M Tech Dissertations

Permanent URI for this collectionhttp://drsr.daiict.ac.in/handle/123456789/3

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    Approach to build multi-tenant SaaS application with monitoring and SLA
    (Dhirubhai Ambani Institute of Information and Communication Technology, 2012) Aghera, Piyush; Chaudhary, Sanjay
    SaaS (Software as a Service) is a modern approach to deliver large scalable enterprise software as a service on Internet. Cloud computing platform provides the scalability, availability and utility computing for services on internet. There are many technical challenges involved in SaaS development. One of them is multi-tenancy, which allows single instance of software to serve multiple organizations by accommodating their unique requirements through conguration at the same time. SaaS architecture requires both conguration and some level of customization to achieve higher maturity model. In this thesis, we propose a metadata based SaaS application architecture which is independent of underlying cloud infrastructure. We aim to propose independent SaaS platform concepts, to avoid vendor locking as observed in case of many commercial service providers. SaaS application development should be independent of underlying infrastructure so that application can be migrated from one cloud to another cloud without changing the code. It is possible only if all the players follow the identical as well dened standard SaaS architecture. Our proposed architecture includes monitoring, tenant management, tenant administration, tenant conguration and large data management services. Existing architecture has used simple XML le to store and retrieve tenant specic conguration. File operations are the bottle neck while accessing data for large organization at the same time. In this approach, we have used Memcached concept and it is supported by almost all databases to boost the performance. In addition to this, we have considered application pooling on a web server to manage priority among tenants. Application pooling works as a static load balancer for incoming large request. To realize proposed architecture, we have developed and demonstrated seleced functionalities of University Management System and it is capable to support multi-tenancy.
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    Service level agreement parameter matching in cloud computing
    (Dhirubhai Ambani Institute of Information and Communication Technology, 2011) Chauhan, Tejas; Chaudhary, Sanjay; Bise, Minal
    Cloud is a large pool of easily usable and accessible virtualized resources (such as hardware, development platforms and/or software services). It provides an on-demand, pay-asyo-ugo computing resources and had become an alternative to traditional IT infrastructure. As more and more consumers delegate their task to cloud providers, Service Level Agreement (SLA) between consumer and provider becomes an important aspect. Due to the dynamic nature of cloud the matching of service level agreement need to be dynamic and continuous monitoring of Quality of Service (QoS) is necessary to enforce SLAs. This complex nature of cloud warrants a sophisticated means of managing SLAs. SLA contains many parameters like cloud’s types of services, resources (physical memory, main memory, processor speed, ethernet speed etc.) and properties (availability, response time, server reboot time etc.). At present, actual Cloud SLAs are typically plain-text documents, and sometimes an informative document published online. Consumer needs to manually match application requirements with each and every cloud provider to identify compatible cloud provider. This work addresses the issue of matching SLA parameters to find best suitable cloud provider. Proposed algorithm identifies the compatible cloud provider by matching parameters of application requirements and cloud SLAs. It gives suggestion to a consumer in terms of number of matched parameters.
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    ItemOpen Access
    Service selection using WS-agreement
    (Dhirubhai Ambani Institute of Information and Communication Technology, 2008) Chudasma, Nrupen; Chaudhary, Sanjay
    The business requirements are dynamic in nature and identification of suitable busi- ness partners "on demand", who can satisfy a set of guarantees is a critical process. Selection of business partners is influenced by several parameters including maximizing profit, minimizing cost, reliability, credit history, etc. A business process can be decomposed into several tasks, possibly expressed as Web services implementing desired business functionalities. Each service offers a set of guarantees, each defining a Service Level Objective(SLO). Many service providers may provide the similar business functionality in the form of service with different SLOs. Thus it is necessary to select the service offered by service partner such that overall performance of the process is improved. The thesis proposes architecture for solving selection of the best service provided by available service partners. To put across our approach, the thesis has taken examples from the Agro-Produce marketing System. By specifying requirements of the service in the form of multiple service level objectives (SLOs), selection of a service provider can be achieved based on the best or optimal matching of SLOs of service consumer and providers. A set of services, SLOs, and participating actors constitute a Service Level Agreement (SLA). In this work, WS-Agreement specification is used to specify the SLA. For flexible selection, role of semantic web concepts such as ontology and semantic rule language is discussed. The service partner must comply with the multiple criteria and preferences of a requester, Multi Criteria Decision Making (MCDM) methods is required in the service selection process. Two scenarios for service selection from Agro-Produce market system are taken. One is single service selection where selection of sellers selling mangos are selected based on the best seller offered. Second one is related to service composition where more than two services need to be selected, such that overall process performance is improved. The scenario is from rice production process where selection of farmer, rice-miller, storage provider and transporter contribute to overall cost, quantity and quality of rice.