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Providing Dependability and Resilience in the Cloud: Challenges and Opportunities [chapter]

Samuel Kounev, Philipp Reinecke, Fabian Brosig, Jeremy T. Bradley, Kaustubh Joshi, Vlastimil Babka, Anton Stefanek, Stephen Gilmore
2012 Resilience Assessment and Evaluation of Computing Systems  
In this chapter, we first discuss in detail the challenges and opportunities introduced by the Cloud Computing paradigm.  ...  However, these benefits come at the cost of increased system complexity and dynamicity posing new challenges in providing service dependability and resilience for applications running in a Cloud environment  ...  Challenges and Opportunities The increased complexity and dynamicity induced by Cloud Computing pose new challenges and opportunities in providing service dependability and resilience.  ... 
doi:10.1007/978-3-642-29032-9_4 fatcat:hlj3rotbgngatcgqteulxwokba

Digital buildings – Challenges and opportunities

Alastair Watson
2011 Advanced Engineering Informatics  
Taking a twenty year perspective, the challenges and the opportunities that digital buildings will present to the construction industry -and to its IT suppliers -are explored against the context of needing  ...  Current deployment is reviewed and the growing opportunity to better address previously identified problems (both process and structural) within the construction industry is considered.  ...  The IT Challenges Some key challenges It is evident that the construction industry will present its software vendors with business opportunities and some major challenges.  ... 
doi:10.1016/j.aei.2011.07.003 fatcat:z2ujjwemjndpbh6circ5cta4fa

Software Defined Radio: Challenges and Opportunities

Tore Ulversoy
2010 IEEE Communications Surveys and Tutorials  
Transceiver development challenges include size, weight and power issues such as the required computing capacity, but also SW architectural challenges such as waveform application portability.  ...  Software Defined Radio (SDR) may provide flexible, upgradeable and longer lifetime radio equipment for the military and for civilian wireless communications infrastructure.  ...  A closely related alternative architecture specification for SDR, and derived from the SCA, is OMG's "PIM and PSM for Software Radio Components Specification" [56] .  ... 
doi:10.1109/surv.2010.032910.00019 fatcat:mcqxgqq7dvfjvcmmjy2d7q2av4

Challenges and opportunities of ESL design automation

Zhiru Zhang, Deming Chen
2012 2012 IEEE 11th International Conference on Solid-State and Integrated Circuit Technology  
We shall discuss existing and potential solutions to these challenges and outline research opportunities and directions in the evolution of ESL design automation.  ...  This paper identifies a set of key challenges in ESL design automation with major focus on high-level synthesis (HLS).  ...  Modeling Challenges Some of the most widespread uses of ESL models and tools in industry today are for early embedded software development, architecture modeling, design space exploration, and rapid prototyping  ... 
doi:10.1109/icsict.2012.6467670 fatcat:6cium5rwsjhsteh46ip6bnbxjy

Some Future Software Engineering Opportunities and Challenges [chapter]

Barry Boehm
2010 The Future of Software Engineering  
Some of its challenges and opportunities are similar, such as the need to simultaneously achieve high levels of both agility and assurance.  ...  Others have emerged as increasingly important, such as the challenges of dealing with ultralarge volumes of data, with multicore chips, and with software as a service.  ...  Future Software Engineering Opportunities and Challenges Increasing emphasis on rapid development and adaptability The increasingly rapid pace of systems change discussed above translates into an increasing  ... 
doi:10.1007/978-3-642-15187-3_1 dblp:conf/birthday/Boehm10 fatcat:d5qadwobp5ht5d2vashd7cmxgy

Advanced analytics: opportunities and challenges

Ranjit Bose
2009 Industrial management & data systems  
The first part discusses a framework for BI using the data, text, and web mining technologies for advanced analytics; and the second part identifies and discusses the opportunities and challenges the business  ...  , issues and challenges learned from their practice.  ...  Not only each of these components must be integrated within the BI architecture, but must also be with the existing investments in hardware and software.  ... 
doi:10.1108/02635570910930073 fatcat:i6emgwkcxrcrhd6bql4ndirxue

Program synthesis: challenges and opportunities

Cristina David, Daniel Kroening
2017 Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences  
We provide an introduction to CEGIS-based techniques and then identify open challenges and discuss some promising directions. The paper is organized as follows.  ...  Such a satisfying model must map each of the second-order variables P to some function of the appropriate type and arity. Program synthesis generates programs that compute these functions.  ...  We thank Pascal Kesseli and Matt Lewis for their work on several applications of program synthesis. Their results were one of the inspiration points for this paper.  ... 
doi:10.1098/rsta.2015.0403 pmid:28871052 pmcid:PMC5597726 fatcat:lykahrlqpraxhkxc6tyby2cjni

Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey [article]

