FLUIDOPS IN NEWPROT

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21 Οκτ 2013 (πριν από 3 χρόνια και 8 μήνες)

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FLUIDOPS

IN
NEWPROT


Peter Haase
, Michael
Schmidt, Andreas Schwarte

fluid
Operations

AG

fluidOps

NewProt

Team


Peter Haase


Lead
Architect

R&D


PhD

in Computer Science
from

University
of

Karlsruhe


Long
experience

in national
and

EU
research

projects


Expertise in
semantic

technologies
,
knowledge

representation
,

ontologies

and

cloud

computing


Co
-
author

of

the

W3C OWL 2
standard



Michael Schmidt


Senior
Architect

R&D


PhD

in Computer Science
from

University
of

Freiburg


Expertise
i
n
databases
,
query

optimization
,
semantic

technologies


and

cloud

computing



Andreas Schwarte


Development Engineer R&D


MSc

from

University
of

Saarbrücken


Expertise in
data

federation
,
self
-
service
portals

fluid

Operations

(
fluidOps
)

S
oftware company founded Q1/2008 by team of serial entrepreneurs, privately held, VC funded

Headquarters in
Walldorf

/ Germany, SAP Partner Port

Currently 40 employees

eCloudManager

Product Suite
introduced in Feb 2009

Information
Workbench
introduced in Jan 2010

Start of
CollabCloud

project together with

German Ministry of Research Nov 2009

Chosen
by the German
Ministry of Research

to supply standard interface and self
-

service cloud portal for
German D
-
Grid

e
-
Science backbone initiative Jun 2010

Named “
Cool Vendor for SAP 2010
” by

Gartner Mar 2010

Global
reseller agreement with EMC
focus large

enterprise customers Apr 2010

Chosen
NetApp

Advantage Alliance Partner

Oct 2010

Cloud Computing
-

Everything as
a

Service


Abstract

from

physical

implementation

details

and

location

of

resources


R
egardless
of
geographic or organizational
separation of
provider and
consumer



“In the cloud”


Web based


Virtualized


On
-
demand


Self
-
service


Scalable


Pay as you go

Infrastructure

as

a Service

Platform
as

a Service

Software
as

a Service

Data
as

a Service

Enterprise
Clouds



the

eCloud

Vision


All resources of an
adaptive, cloud
-
enabled
IT environment can be
set up,
monitored, and maintained
from a
single, unified,
and
intuitive
management console:



Internal and external IT resources accessible across stack without vendor lock
-
in


High degree of automation and IT provisioning at click of button on the level of enterprise
landscapes


Internal portal of private/public IT services with e.g. pay
-
as
-
you
-
go cost models

eCloudManager in a Nutshell

Enterprise Storage

Semantic
Integration

Unified API

Access to
heterogeneous
resources

Unified monitoring of
resources

Extendable provider
architecture

Automation

Automated, on
-
demand provisioning

Policy engine for
error
-
tracking

Availability
monitoring

Orchestration
workflows



Security

User management

Role concept

Utilization
monitoring

Error
-

and Failure
detection and
handling

Audit Log and Jobs



Self
-
Service
Portal

Multi
-
user
architecture

One
-
click
provisioning

Utilization and
(Service
-
) Availability
monitoring

Metering and billing


Analytics

Historical data
management

Search and
exploration

Collaborative
documentation

Dashboards

and
reporting


Service
Definition

Template Library

Zone definition

SLA definition

Resource reservation
and management



Network

Virtual Compute

Physical Compute

Enterprise Application
Landscapes

Linked Data and Semantic Technologies

Linked Data


Set of standards, principles for publishing, sharing

and interrelating structured knowledge


From data silos to a
Web of Data


RDF as graph based data model


Ontologies to describe the semantics



Benefits of Linked Data


Data Integration:
Semantically integrate and

interlink data scattered among different information systems



Simplified publishing and sharing of data
: Increase openness and accessibility of
Enterprise Data



Enrichment and contextualization through interlinking
: Value add by linking to

Linked Open Data



Improved user experience:
Leverage

semantic

technologies

for

better

search

and

presentation
,
address

more

expressive
information

needs



Linked

Open Data
Cloud


Information Workbench
-

Linked Data Platform

9


Information Workbench:


Semantics
-

&
Linked Data
-
based
integration

of private and public
data sources



Intelligent Data Access and
Analytics


Visual Exploration


Semantic Search


Dashboarding

and Reporting



Collaboration

and knowledge
management platform


Wiki
-
based
curation

&
authoring of data


Collaborative workflows


Semantic Web Data

Semantic Wiki + Widgets as

Self
-
service Linked Data Frontend


Semantic Wiki for linking of
unstructured and structured
data



Declarative specification
of the UI
based on available pool of widgets and
declarative wiki
-
based syntax


Widgets
have direct access to the DB


Type
-
based template mechanism


Wiki Page in Edit Mode …

… and Displayed Result Page

Information Workbench


Linked Data as a Service

Application Areas

Knowledge Management in the
Life Sciences




Digital Libraries, Media and
Content Management




Intelligent Data Center
Management


fluidOps Customers

Won Customers






Example: Linked Data in
Pharma

Integ

Public Data
Sources

Search
, Interrogate
and

Reason

Capture
and

Augment
Knowledge

Visualize
,
Analyze

and

Explore

Integrated
data

graph

over

all
data

sources

Private Data
Sources

Main
Use

Cases



Integrate

data

from

company
-
internal

data

silos


Augment
company
-
internal

data

with

Linked

Open Data


Collaborative
knowledge

management


Support
of

internal

processes

(
drug

development
)

Information Workbench for

Dynamic Semantic Publishing at BBC


Information Workbench for DSP



C
ollaborative
authoring and linking of
unstructured and structured semantic
data


Ontology and instance data management


DSP editorial workflows


Automation
of content creation and
enrichment


Olympics 2012 requirements


A lot of output... Page per Athlete [10,000+], Page per country
[200+], Page per Discipline [400
-
500], Time coded, metadata
annotated, on demand video, 58,000 hours of content


Almost real time statistics and live event pages with too many
web pages for too few journalists

Dynamic Semantic Publishing (DSP) architecture to automate
content aggregation


Role

of

fluidOps

in
NewProt
,
Expectations


Development
of

a
Self

Service Portal



Based

on Information
Workbench

and

eCloudManager

technology

stack

(See also
presentation

on
the

portal

this

afternoon
)



Gain

experience

in
the

life

science

domain



Potential
commercialization

of

the

portal

C
ONTACT:

fluid Operations

Altrottstr
. 31

Walldorf
, Germany


Email:
peter.haase@fluidops.com

website:
www.fluidops.com

Tel.: +49 6227 3846
-
527