.doi.org/10.1109/icsm.2000.883057.

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Lee, Rubao, Hao Wang, and Xiaodong Zhang. "Software-Defined Software: A Perspective of Machine Learning-Based Software Production." In 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS). IEEE, 2018. http://dx.doi.org/10.1109/icdcs.2018.00126.

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Zellmann, Stefan, and Ulrich Lang. "A Software Architecture for Distributed Volume Rendering on HPC Systems." In Parallel and Distributed Computing and Systems. Calgary,AB,Canada: ACTAPRESS, 2012. http://dx.doi.org/10.2316/p.2012.789-038.

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Звіти організацій з теми "Distributed computing and systems software"

1

Qiu, Qinru. Low Power Computing in Distributed Systems. Fort Belvoir, VA: Defense Technical Information Center, April 2006. http://dx.doi.org/10.21236/ada450272.

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2

Jones, Stephen T., Kasimir G. Gabert, and Thomas D. Tarman. Evaluating Emulation-based Models of Distributed Computing Systems. Office of Scientific and Technical Information (OSTI), August 2017. http://dx.doi.org/10.2172/1398865.

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3

LeBlanc, Richard J. Fault Tolerant Software Technology for Distributed Computer Systems. Fort Belvoir, VA: Defense Technical Information Center, March 1989. http://dx.doi.org/10.21236/ada208329.

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4

Wang, Yi-Min, Yennun Huang, and W. K. Fuchs. Progressive Retry for Software Error Recovery in Distributed Systems. Fort Belvoir, VA: Defense Technical Information Center, January 1993. http://dx.doi.org/10.21236/ada260075.

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5

Bajura, Richard, and Ali Feliachi. Integrated Computing, Communication, and Distributed Control of Deregulated Electric Power Systems. Office of Scientific and Technical Information (OSTI), September 2008. http://dx.doi.org/10.2172/938476.

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6

Surka, Derek M., Margarita C. Brito, and Christopher G. Harvey. The Real-Time ObjectAgent Software Architecture for Distributed Satellite Systems. Fort Belvoir, VA: Defense Technical Information Center, January 2001. http://dx.doi.org/10.21236/ada451712.

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7

Boutigny, Dominique. Use of the European Data Grid Software in the Framework of the BABAR Distributed Computing Model. Office of Scientific and Technical Information (OSTI), June 2003. http://dx.doi.org/10.2172/813350.

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8

Hoek, Andre van der, Dennis Heimbigner, and Alexander L. Wolf. Software Architecture, Configuration Management, and Configurable Distributed Systems: A Menage a Trois. Fort Belvoir, VA: Defense Technical Information Center, January 1998. http://dx.doi.org/10.21236/ada452470.

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9

Kim, J., J. Choi, and I. Lee. Software Tools for Formal Specification and Verification of Distributed Real-Time Systems. Fort Belvoir, VA: Defense Technical Information Center, July 1994. http://dx.doi.org/10.21236/ada283477.

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10

Nooshabadi, Saeid. ADAPTable Sensor Systems Phase 2. Topic 2: Reusable Core Software. Distributed Synchronization Software for the Sensor Nodes. Fort Belvoir, VA: Defense Technical Information Center, March 2015. http://dx.doi.org/10.21236/ada619961.

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