How to Handle Big Data

whitePaper | November 27, 2019

The purpose of this document is to provide VMware® vSAN ReadyNode™ configurations from OEM vendors. vSAN ReadyNode™ is a validated server configuration in a tested, certified hardware form factor for vSAN deployment, jointly recommended by the server OEM and VMware. vSAN ReadyNode™ are ideal as hyper-converged building blocks for larger data center environments looking for automation and a need to customize hardware and software configurations.

whitePaper | November 5, 2019

Citrix Virtual Apps and Desktops provides virtualization solutions that give IT control of virtual machines, applications, and security while providing anywhere access for any device. End users can use applications and desktops independently of the device’s operating system and interface.

whitePaper | February 23, 2022

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whitePaper | May 9, 2022

The modern distributed workplace—including enterprises with thousands of branches and remote workers—requires updated approaches to cloud, networking, and security infrastructure. Cloud migration has opened the door to a huge increase in sophisticated applications, requiring networks that can carry traffic to an increasingly remote workforce. In turn, this creates a unique set of new requirements for security, including special capabilities to handle unpredictable locations of users, applications, and traffic flows.

whitePaper | June 16, 2022

An overarching aspiration of digital sovereignty represents the need to ensure a national (or regional), sovereign end-to-end digital capability and control. Such an aspiration is not only concerned with the sovereign protection of data, but going beyond such data sovereignty concerns and ensuring access to sovereign digital tools to develop applications.

whitePaper | January 7, 2020

Intel Page Modification Logging (PML) is a novel hardware feature for tracking virtual machine (VM) accessed memory pages. This task is essential in today’s data centers since it allows, among others, checkpointing, live migration and working set size (WSS) estimation. Relying on the Xen hypervisor, this paper studies PML from three angles: power consumption, efficiency, and performance impact on user applications. Our findings are as follows. First, PML does not incur any power consumption overhead. Second, PML reduces by up to 10.18% both VM live migration and checkpointing time. Third, PML slightly reduces by up to 0.95% the performance degradation on applications incurred by live migration and checkpointing.