High-performance computing (HPC) in the cloud … Two significant cloud computing platforms, Google App Engine and Amazon Web Service, are … According to recent reports, demand for enterprise PaaS solutions will increase continuously. IEEE Trans Comput 56:681–691, Article  Then, we perform an empirical evaluation of the performance of four commercial cloud computing services including Amazon EC2, which is currently the largest commercial cloud. Performance and scalability testing and measurements of cloud-based software services are necessary for future optimizations and growth of cloud computing. School of Computer Engineering and Science, Shanghai University, Shanghai , 200444, China, Department of Computer Science and Engineering, Henan Institute of Engineering, Zhengzhou , 451191, China, China Telecom Corporation Ltd., Shanghai Branch, Shanghai , 200085, China, You can also search for this author in Some key technologies for Cloud computing, such as virtualization and the Service-Oriented Architecture (SOA), bring in special challenges to service performance evaluation. Prentice Hall, New Jersey, Liu X, Tong W, Shen C (2013) QoS-aware I/O schedule for virtual machines in cloud computing environment. There are lots of characteristics and services offered by cloud computing which makes it different than traditional web services or service oriented architecture. These resources include tools and applications like data storage, servers, databases, networking, and software. This paper aims at the analysis of the performance comparison of cloud computing platforms and traditional web servers. - 95.110.169.160. Peer review under responsibility of Chongqing University of Posts and Telecommunications. interaction [1].The advantages of cloud computing over traditional computing include: agility, lower entry cost, device independency, location independency and scalability. Cloud computing is recognized as a revolution in the computing area, meanwhile, it also brings the question on the necessity and applicability of this new industry standard. Google Scholar, Levitin G, Dai YS, Ben-Haim H (2006) Reliability and performance of star topology grid service with precedence constraints on subtask execution. © 2020 Springer Nature Switzerland AG. In: World conference on services, pp 693–700, Yang B, Tan F, Dai YS (2013) Performance evaluation of cloud service considering fault recovery. Clearly, you can expect increased agility with lower costs if you move your services to the cloud. The cloud high performance computing market is expected to grow at a CAGR of 15.7% from 2019 to 2025. Many studies have examined the infrastructure as a service and software as a service aspects of cloud computing; however, few studies have focused on platform as a service (PaaS). In: 2012 IEEE international conference on systems, man, and cybernetics, pp 1455–1460, Ostermann S, Iosup A, Yigitbasi N, Prodan R, Fahringer T, Epema D (2010) A performance analysis of EC2 cloud computing services for scientific computing. Due to the complexity and diversity of user requests of the cloud computing system, its performance is difficult to model and analyze. The objectives of this article is to present a survey that reflects the state of the art of Cloud service performance evaluation from the system modeling perspective. 11511500200). Performance isolation is an indispensable remedy solution for the mentioned challenges. It is used to determine how well a cloud system is functioning and what improvements can be made to the system. Cloud computing today has now been growing as new technologies and new business models. The model considers the resources sharing among VMs. The service requests are also relaxed compared with prior research. Cloud computing environment is influenced by user-dependent quality of service (QoS) parameters in evaluating the performance of Web services apart from others factors. Scalability, elasticity, and efficiency are interrelated aspects of cloud-based software services’ performance requirements. It adopts the concept of virtualization, service oriented architecture, autonomic, and utility computing. Future Gener Comput Syst 25(6):599–616, Fox A, Griffith R, Joseph A, Katz R, Konwinski A, Lee G, Patterson D, Rabkin A, Stoica I (2009) Above the clouds: a Berkeley view of cloud computing, electrical engineering and computer sciences, University of California, Berkeley, Foster I, Zhao Y, Raicu I, Lu S (2008) Cloud computing and grid computing 360-degree compared. As cloud computing pops up in more and more IT departments, some cloud services have seen their performance woes exposed. Cloud computing is a recent trend of technology that aims to provide on-demand services following a pay-peruse model. This paper presents a model for performance analysis of cloud services. We use cookies to help provide and enhance our service and tailor content and ads. The Journal of Supercomputing Cloud Computing is a new service area in Information Technology environment with huge requirements on the shared information, infrastructure, software, resources, devices and services. Last, we compare through trace-based simulation the performance characteristics and cost models of clouds and other scientific computing platforms, for general and MTC-based scientific computing workloads. When we update our status on social media, binge a new streaming series, or check our bank accounts we're most likely using applications that are hosted by cloud services. Cloud Computing is the latest paradigm to optimize the use of IT resources considering “everything as a service” and receiving these services from the Cloud (Internet) instead of … Definition - What does Cloud Performance Management mean? Learn more about Institutional subscriptions, The number of subtasks of a service request, The service rate of the \(j\)-th physical server, The proportion of the \(\mathrm{VM}_{i}\)’s resources to the \(j\)-th physical server, The service rate vector of the cloud system, The number of VMs that can be created on the physical server \(j\), The service rate for the system to stay at state \(i\), The total number of VMs can be created by the cloud center, The maximum number of VMs that can be created on server \(j\), The steady probability for the system to stay at state \(n\), The data size of subtask \(k\) needed to be transmitted, The available bandwidth of the physical server \(M_{j}\), The processing time of suktask \(k\) when there is VM failure, The processing time of suktask \(k\) when there is VL failure, The the \(y\)-th recovery time of the \(\mathrm{VM}_{i}\), The average waiting time of the \(i\)-th resources request, The total number of servers of the cloud center, The allocation matrix of the \(i\)-th service request, The number of VMs that running on the physical server \(M_{j}\), The completion time if physical server failure, Buyya R, Yeo CS, Venugopal S, Broberg J, Brandic I (2009) Cloud computing and emerging IT platforms: vision, hype, and reality for delivering computing as the 5th utility. 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