Software portability

About: Software portability is a research topic. Over the lifetime, 8987 publications have been published within this topic receiving 164922 citations. The topic is also known as: portability.

Semantic and Agnostic Representation of Cloud Patterns for Cloud Interoperability and Portability

Abstract: This paper focuses on two aspects related to the widespread of cloud computing: first, the definition of a common formalism, based on a unique and shared model, which could be used to completely describe Cloud patterns, second, the investigation of a methodology to automatize the recognition of similar elements in Design and Cloud patterns, thus defining an automatic mapping among representations of application that follow these patterns. These aspects are handled on one hand by extending an existing semantic based Design pattern language in order to properly represent both Design and Cloud patterns together with its possible related architectural implementations and on the other hand by using these agnostic representations to define a mapping between Design patterns (a single design pattern or a composition of pattern) and Cloud patterns, in order to obtain a clear model of the cloud applications which could satisfy its original requirements and exploit all the benefits of cloud computing at the same time.

Containers in HPC: A Scalability and Portability Study in Production Biological Simulations

Abstract: Since the appearance of Docker in 2013, container technologies for computers have evolved and gained importance in cloud data centers. However, adoption of containers in High-Performance Computing (HPC) centers is still under discussion: on one hand, the ease in portability is very well accepted; on the other hand, the performance penalties and security issues introduced by the added software layers are often under scrutiny. Since very little evaluation of large production HPC codes running in containers is available, we provide in this paper a comparative study using a production simulation of a biological system. The simulation is performed using Alya, which is a computational fluid dynamics (CFD) code optimized for HPC environments and enabled to run multiphysics problems. In the paper, we analyze the productivity advantages of adopting containers for large HPC codes, and we quantify performance overhead induced by the use of three different container technologies (Docker, Singularity and Shifter) comparing it to native execution. Given the results of these tests, we selected Singularity as best technology, based on performance and portability. We show scalability results of Alya using singularity up to 256 computational nodes (up to 12k cores) of MareNostrum4 and present a study of performance and portability on three different HPC architectures (Intel Skylake, IBM Power9, and Arm-v8).

Mobile Multi-agent Systems for the Internet-of-Things and Clouds Using the JavaScript Agent Machine Platform and Machine Learning as a Service

Abstract: The Internet-of-Things (IoT) gets real in today's life and is becoming part of pervasive and ubiquitous computing networks offering distributed and transparent services. A unified and common data processing and communication methodology is required to merge the IoT, sensor networks, and Cloud-based environments seamless, which can be fulfilled by the mobile agent-based computing paradigm, discussed in this work. Currently, portability, resource constraints, security, and scalability of Agent Processing Platforms (APP) are essential issues for the deployment of Multi-agent Systems (MAS) in strong heterogeneous networks including the Internet, addressed in this work. To simplify the development and deployment of MAS it would be desirable to implement agents directly in JavaScript, which is a well known and public widespread used programming language, and JS VMs are available on all host platforms including WEB browsers. The novel proposed JS Agent Machine (JAM) is capable to execute AgentJS agents in a sandbox environment with full run-time protection and Machine learning as a service. Agents can migrate between different JAM nodes seamless preserving their data and control state by using a on-the-fly code-to-text transformation in an extended JSON+ format. A Distributed Organization System (DOS) layer provides JAM node connectivity and security in the Internet, completed by a Directory-Name Service offering an organizational graph structure. Agent authorization and platform security is ensured with capability-based access and different agent privilege levels.

Cyber-Security Issues in Healthcare Information Technology.

Abstract: In 1999–2003, SIIM (then SCAR) sponsored the creation of several special topic Primers, one of which was concerned with computer security. About the same time, a multi-society collaboration authored an ACR Guideline with a similar plot; the latter has recently been updated. The motivation for these efforts was the launch of Health Information Portability and Accountability Act (HIPAA). That legislation directed care providers to enable the portability of patient medical records across authorized medical centers, while simultaneously protecting patient confidentiality among unauthorized agents. These policy requirements resulted in the creation of numerous technical solutions which the above documents described. While the mathematical concepts and algorithms in those papers are as valid today as they were then, recent increases in the complexity of computer criminal applications (and defensive countermeasures) and the pervasiveness of Internet connected devices have raised the bar. This work examines how a medical center can adapt to these evolving threats.

FreeFlow: High Performance Container Networking

Abstract: With the tremendous popularity gained by container technology, many applications are being containerized: splitting into numerous containers connected by networks. However, current container networking solutions have either bad performance or poor portability, which undermines the advantages of containerization. In this paper, we propose FreeFlow, a container networking solution which achieves both high performance and good portability. FreeFlow is designed according to the observation that strict isolations are unnecessary among containers trusting each other, and it can significantly boost the communication quality of containers by compromising isolation a little bit. Specifically, we enable containers on the same physical machine to communicate via shared-memory and the ones on different physical machines communicate via high performance networking options, e.g. RDMA and DPDK. Naively wrapping up all the solutions together will result in poor potability of containers and huge complexity in application development. Instead, FreeFlow leverages a network abstraction which supports all common network APIs and a centralized network orchestrator which decides how to deliver data transparently to applications in the containers.