NFV service dynamicity with a DevOps approach : demonstrating zero-touch deployment & operations

Next generation network services will be realized by NFV-based microservices to enable greater dynamics in deployment and operations. Here, we present a demonstrator that realizes this concept using the NFV platform built in the EU FP7 project UNIFY. Using the example of an Elastic Router service, we show automated deployment and configuration of service components as well as corresponding monitoring components facilitating automated scaling of the entire service. We also demonstrate automatic execution of troubleshooting and debugging actions. Operations of the service are inspired by DevOps principles, enabling quick detection of operational conditions and fast corrective actions. This demo conveys essential insights on how the life-cycle of an NFV-based network service may be realized in future NFV platforms

A little less interaction, a little more action: A modular framework for network troubleshooting

An ideal network troubleshooting system would be an almost fully automated system, monitoring the whole network at once, feeding the results to a knowledge-based decision making system that suggests actions to the operator or corrects the failure automatically. Reality is quite the contrary: operators separated in their offices try to track down complex networking failures in their own way, which is generally a long sequence of manually edited parallel shell commands (mostly ping, traceroute, route, iperf, ofctl etc.). This process requires operators to be "masters of complexity" (which they often are) and continuous interaction. In this paper we aim at narrowing this huge gap between vision and reality by introducing a modular framework capable of (i) formalizing troubleshooting processes as the concatenation of executable functions [called Troubleshooting Graphs (TSGs)], (ii) executing these graphs via an interpreter, (iii) evaluating and navigating between the outputs of the functions and (iv) sharing troubleshooting know-hows in a formalized manner.Comment: 18 pages, 9 figure

Carbon Absorption in Seagrasses in Tongkaina Coastal Waters, Bunaken District, Manado City, North Sulawesi

This study was conducted to determine the types of seagrasses and calculate biomass and calculate how much carbon absorption in seagrasses was found in the location of Tongkaina Beach, Bunaken District, Manado City, North Sulawesi. The sampling procedure in the field is the method of cruising surveys. A cruising survey is a sample collection method that is carried out by walking through the coastal area of all seagrasses found.  After the sampling at the site is completed, the sample in the inventory is then photographed. The samples that have been obtained are analyzed in the laboratory using the loss on ignition (LOI) method. The results of the study on Tongkaina coastal waters covering an area of 25,000 meters with a coastal length of ±500 meters, in an area parallel to the coastline as wide as ±50 meters towards the sea and six types of seagrasses were obtained, namely: Enhalus acoroides, Thalassia hemprichii, Syringodium isoetifolium, Cymodocea rotundata, Halodule uninervis, and Halodule pinifolia.  The biomass in seagrasses found had an average value of 78.10% with the highest individual seagrass biomass found in seagrass type Enhalus acoroides with a biomass value of 87.23grams of dry weight (gbk)/individual and the lowest type of seagrass individual biomass value was found in seagrass type seagrass with a biomass value of 66.67grams of dry weight (gbk)/individual.  The total carbon content calculated in the entire seagrass obtained was 46,0941gCKeywords: Tongkaina Beach; seagrasses; biomass; carbon absorptionAbstrakPenelitian ini dilakukan untuk mengetahui jenis-jenis lamun dan menghitung biomassa serta menghitung berapa serapan karbon pada lamun yang ditemukan dilokasi Perairan Pantai Tongkaina Kecamatan Bunaken Kota Manado Provinsi Sulawesi Utara. Prosedur pengambilan sampel di lapangan menggunakan metode survei jelajah. Survei jelajah adalah metode pengumpulan sampel yang di lakukan dengan cara menyusuri daerah pantai terhadap semua lamun yang ditemukan. Setelah pengambilan sampel di lokasi selesai, sampel di inventarisir kemudian difoto. Sampel yang telah diperoleh dianalisa di laboratorium dengan menggunakann metode loss on ignition (LOI). Hasil penelitian pada perairan pantai Tongkaina seluas 25.000 meter dengan panjang pantai ±500 meter sejajar garis pantai dan lebar ±50 meter ke arah laut.  Ditemukan enam jenis lamun yaitu: Enhalus acoroides, Thalassia hemprichii, Syringodium isoetifolium, Cymodocea rotundata, Halodule uninervis dan Halodule pinifolia. Biomassa pada lamun yang ditemukan memiliki nilai rata-rata 78,53% dengan biomassa individu lamun tertinggi terdapat pada lamun jenis Enhalus acoroides dengan nilai biomassa mencapai 87,23gram berat kering (gbk)/individu dan nilai biomassa individu jenis lamun terendah terdapat pada lamun jenis Syringodium isoetifolium dengan nilai biomassa 66,67gram berat kering (gbk)/individu. Untuk total kandungan karbon yang dihitung pada keseluruhan lamun yang didapat sebesar 46,0941gC.Kata kunci: Pantai Tongkaina; Lamun; biomasa, serapan carbo

NFV service dynamicity with a DevOps approach : Insights from a use-case realization

