FLA-SLA aware cloud collation formation using fuzzy preference relationship multi-decision approach for federated cloud

Cloud Computing provides a solution to enterprise applications in resolving their services at all level of Software, Platform, and Infrastructure. The current demand of resources for large enterprises and their specific requirement to solve critical issues of services to their clients like avoiding resources contention, vendor lock-in problems and achieving high QoS (Quality of Service) made them move towards the federated cloud. The reliability of the cloud has become a challenge for cloud providers to provide resources at an instance request satisfying all SLA (Service Level Agreement) requirements for different consumer applications. To have better collation among cloud providers, FLA (Federated Level Agreement) are given much importance to get consensus in terms of various KPI’s (Key Performance Indicator’s) of the individual cloud providers. This paper proposes an FLA-SLA Aware Cloud Collation Formation algorithm (FS-ACCF) considering both FLA and SLA as major features affecting the collation formation to satisfy consumer request instantly. In FS-ACCF algorithm, fuzzy preference relationship multi-decision approach was used to validate the preferences among cloud providers for forming collation and gaining maximum profit. Finally, the results of FS-ACCF were compared with S-ACCF (SLA Aware Collation Formation) algorithm for 6 to 10 consecutive requests of cloud consumers with varied VM configurations for different SLA parameters like response time, process time and availability

Consumer attitude and behaviour towards 'Flandria' quality labelled tomatoes

In recent years, trust in food safety and food quality has decreased as a result of consecutive food crises. Consequently, numerous quality labels signalling credence characteristics have been established. One of these labels is the Belgian Flandria label for fresh fruit and vegetables. Based on a self-administered consumer survey (n=373), this paper addresses questions about consumer attitudes, behaviour and perception towards tomatoes in general, and the Flandria tomato label in particular. Principal component analysis and consumer segmentation are performed. The findings indicate that the Flandria label may have become the new standard for tomatoes and may have lost a major part of its differentiation potential by being positioned "in the middle" and being too intensively used for a wide range of other fruits and vegetables

Offloading Content with Self-organizing Mobile Fogs

Mobile users in an urban environment access content on the internet from different locations. It is challenging for the current service providers to cope with the increasing content demand from a large number of collocated mobile users. In-network caching to offload content at nodes closer to users alleviate the issue, though efficient cache management is required to find out who should cache what, when and where in an urban environment, given nodes limited computing, communication and caching resources. To address this, we first define a novel relation between content popularity and availability in the network and investigate a node's eligibility to cache content based on its urban reachability. We then allow nodes to self-organize into mobile fogs to increase the distributed cache and maximize content availability in a cost-effective manner. However, to cater rational nodes, we propose a coalition game for the nodes to offer a maximum "virtual cache" assuming a monetary reward is paid to them by the service/content provider. Nodes are allowed to merge into different spatio-temporal coalitions in order to increase the distributed cache size at the network edge. Results obtained through simulations using realistic urban mobility trace validate the performance of our caching system showing a ratio of 60-85% of cache hits compared to the 30-40% obtained by the existing schemes and 10% in case of no coalition

Cloned Meat, Voluntary Food Labeling, and Organic Oreos

[Excerpt] “In December 2006, the Food and Drug Administration (FDA) announced that it had reviewed all the available evidence and was poised to approve meat and milk from cloned animals and their progeny. I remember telling one of my colleagues, a patent law professor, who should be as comfortable with technology as anyone, about this development, and his response was, “Yuck. I’m not eating it!” To which of course I replied, “Humph. You won’t know the difference.” Meat or milk from a clone or its descendant is virtually identical to meat or milk from a non-clone, said the FDA, as it also announced that it would almost certainly not require food from clones to be labeled. Consumers often want information about where their food came from or about the processes employed in producing it. The food identity approach to labeling cannot take process into account unless the process affects the identity of the food. When the process does not change the food in any material way, process information on a label might suggest a difference that does not exist. The instinctive “yuck” to the thought of cloned meat highlights the tension between consumer preferences, the government’s science-based, food identity approach, and producers’ efforts to differentiate their products. Part I of this article identifies three functions that labels perform, outlines the types of information usually required, and introduces the rule that voluntary label information cannot be misleading. Part II focuses on process information and its implications. I argue that there is no truly voluntary labeling when consumers care about a feature; if some products are labeled, then unlabeled products bear a de facto label by implication. Partly because of the de facto mandatory labeling principle, process labeling has the potential to mislead consumers. In Part III, I examine some relevant characteristics of consumers. I argue that not all consumers can be misled by label information. Consumers who have no preferences or who are very knowledgeable about the labeled feature are not misled by process labeling. Finally, using labeling of genetically modified (GM) ingredients as an example, I suggest that mandatory labeling of some process information could enhance consumer sovereignty and welfare.

Effect of information about organic production on beef liking and consumer willingness to pay

The present study was aimed to assess the effect of information about organic production on beef liking and consumer willingness to pay. Mean scores of perceived liking were higher for organic beef (OB) as compared to conventional beef (CB). Expected liking scores were higher for OB than for CB. For OB the expected liking was significantly higher than the perceived liking expressed in blind conditions (negative disconfirmation), whereas for CB no difference was observed. Consumers completely assimilated their liking for OB in the direction of expectations. Consumers showed a willingness to pay for OB higher than the suggested price (P < 0.001), the latter corresponding to the local commercial value for organic beef. We conclude that the information about organic farming can be a major determinant of beef liking, thus providing a potential tool for meat differentiation to traditional farms

Do Consumers Want More Nutritional and Health Information on Wine Labels? Insights from the EU and USA

The global strategy to reduce the harmful use of alcohol launched in 2010 by the World Health Organization includes, amongst several areas of recommended actions, providing consumer information about, and labelling, alcoholic beverages to indicate alcohol-related harm. Labelling requirements worldwide for alcoholic drinks are currently quite diverse and somewhat limited compared to labelling on food products and on tobacco. In this context, the current paper contributes to the academic and political debate on the inclusion of nutritional and health information on wine labelling, providing some insights into consumer interest in, and preferences for, such information in four core wine-producing and -consuming countries: Italy, France, Spain, and the United States of America. A rating-based conjoint analysis was performed in order to ascertain consumer preferences for different formats of additional information on wine labels, and a segmentation of the sample was performed to determine the existence of homogeneous groups of consumers in relation to the degrees of usefulness attached to the nutritional and health information on wine labels. Our results highlight the interest expressed by European and United States consumers for introducing nutrition and health information on wine labels. However, the results of conjoint analysis show some signi\ufb01cant differences among stated preferences of the information delivery modes in different countries. In addition, segmentation analysis reveal the existence of signi\ufb01cant differences between consumer groups with respect to their interest in receiving additional information on wine labels. These differences are not only linked to the geographic origin of the consumers, or to socio-demographic variables, but are also related to wine consumption habits, attitudes towards nutritional information, and the degree of involvement with wine. This heterogeneity of consumer preferences indicates a need for a careful consideration of wine labelling regulations and merits further investigation in order to identify labelling guidelines in terms of the message content and presentation method to be used