Arun Das, Paul Rad
2020 arXiv   pre-print
, interpretable, and self-explanatory deep learning models.  ...  However, the black-box nature of deep neural networks challenges its use in mission critical applications, raising ethical and judicial concerns inducing lack of trust.  ...  After describing the evaluation methods and software packages, we conclude our survey in Section VIII.  ... 
arXiv:2006.11371v2 fatcat:6eaz3rbaenflxchjdynmvwlc4i

Big Data: Challenges, Opportunities and Realities [article]

Abhay Bhadani, Dhanya Jothimani
2017 arXiv   pre-print
With the advent of Internet of Things (IoT) and Web 2.0 technologies, there has been a tremendous growth in the amount of data generated.  ...  This chapter presents an overview of big data analytics, its application, advantages, and limitations. Few research issues and future directions are presented in this chapter.  ...  (market, law, social norms and architecture), which can help in developing robust models that can handle big data and yet yield high prediction accuracy (Boyd and Crawford, 2011) .  ... 
arXiv:1705.04928v1 fatcat:5q4tsrfjbvcadmpq2knisjbp2a

Predictive Models in Software Engineering: Challenges and Opportunities [article]

Yanming Yang, Xin Xia, David Lo, Tingting Bi, John Grundy, Xiaohu Yang
2020 arXiv   pre-print
Based on our findings, we also propose a set of current challenges that still need to be addressed in future work and provide a proposed research road map for these opportunities.  ...  There have been a large number of primary studies that apply predictive models and that present well-preformed studies and well-desigeworks in various research domains, including software requirements,  ...  CHALLENGES AND OPPORTUNITIES A number of research challenges and opportunities relating to the use of predictive models in software engineering remain, requiring further investigation.  ... 
arXiv:2008.03656v1 fatcat:fe7ylphujfbobeo3g5yevniiei

Unmanned Air Systems: Challenge and Opportunity

Michael S. Francis
2012 Journal of Aircraft  
JOURNAL OF AIRCRAFT 2011 AIAA WRIGHT BROTHERS LECTURE Vol. 49, No. 6, November—December 2012 Unmanned Air Systems: Challenge and Opportunity Michael S.  ...  challenge.  ... 
doi:10.2514/1.c031425 fatcat:radctf6eube43bgdfvghche4fu

Software-Defined Vehicular Networking: Opportunities and Challenges

Nelson Cardona, Estefania Coronado, Steven Latre, Roberto Riggio, Johann M. Marquez-Barja
2020 IEEE Access  
RESEARCH CHALLENGES In this section, we identify and discuss a set of research challenges for 5G Software-Defined Vehicular Networks.  ...  In this architecture, the control plane is in charge of topology management as well as applying flow and power management model.  ...  In the period from 2018 to 2019, he worked as a Software Developer at the University of Antwerp.  ... 
doi:10.1109/access.2020.3042717 fatcat:qx4pamc4unhclgmbojbw2a2oey

Opportunistic Edge Computing: Concepts, opportunities and research challenges

Richard Olaniyan, Olamilekan Fadahunsi, Muthucumaru Maheswaran, Mohamed Faten Zhani
2018 Future generations computer systems  
It also highlights the key differences between the OEC computing models and the existing computing models and shed the light on early works on the topic.  ...  It finally summarizes key research directions pertaining to resource management in OEC environments.  ...  However, the self-scalability and the dynamic nature of OEC bring to the fore new challenges and research opportunities.  ... 
doi:10.1016/j.future.2018.07.040 fatcat:afbgvoq6evawrls2mx4aydobti

AutoML to Date and Beyond: Challenges and Opportunities [article]

Shubhra Kanti Karmaker Santu, Md. Mahadi Hassan, Micah J. Smith, Lei Xu, ChengXiang Zhai, Kalyan Veeramachaneni
2021 arXiv   pre-print
Finally, we lay out a roadmap for the future, pinpointing the research required to further automate the end-to-end machine learning pipeline and discussing important challenges that stand in the way of  ...  In this review article, we introduce a new classification system for AutoML systems, using a seven-tiered schematic to distinguish these systems based on their level of autonomy.  ...  CHALLENGES AND OPPORTUNITIES This section presents the unique challenges of developing a level 6 AutoML agent in terms of design and learning goals.  ... 
arXiv:2010.10777v4 fatcat:arixmky6erdvhnmboe2sfgbb7a

Challenges and Opportunities of Modularizing Textual Domain-Specific Languages

Christoph Rieger, Martin Westerkamp, Herbert Kuchen
2018 Proceedings of the 6th International Conference on Model-Driven Engineering and Software Development  
Challenges and Opportunities of Modularizing Textual Domain-Specific Languages.  ...  This raises questions regarding opportunities of DSL modularization for improving software quality and fostering language reuse -similar to challenges traditional programming languages face but further  ...  In the context of Model-Driven Software Development (MDSD) which tries to automate the process of software creation, this causes a frequent re-implementation of similar functionality.  ... 
doi:10.5220/0006601903870395 dblp:conf/modelsward/RiegerWK18 fatcat:abdlnwbva5f6vp7iqlovkbfozi
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