13 research outputs found

    EETSQ: Energy Efficient Task Scheduling based on QoS Parameters in Cloud Computing Environment

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    Now a day, energy consumption is the big challenge in heterogeneous cloud computing environment that needs to be considered. Cloud service provider also needs to satisfy customer’s Quality of Service (QoS) for better utilization. An energy efficient task scheduling based on QoS parameter has been proposed to address above said challenge. Firsty, all the incoming tasks are categorized into four classes based on some special attributes and prioritize according to importance of the classes. Secondly, Physical Machines (PMs) type confirmation list is selected based on the number of resource blocks and then select one PM that has maximum QoS value. All the Virtual Machines (VMs) on selected PM are prioritized according to their weight. Experimental evaluation done on CloudSim shows the effectiveness and efficiency of proposed approach

    Workflow Scheduling in Cloud Computing

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    RESOURCE SCHEDULING IN CLOUD ENVIRONMET: A SURVEY

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    Cloud Computing offers the avant-garde services at a stretch that are too attractive for any cloud user to ignore. With its growing application and popularization, IT companies are rapidly deploying distributed data centers globally, posing numerous challenges in terms of scheduling of resources under different administrative domains. This perspective brings out certain vital factors for efficient scheduling of resources providing a wide genre of characteristics, diversity in context of level of service agreements and that too with user-contingent elasticity. In this paper, a comprehensive survey of research related to various aspects of cloud resource scheduling is provided. A comparative analysis of various resource scheduling techniques focusing on key performance parameters like Energy efficiency, Virtual Machine allocation and migration, Cost-effectiveness and Service-Level Agreement is also presented
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