A Virtual Observatory Vision based on Publishing and Virtual Data

We would like to propose a vision of the Virtual Observatory where the "killer-app" is seen to be generalizing and extending the idea of "publication" from the narrow meaning of peer-reviewed journals. Here, publication ranges from private temporary storage, to group access, to public access, through to data that supports peer-reviewed Journal papers in perpetuity. The publication model is further extended by the possibility of Virtual Data -- where only the method of computation is stored, not necessarily the data itself. Furthermore, virtual data products may depend on other virtual data products, creating an implicit network of on-demand computation. This computation may take huge resources, or it may be all within a laptop

A Genetic Algorithm for Power-Aware Virtual Machine Allocation in Private Cloud

Energy efficiency has become an important measurement of scheduling algorithm for private cloud. The challenge is trade-off between minimizing of energy consumption and satisfying Quality of Service (QoS) (e.g. performance or resource availability on time for reservation request). We consider resource needs in context of a private cloud system to provide resources for applications in teaching and researching. In which users request computing resources for laboratory classes at start times and non-interrupted duration in some hours in prior. Many previous works are based on migrating techniques to move online virtual machines (VMs) from low utilization hosts and turn these hosts off to reduce energy consumption. However, the techniques for migration of VMs could not use in our case. In this paper, a genetic algorithm for power-aware in scheduling of resource allocation (GAPA) has been proposed to solve the static virtual machine allocation problem (SVMAP). Due to limited resources (i.e. memory) for executing simulation, we created a workload that contains a sample of one-day timetable of lab hours in our university. We evaluate the GAPA and a baseline scheduling algorithm (BFD), which sorts list of virtual machines in start time (i.e. earliest start time first) and using best-fit decreasing (i.e. least increased power consumption) algorithm, for solving the same SVMAP. As a result, the GAPA algorithm obtains total energy consumption is lower than the baseline algorithm on simulated experimentation.Comment: 10 page

Perbandingan Openvz dengan Kernel Based Virtual Machine (Kvm)

Server virtualization is one system that uses energy and can work simultaneously. In this study the comparison of OpenVZ based hypervisors with kernel virtual machine (KVM) hypervisors will be compared on a virtual private server (VPS) machine. The research method uses PPDIOO developed by Cisco in network system design. The phases in the PPDIOO method are Prepare, Plan, Design, Implement, Operate and Optimize. The results of this study are OpenVZ-based virtual machines are more stable than KVM because the level of efficiency of existing resources is more efficient use of OpenVZ-based virtual machines with data using 0.8% CPU performance and 589mb of memory, the level of use of KVM-based virtual machine resources is greater with 65.4% CPU performance and 2824 mb memory, OpenVZ-based virtual machines that are able to run without large resources, while KVM-based virtual machines while working together require very large resources.&nbsp

Communal resources in open source software development

Introduction: Virtual communities play an important role in innovation. The paper focuses on the particular form of collective action in virtual communities underlying as Open Source software development projects. Method: Building on resource mobilization theory and private-collective innovation, we propose a theory of collective action in innovative virtual communities. We identify three communal resources (reputation, control over technology and learning opportunities) that appear as a byproduct while developing open source software. Analysis:Constructs are derived from exiting literature. Empirical data from Freenet, an open source software project for peer-to-peer software, illustrates both the levels of involvement and the communal resources. Results & conclusions: Communal resources are able to solve the collective action dilemma for virtual communities. We show that they increase in value for individuals along with their involvement in the community

PERANCANGAN DAN ANALISIS PERFORMANSI LAYANAN IAAS PADA PRIVATE CLOUD DENGAN CLOUD PLATFORM CLOUDSTACK

Private Infrastructure as a Service (IaaS) merupakan layanan cloud computing yang menyediakan resources infrastruktur IT seperti CPU, storage, dan network pada jaringan lokal. Pembangunan private IaaS menjadi sebuah solusi untuk menyediakan komputer virtual ( instances ) yang fleksibel dan scalability. Pemilihan cloud platform dan hypervisor akan berpengaruh terhadap tingkat performansi yang dihasilkan pada Ia aS yang dibangun. Cloudstack merupakan cloud platform yang digunakan untuk mengelola resources yang membentuk suatu infrastruktur private cloud . Penggunaan hypervisor Kernel - Based Virtual Machine (KVM) untuk proses pembuatan instances dan mampu menghasilka n performansi antara 95 - 135% dibandingkan dengan teknik bare metal [4] . Permasalahan yang ada yaitu bagaimana performansi dan berapa nilai overhead yang disebabkan oleh mekanisme virtualisasi yang terdapat pada layanan IaaS? Selain itu, bagaimana performansi dari segi scalability dan proses isolasi resources tiap instances ? Oleh karena itu, dibutuhkan evaluasi metrik overhead, linearitas, dan isolasi pada lingkungan private IaaS untuk mengetahui performansi dan perilaku resources pada instances. Pada Tugas Akhir ini dibuat layanan private IaaS menggunakan cloudstack dan KVM. Cloudstack dan KVM memungkinkan performansi resources seperti CPU, disk, dan network pada instances lebih maksimal dikarenakan KVM didesain berdasarkan linux kernel dan mengunakan teknik Hardware Assisted Virtualization. Dilakukan microbenchmarks pada komponen CPU, disk, dan network . Berdasarkan hasil pengujian dan analisa perform ansi, pada metrik overhead terjadi penurunan kinerja sebesar 34.02% pada CPU, 431.17% pada disk, dan 0.08% pada network . Seiring peningkatan instances yang beroperasi terjadi penurunan kinerja pada tiap komponen. Kemudian, isolasi kinerja antar proses terj adi pada komponen CPU dan isolasi kinerja antar instances dengan usaha optimalisasi terjadi pada komponen disk dan network. Cloudstack, KVM, private cloud, IaaS, scalabilit

VIoLET: A Large-scale Virtual Environment for Internet of Things

IoT deployments have been growing manifold, encompassing sensors, networks, edge, fog and cloud resources. Despite the intense interest from researchers and practitioners, most do not have access to large-scale IoT testbeds for validation. Simulation environments that allow analytical modeling are a poor substitute for evaluating software platforms or application workloads in realistic computing environments. Here, we propose VIoLET, a virtual environment for defining and launching large-scale IoT deployments within cloud VMs. It offers a declarative model to specify container-based compute resources that match the performance of the native edge, fog and cloud devices using Docker. These can be inter-connected by complex topologies on which private/public networks, and bandwidth and latency rules are enforced. Users can configure synthetic sensors for data generation on these devices as well. We validate VIoLET for deployments with > 400 devices and > 1500 device-cores, and show that the virtual IoT environment closely matches the expected compute and network performance at modest costs. This fills an important gap between IoT simulators and real deployments.Comment: To appear in the Proceedings of the 24TH International European Conference On Parallel and Distributed Computing (EURO-PAR), August 27-31, 2018, Turin, Italy, europar2018.org. Selected as a Distinguished Paper for presentation at the Plenary Session of the conferenc