An Architecture for Cost Optimization in the Processing of Big Geospatial Data in Public Cloud Providers

Author(s):  
Joao Bachiega ◽  
Marco Antonio Sousa Reis ◽  
Maristela Holanda ◽  
Aleteia P. F. Araujo
2011 ◽  
Vol 15 (2) ◽  
pp. 50-53 ◽  
Author(s):  
Ang Li ◽  
Xiaowei Yang ◽  
Srikanth Kandula ◽  
Ming Zhang
Keyword(s):  

Author(s):  
Sanjay P. Ahuja ◽  
Thomas F. Furman ◽  
Kerwin E. Roslie ◽  
Jared T. Wheeler

There are several public cloud providers that provide service across different cloud models such as IaaS, PaaS, and SaaS. End users require an objective means to assess the performance of the services being offered by the various cloud providers. Benchmarks have typically been used to evaluate the performance of various systems and can play a vital role in assessing performance of the different public cloud platforms in a vendor neutral manner. Amazon's EC2 Service is one of the leading public cloud service providers and offers many different levels of service. The research in this chapter focuses on system level benchmarks and looks into evaluating the memory, CPU, and I/O performance of two different tiers of hardware offered through Amazon's EC2. Using three distinct types of system benchmarks, the performance of the micro spot instance and the M1 small instance are measured and compared. In order to examine the performance and scalability of the hardware, the virtual machines are set up in a cluster formation ranging from two to eight nodes. The results show that the scalability of the cloud is achieved by increasing resources when applicable. This chapter also looks at the economic model and other cloud services offered by Amazon's EC2, Microsoft's Azure, and Google's App Engine.


2021 ◽  
pp. 63-75
Author(s):  
Darshan Baid ◽  
Pallavi Murghai Goel ◽  
Pragya Bhardwaj ◽  
Astha Singh ◽  
Vishu Tyagi

Author(s):  
Kevin Foltz ◽  
William R. Simpson

The Enterprise Level Security (ELS) model focuses on designing secure, distributed web-based systems starting from basic principles. One area of ELS that poses significant design challenges is protection of web server private keys in a public cloud. Web server private keys are of critical importance because they control who can act as the server to represent the enterprise. This includes responding to requests as well as making requests within the enterprise and to its partners. The cloud provider is not part of this trusted network of servers, so the cloud provider should not have access to server private keys. However, current cloud systems are designed to allow cloud providers free access to server private keys. This paper proposes design solutions to securely manage private keys in a public cloud. An examination of commonly used approaches demonstrates the ease with which cloud providers can currently control server private keys. Two designs are proposed to prevent cloud provider access to keys, and their implementation issues are discussed.


Author(s):  
Karolina Marzantowicz ◽  
Łukasz Paciorkowski

Should you turn to a public or private cloud solution? Discussions prizing the first or the second option are endless. Public cloud means flexibility, unlimited scalability, frictionless consumption and less worry for your CIO. On the other hand, private cloud gives you full control over the environment and keeps your data close to you, preferably under your nose—or at least within the borders of your country. Public cloud is relatively cheap, while a private cloud might get pricey. But what if neither of those two options fit your needs? You may not trust public cloud providers, but at the same time you are searching for the way to cut through complexity of the private cloud. The answer to your needs might be a community cloud.


Author(s):  
Aditi Rajan Khot

Cloud computing is an accepted widely, emerging paradigm for its ‘pay as you go’ approach, massive economies of scale, and global in minutes concept. Over the years, different cloud providers have emerged with various services to meet the requirements of the end-user. Because of an increase in the diversity of services, the complexity increases. Customers cannot decide the optimal service to fulfill their requirements. This paper provides a comparative analysis of services of top public cloud providers namely, AWS, GCP, Oracle, and Microsoft Azure. Public cloud-provider strives to be efficient in every technological aspect, though some are better for certain tasks than others. This paper, as a solution, introduces the concept of Multi-Cloud computing, to leverage the benefits of the different cloud providers and to maximize their utility in single network architecture.


2014 ◽  
Vol 631-632 ◽  
pp. 196-199
Author(s):  
Cong Cheng ◽  
Ai Qing Chen

The CIOs of many SMEs take a wait-and-see attitude towards IaaS public cloud. Their greatest concern is whether IaaS public cloud access can really reduce cost. This paper analyzes and compares the cost of self-built server of SMEs and accessing three public cloud providers, and factors except for price that should be taken into account in the hope of providing better reference for informatization construction of SMEs.


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