I am working on a project where I am using Apache Jena Fuseki 2.4 as the graph storage. Anyone knows what is the maximum concurrent read operations that Fuseki supports?
Thanks in advance.
Related
StarCluster is a well known toolkit for Amazon EC2. However, it was developed based on Python 2, which is going out if date. And it is not compatible with Python 3.x.
So I'd like to know is there any alternative to StarCluster? I have searched in stackoverflow but found no answers. Does anyone know?
I am looking forward to your advice! Thanks!
I'd recommend taking a look at cfncluster, which is a python tool for managing HPC clusters on AWS. It shares much of the functionality of StarCluster, and in particular uses SGE out of the box. It seems to be actively developed, at least at the time of writing, and has (experimental) support for Python 3.
I've a web application with Nodejs server and HTML client.
I have server integrated with many c++ algorithms. To reduce server loading and for high performance, I wanna distribute my algorithms in parallel from server.
I'm a newbie to Hadoop and its Map/Reduce programming concept.
Question:
Shall I use clustering for this architecture?
Is this happens with map reducing?
You are mixing up:
Clustering, as in data analysis ("cluster analysis", but that is hard to pronounce)
Clustering, as in load balancing (this would be easy to pronounce and precisey but not as cool as "clustering")
Make sure to distinguish these two.
I'm trying to improve the semantic web services' discovery to satisfy better the user. For that, I choose to use OWL-S. So I created an ontology using Protégé then I generated semantic web services using OWL-S editor within Eclipse (these services have been in part generated automatically since they are already developed in Java). What I can't do now is the execution of these services: I don't know how to proceed. I need your help please, I didn't find good documentation or tutorials about the life cycle of OWL-S services. Could you please help me and suggest me some useful tools, tutorials..?
PS: do you think that OWL-S is still used or do you suggest something else? What is the most common way to develop semantic web services nowadays?
Thank you!
OWl-S is a W3C consortium standard, therefore documentation is available regarding that. Check the below links
http://www.w3.org/Submission/OWL-S/
http://www.daml.org/services/owl-s/
http://www.ai.sri.com/daml/services/owl-s/examples.html
I am using Sidhhi CEP as Java library in my project . Now i need to analyse my data with High available system (Similar to Esper HA). I have done little bit study about Siddhi High availability
http://wso2.com/library/articles/2014/05/high-availability-deployment-in-wso2-complex-event-processor-0/
Also gone through with the above links
is that possible to the same task using Siddhi java library ???
Above document demonstrates how WSO2 CEP has achieved high availability by using multiple nodes with hazelcast clustering. If you are just using Siddhi CEP as a Java library, then you need to implement your clustering by using hazelcast or any other.
More about WSO2 CEP Clustering [1]
[1] https://docs.wso2.com/display/CLUSTER420/Clustering+Complex+Event+Processor
so I have been reading Mule in Action for some time and have gained some knowledge on the features of Mule Studio. I have several questions regarding some specifications of a project(that utilizes web services) I am working on and I would be very grateful if someone could help understand how to implement them:
-Service management: I am required to investigate the possibility of having multiple versions of a same service. Meaning if an admin decided to add a different version of the same service it should be possible to alternate between the new and previous one.
-Using Mule studio the messages should be handled by priority. I think this can be done using JMS filters.
Thank you in advance for your time and help.
For versioning services you should try API Manager, it is an enterprise product.
About priorities, you are right, you can use a JMS selector in your flow to only consume messages of a certain priority:
<jms:inbound-endpoint queue="important.queue">
<jms:selector expression="JMSPriority=9"/>
</jms:inbound-endpoint>