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Hybrid cloud-based deployment is a trend in cloud computing which enables enterprise to benefit from cloud infrastructures while honoring privacy restrictions on some services. Enterprise application migration is an effective way to improve the efficiency of using the cloud infrastructures. However, it is a challenging problem to decide which parts of the applications to migrate and where to migrate...
The completion times of jobs in a computing cluster may be influenced by a variety of factors including job size and machine processing variability. In this paper, we explore online resource allocation policies which combine size-dependent scheduling with redundant execution and opportunistic checkpointing to minimize the overall job flowtime. We introduce a simplified model for the job service capacity...
Network function virtualization enables flexible implementation of network functions, or middleboxes, as virtual machines running on standard servers. However, the flexibility also creates a challenge for efficiently placing such middleboxes, due to the availability of multiple hosting servers, capability of middleboxes to change traffic volumes, and dependency between middleboxes. In this paper,...
The content delivery network (CDN) intensively uses cache to push the content close to end users. Over both traditional Internet architecture and emerging cloud-based framework, cache allocation has been the core problem that any CDN operator needs to address. As the first step for cache deployment, CDN operators need to discover or estimate the distribution of user requests in different geographic...
Distributed storage systems are known to be susceptible to long tails in response time. It has been shown that in modern online applications such as Bing, Facebook, and Amazon, the long tail of latency is of particular concern, with 99.9th percentile response times being orders of magnitude worse than the mean. As erasure codes emerge as a popular technique in distributed storage to achieve high data...
It is a challenge for Information-Centric Network (ICN) that how to maximize the utilization of network-embedded cache. On-path collaboration is an efficient way to reduce access latency and cache redundancy. All nodes on ICN routing path work together to achieve higher performance than individual cache, and lower collaboration overhead than regional collaborative cache. In this paper, we formulate...
Our work presents a methodology and a tool to optimize Android applications using mobile computation offloading techniques. Our demo provides a study about the compatibility of being offloaded of Android methods and a methodology to autonomously classify Android methods based on their functions.
AWS Lambda (Amazon Web Services) is the most popular serverless architecture provided by Amazon. It currently supports three platforms: JavaScript, Python, and Java Virtual Machine (JVM). The JVM could be the most complicate platform among the three as there are many languages that target the JVM platform besides Java. In addition, the complex hierarchy of dependencies, versioning, and the class loader...
Information Centric Networks (ICN) is very promising for Internet of Things (IoT) deployment, where the data-centric approach is useful in reducing the data retrieval latency as well as the network traffic for IoT services. Also, the innetwork caching capabilities in ICN limits the massive data access to the data producers and so relaxes the need of continuous connectivity E2E connectivity between...
Mobile edge computing is a novel technique in which mobile devices offload computation-intensive tasks with stringent delay requirements to the edge cloud. However, the limited computational resource in the edge cloud may result in the Quality of Service degradation. In this paper, we address this issue by coordinating the heterogeneous cloud which includes the edge cloud and the remote cloud. Considering...
The cost of grid energy of cloud providers rises greatly due to the growing number of Internet services. Therefore, researches on energy-efficient cloud data centers (ECDCs) are increasingly focused on the effective use of renewable energy instead of brown energy for environmental protection. Because of the temporal difference in price of grid, solar irradiance and wind speed, it is difficult to satisfy...
Merging Mobile Edge Computing (MEC), which is an emerging paradigm to meet the increasing computation demands from mobile devices, with the dense deployment of Base Stations (BSs), is foreseen as a key step towards the next generation mobile networks. However, new challenges arise for designing energy efficient networks since radio access resources and computing resources of BSs have to be jointly...
Mobile edge computing (MEC) has risen as a promising technology to augment computational capabilities of mobile devices. Meanwhile, in-network caching has become a natural trend of the solution of handling exponentially increasing Internet traffic. The important issues in these two networking paradigms are computation offloading and content caching strategies, respectively. In order to jointly tackle...
Software-Defined Networking is a new approach to the design and management of networks. It decouples the software-based control plane from the hardware-based data plane while abstracting the underlying network infrastructure and moving the network intelligence to a centralized software-based controller where network services are deployed. The challenge is then to efficiently provision the service...
Systems for processing large scale analytical workloads are increasingly moving from on-premise setups to on-demand configurations deployed on scalable cloud infrastructures. To reduce the cost of such infrastructures, existing research focuses on developing novel methods for workload and server consolidation. In this paper, we combine analytical modeling and non-linear optimization to help cloud...
Network Function Virtualization (NFV) is a new paradigm, enabling service innovation through virtualization of traditional network functions located flexibly in the network in form of Virtual Network Functions (VNFs). Since VNFs can only be placed onto servers located in networked data centers, which is the NFV's salient feature, the traffic directed to these data center areas has significant impact...
This paper considers centralized coded caching, where the server not only designs the users' cache contents, but also assigns their cache sizes under a total cache memory budget. The server is connected to each user via a link of given finite capacity. For given link capacities and total memory budget, we minimize the worst-case delivery completion time by jointly optimizing the cache sizes, the cache...
In virtualized datacenters (vDCs), dynamic consolidation of virtual machines (VMs) is used as one of the most common techniques to achieve both energy-and resource-utilization efficiency. Live migrations of VMs are used for dynamic consolidation but due to dynamic resource demand variation of VMs may lead to frequent and non-optimal migrations. Assuming deterministic workload of the VMs may ensure...
This paper presents a method of cloud resource allocation designed to take into account both consumers and providers' interests. This comes in contrast to today's provider centered models that subject users to more restrictive terms and conditions. Both parties' interests are computed in the form of integer constraints. Costs and availability are embedded as key objectives and performance criteria...
Multiview applications endow final users with the possibility to freely navigate within 3D scenes with minimum-delay. High-quality rendering of the scene is enabled by transmitting multiple high-quality camera views, which can be used to synthesize additional virtual views to offer a smooth navigation in the scene. When network resources are limited, the set of camera views needs to be properly selected...
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