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Gluster QoS at	Facebook
Michael	Goulet,	Caltech
Overview
• Goals/non-goals
• Namespace	tagging
• Io-threads	changes
• Changes	in-action	(data!)
• Future	work
Problem	Statement
• Increasing	storage	utilization	requires	higher-density	deployments
• Many	Gluster users	at	FB	only	use	a	fraction of	their	deployed	capacity!
• Sharing	volumes	between	tenants	is	one	way	to	increase	density
• However,	it	can	be	unreliable	to	share	with	“noisy	neighbors”
• Goal	of	better	space	utilization	does	not	justify	worse	performance
Goals	and	Non	Goals
• Need	to	spread	I/O	fairly between	tenants
• “fairly”	=	policy-based	share	of	total	IOPS,	not	naïve	first-come	first-
served
• “tenant”	=	real	person/org	(or	internal	activity),	may	have	multiple	
clients/connections
• Not	trying	to	achieve	fine-grained	perfect	ratios
• Just	“keeping	a	lid”	on	greedy	or	malfunctioning	users
• Try	to	make	sure	everyone has	some	traffic	going	through
• Avoid	absolute	numbers	(e.g.	IOPS),	tricky	tuning
• Not	scalable	and	difficult	to	manage
Goals	and	Non	Goals
• Need	to	spread	I/O	fairly between	tenants
• “fairly”	=	policy-based	share	of	total	IOPS,	not	naïve	first-come	first-
served
• “tenant”	=	real	person/org	(or	internal	activity),	may	have	multiple	
clients/connections
• Not	trying	to	achieve	fine-grained	perfect	ratios
• Just	“keeping	a	lid”	on	greedy	or	malfunctioning	users
• Try	to	make	sure	everyone has	some	traffic	going	through
• Avoid	absolute	numbers	(e.g.	IOPS),	tricky	tuning
• Not	scalable	and	difficult	to	manage
”Who	should	I	say	is	calling?”
• Before	we	can	do	anything,	we	have	to	know	which	request	belongs	to	
which	tenant.
• “namespace”	=	top	level	directory	under	volume	root
• Namespace	translator	runs	on	bricks,	right	below	server	translator.
• Tags	FOPs	with	namespace	information	for	use	in	later	translators.
• Brick-side	tagging	has	pros/cons:
• Impartial	to	any	specific	connection	method	(NFS,	FUSE,	etc)
• However,	we		have	no	client-side	information	to	guide	FOP-tagging	process
”Who	should	I	say	is	calling?”
• Before	we	can	do	anything,	we	have	to	know	which	request	belongs	to	
which	tenant.
• “namespace”	=	top	level	directory	under	volume	root
• Namespace	translator	runs	on	bricks,	right	below	server	translator.
• Tags	FOPs	with	namespace	information	for	use	in	later	translators.
• Brick-side	tagging	has	pros/cons:
• Impartial	to	any	specific	connection	method	(NFS,	FUSE,	etc)
• However,	we		have	no	client-side	information	to	guide	FOP-tagging	process
Namespace	Tagging	at	a	High-level
• For	each	request,	find	top-level	directory	
(much	like	quota	does)
• Hash	directory	name	to	a	namespace	ID
• Tag	FOP	for	subsequent	translators	to	use
• Other	translators	just	need	to	convert	
namespace	ID	back	to	a	namespace	string
• Bonus:	Enables	per-namespace	statistics	
and	other	namespace	tracking	for	free
• Invaluable	for	identifying	“bad	actors”	in	
production
Namespace	Tagging	at	a	High-level
• For	each	request,	find	top-level	directory	
(much	like	quota	does)
• Hash	directory	name	to	a	namespace	ID
• Tag	FOP	for	subsequent	translators	to	use
• Other	translators	just	need	to	convert	
namespace	ID	back	to	a	namespace	string
• Bonus:	Enables	per-namespace	statistics	
and	other	namespace	tracking	for	free
• Invaluable	for	identifying	“bad	actors”	in	
production
Sharing	Time:	Ensuring	Fairness
• Modifications	to	io-threads translator,	group	FOPs	
by	namespace
• Separate	queue	per-tenant	instead	of	per-connection
• General	approach	to	scheduling	is	Weighted	Fair	
Queuing
• Each	tenant	gets	a	“share”	(weight)
• FOPS[tenant]	=	FOPS[total]	*	share[tenant]	/	share[total]
• Tenant	queues	are	strung	together	in	a	ring-of-queues	called	“the	
clock.”
