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GPU PaaS Computation Model in Aneka Cloud Computing Environments
Published in Kuan-Ching Li, Beniamino DiMartino, Laurence T. Yang, Qingchen Zhang, Smart Data, 2019
Shashikant Ilager, Rajeev Wankar, Raghavendra Kune, Rajkumar Buyya
The cloud computing has revolutionized the computing paradigm in recent years. It provides on-demand convenient access to a shared pool of configurable computing resources through the Internet [1]. Platform as a Service (PaaS) is a cloud service delivery model that provides tools for rapid development and deployment of applications in the cloud. Presently, most PaaS frameworks target to build cloud applications that use only CPU computing resources. Aneka [2] is one such PaaS framework, which helps to perform the aforementioned functionalities. Aneka provides Application Programming Interfaces (APIs) to build the distributed cloud applications using Task, Thread, and MapReduce programming models. The application can be deployed over private, public, and hybrid clouds.
Mobile Platforms
Published in Jithesh Sathyan, Anoop Narayanan, Navin Narayan, K V Shibu, A Comprehensive Guide to Enterprise Mobility, 2016
Jithesh Sathyan, Anoop Narayanan, Navin Narayan, K V Shibu
Mobile computing has been growing in popularity over the years. The increasing capabilities of mobile phones, along with higher bandwidth networks available for these devices, have made the mobile platform very appealing for both consumers and enterprises. The term "platform" describes the hardware or software configuration of a system. The system can range from anything between a mobile device to tablets or computers. When a platform is referred in relation to the hardware of the system, it usually means the processor architecture such as Intel x86 platform, PowerPC platform, etc. When it is referred in terms of software, the term "platform" means the operating system (OS) that runs the computer or the mobile device.
The Amazing Architecture of the Human Immune System
Published in Rocky Dr. Termanini, The Nano Age of Digital Immunity Infrastructure Fundamentals and Applications, 2018
Once it is possible to move a mind from one substrate to another, it is then called a substrate-independent mind (SIM). The concept of SIM is inspired by the idea of designing software that can run on multiple computers with different hardware without needing to be rewritten. For example, Java’s design principle “write once, run everywhere” makes it a platform-independent system. In this context, substrate is a term referring to a generalized concept of any computational platform that is capable of universal computation.
Ecosystems in construction management and urban development: a comprehensive review of conceptualizations and contributions
Published in Construction Management and Economics, 2023
Platform ecosystems can be defined based on industry platforms that “act as a foundation upon which external innovators, organized as an innovative business ecosystem, can develop their own complementary products, technologies, or services” (Gawer and Cusumano 2014, p. 417). Furthermore, industry platforms are a set of products, services, or technologies that are broadly used in an industry, which differentiates them from company or product platforms that are mainly developed for the business purposes of individual companies (Gawer and Cusumano 2014). Therefore, platform ecosystems are business ecosystems in which platforms have a central role. Common examples of platform ecosystems are from the software industry, in which firms such as Apple rely on multiple complementors in platform development.
PEFT-based Trade-off Schedule Plan for Execution IoT Applications in Cloud Environment
Published in IETE Journal of Research, 2021
Cloud computing is an emerging computing technique that uses the concept of virtualization of software and hardware to provide dynamically scalable services through internet depending on the user’s demand. In a few years, Service-Oriented Computing, Distributed Computing, and Parallel Computing have become the major attraction of researchers [1]. Cloud computing depends on the market-oriented business model in which the users pay-per-use for various computing, storage, and network services of Cloud. Three main delivery models of Clouds are: Software as a Service (SaaS), where the user uses the various developed applications like Google Apps, Salesforce.com, etc., but could not control the beneath environment [2]. Platform as a Service (PaaS) provides an application framework where users can develop and deploy their applications without buying and managing the underlying hardware and software like AWS and Google App Engine etc. [3] In the third type of delivery model, i.e. Infrastructure as a Service (IaaS), the user can choose the resources from a wide variety of different capabilities based on their requirements e.g. Amazon EC2, Globus, Nimbus, Eucalyptus, etc., [4].
Why corporate groups care about company standards
Published in International Journal of Production Research, 2020
Modular strategies and product platforms enable adaption to local demands while economies of scale and scope are still achieved (Langlois and Robertson 1992; Simpson 2004). Platforms are ‘subsystems and interfaces that form a common structure from which a company can efficiently develop and produce a family of products (…)’ (Gawer and Cusumano 2013, 419). Developing and managing internal platforms in line with company-specific strategies is complex task for which company standards are indispensable. Through their application, common practices, routines, and non-person-oriented information transfer processes can be implemented that create system stability (Sturgeon, van Biesebroeck, and Gereffi 2008; Festing and Eidems 2011; Gawer and Cusumano 2013; De Casanove and Lambert 2016).