This experience paper describes the process of leveraging the NFV orchestration platform built in the EU FP7 project UNIFY to deploy a dynamic network service exemplified by an elastic router. Elasticity is realized by scaling dataplane resources as a function of traffic load. To achieve this, the service includes a custom scaling logic and monitoring capabilities. An automated monitoring framework not only triggers elastic scaling, but also a troubleshooting process which detects and analyzes anomalies, pro-actively aiding both dev and ops personnel. Such a DevOps-inspired approach enables a shorter update cycle to the running service. We highlight multiple learnings yielded throughout the prototype realization, focussing on the functional areas of service decomposition and scaling; programmable monitoring; and automated troubleshooting. Such practical insights will contribute to solving challenges such as agile deployment and efficient resource usage in future NFV platforms

Identification Of Marine Debris By Focusing The Study Of Clean Coast Index On Karang Ria Tuminting Beach

Marine debris is rapidly gaining worldwide recognition as a major anthropogenic threat to global ocean ecosystems and produces a wide range of negative environmental, economic, safety, health and cultural impacts (UNEP, 2009). East Asia is the region with the fastest growing waste production in the world. Indonesia is in second position after China which produces the most waste in the world (Jambeck et al, 2015). The Beach Hygiene Index is a scaled index in a “Clean Coast” program launched by the Israeli ministry in an effort to solve the problem of littering on Israel's beaches. This index can be used as an indicator of pollution in a marine tourism area. The purpose of this study was to identify types of marine debris in the coastal waters of Karang Ria Tuminting and determine the value of the Clean Coast Index as an indicator of pollution. The collected data was then processed and statistically analyzed using Excel, Orange and SPSS software. Sampling was done by adapting the Shoreline Survey Methodology. approximately 1 month and made 2 direct observations, the plastic and rubber waste categories were found as the most common categories with the first observation being 73.4% and the second observation being 10.1%. The activities of the surrounding community are the main factors causing the abundance of marine debris around the coastal areas. The index value obtained is 39.5 with a total of 395 waste in various categories as stated by NOAA (2016). Keywords: Marine debris, Index, Identification, Category ABSTRAK Sampah laut dengan cepat mendapatkan pengakuan dunia sebagai ancaman antropogenik utama bagi ekosistem lautan global dan menghasilkan berbagai macam dampak negatif lingkungan, ekonomi, keselamatan, kesehatan, dan budaya (UNEP, 2009). Asia Timur adalah wilayah dengan pertumbuhan produksi sampah tercepat di dunia. Indonesia berada pada posisi kedua setelah China yang memproduksi sampah terbanyak di dunia (Jambeck et al, 2015). Indeks Kebersihan Pantai adalah skala indeks dalam suatu program “Clean Coast” yang diluncurkan kementerian Israel dalam upaya untuk memecahkan permasalahan sampah di pantai-pantai Israel. Indeks ini dapat digunakan sebagai indikator polusi pada suatu kawasan wisata bahari. Tujuan penelitian ini untuk mengidentifikasi jenis sampah laut di perairan pantai Karang Ria Tuminting dan menentukan nilai Indeks Kebersihan Pantai (Clean Coast Index) sebagai indikator polusi. Data yang dikumpulkan kemudian diolah dan dianalisis secara statistik dengan menggunakan perangkat lunak Excel, Orange dan SPSS. Pengambilan sampel dilakukan dengan mengadaptasi metode Shoreline Survey Methodology. Pengamatan dilaksanakan kurang lebih 1 bulan dan dilakukan 2 kali pengamatan langsung, diperoleh kategori sampah plastik dan karet sebagai kategori yang paling banyak ditemukan dengan komposisi jumlah pada pengamatan pertama sebesar 73.4% dan pengamatan kedua sebanyak 10.1%. aktivitas masyarakat sekitar menjadi faktor utama penyebab berlimpahnya sampah laut di sekitar wilayah pesisir. Nilai indeks yang diperoleh yaitu sebanyak 39,5 dengan jumlah total 395 sampah dengan berbagai kategori sesuai dengan yang dikemukakan oleh NOAA (2016). Kata kunci : Sampah laut, Indeks, Identifikasi, Kategor

Symptoms of Anxiety and Cardiac Hospitalizations at 12 Months in Patients with Heart Failure

OBJECTIVE: Heart failure (HF) is a leading cause of hospitalization. Clinical and socio-demographic factors have been associated with cardiac admissions, but little is known about the role of anxiety. We examined whether symptoms of anxiety were associated with cardiac hospitalizations at 12 months in HF patients. METHODS: HF outpatients (N=237) completed the Hospital Anxiety and Depression Scale (HADS) at baseline (i.e., inclusion into the study). A cutoff ≥8 was used to indicate probable clinical levels of anxiety and depression. At 12 months, a medical chart abstraction was performed to obtain information on cardiac hospitalizations. RESULTS: The prevalence of symptoms of anxiety was 24.9 % (59/237), and 27.0 % (64/237) of patients were admitted for cardiac reasons at least once during the 12-month follow-up period. Symptoms of anxiety were neither significantly associated with cardiac hospitalizations in univariable logistic analysis [OR=1.13, 95% CI (0.59–2.17), p=0.72] nor in multivariable analysi

DISFUNZIONE MULTIORGANO (MOF) IN CORSO DI ENCEFALOPATIA NEONATALE. INDAGINE EPIDEMIOLOGICA SU UN CAMPIONE DI NEONATI OSSERVATI NEL PERIODO GENNAIO 2009 - MAGGIO 2016

encefalopatia, disfunzione multirogan