• The	same	queue	can	show	up	multiple	times	in	the	clock	based	on	
weight
• Future:	experiment	with	other	priority	algorithms
• Abstract	io-threads	so	different	algorithms	can	be	plugged	in	and		
chosen
• e.g.	Deficit	Round	Robin	(to	deal	with	very	expensive	operations)
Sharing	Time:	Ensuring	Fairness
• Modifications	to	io-threads translator,	group	FOPs	
by	namespace
• Separate	queue	per-tenant	instead	of	per-connection
• General	approach	to	scheduling	is	Weighted	Fair	
Queuing
• Each	tenant	gets	a	“share”	(weight)
⌾ FOPS[tenant]	=	FOPS[total]	*	share[tenant]	/	share[total]
• Tenant	queues	are	strung	together	in	a	ring-of-queues	called	“the	
clock.”
• The	same	queue	can	show	up	multiple	times	in	the	clock	based	on	
weight
• Future:	experiment	with	other	priority	algorithms
• Abstract	io-threads	so	different	algorithms	can	be	plugged	in	and		
chosen
• e.g.	Deficit	Round	Robin	(to	deal	with	very	expensive	operations)
Sharing	Time:	Ensuring	Fairness
• Modifications	to	io-threads translator,	group	FOPs	
by	namespace
• Separate	queue	per-tenant	instead	of	per-connection
• General	approach	to	scheduling	is	Weighted	Fair	
Queuing
• Each	tenant	gets	a	“share”	(weight)
⌾ FOPS[tenant]	=	FOPS[total]	*	share[tenant]	/	share[total]
• Tenant	queues	are	strung	together	in	a	ring-of-queues	called	“the	
clock.”
• The	same	queue	can	show	up	multiple	times	in	the	clock	based	on	
weight
• Future:	experiment	with	other	priority	algorithms
• Abstract	io-threads	so	different	algorithms	can	be	plugged	in	and		
chosen
• e.g.	Deficit	Round	Robin	(to	deal	with	very	expensive	operations)
Relative	FOP	numbers
FOPs	/	second
High-priority	Share Low-priority	Share
1:1 1:2
1:3
1:10 Off
Relative	FOP	numbers
FOPs	/	second
High-priority	Share Low-priority	Share
1:1 1:2
1:3
1:10 Off
Ratios!
0
2
4
6
8
10
12
Ratio	between	FOP	rates
1:3
1:10 Off
1:1
1:2
Ratios!
0
2
4
6
8
10
12
Ratio	between	FOP	rates
1:3
1:10 Off
1:1
1:2
Future	Plans
• Full-scale,	production	rollout	of	Namespace	changes
• Upstreaming	to	3.8,	then	4.x
• Gather	high-IO	and	high-capacity	customers	onto	shared	volumes
• Explore	new	queueing	algorithms	in	io-threads (e.g.	DRR)
• Tighter	integration	with	other	Gluster features
• Self-heal,	rebalance
• Snapshots
• Multiplexing
Future	Plans
• Full-scale,	production	rollout	of	Namespace	changes
• Upstreaming	to	3.8,	then	4.x
• Gather	high-IO	and	high-capacity	customers	onto	shared	volumes
• Explore	new	queueing	algorithms	in	io-threads (e.g.	DRR)
• Tighter	integration	with	other	Gluster features
• Self-heal,	rebalance
• Snapshots
• Multiplexing
Questions

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