HEPCloud, a New Paradigm for HEP Facilities: CMS Amazon Web Services Investigation

Historically, high energy physics computing has been performed on large purpose-built computing systems. These began as single-site compute facilities, but have evolved into the distributed computing grids used today. Recently, there has been an exponential increase in the capacity and capability of commercial clouds. Cloud resources are highly virtualized and intended to be able to be flexibly deployed for a variety of computing tasks. There is a growing nterest among the cloud providers to demonstrate the capability to perform large-scale scientific computing. In this paper, we discuss results from the CMS experiment using the Fermilab HEPCloud facility, which utilized both local Fermilab resources and virtual machines in the Amazon Web Services Elastic Compute Cloud. We discuss the planning, technical challenges, and lessons learned involved in performing physics workflows on a large-scale set of virtualized resources. In addition, we will discuss the economics and operational efficiencies when executing workflows both in the cloud and on dedicated resources.Comment: 15 pages, 9 figure

Cloud Computing Economics: Democratization And Monetization Of Services

Cloud computing is a modality for providing computer services via the Internet, by incorporating ubiquitous access through a web browser for the execution of single-function applications, such as those available as office suites, and comprehensive enterprise line-of-business applications pieced together from components residing in varying Internet locations.  This paper covers the democratization and monetization of software services and uses cloud computing as the primary delivery vehicle.  Cloud computing represents a contextual shift in how computers are provisioned and accessed.  There is opportunity and value in cloud computing for providers, ISVs, and customers.  The subject is covered from an economic perspective for each of the groups

Price trends for cloud computing services

The landscape in the information technology (IT) sector is changing rapidly, and studying price trends for a newly developed IT services provides a great gateway to gauge these changes. Cloud computing—the on-demand delivery of computing resources and applications via the Internet—is rapidly expanding yet relatively little is know about trends in prices of cloud computing. For my senior economics thesis, I constructed quality-adjusted price indexes to quantify the rate of price change of Cloud Computing Services. I employ two hedonic regression methods as well as the matched model method and the results suggest that Cloud Computing Services experienced a sharp price decline from 2009-2015. My results also indicate that the price reduction trend of Cloud Computing Services is slightly sharper than that of Computing Products in general (hardware and software)

Analisis Uji Komparasi Customer Satisfaction Survey Dalam Penggunaan Google Cloud Platform (GCP) Menggunakan Metode Pieces Dan System Usability Scale

Cloud Computing technology makes a technology that is most often applied later in the future. Currently, cloud computing technology provides many types of services, including cost management services, data analysis, big data, storage, machine learning, big data, AI, IoT, and application development. Cloud computing technology has made a service and solution, both to increase reliability, reduce computing costs, to provide a great opportunity for the ICT industry to benefit more from cloud computing technology. Customer satisfaction is a level of feeling from someone after being able to compare the performance or results that are felt and obtained compared to their expectations or can be interpreted as a response to customer feedback in using cloud computing technology and an assessment of the good and bad of cloud computing technology which can be used as a reference or a benchmark for cloud computing developers to improve the performance of cloud computing technology that has been built. The level of customer satisfaction can be found using many model methods. In this study the level of satisfaction will be analyzed using the PIECES method and the System Usability Scale. In this study, researchers used two model methods and then carried out a comparative test of these methods. The PIECES variables are Performance, Information and data, Economics, Control and security, Efficiency and Service. The results of the study obtained an average value for each domain, namely the Performance domain with a value of 4.40 (Very Satisfied), Information and data with a value of 4.30 (Very Satisfied), Economics with a value of 4.33 (Very Satisfied), Control and security with a value of 4.28 (Very Satisfied), Efficiency with a value of 4.96 (Very Satisfied) and Service with a value of 4.00 (Satisfied). The recapitulation results for the average value for the entire domain level with a value of 4.37 (Very Satisfied). In the System Usability Scale method, a score of 82.08 is entered in the Acceptable category and grade A. With the comparative test results of the two methods, the satisfaction level of Google Cloud Platform customers is stated to be very satisfied and very good by the customers

Simple Pricing Schemes for the Cloud

The problem of pricing the cloud has attracted much recent attention due to the widespread use of cloud computing and cloud services. From a theoretical perspective, several mechanisms that provide strong efficiency or fairness guarantees and desirable incentive properties have been designed. However, these mechanisms often rely on a rigid model, with several parameters needing to be precisely known in order for the guarantees to hold. In this paper, we consider a stochastic model and show that it is possible to obtain good welfare and revenue guarantees with simple mechanisms that do not make use of the information on some of these parameters. In particular, we prove that a mechanism that sets the same price per time step for jobs of any length achieves at least 50% of the welfare and revenue obtained by a mechanism that can set different prices for jobs of different lengths, and the ratio can be improved if we have more specific knowledge of some parameters. Similarly, a mechanism that sets the same price for all servers even though the servers may receive different kinds of jobs can provide a reasonable welfare and revenue approximation compared to a mechanism that is allowed to set different prices for different servers.Comment: To appear in the 13th Conference on Web and Internet Economics (WINE), 2017. A preliminary version was presented at the 12th Workshop on the Economics of Networks, Systems and Computation (NetEcon), 201

THE TOKYO FINANCIAL MARKETS RESEARCH DATA SERVICES: I. FACTORS DATA FOR EQUITY MARKETS

We introduce a general purpose data library developed at the Center for Advanced Research in Finance and the Computing Services at the Faculty of Economics of the University of Tokyo for empirical research of the financial markets in Japan. This data library (located at http://www.carf.e.u-tokyo.ac.jp/english/research/trds/trds_intro_e.html) provides a new internationally comparable equity market factors data for Japanese and US markets up to December 2009.

Outsourcing of Disaggregated Services in Cloud-Based Enterprise Information Systems

In this paper, we examine outsourcing of disaggregated information-intensive services. Drawing on the theoretical streams of Global Information-Intensive Service Disaggregation and Transaction-Cost Economics, we formulate our research model to understand the phenomenon of disaggregation in the context of cloud computing. The model encompasses frequency, asset specificity, uncertainty, information intensity, and need for customer contact as characteristics of tasks that we use to explain the outsourcing of disaggregated services. We are especially interested in understanding the interplay between these characteristics and the increasingly popular cloud-based systems. Our results partially support previous research on the effects of characteristics on outsourcing. The main finding of the paper is impact of the cloud-based information systems on the interaction of these characteristics.Peer reviewe

THE ECONOMICS OF CLOUD-BASED COMPUTING TECHNOLOGIES IN CONSTRUCTION PROJECT DELIVERY

The construction industry is a very traditional sector, albeit one that is embracing new technology faster now than at any time in its past. The purpose of the research is to assess the economics of cloud-based computing technologies in construction project delivery. The study made use of a cross-sectional survey through a questionnaire instrument distributed to construction stakeholders. The surveyed sample size represent a 58% response rate. Statistical tools of Stacked Bars and Analysis of Variance (ANOVA) were used to present the result. The study identified the cloud-based services mostly used by construction stakeholders. The study revealed that economic benefits such as knowledge sharing, remote access of back-office activities and collaboration among construction stakeholders are evident while utilizing cloud-based computing technologies. Although, there are many benefits to the use of this technology, the study identified fear of security and data privacy, poor/slow connection to the internet, lack of physical control and costly data subscription as major threats to the efficient and effective use of cloud-based computing technologies in the construction delivery process