SLA information management through dependency digraphs: The case of cloud data services

The paper addresses the issue of Service Level Agreement (SLA) data management for the cloud computing domain. We discuss the SLA anatomy and provide an analysis of SLA data management requirements. The analysis highlights SLA data aspects considering the association of SLA terms with service management operations. Our work proposes a simple, structured way to store and manage SLA information through a digraph data model that is modular, extensible and expressive with respect to data operational dependencies. The proposed SLA digraph considers properties of SLA terms and service component dependencies. We sketch a realistic dataservice provisioning scenario, where the proposed SLA digraph is applied. We illustrate the mapping of data service attributes into SLA terms and the role of edge properties in the definition of service dependencies

Peer coordination through distributed triggers

This is a demonstration of data coordination in a peer data management system through the employment of distributed triggers. The latter express in a declarative manner individual security and consistency requirements of peers, that cannot be ensured by default in the P2P environment. Peers achieve to handle in a transparent way data changes that come from local and remote actions and events. The distributed triggers are implemented as an extension of the active functionality of a centralized commercial DBMS. The language and execution semantics of distributed triggers are integrated in the kernel of the DBMS such that the latter handles transparently and simultaneously both centralized and distributed triggers. Moreover, the management of distributed triggers is associated with a set of peer acquaintance and termination protocols which are incorporated in the centralized DBMS

A SLA graph model for data services

Cloud computing has given rise to on-demand service provisioning and massive outsourcing of IT infrastructures and applications to virtual, commoditized ones. Despite the broad Service Level Agreement (SLA) usage in scientific settings, their role in cloud markets is peripheral and misinterpreted. The paper introduces a SLA graph data model that supports automated SLA formalization and data management through a property digraph. The data model is described as a directed graph (digraph). We elaborate on node and edge properties that indicate dependencies in the SLA data management flow. We sketch a realistic scenario of cloud data service provisioning to extract attributes that characterize the data service. The SLA graph model and data service attributes are used to demonstrate the formalization of a SLA template that is managed as a property graph. The graph structure enables the manipulation of SLA information in a modular, extensible way that considers the data flow and all inclusive data dependencies

A SLA graph model for data services

Cloud computing has given rise to on-demand service provisioning and massive outsourcing of IT infrastructures and applications to virtual, commoditized ones. Despite the broad Service Level Agreement (SLA) usage in scientific settings, their role in cloud markets is peripheral and misinterpreted. The paper introduces a SLA graph data model that supports automated SLA formalization and data management through a property digraph. The data model is described as a directed graph (digraph). We elaborate on node and edge properties that indicate dependencies in the SLA data management flow. We sketch a realistic scenario of cloud data service provisioning to extract attributes that characterize the data service. The SLA graph model and data service attributes are used to demonstrate the formalization of a SLA template that is managed as a property graph. The graph structure enables the manipulation of SLA information in a modular, extensible way that considers the data flow and all inclusive data dependencies

SLA information management through dependency digraphs: The case of cloud data services

The paper addresses the issue of Service Level Agreement (SLA) data management for the cloud computing domain. We discuss the SLA anatomy and provide an analysis of SLA data management requirements. The analysis highlights SLA data aspects considering the association of SLA terms with service management operations. Our work proposes a simple, structured way to store and manage SLA information through a digraph data model that is modular, extensible and expressive with respect to data operational dependencies. The proposed SLA digraph considers properties of SLA terms and service component dependencies. We sketch a realistic dataservice provisioning scenario, where the proposed SLA digraph is applied. We illustrate the mapping of data service attributes into SLA terms and the role of edge properties in the definition of service dependencies

Isolation and Antimicrobial Testing of Aeromonas spp., Citrobacter spp., Cronobacter spp., Enterobacter spp., Escherichia spp., Klebsiella spp., and Trabulsiella spp. from the Gallbladder of Pigs

The presence of Gram-negative bacteria species, other than Salmonella spp., in the gallbladder of pigs was examined. Isolated Gram-negative bacteria were assigned to species using the Microgen (TM) GnA+B-ID Systems. Of the 64 isolated strains 43 were identified as Escherichia coli, seven as Enterobacter spp., three each as Klebsiella spp., Citrobacter freundii, Aeromonas hydrophila and Cronobacter sakazakii and one each as Escherichia fergusonii and Trabulsiella guamensis. Their antibiograms showed very high resistance to ampicillin, amoxicillin, tetracycline, chloramphenicol and sulfamethoxazole/trimethoprim. It was concluded that the pigs' gallbladder is a reservoir of potentially pathogenic Gram-negative bacteria for pork consumers

Enteric pathogens of dogs and cats with public health implications

Dogs and cats play an important role in modern society, enhancing the psychological and physiological well-being of many people. However, there are well-documented health risks associated with human animal interactions. More specifically, enteric pathogens of zoonotic risk which are transmitted by feces of dogs and cats can be grouped as follows: (a) Parasites such as Toxocara canis, T. cati, Ancylostoma sp, Uncinaria sp, Strongyloides stercoralis, Echinococcus granulosus, E. multilocularis and Dipylidium caninum (b) Protozoa including Toxoplasma gondii, Giardia duodenalis and Cryptosporidium spp. (c) Bacteria of the genera Clostridium, Campylobacter, Salmonella, Escherichia, Yersinia and Helicobacter and (d) Viruses mainly Rotaviruses and Coronaviruses. Among them, Salmonella, Campylobacter, Rotaviruses, Toxoplasma gondii, Echinococcus have been reported to be of considerable importance for many countries including Greece. Even though official records of the cases in humans and livestock in Greece continuously decline, cystic echinococcosis is considered to be a serious problem for public health and livestock economy. Regarding other parasites, the overall prevalence of parasitism was 26% in owned shepherd and hunting dogs examined in Serres. Furthermore, seroepidemiological studies revealed the presence of antibodies against T. gondii in a considerable percentage of hospitalized children. Rotaviruses were confirmed as a major cause of acute gastroenteritis in children. Finally, bacterial zoonotic enteropathogens were identified in a notable number of pediatric cases. Most of these zoonoses are associated with the exposure of immunodeficient people or children to pets and/or conditions of poor hygiene. Studies on the presence of all these pathogens in animals are required to identify the extent of problem, to define control strategies and evaluate their effectiveness. © 2014 M. Kantere et al