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This paper presents our initial efforts towards building a cognitive analytics framework for change management. We propose a novel predictive algorithm for change risk calculation based on historical change failures, server failures, change triggered incidents as well as expert user input. Our predictive algorithm provides significant improvement over traditional risk assessments in proactively capturing...
It is common knowledge in the IT service domain that changes to the system configuration are responsible for a major portion of incidents that result in client outages. However, it is typically very difficult to establish a relationship between changes and incidents as proper documentation takes lower priority at change creation time, as well as during incident management, in order to deal with the...
Infrastructure as a Service (IaaS) clouds provide users with the ability to easily and quickly provision servers. A recent study found that one in three data center servers continues to consume resources without producing any useful work. A number of techniques have been proposed to identify such unproductive instances. However, those approaches adopt the strategy to identify idle cloud instances...
IT service providers are faced with a dilemma when trying to ensure proper function and effective operation of their clients' infrastructure. On one hand, frequent changes to the IT infrastructure are required to ensure smooth operation; on the other hand, studies show that changes are responsible for 80% of all incidents that result in client outages. This paper proposes a novel methodology for investigating...
Large enterprises are confronted with an increased need to fully understand the IT systems that support their business applications. Unfortunately, conventional communication trace-based approaches to discovering IT infrastructure dependencies are insufficient to gain a comprehensive mapping of business applications to IT infrastructure. This paper describes BizMap, a novel, information-discovery-based...
In today’s enterprise world, information about business entities such as a customer’s or patient’s name, address, and social security number is often present in both relational databases as well as content repositories. Information about such business entities is generally well protected in databases by well-defined and fine-grained access control. However, current document retrieval systems do not...
Compared to traditional analytics deployment models, cloud-based solutions for business analytics provide numerous advantages such as reduction of a large upfront infrastructural cost and the efforts to setup an in-house analytics team. Such advantages of cloud-based service delivery make it particularly attractive for small and medium businesses. In spite of these advantages, analytics penetration...
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