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  Browse All Reviews > Computer Systems Organization (C) > Computer-Communication Networks (C.2) > Distributed Systems (C.2.4) > Cloud Computing (C.2.4...)  
 
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  1-10 of 174 Reviews about "Cloud Computing (C.2.4...)": Date Reviewed
  Requirements engineering for service and cloud computing
Ramachandran M., Mahmood Z.,  Springer International Publishing, New York, NY, 2017. 320 pp. Type: Book (978-3-319513-09-6)

This is an edited collection of papers, authored by experts from academia and industry, on the progress and update of requirements handling specific to the subfields of cloud computing and service. Due to the fact that cloud computing and services...

Nov 1 2017
  Performance estimation of fault-prone infrastructure-as-a-service cloud computing systems and their cost-aware optimal performance determination
Guo K., Yu K., Yang D., Wu L., Wang Y.  Mobile Networks and Applications 22(4): 662-673, 2017. Type: Article

Cloud computing has gradually spread throughout the global computing environment; speed, reliability, quality of service, security, and standardization of services are the main issues in its ecosystem. To evaluate the performance of the infrastruc...

Oct 18 2017
   Fog computing for sustainable smart cities: a survey
Perera C., Qin Y., Estrella J., Reiff-Marganiec S., Vasilakos A.  ACM Computing Surveys 50(3): 1-43, 2017. Type: Article

Fog computing attempts to bring the computational capabilities of clouds closer to the variety of devices that make up the Internet of Things (IoT) by creating local mini-clouds. It appears to be a very promising way to support large clusters of s...

Oct 5 2017
  Hybrid method for minimizing service delay in edge cloud computing through VM migration and transmission power control
Rodrigues T., Suto K., Nishiyama H., Kato N.  IEEE Transactions on Computers 66(5): 810-819, 2017. Type: Article

One of the most important requirements for an edge/cloud computing system is task latency, especially for some specific applications such as security alarm services and actuator feedback control in the Industrial Internet of Things (IIoT)....

Sep 19 2017
  Improving resource efficiency at scale with Heracles
Lo D., Cheng L., Govindaraju R., Ranganathan P., Kozyrakis C.  ACM Transactions on Computer Systems 34(2): Article No. 6, 2016. Type: Article

Most of the paper’s authors are connected to Google, and their work centers on Google workload performance improvement. They’ve developed runtime controller software, Heracles, that uses real-time feedback and static modeling rules to ...

Sep 6 2017
  Cloudy, foggy and misty Internet of Things
Corsaro A.  ICPE 2016 (Proceedings of the 7th ACM/SPEC International Conference on Performance Engineering, Delft, the Netherlands,  Mar 12-16, 2016) 261-261, 2016. Type: Proceedings

[Editor’s note: Because this proceedings paper is simply an abstract of a keynote, the reviewer based the review on Corsaro’s keynote slides, available here: https://www.slideshare.net/Angelo.Corsaro/the-cloudy-foggy-and-misty-inter...

Aug 25 2017
  A taxonomy and survey of cloud resource orchestration techniques
Weerasiri D., Barukh M., Benatallah B., Sheng Q., Ranjan R.  ACM Computing Surveys 50(2): 1-41, 2017. Type: Article

Cloud services provide computing resources (for example, infrastructure, platform, and software) as services. Utilizing these cloud resources requires a complex life cycle process that involves select, describe, configure, deploy, and manage steps...

Aug 9 2017
  A scalable data chunk similarity based compression approach for efficient big sensing data processing on cloud
Yang C., Chen J.  IEEE Transactions on Knowledge and Data Engineering 29(6): 1144-1157, 2017. Type: Article

Marrying sensors and innovative industries (for example, think aircraft engines instrumented for real-time preventive maintenance) leads to the creation of a huge time series of data samples. One appealing approach to efficiently managing this flo...

Jul 25 2017
  Big data science & analytics: a hands-on approach
Bahga A., Madisetti V.,  VPT, Johns Creek, GA, 2016. 542 pp. Type: Book (978-0-996025-54-6)

This book provides rich knowledge on big data analytics from theory to practical applications. Readers can get a sense of this from its subtitle. The book is organized in three parts....

Jun 20 2017
  A survey on resource scheduling in cloud computing: issues and challenges
Singh S., Chana I.  Journal of Grid Computing 14(2): 217-264, 2016. Type: Article, Reviews: (2 of 2)

This is one of the best survey papers I have ever come across. It provides a thorough review of resource scheduling algorithms (RSAs) with a particular focus on cloud computing. While the paper does not excel as a survey of RSAs, it does excel in ...

Jun 14 2017
 
 
 
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