Figure 4 - uploaded by Richard Anthony
Content may be subject to copyright.
Source publication
Cloud computing enables harmonization for a variety of ground system stakeholders by providing a consistent set of interfaces to the shared data. These interfaces are accessed from a common cloud, thus reducing the duplication of data that often occurs in conventional ground systems. The benefits to ground system cost and architectural quality attr...
Context in source publication
Similar publications
To tackle the cloud-provider lock-in, the open grid forum is developing the open cloud computing interface (OCCI), a standardized interface for managing any kind of cloud resources. Besides the OCCI Core model, which defines the basic modeling elements for cloud resources, further standardized extensions exist that reflect the requirements of diffe...
Citations
... [36][37][38][39][40] With increase in data volumes and computational complexities concept of cloud computing came in existence providing access to high speed computational capability to users over the cloud which led to increased availability of advanced computing capabilities with researchers and shot up the viability study of proposed applications. [41][42][43][44] Widespread and easy access to complex hi-speed computational powers enabled realizations of solutions to many complex problems by research community and academia across the globe. Concept of quantum computing emerged long back however it is in recent years that practical realizations have been made possible and accessible to be viewed and analysed by masses. ...
Computing methodologies with rapid proliferation and need for greater concurrency have evolved over the years from parallel and distributed computing to latest technologies like cloud computing. A paradigm shift in computing methodologies has been witnessed in the form of exponential speed up, optimization of problem solutions and solvability of few classically unsolvable problems with emergence of quantum computing. The study in this paper presents observations on executing basic quantum operations that play a vital role in quantum computing. The results and analysis demonstrate how parameters of time, deviation and shots have a significant effect on outcomes of quantum circuits executed which can be a reference point for the community in general engaged in designing of quantum circuits, protocols, algorithms and quantum hardware to leverage quantum characteristics and properties. The study by means of experimental use cases provides a rigorous review of qubit behavior, standard and entangled qubit measurement with practical results over a simulator and real quantum hardware for variable qubit configurations using a selected platform of IBM Q Experience. With the paradigm shift from classical to quantum computing this paper provides basic but very vital observations which can be brought to use
by anyone intending to build quantum applications.
... Then, users can exploit virtual resources obtained as the sum of programs provided by all the accessible satellites. In [11], authors propose several approaches to apply cloud computing models to satellite scenarios . A first implementation approach is related to the storage of satellite operational data in a cloud. ...
Cloud computing can signi cantly improve efficiency in Internet utilization and data management. Several cloud applications (file sharing, backup, data up/download etc.) imply transfers of large amount of data without real-time requirements. In several use-cases cloud-computing solutions reduce operational costs and guarantee target QoS. These solutions become critical when satellite systems are utilized, since resources are limited, network latency is huge and bandwidth costs are high. Using satellite capacity for cloud-computing bulk traffic, keeping acceptable performance of interactive applications, is very important and can limit the connectivity costs. This goal can be achieved installing in the Set Top Box (STB) a proxy agent, to differentiate traf c and assign bandwidth according to priority, leaving spare capacity to bulk cloud computing traffic. This aim is typically reached using a speci c QoS architecture, adding functional blocks at network or lower layers. We propose to manage such a process at transport layer only. The endpoint proxy implements a new transport protocol called TCP Noordwijk+, introducing a flow control differentiation capability. The proxy includes TPCN+ which efficiently transfers low-priority bulk data and handles interactive data, keeping a high degree of friendliness. The outcomes of Ns-2
simulations confirm applicability and good performance of the proposed solution.
... Cloud security concerns can be grouped into any number of dimensions these dimensions have been aggregated into three general areas: Security and Privacy, Compliance, and Legal or Contractual Issues [57] [58] [59]. There are a number of security issues/concerns associated with cloud computing but these issues fall into two broad categories: Security issues faced by cloud providers (organizations providing software-, platform-, or infrastructure-as-a-service via the cloud) and security issues faced by their customers [22]. In most cases, the provider must ensure that their infrastructure is secure and that their clients' data and applications are protected while the customer must ensure that the provider has taken the proper security measures to protect their information [23] [81] [83]. ...
Cloud based development is a challenging task for various software engineering projects, especifically for those which demand extraordinary quality, reusability and security along with general architecture. In this paper we present a report on a methodical analysis of cloud based development problems published in major computer science and software engineering journals and conferences organized by various researchers. Research papers were collected from different scholarly databases using search engines within a particular period of time. A total of 89 research papers were analyzed in this methodical study and we categorized into four classes according to the problems addressed by them. The majority of the research papers focused on quality (24 papers) associated with cloud based development and 16 papers focused on analysis and design. By considering the areas focused by existing authors and their gaps, untouched areas of cloud based development can be discovered for future research works.
... Cloud based infrastructure has proven to be very effective in providing on-demand computational resources to both commercial applications and a wide range of large-scale scientific applications (e.g. climate simulation and analysis [1], biomedical image processing [2], fMRI brain imaging [3], satellite ground systems [4] and data processing [5], astronomy applications [6], Geographic Information Systems (GIS) [7] and disaster response systems [8]). In both the commercial and scientific settings the talents of computer scientists and expert developers are brought to bear in order to efficiently exploit cloud-based infrastructure. ...
Analytical workloads abound in application do-mains ranging from computational finance and risk analytics to engineering and manufacturing settings. In this paper we describe a Platform for Parallel R-based Analytics on the Cloud (P2RAC). The goal of this platform is to allow an Analyst to take a simulation or optimization job (both the code and associated data) that runs on their personal workstations and with minimum effort have them run on large-scale parallel cloud infrastructure. If this can be facilitated gracefully, an Analyst with strong quantitative but perhaps more limited development skills can harness the computational power of the cloud to solve larger analytically problems in less time. P2RAC is currently designed for executing parallel R scripts on the Amazon Elastic Computing Cloud infrastructure. Preliminary results obtained from an experiment confirm the feasibility of the platform.
The first artificial satellite was sent to space by the Soviet Union in 1957. Since then, a vast number of satellites have been sent to space for several purposes. These purposes include communications, earth observation, weather forecasting, navigation, reconnaissance, astronomical research etc. Satellites collect the required data; to process this data and make it useful according to purpose is the job of satellite ground systems. To accomplish this job, these systems embody computer infrastructures at different scales. Here is where cloud computing technology enters the scene. It offers appealing advantages like reduced cost, increased availability, scalability and flexibility for these infrastructures. In this paper, we examine cloud computing technology which is the latest trend in IT and how it can be applied to satellite ground systems.
