Rajeshwari Ganesan

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Component-based development (CBD) has become a much talked-about subject today. While the technology of CBD--as exemplified by environments such as EJB and COM--has become increasingly mature, this has not been complemented by corresponding maturity on the methodology front. Of the few published methodologies available for the design of components, most(More)
Sharing of physical infrastructure using virtualization presents an opportunity to improve the overall resource utilization. It is extremely important for a Software as a Service (SaaS) provider to understand the characteristics of the business application workload in order to size and place the virtual machine (VM) containing the application. A typical(More)
True essence of the technology of virtualization is the ability to allow one or more workloads to share the underlying physical resources, thereby bringing about significant cost saving. However, in order to maximize the cost savings from this disruptive technology, it is essential to adopt optimal resource management techniques. These techniques broadly(More)
This paper characterizes operational failures of a production Custom Package Good Software-as-a-Service (SaaS) platform. Events log collected over 283 days of in-field operation are used to characterize platform failures. The characterization is performed by estimating (i) common failure types of the platform, (ii) key factors impacting platform failures,(More)
Security alerts collected under real workload conditions represent a goldmine of information to protect integrity and confidentiality of a production Cloud. Nevertheless, the volume of runtime alerts overwhelms operations teams and makes forensics hard and time consuming. This paper investigates the use of different text weighting schemes to filter an(More)
This article consists of a collection of slides from the author's PowerPoint conference presentation. A procedure and a statistical model to measure the risk of error when processing a workload X is proposed. It is concluded that architecting hazard-aware load balancer for Cloud SaaS can be promising.
The increasing popularity of Software as a Service (SaaS) stresses the need of solutions to predict failures and avoid service interruptions, which invariably result in SLA violations and severe loss of revenue. A promising approach to continuously monitor the correct functioning of the system is to check the execution conformance to a set of invariants,(More)
Software failures, workload-related failures and job overload conditions bring about SLA violations in software-as-a-service (SaaS) systems. Existing work does not address mitigation of SLA violations completely as (i) none of them address mitigation of SLA violations in business specific scenarios (SaaS, in our case), (ii) while some do not address(More)