Cloud management

Abstract: Cloud computing is today’s most emphasized Information and Communications Technology (ICT) paradigm that is directly or indirectly used by almost every online user. However, such great significance comes with the support of a great infrastructure that includes large data centers comprising thousands of server units and other supporting equipment. Their share in power consumption generates between 1.1p and 1.5p of the total electricity use worldwide and is projected to rise even more. Such alarming numbers demand rethinking the energy efficiency of such infrastructures. However, before making any changes to infrastructure, an analysis of the current status is required. In this article, we perform a comprehensive analysis of an infrastructure supporting the cloud computing paradigm with regards to energy efficiency. First, we define a systematic approach for analyzing the energy efficiency of most important data center domains, including server and network equipment, as well as cloud management systems and appliances consisting of a software utilized by end users. Second, we utilize this approach for analyzing available scientific and industrial literature on state-of-the-art practices in data centers and their equipment. Finally, we extract existing challenges and highlight future research directions.

Abstract: When users flood in cloud data centers, how to efficiently manage hardware resources and virtual machines (VMs) in a data center to both lower economical cost and ensure a high service quality becomes an inevitable work for cloud providers. VM migration is a cornerstone technology for the majority of cloud management tasks. It frees a VM from the underlying hardware. This feature brings a plenty of benefits to cloud providers and users. Many researchers are focusing on pushing its cutting edge. In this paper, we first give an overview of VM migration and discuss both its benefits and challenges. VM migration schemes are classified from three perspectives: 1) manner; 2) distance; and 3) granularity. The studies on non-live migration are simply reviewed, and then those on live migration are comprehensively surveyed based on the three main challenges it faces: 1) memory data migration; 2) storage data migration; and 3) network connection continuity. The works on quantitative analysis of VM migration performance are also elaborated. With the development and evolution of cloud computing, user mobility becomes an important motivation for live VM migration in some scenarios (e.g., fog computing). Thus, the studies regarding linking VM migration to user mobility are summarized as well. At last, we list the open issues which are waiting for solutions or further optimizations on live VM migration.

Abstract: A cloud management system can insert a self-management module in virtual machines. The self-management module can be configured to automatically perform management functions on the virtual machine in which it is inserted. The management functions can include activation, suspension, or termination of the virtual machine. The management functions can also include tracking and monitoring the virtual machine. The management functions can also include providing messages to the cloud management system regarding the status and usage of the virtual machine.

Abstract: Embodiments relate to systems and methods for identification and management of cloud-based virtual machines. A user requests the instantiation of a set of virtual machines from a cloud computing environment. A cloud management system requests the resources necessary to build the machines from a set of resource servers. After populating the set of virtual machines from the cloud, the cloud management system inserts a token ID into one of the virtual machines to designate that machine as a management instance. An image of that machine can be stored in the cloud management system to represent the configuration of the set of virtual machines, even when the cloud itself lacks permanent storage. When the user wishes to update the set of virtual machines, the cloud management system can insert another token ID into another virtual machine, reconfigure the software, processing, or other resources of that machine as a revised management instance.